@article {pmid40319413,
year = {2025},
author = {Wang, Y and Mao, Z and Yu, J and Feng, B and Zhang, Z and Zhong, L and Tang, Y},
title = {Construction of risk management system for polluted sites in coal industry clusters.},
journal = {Environmental geochemistry and health},
volume = {47},
number = {6},
pages = {195},
pmid = {40319413},
issn = {1573-2983},
mesh = {*Coal Industry ; *Risk Management/methods ; China ; *Coal ; *Environmental Pollution/prevention & control/statistics & numerical data ; Soil/chemistry ; Groundwater/chemistry ; Environmental Restoration and Remediation ; Environmental Monitoring ; Risk Assessment ; Decision Making, Organizational ; *Coal Mining ; Decision Making, Computer-Assisted ; Algorithms ; *Environmental Pollutants/analysis ; },
abstract = {Coal has always been the main source of energy in China, accounting for more than 60% of primary energy production and consumption. As a result of coal mining, coal industry agglomerations such as mining, coal chemical industry, and so on have been gradually formed, and there are many types of industries in the agglomerations, complex sources of pollutants, and sensitive soil and water environments, and all kinds of industrial sites and solid waste dumps of coal-related industries may pollute the soil and groundwater, and have a certain impact on the ecological environment. However, at present, there is a lack of a targeted region-wide pollution risk management technology system for the polluted sites in the agglomeration area, therefore, it is particularly important to construct a scientific and complete soil-groundwater risk management system and propose more targeted and effective control strategies for the polluted sites in the coal industry agglomeration area. Based on the domestic and international experience and historical data, this paper takes the coal industry cluster area as the research object classifies the land in the area according to the land use type into construction land, agricultural land, and another ecological land, and carries out the risk zoning and grading based on the dosage-effect model and the potential ecological hazard index method respectively, assesses the appropriateness, feasibility, and necessity of the implementation of risk control for the polluted plots, and then designs and develops a risk control decision-making framework by using the hierarchical analysis method. Hierarchical analysis was used to design and develop a decision-making framework for risk management, and finally, the optimal risk management and remediation strategy was proposed based on the AHP + TOPSIS algorithm, which combined with the contaminated land conditions to propose a suitable solution.},
}

*Coal Industry
*Risk Management/methods
China
*Coal
*Environmental Pollution/prevention & control/statistics & numerical data
Soil/chemistry
Groundwater/chemistry
Environmental Restoration and Remediation
Environmental Monitoring
Risk Assessment
Decision Making, Organizational
*Coal Mining
Decision Making, Computer-Assisted
Algorithms
*Environmental Pollutants/analysis

@article {pmid40318965,
year = {2025},
author = {Lucca, E and Kofinas, D and Avellán, T and Kleemann, J and Mooren, CE and Blicharska, M and Teutschbein, C and Sperotto, A and Sušnik, J and Milliken, S and Fader, M and Đorđević, D and Dašić, T and Vasilić, V and Taiwo, B and Baubekova, A and Pineda-Martos, R and Spyropoulou, A and Baganz, GFM and El Jeitany, J and Oral, HV and Merheb, M and Castelli, G and Pagano, A and Sambo, B and Suškevičs, M and Arnold, M and Rađenović, T and Psomas, A and Masia, S and La Jeunesse, I and Amorocho-Daza, H and Das, SS and Bresci, E and Munaretto, S and Brouwer, F and Laspidou, C},
title = {Corrigendum to "Integrating 'nature' in the water-energy-food nexus: Current perspectives and future directions" [Science of The Total Environment, Volume 966, 2025, 178600].},
journal = {The Science of the total environment},
volume = {},
number = {},
pages = {179482},
doi = {10.1016/j.scitotenv.2025.179482},
pmid = {40318965},
issn = {1879-1026},
}

@article {pmid40318638,
year = {2025},
author = {Aguilar-Gómez, D and Bejder, J and Graae, J and Ko, Y and Vaughn, A and Clement, K and Tristani-Firouzi, M and Lee, JY and Nordsborg, NB and Nielsen, R and Ilardo, M},
title = {Genetic and training adaptations in the Haenyeo divers of Jeju, Korea.},
journal = {Cell reports},
volume = {},
number = {},
pages = {115577},
doi = {10.1016/j.celrep.2025.115577},
pmid = {40318638},
issn = {2211-1247},
abstract = {Natural selection and relative isolation have shaped the genetics and physiology of unique human populations from Greenland to Tibet. Another such population is the Haenyeo, the all-female Korean divers renowned for their remarkable diving abilities in frigid waters. Apnea diving induces considerable physiological strain, particularly in females diving throughout pregnancy. In this study, we explore the hypothesis that breath-hold diving has shaped physiological and genetic traits in the Haenyeo. We identified pronounced bradycardia during diving, a likely training effect. We paired natural selection and genetic association analyses to investigate adaptive genetic variation that may mitigate the effects of diving on pregnancy through an associated reduction of diastolic blood pressure. Finally, we identified positively selected variation in a gene previously associated with cold water tolerance, which may contribute to reduced hypothermia susceptibility. These findings highlight the importance of traditional diving populations for understanding genetic and physiological adaptation.},
}

@article {pmid40318544,
year = {2025},
author = {Gomes, MLS and Cestari, VRF and Florêncio, RS and Yamamura, M and Santos, JO and Sales, LBF and Silva, RR and Oriá, MOB},
title = {Spatial-temporal analysis of cervical cancer screening and social and health indicators in Brazil.},
journal = {Public health},
volume = {243},
number = {},
pages = {105747},
doi = {10.1016/j.puhe.2025.105747},
pmid = {40318544},
issn = {1476-5616},
abstract = {OBJECTIVE: To identify the spatial-temporal patterns of cervical cancer (CC) screening in Brazil from 2013 to 2022 and its relationship with social and health indicators.

STUDY DESIGN: This ecological study uses data from the Cancer Information System (SISCAN) of the Brazilian Unified Health System's Department of Informatics.

METHODS: The study analyzed women aged 25 to 64 who underwent CC screening in 5570 municipalities across Brazil. Global Moran's I and the Local Index of Spatial Autocorrelation (LISA) were employed to investigate clustering. The purely spatial scan statistic technique was used for spatial cluster detection. Temporal trends were assessed using joinpoint regression. GeoDa, SaTScan, GWR, and QGIS software were used for the analysis.

RESULTS: The global clustering analysis of CC screening proportions revealed significant spatial autocorrelation (Moran's I = 0.530). Clusters of municipalities with low screening rates were significantly observed in the Northern (Amapá, Amazonas, Rondônia, Roraima) and Northeastern (Piauí, Pernambuco) regions. The Gini Index (β = -2.60), the Municipal Human Development Index (MHDI) (β = -10.5), and the Social Vulnerability Index (SVI) (β = -9.14) showed negative associations. Conversely, Family Health Strategy (FHS) coverage (β = 2.18) demonstrated a positive impact on screening rates. In terms of temporal trends, the screening proportion gradually increased from 5.4 % in 2014 to 10.5 % in 2022.

CONCLUSION: Areas with a high risk of low CC screening rates were identified in the Northern and Northeastern regions of Brazil, which are characterized by socioeconomic and demographic disparities, vulnerabilities, and inequalities.},
}

@article {pmid40317095,
year = {2025},
author = {Seizer, L and Pascher, A and Branz, S and Schmitt, N and Löchner, J and Schuller, BW and Rohleder, N and Renner, TJ},
title = {Bridging acute and chronic stress effects on inflammation: protocol for a mixed-methods intensive longitudinal study.},
journal = {BMC psychology},
volume = {13},
number = {1},
pages = {464},
pmid = {40317095},
issn = {2050-7283},
mesh = {Humans ; Longitudinal Studies ; *Stress, Psychological/metabolism/immunology/complications ; *Inflammation/metabolism/psychology/immunology ; Saliva/chemistry ; Male ; Female ; Young Adult ; Chronic Disease ; Adult ; Ecological Momentary Assessment ; Biomarkers/metabolism ; Cytokines/metabolism ; Research Design ; },
abstract = {Acute stress triggers adaptive physiological responses-including transient increases in inflammatory cytokines-while chronic stress is associated with sustained inflammatory activity that may underlie the development of various disorders. Despite extensive research on each stress type individually, the transition and interaction between them remain underexplored. This study aims to address this gap by employing an intensive longitudinal measurement burst design. Healthy university students will be recruited and monitored over three one-week assessment bursts, spaced by three-month breaks. Participants will complete ecological momentary assessments four times daily, recording their emotional states, stress experiences, and daily incidents. Simultaneously, saliva samples will be collected at matching time points to measure biomarkers of immune and stress system activity. In addition, daily audio diaries will provide qualitative context through advanced speech analysis techniques. Data will be analyzed using a multi-level modeling approach to differentiate within-person dynamics from between-person variability, accounting for potential moderators. The findings are expected to shed light on how repeated acute stressors transition into chronic stress and how chronic stress burden may influence acute stress responses.},
}

Humans
Longitudinal Studies
*Stress, Psychological/metabolism/immunology/complications
*Inflammation/metabolism/psychology/immunology
Saliva/chemistry
Male
Female
Young Adult
Chronic Disease
Adult
Ecological Momentary Assessment
Biomarkers/metabolism
Cytokines/metabolism
Research Design

@article {pmid39937595,
year = {2025},
author = {Royaux, C and Mihoub, JB and Jossé, M and Pelletier, D and Norvez, O and Reecht, Y and Fouilloux, A and Rasche, H and Hiltemann, S and Batut, B and Marc, E and Seguineau, P and Massé, G and Amossé, A and Bissery, C and Lorrilliere, R and Martin, A and Bas, Y and Virgoulay, T and Chambon, V and Arnaud, E and Michon, E and Urfer, C and Trigodet, E and Delannoy, M and Loïs, G and Julliard, R and Grüning, B and Le Bras, Y and , },
title = {Guidance framework to apply best practices in ecological data analysis: lessons learned from building Galaxy-Ecology.},
journal = {GigaScience},
volume = {14},
number = {},
pages = {},
pmid = {39937595},
issn = {2047-217X},
support = {2020-1-NL01-KA203-064717//European Union/ ; //Agence Nationale de la Recherche/ ; //Muséum National d'Histoire Naturelle/ ; //Ministry of Higher Education and Research/ ; },
mesh = {*Ecology/methods/standards ; *Software ; *Data Analysis ; Reproducibility of Results ; *Computational Biology/methods/standards ; },
abstract = {Numerous conceptual frameworks exist for best practices in research data and analysis (e.g., Open Science and FAIR principles). In practice, there is a need for further progress to improve transparency, reproducibility, and confidence in ecology. Here, we propose a practical and operational framework for researchers and experts in ecology to achieve best practices for building analytical procedures from individual research projects to production-level analytical pipelines. We introduce the concept of atomization to identify analytical steps that support generalization by allowing us to go beyond single analyses. The term atomization is employed to convey the idea of single analytical steps as "atoms" composing an analytical procedure. When generalized, "atoms" can be used in more than a single case analysis. These guidelines were established during the development of the Galaxy-Ecology initiative, a web platform dedicated to data analysis in ecology. Galaxy-Ecology allows us to demonstrate a way to reach higher levels of reproducibility in ecological sciences by increasing the accessibility and reusability of analytical workflows once atomized and generalized.},
}

*Ecology/methods/standards
*Software
*Data Analysis
Reproducibility of Results
*Computational Biology/methods/standards

@article {pmid40316929,
year = {2025},
author = {Demsash, AW and Abebe, R and Gezimu, W and Kitil, GW and Tizazu, MA and Lembebo, A and Bekele, F and Alemu, SS and Jarso, MH and Dube, G and Wedajo, LF and Purohit, S and Kalayou, MH},
title = {Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6-23 months in Ethiopia.},
journal = {BMC infectious diseases},
volume = {25},
number = {1},
pages = {647},
pmid = {40316929},
issn = {1471-2334},
mesh = {Humans ; Ethiopia/epidemiology ; Infant ; *Pneumonia/epidemiology/diagnosis ; *Machine Learning ; Female ; Male ; Algorithms ; Risk Factors ; },
abstract = {INTRODUCTION: Pneumonia is the leading cause of child morbidity and mortality and accounts for 5.6 million under-five child deaths. Pneumonia has a significant impact on the quality of life, the country's economy, and the survival of children. Therefore, this study aimed to develop data-driven predictive model using machine learning algorithms to predict pneumonia and stratify the determinant factors among children aged 6-23 months in Ethiopia.

METHODS: A total of 2035 samples of children were used from the 2016 Ethiopian Demographic and Health Survey dataset. Jupyter Notebook from Anaconda Navigators was used for data management and analysis. Important libraries such as Pandas, Seaborn, and Numpy were imported from Python. The data was pre-processed into a training and testing dataset with a 4:1 ratio, and tenfold cross-validation was used to reduce bias and enhance the models' performance. Six machine learning algorithms were used for model building and comparison, and confusion matrix elements were used to evaluate the performance of each algorithm. Principal component analysis and heatmap function were used for correlation detection between features. Feature importance score was used to identify and stratify the most important predictors of pneumonia.

RESULTS: From 2035 total samples, 16.6%, 20.1%, and 24.2% of children had short rapid breath, fever, and cough respectively. The overall magnitude of pneumonia among children aged 6-23 months was 31.3% based on the 2016 EDHS report. A random forest algorithm is the relatively best performance model to predict pneumonia and stratify its determinates with 91.3% accuracy. The health facility visits, child sex, initiation of breastfeeding, birth interval, birth weight, husbands' education, women's age, and region, are the top eight important predictors of pneumonia among children with important scores of more than 5% to 20% respectively.

CONCLUSIONS: Random forest is the best model to predict pneumonia and stratify its determinant factors. The implications of this study are profound for advanced research methodology, tailored to promote effective health interventions such as lifestyle modification and behavioral intervention, based on individuals' unique features, specifically for stakeholders to take proactive childcare interventions. The study would serve as pioneering evidence for future research, and researchers are recommended to use deep learning algorithms to enhance prediction accuracy.},
}

Humans
Ethiopia/epidemiology
Infant
*Pneumonia/epidemiology/diagnosis
*Machine Learning
Female
Male
Algorithms
Risk Factors

@article {pmid40307287,
year = {2025},
author = {Wu, J and He, D and Wang, Y and Liu, S and Du, Y and Wang, H and Tan, S and Zhang, D and Xie, J},
title = {An integrated transcriptome, metabolome, and microbiome dataset of Populus under nutrient-poor conditions.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {717},
pmid = {40307287},
issn = {2052-4463},
mesh = {*Metabolome ; *Microbiota ; Nutrients ; Plant Roots/microbiology/metabolism ; *Populus/microbiology/genetics/metabolism ; Rhizosphere ; RNA, Ribosomal, 16S/genetics ; Soil Microbiology ; *Transcriptome ; Datasets as Topic ; },
abstract = {The rhizosphere microbiota recruited by plants contributes significantly to maintaining host productivity and resisting stress. However, the genetic mechanisms by which plants regulate this recruitment process remain largely unclear. Here, we generated a comprehensive dataset, including 27 root transcriptomes, 27 root metabolomes, and 54 bulk or rhizosphere soil 16S rRNA amplicons across nine poplar species from four sections grown in nutrient-poor natural soil, along with eleven growth phenotype data. We provided a thorough description of this dataset, followed by a comprehensive co-expression network analysis example that broke down the wall of the four-way relationship between plant gene-metabolite-microbe-phenotype, thus identifying the links between plant gene expression, metabolite accumulation, growth behavior, and rhizosphere microbiome variation under nutrient-poor conditions. Overall, this dataset enhances our understanding of plant and microbe interactions, offering valuable strategies and novel insights for resolving how plants regulate rhizosphere microbial compositions and functions, thereby improving host fitness, which will benefit future research.},
}

*Metabolome
*Microbiota
Nutrients
Plant Roots/microbiology/metabolism
*Populus/microbiology/genetics/metabolism
Rhizosphere
RNA, Ribosomal, 16S/genetics
Soil Microbiology
*Transcriptome
Datasets as Topic

@article {pmid40314555,
year = {2025},
author = {Yu, Z and Li, S and Yang, W and Chen, J and Rahman, MA and Wang, C and Ma, W and Yao, X and Xiong, J and Xu, C and Zhou, Y and Chen, J and Huang, K and Gao, X and Fensholt, R and Weng, Q and Zhou, W},
title = {Enhancing Climate-Driven Urban Tree Cooling with Targeted Nonclimatic Interventions.},
journal = {Environmental science & technology},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.est.4c14275},
pmid = {40314555},
issn = {1520-5851},
abstract = {Urban trees play a pivotal role in mitigating heat, yet the global determinants and patterns of their cooling efficiency (CE) remain elusive. Here, we quantify the diel CE of 229 cities across four climatic zones and employ a machine-learning model to assess the influence of variables on CE. We found that for every 10% increase in tree cover, surface temperatures are reduced by 0.25 °C during the day and 0.04 °C at night. Trees in humid regions exhibit the highest daytime CE, while those in arid zones demonstrate the greatest cooling effect at night. This can be explained by the difference in canopy density between the humid and arid zones. During the day, the high canopy density in the humid zone converts more solar radiation into latent heat flux. At night, the low canopy density in the arid zone intercepts less longwave radiation, which favors surface cooling. While climatic factors contribute nearly twice as much to CE as nonclimatic ones, our findings suggest that optimizing CE is possible by managing variables within specific thresholds due to their nonlinear effects. For instance, we revealed that in arid regions, an impervious surface coverage of approximately 60% is optimal, whereas in humid areas, reducing it to around 40% maximizes cooling benefits. These insights underscore the need for targeted management of nonclimatic factors to sustain tree cooling benefits and offer practical guidance for designing climate-resilient, nature-based urban strategies.},
}

@article {pmid40312707,
year = {2025},
author = {Ketchaji, A and Fokam, J and Assah, F and Ateba, F and Wandji, ML and Pamen, JNB and Djoko, GRP and Seugnou, CDN and Kah, E and Atangana, AF and Ateudjieu, J},
title = {The impact of short message service reminders or peer home visits on adherence to antiretroviral therapy and viral load suppression among HIV-Infected adolescents in Cameroon: a randomized controlled trial.},
journal = {AIDS research and therapy},
volume = {22},
number = {1},
pages = {49},
pmid = {40312707},
issn = {1742-6405},
mesh = {Humans ; *HIV Infections/drug therapy/virology ; Adolescent ; Female ; Cameroon/epidemiology ; Male ; *Viral Load/drug effects ; *Text Messaging ; *House Calls ; Young Adult ; *Medication Adherence ; *Anti-HIV Agents/therapeutic use ; *Reminder Systems ; Peer Group ; },
abstract = {BACKGROUND: Adherence to antiretroviral therapy (ART) and viral load suppression (VLS) constitute one of the key challenges to control human immunodeficiency virus (HIV), especially during adolescence. This trial aimed at assessing the impact of short message services (SMS) or peer home visits (PHV) on adherence to ART and VL suppression among adolescents living with HIV (ALWHIV) in Cameroon.

METHODS: A randomized controlled trial (RCT) was conducted from July 2018 to February 2019 at the Mother and Child Center of the Chantal Biya Foundation in Yaounde. Eligible ALWHIV (15-19 years), with a fully disclosed HIV status, with availability of phone and guardian's consent, were randomly assigned to receive either daily SMS or bi-weekly PHV for a six-months period. The control-group received standard of care according to the national guidelines. Study investigators and participants were not blinded to the interventions group allocation, and no adverse events or side effects were observed. Adjusted logistic regression was used to assess the impact of interventions on outcomes. The study was approved by The Pan-African Clinical Trials Registry with PACTR201904582515723 at (www.pactr.org).

RESULTS: Adherence to ART increased in the PHV (aRR: 4.3; 95% CI: 2.2-8.3; p < 0.001) and SMS (aRR: 3.1, 95% CI: 2.1-5.3; p < 0.001) groups compared to the control-group. Likewise, VL suppression was higher in PHV (aRR: 2.1; 95% CI: 1.9-7.5 p < 0.001) and SMS (aRR: 3.2; 95% CI: 1.8-5.4; p < 0.001) groups compared to the control-group. Based on CI, both interventions showed similar benefits on improving adherence and VLS.

CONCLUSIONS: Among ALHIV, SMS or PHV contribute substantially to improving adherence and VL suppression among ALWHIV. Implementing such strategies would support efforts in eliminating pediatric AIDS in low- and middle-income countries.},
}

Humans
*HIV Infections/drug therapy/virology
Adolescent
Female
Cameroon/epidemiology
Male
*Viral Load/drug effects
*Text Messaging
*House Calls
Young Adult
*Medication Adherence
*Anti-HIV Agents/therapeutic use
*Reminder Systems
Peer Group

@article {pmid40120189,
year = {2025},
author = {Sun, Q and Li, D and He, Y and Ping, Q and Wang, L and Li, Y},
title = {Improved anaerobic digestion of waste activated sludge under ammonia stress by nanoscale zero-valent iron/peracetic acid pretreatment and hydrochar regulation: Insights from multi-omics analyses.},
journal = {Water research},
volume = {279},
number = {},
pages = {123497},
doi = {10.1016/j.watres.2025.123497},
pmid = {40120189},
issn = {1879-2448},
mesh = {*Sewage ; *Ammonia ; Anaerobiosis ; Iron/chemistry ; Methane ; *Peracetic Acid/chemistry ; Multiomics ; },
abstract = {This study developed a novel strategy combining a nanoscale zero-valent iron (nZVI)/peracetic acid (PAA) pretreatment and hydrochar regulation to enhance anaerobic digestion of waste activated sludge (WAS) under ammonia-stressed conditions. The strategy significantly enhanced methane production at ammonia concentrations below 3000 mg/L, with the regulation groups (AN3000/REG) achieving a 50.1 % increase in cumulative methane yield. Metagenomic analysis demonstrated a 14.2 % enrichment of key functional microorganisms, including syntrophic fatty acid-oxidizing bacteria and hydrogenotrophic methanogens, in the AN3000/REG groups. Some of them promote the conversion of butyrate and valerate to acetate through the upregulation of key genes in the fatty acid β-oxidation pathway, thereby supplying sufficient substrates for acetoclastic methanogenesis. Beyond enhancing acetoclastic methanogenesis, the AN3000/REG groups exhibited significant upregulation of other metabolic pathways, with a 34.2 % increase in syntrophic acetate oxidation-hydrogenotrophic methanogenesis genes and a 17.1 % increase in methanol/methylotrophic methanogenesis-related genes. These findings were further validated by the metatranscriptomic and metaproteomic combination analyses. Furthermore, the AN3000/REG groups exhibited a significant enhancement in direct interspecies electron transfer, with functional microbes (e.g., Geobacter, Methanosarcina, and Methanobacterium), pili, and cytochrome c showing significant increases of 1.38-fold, 12.7-fold, and 5.6-fold, respectively. This might be due to the synergistic effects of nZVI and hydrochar in the regulation groups. Additionally, metabolomic analyses revealed that the regulation strategy improved the microbial adaptability to ammonia stress by modulating metabolic products, such as alkaloids. Our study not only provides a promising strategy for alleviating ammonia inhibition during the anaerobic digestion of WAS but also provides a strong basis for understanding the underlying mechanism under ammonia-stressed conditions.},
}

*Sewage
*Ammonia
Anaerobiosis
Iron/chemistry
Methane
*Peracetic Acid/chemistry
Multiomics

@article {pmid39871222,
year = {2025},
author = {Diongue, FB and Faye, A and Loucoubar, C and Sougou, NM and Sy, I and Tall, A and Ndiaye, Y and Sarr, SC},
title = {Situational analysis of the quality of maternal, child, and adolescent health data in the health districts of Thiès, Mbour, Kédougou, and Saraya in Senegal.},
journal = {BMC public health},
volume = {25},
number = {1},
pages = {337},
pmid = {39871222},
issn = {1471-2458},
mesh = {Senegal ; Humans ; Adolescent ; Female ; *Data Accuracy ; Child ; *Health Information Systems/standards ; *Child Health/statistics & numerical data ; *Adolescent Health/statistics & numerical data ; Qualitative Research ; Lot Quality Assurance Sampling ; *Maternal Health ; },
abstract = {INTRODUCTION: In Senegal, the Routine Health Information System (RHIS) captures the majority of data from the Ministry of Health and Social Action (MHSA) public structures and very little health data from the private sector and other ministerial departments. Quality data strengthens the validity and reliability of research results. Common areas of data quality include accuracy, completeness, consistency, credibility, and timeliness. The work aims to assess the quality of routine maternal, child, and adolescent health data in Senegal.

MATERIALS AND METHODS: A mixed quantitative and qualitative design was chosen in four health districts, including Thiès, Mbour, Kédougou, and Saraya. The study included functional health structures that produce maternal, child, and adolescent health data. For the quantitative part, a descriptive and analytical study was carried out. Lot Quality Assurance Sampling (LQAS) was used as the sampling method. Data were collected using Performance of Routine Information Systems Management (PRISM) data collection tools and the ODK application and analyzed (univariate and bivariate) using R and Stata with an alpha risk of 5%. The following data quality indicators (accuracy, completeness, and promptness) were estimated. An exploratory case study and purposive sampling supported the qualitative part by implementing individual interviews.

RESULTS: The study showed an accuracy ratio of 1 in the intervention districts, a difference in the control districts, and a disparity in the transmission of guidelines between districts (inter- and intra-region). The average level of completeness was 0.64 (+/- 0.44) for all regions combined, with no significant difference between districts. The promptness rate for Kédougou, Saraya, Thiès, and Mbour districts was 81%, 75.9%, 72.2%, and 86.7%, respectively. Between 40% and 60% of facilities in each district carried out self-assessments. Data collection tools were considered to be numerous. A large number of tools were easy to use. The recording space was appreciated. On the other hand, the length of the forms was little or not appreciated by the providers. Few of the providers in the 4 districts had been trained to record data in DHIS2.

CONCLUSION: Assessment of data quality in the districts studied shows shortcomings in terms of completeness and timeliness. Many factors influence the SMEA data quality situation, including knowledge or application of RHIS policies, standards, and protocols, perception of the importance of RHIS, ease of use of data collection tools, training of providers, and diversity of data production sources.},
}

Senegal
Humans
Adolescent
Female
*Data Accuracy
Child
*Health Information Systems/standards
*Child Health/statistics & numerical data
*Adolescent Health/statistics & numerical data
Qualitative Research
Lot Quality Assurance Sampling
*Maternal Health

@article {pmid40307720,
year = {2025},
author = {Moreau, SJM and Marchal, L and Boulain, H and Musset, K and Labas, V and Tomas, D and Gauthier, J and Drezen, JM},
title = {Multi-omic approach to characterize the venom of the parasitic wasp Cotesia congregata (Hymenoptera: Braconidae).},
journal = {BMC genomics},
volume = {26},
number = {1},
pages = {431},
pmid = {40307720},
issn = {1471-2164},
support = {ANR-12-ADAP-0001//Agence Nationale de la Recherche/ ; ANR-12-ADAP-0001//Agence Nationale de la Recherche/ ; ANR-12-ADAP-0001//Agence Nationale de la Recherche/ ; ANR-12-ADAP-0001//Agence Nationale de la Recherche/ ; ANR-12-ADAP-0001//Agence Nationale de la Recherche/ ; ANR-12-ADAP-0001//Agence Nationale de la Recherche/ ; SMHART project 35069//European Regional Development Fund/ ; SMHART project 35069//European Regional Development Fund/ ; },
mesh = {Animals ; *Wasps/genetics/virology/metabolism ; *Wasp Venoms/genetics/metabolism/chemistry ; Female ; *Proteomics/methods ; Insect Proteins/genetics/metabolism/chemistry ; Multiomics ; },
abstract = {BACKGROUND: Cotesia congregata is a parasitoid Hymenoptera belonging to the Braconidae family and carrying CCBV (Cotesia congregata Bracovirus), an endosymbiotic polydnavirus. CCBV virus is considered as the main virulence factor of this species, which has raised questions, over the past thirty years, about the potential roles of venom in the parasitic interaction between C. congregata and its host, Manduca sexta (Lepidoptera: Sphingidae). To investigate C. congregata venom composition, we identified genes overexpressed in the venom glands (VGs) compared to ovaries, analyzed the protein composition of this fluid and performed a detailed analysis of conserved domains of these proteins.

RESULTS: Of the 14 140 known genes of the C. congregata genome, 659 genes were significantly over-expressed (with 10-fold or higher changes in expression) in the VGs of female C. congregata, compared with the ovaries. We identified 30 proteins whose presence was confirmed in venom extracts by proteomic analyses. Twenty-four of these were produced as precursor molecules containing a predicted signal peptide. Six of the proteins lacked a predicted signal peptide, suggesting that venom production in C. congregata also involves non-canonical secretion mechanisms. We have also analysed 18 additional proteins and peptides of interest whose presence in venom remains uncertain, but which could play a role in VG function.

CONCLUSIONS: Our results show that the venom of C. congregata not only contains proteins (including several enzymes) homologous to well-known venomous compounds, but also original proteins that appear to be specific to this species. This exhaustive study sheds a new light on this venom composition, the molecular diversity of which was unexpected. These data pave the way for targeted functional analyses and to better understand the evolutionary mechanisms that have led to the formation of the venomous arsenals we observe today in parasitoid insects.},
}

Animals
*Wasps/genetics/virology/metabolism
*Wasp Venoms/genetics/metabolism/chemistry
Female
*Proteomics/methods
Insect Proteins/genetics/metabolism/chemistry
Multiomics

@article {pmid39849009,
year = {2025},
author = {Calderón-Osorno, M and Rojas-Villalta, D and Lejzerowicz, F and Cortés, J and Arias-Andres, M and Rojas-Jimenez, K},
title = {The influence of depth on the global deep-sea plasmidome.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {2959},
pmid = {39849009},
issn = {2045-2322},
support = {SIA 0483-21//Universidad Nacional de Costa Rica/ ; C1455//Vicerrectoría de Investigacion de la Universidad Costa Rica/ ; C2650//Vicerrectoría de Investigacion de la Universidad Costa Rica/ ; C3509//Vicerrectoría de Investigacion de la Universidad Costa Rica/ ; },
mesh = {*Plasmids/genetics ; *Metagenome ; *Seawater/microbiology ; Ecosystem ; Gammaproteobacteria/genetics ; Alphaproteobacteria/genetics ; Oceans and Seas ; Bacteria/genetics ; Computational Biology/methods ; Indian Ocean ; },
abstract = {Plasmids play a crucial role in facilitating genetic exchange and enhancing the adaptability of microbial communities. Despite their importance, environmental plasmids remain understudied, particularly those in fragile and underexplored ecosystems such as the deep-sea. In this paper we implemented a bioinformatics pipeline to study the composition, diversity, and functional attributes of plasmid communities (plasmidome) in 81 deep-sea metagenomes from the Tara and Malaspina expeditions, sampled from the Pacific, Atlantic, and Indian Oceans at depths ranging from 270 to 4005 m. We observed an association between depth and plasmid traits, with the 270-1000 m range (mesopelagic samples) exhibiting the highest number of plasmids and the largest plasmid sizes. Plasmids of Alphaproteobacteria and Gammaproteobacteria were predominant across the oceans, particularly in this depth range, which also showed the highest species diversity and abundance of metabolic pathways, including aromatic compound degradation. Surprisingly, relatively few antibiotic resistance genes were found in the deep-sea ecosystem, with most being found in the mesopelagic layer. These included classes such as beta-lactamase, biocide resistance, and aminoglycosides. Our study also identified the MOBP and MOBQ relaxase families as prevalent across various taxonomic classes. This research underscores the importance of studying the plasmidome independently from the chromosomal context. Our limited understanding of the deep-sea's microbial ecology, especially its plasmidome, necessitates caution in human activities like mining. Such activities could have unforeseen impacts on this largely unexplored ecosystem.},
}

*Plasmids/genetics
*Metagenome
*Seawater/microbiology
Ecosystem
Gammaproteobacteria/genetics
Alphaproteobacteria/genetics
Oceans and Seas
Bacteria/genetics
Computational Biology/methods
Indian Ocean

@article {pmid40306212,
year = {2025},
author = {Nica, I and Georgescu, I},
title = {The ecological impact of agricultural production on CO2 emissions in India: Pathways to sustainable agriculture.},
journal = {Journal of environmental management},
volume = {384},
number = {},
pages = {125548},
doi = {10.1016/j.jenvman.2025.125548},
pmid = {40306212},
issn = {1095-8630},
abstract = {This study examines the relationship between CO2 emissions and agricultural production in India from 1990 to 2023, using an Autoregressive Distributed Lag (ARDL) model. Key agricultural indicators analyzed include the Food Production Index (FPI), Cereal Production (CP), Livestock Production Index (LPI), and the value added by Agriculture, Forestry, and Fishing (AFF). The results show that on the long run, a 1 % increase in FPI leads to a 7.86 unit increase in CO2 emissions per capita, while a 1 % increase in livestock production results in a 3.28 unit decrease in CO2 emissions per capita. In the short run, a similar increase in food production and livestock production also influences CO2 emissions, with notable but varying impacts over time. These findings underline the environmental trade-offs between food security and CO2 emissions, emphasizing the need for sustainable agricultural practices. This research contributes to existing literature by utilizing a broad set of agricultural indicators and robust ARDL analysis to examine both short- and long-term effects, providing a more comprehensive understanding of agricultural sustainability. The study was prompted by India's rapid agricultural growth, driven by its growing population and economic expansion, which has raised significant environmental concerns. Unlike prior research that often takes a generalized or global approach, this study offers an India-specific analysis that captures the country's distinct socio-economic and ecological conditions. By focusing on nationally relevant agricultural indicators and sustainability challenges, the research provides context-sensitive insights that can support effective and targeted policy design. The findings highlight the importance of policies that align agricultural productivity with sustainability, supporting the UN Sustainable Development Goals on climate action and food security.},
}

@article {pmid40305182,
year = {2025},
author = {Uemura, NA and Nakane, D},
title = {Type IV Pili in Thermophilic Bacteria: Mechanisms and Ecological Implications.},
journal = {Biomolecules},
volume = {15},
number = {4},
pages = {},
pmid = {40305182},
issn = {2218-273X},
support = {24KJ1131//Japan Society for the Promotion of Science/ ; 21K07020//Japan Society for the Promotion of Science/ ; 22H05066//Japan Society for the Promotion of Science/ ; },
mesh = {*Fimbriae, Bacterial/metabolism/physiology ; *Thermus thermophilus/metabolism/physiology/genetics ; },
abstract = {Type IV pili (T4P) machinery is critical for bacterial surface motility, protein secretion, and DNA uptake. This review highlights the ecological significance of T4P-dependent motility in Thermus thermophilus, a thermophilic bacterium isolated from hot springs. Unlike swimming motility, the T4P machinery enables bacteria to move over two-dimensional surfaces through repeated cycles of extension and retraction of pilus filaments. Notably, T. thermophilus exhibits upstream-directed migration under shear stress, known as rheotaxis, which appears to represent an adaptive strategy unique to thermophilic bacteria thriving in rapid water flows. Furthermore, T4P contributes to the capture of DNA and phages, indicating their multifunctionality in natural environments. Understanding the T4P dynamics provides insights into bacterial survival and evolution in extreme habitats.},
}

*Fimbriae, Bacterial/metabolism/physiology
*Thermus thermophilus/metabolism/physiology/genetics

@article {pmid40303041,
year = {2024},
author = {McDuie, F and T Overton, C and A Lorenz, A and L Matchett, E and L Mott, A and A Mackell, D and T Ackerman, J and De La Cruz, SEW and Patil, VP and Prosser, DJ and Takekawa, JY and Orthmeyer, DL and Pitesky, ME and Díaz-Muñoz, SL and Riggs, BM and Gendreau, J and Reed, ET and Petrie, MJ and Williams, CK and Buler, JJ and Hardy, MJ and Ladman, BS and Legagneux, P and Bêty, J and Thomas, PJ and Rodrigue, J and Lefebvre, J and Casazza, ML},
title = {Mitigating Risk: Predicting H5N1 Avian Influenza Spread with an Empirical Model of Bird Movement.},
journal = {Transboundary and emerging diseases},
volume = {2024},
number = {},
pages = {5525298},
pmid = {40303041},
issn = {1865-1682},
mesh = {Animals ; *Influenza in Birds/epidemiology/virology/transmission/prevention & control ; *Influenza A Virus, H5N1 Subtype/physiology ; *Animal Migration ; Birds ; Geographic Information Systems ; Disease Outbreaks/veterinary ; Animals, Wild ; },
abstract = {Understanding timing and distribution of virus spread is critical to global commercial and wildlife biosecurity management. A highly pathogenic avian influenza virus (HPAIv) global panzootic, affecting ~600 bird and mammal species globally and over 83 million birds across North America (December 2023), poses a serious global threat to animals and public health. We combined a large, long-term waterfowl GPS tracking dataset (16 species) with on-ground disease surveillance data (county-level HPAIv detections) to create a novel empirical model that evaluated spatiotemporal exposure and predicted future spread and potential arrival of HPAIv via GPS tracked migratory waterfowl through 2022. Our model was effective for wild waterfowl, but predictions lagged HPAIv detections in poultry facilities and among some highly impacted nonmigratory species. Our results offer critical advance warning for applied biosecurity management and planning and demonstrate the importance and utility of extensive multispecies tracking to highlight potential high-risk disease spread locations and more effectively manage outbreaks.},
}

Animals
*Influenza in Birds/epidemiology/virology/transmission/prevention & control
*Influenza A Virus, H5N1 Subtype/physiology
*Animal Migration
Birds
Geographic Information Systems
Disease Outbreaks/veterinary
Animals, Wild

@article {pmid39852552,
year = {2025},
author = {Yang, H and Luo, X and Shang, Z and Li, K and Cai, J and Chen, Y and Xin, L and Ju, J},
title = {Metabolic Blockade-Based Genome Mining of Malbranchea circinata SDU050: Discovery of Diverse Secondary Metabolites.},
journal = {Marine drugs},
volume = {23},
number = {1},
pages = {},
pmid = {39852552},
issn = {1660-3397},
support = {U2106207//National Natural Science Foundation of China/ ; 2022YFC2804100//National Key Research and Development Program of China/ ; 22037006//National Natural Science Foundation of China/ ; SYS202205//Shandong Laboratory Program/ ; },
mesh = {*Anti-Bacterial Agents/pharmacology/isolation & purification ; *Secondary Metabolism/genetics ; Multigene Family ; Polyketide Synthases/genetics/metabolism ; Biosynthetic Pathways/genetics ; Methicillin-Resistant Staphylococcus aureus/drug effects ; Genome, Fungal ; Microbial Sensitivity Tests ; Gram-Positive Bacteria/drug effects ; Staphylococcus aureus/drug effects ; Bacillus subtilis/drug effects ; *Ascomycota/genetics/metabolism ; Isocoumarins/pharmacology ; Computational Biology ; Geologic Sediments/microbiology ; },
abstract = {Malbranchea circinata SDU050, a fungus derived from deep-sea sediment, is a prolific producer of diverse secondary metabolites. Genome sequencing revealed the presence of at least 69 biosynthetic gene clusters (BGCs), including 30 encoding type I polyketide synthases (PKSs). This study reports the isolation and identification of four classes of secondary metabolites from wild-type M. circinata SDU050, alongside five additional metabolite classes, including three novel cytochalasins (7-9), obtained from a mutant strain through the metabolic blockade strategy. Furthermore, bioinformatic analysis of the BGC associated with the isocoumarin sclerin (1) enabled the deduction of its biosynthetic pathway based on gene function predictions. Bioactivity assays demonstrated that sclerin (1) and (-)-mycousnine (10) exhibited weak antibacterial activity against Gram-positive bacteria such as Staphylococcus aureus, methicillin-resistant Staphylococcus aureus (MRSA), and Bacillus subtilis. These findings underscore the chemical diversity and biosynthetic potential of M. circinata SDU050 and highlight an effective strategy for exploring marine fungal metabolites.},
}

*Anti-Bacterial Agents/pharmacology/isolation & purification
*Secondary Metabolism/genetics
Multigene Family
Polyketide Synthases/genetics/metabolism
Biosynthetic Pathways/genetics
Methicillin-Resistant Staphylococcus aureus/drug effects
Genome, Fungal
Microbial Sensitivity Tests
Gram-Positive Bacteria/drug effects
Staphylococcus aureus/drug effects
Bacillus subtilis/drug effects
*Ascomycota/genetics/metabolism
Isocoumarins/pharmacology
Computational Biology
Geologic Sediments/microbiology

@article {pmid40303815,
year = {2023},
author = {Wielgus, E and Klamm, A and Conraths, FJ and Dormann, CF and Henrich, M and Kronthaler, F and Heurich, M},
title = {First-Passage Time Analysis Based on GPS Data Offers a New Approach to Estimate Restricted Zones for the Management of Infectious Diseases in Wildlife: A Case Study Using the Example of African Swine Fever.},
journal = {Transboundary and emerging diseases},
volume = {2023},
number = {},
pages = {4024083},
pmid = {40303815},
issn = {1865-1682},
mesh = {Animals ; *African Swine Fever/prevention & control/epidemiology/transmission ; *Geographic Information Systems ; Swine ; Animals, Wild ; *Sus scrofa ; Germany/epidemiology ; Female ; Disease Outbreaks/veterinary/prevention & control ; Male ; African Swine Fever Virus ; },
abstract = {An essential part of any disease containment and eradication policy is the implementation of restricted zones, but determining the appropriate size of these zones can be challenging for managers. We designed a new method, based on animal movement, to help assess how large restricted zones should be after a spontaneous outbreak to successfully control infectious diseases in wildlife. Our approach uses first-passage time (FPT) analysis and Cox proportional hazard (CPH) models to calculate and compare the risk of an animal leaving different-sized areas. We illustrate our approach using the example of the African swine fever (ASF) virus and its wild pig reservoir host species, the wild boar (Sus scrofa), and we investigate the feasibility of applying this method to other systems. Using GPS data from 57 wild boar living in the Hainich National Park, Germany, we calculate the time spent by each individual in areas of different sizes using FPT analysis. We apply CPH models on the derived data to compare the risk of leaving areas of different sizes and to assess the effects of season and the sex of the wild boar on the risk of leaving. We conduct survival analyses to estimate the risk of leaving an area over time. Our results indicate that the risk of leaving an area decreases exponentially by 10% for each 100 m increase in radius size so that the differences were more pronounced for small sizes. Furthermore, the probability of leaving increases exponentially with time. Wild boar had a similar risk of leaving an area of a given size throughout the year, except in spring and winter, when females had a much lower risk of leaving. Our findings are in agreement with the literature on wild boar movement, further validating our method, and repeated analyses with location data resampled at different rates gave similar results. Our results may be applicable only to our study area, but they demonstrate the applicability of the proposed method to any ecosystem where wild boar populations are likely to be infected with ASF and where restricted zones should be established accordingly. The outlined approach relies solely on the analysis of movement data and provides a useful tool to determine the optimal size of restricted zones. It can also be applied to future outbreaks of other diseases.},
}

Animals
*African Swine Fever/prevention & control/epidemiology/transmission
*Geographic Information Systems
Swine
Animals, Wild
*Sus scrofa
Germany/epidemiology
Female
Disease Outbreaks/veterinary/prevention & control
Male
African Swine Fever Virus

@article {pmid40298711,
year = {2025},
author = {Prado, SI and Novais, MAP},
title = {Acute viral bronchiolitis in Brazil: characteristics of length of stay and hospital costs.},
journal = {Ciencia & saude coletiva},
volume = {30},
number = {4},
pages = {e07402023},
doi = {10.1590/1413-81232025304.07402023},
pmid = {40298711},
issn = {1678-4561},
mesh = {Humans ; Brazil ; Infant ; Retrospective Studies ; *Length of Stay/statistics & numerical data/economics ; Acute Disease ; Child, Preschool ; *Hospitalization/economics/statistics & numerical data ; *Bronchiolitis, Viral/economics/therapy/epidemiology ; *Hospital Costs/statistics & numerical data ; Longitudinal Studies ; Male ; Female ; National Health Programs/economics ; },
abstract = {The objective of the study was to evaluate the length of stay in pediatric hospitalizations for acute viral bronchiolitis in the Brazilian Health System (SUS) and the costs of hospitalizations. This was a quantitative, observational, and ecological study, based on a retrospective and longitudinal analysis of data from the Department of Informatics of the Unified Health System (DATASUS; 2012-2021) using descriptive statistics and Tukey's paired test. Regarding the mean value of AIH/HAA Hospital Admission Authorization, among the regions, the high costs of hospitalizations are located more frequent in the Southeast region and the lowest proportion is directed to the corresponds to the North region. In the length of hospital stay among the regions, the shortest mean stay was identified in the Central West region (2.5 days) and the greatest stay in the Northeast region (3.1 days). Considering the age group of one year of life, its representativeness was 57% when compared to the age group of 1-4 years (43%). The fragility of the implementation of primary public policies in the prevention of bronchiolitis contributes to high hospital costs and significant economic impacts on the national healthcare system.},
}

Humans
Brazil
Infant
Retrospective Studies
*Length of Stay/statistics & numerical data/economics
Acute Disease
Child, Preschool
*Hospitalization/economics/statistics & numerical data
*Bronchiolitis, Viral/economics/therapy/epidemiology
*Hospital Costs/statistics & numerical data
Longitudinal Studies
Male
Female
National Health Programs/economics

@article {pmid39969985,
year = {2025},
author = {Zhang, J and Gao, X and Liang, C and Zhang, M and Zhang, S},
title = {Spatiotemporal pattern evolution analysis of ecological networks based on morphological spatial pattern analysis: a case study of Ningbo City, China.},
journal = {Integrated environmental assessment and management},
volume = {21},
number = {3},
pages = {540-554},
doi = {10.1093/inteam/vjaf027},
pmid = {39969985},
issn = {1551-3793},
support = {202148/WT_/Wellcome Trust/United Kingdom ; },
mesh = {China ; *Environmental Monitoring/methods ; Spatio-Temporal Analysis ; *Ecosystem ; Cities ; *Conservation of Natural Resources/methods ; Geographic Information Systems ; Biodiversity ; Urbanization ; },
abstract = {The exponential expansion of urban areas has precipitated a concomitant deterioration in the natural environment. Constructing ecological networks is vital in improving landscape connectivity, protecting biodiversity, and maintaining regional sustainable development. Ningbo, China, was set as the research area. Geographic information system and morphological spatial pattern analysis (MSPA) were used to determine the ecological source area. Subsequently, the corridor design model Linkage Mapper was used to ascertain and assess the linkages between the designated ecological source areas. The results showed that from 2000-2020, there was a large-scale change in land use type in Ningbo, with increasing complexity of patches and landscape fragmentation. The ecological sources of the three periods in Ningbo were primarily situated in the western, southern, and Hangzhou Bay coastal regions, exhibiting an uneven distribution in the eastern and western areas. The number of primary ecological corridors in Ningbo underwent a significant reduction, from 26 to 17, between the years 2000-2020. In terms of the distribution of ecological corridors, the primary corridors were concentrated in the central, southern, and western regions of the study area in 2000. By 2020, however, the primary ecological corridors within the study region were distributed mainly in a southerly direction. The interaction between north and south ecological sources was weakened, which adversely affected the species spread and ecosystem stability. After optimization, 12 ecological corridors and four ecological nodes were incorporated into Ningbo, 67 ecological breakpoints were identified, and four stepping stone patches were added. The study used spatiotemporal change trends, including land use type and landscape pattern, to examine the ecological network of Ningbo. In conclusion, the proposed optimization strategy is aligned with the current urban development context, offering a particularly pertinent reference point for Ningbo's ecological protection initiatives.},
}

China
*Environmental Monitoring/methods
Spatio-Temporal Analysis
*Ecosystem
Cities
*Conservation of Natural Resources/methods
Geographic Information Systems
Biodiversity
Urbanization

@article {pmid40297776,
year = {2025},
author = {Schwarzerova, J and Olesova, D and Jureckova, K and Kvasnicka, A and Kostoval, A and Friedecky, D and Sekora, J and Pomenkova, J and Provaznik, V and Popelinsky, L and Weckwerth, W},
title = {Enhanced metabolomic predictions using concept drift analysis: identification and correction of confounding factors.},
journal = {Bioinformatics advances},
volume = {5},
number = {1},
pages = {vbaf073},
pmid = {40297776},
issn = {2635-0041},
abstract = {MOTIVATION: The increasing use of big data and optimized prediction methods in metabolomics requires techniques aligned with biological assumptions to improve early symptom diagnosis. One major challenge in predictive data analysis is handling confounding factors-variables influencing predictions but not directly included in the analysis.

RESULTS: Detecting and correcting confounding factors enhances prediction accuracy, reducing false negatives that contribute to diagnostic errors. This study reviews concept drift detection methods in metabolomic predictions and selects the most appropriate ones. We introduce a new implementation of concept drift analysis in predictive classifiers using metabolomics data. Known confounding factors were confirmed, validating our approach and aligning it with conventional methods. Additionally, we identified potential confounding factors that may influence biomarker analysis, which could introduce bias and impact model performance.

Based on biological assumptions supported by detected concept drift, these confounding factors were incorporated into correction of prediction algorithms to enhance their accuracy. The proposed methodology has been implemented in Semi-Automated Pipeline using Concept Drift Analysis for improving Metabolomic Predictions (SAPCDAMP), an open-source workflow available at https://github.com/JanaSchwarzerova/SAPCDAMP.},
}

@article {pmid40295976,
year = {2025},
author = {Liberati, F and Pose Marino, TM and Bottoni, P and Canestrelli, D and Castrignanò, T},
title = {HPC-T-Assembly: a pipeline for de novo transcriptome assembly of large multi-specie datasets.},
journal = {BMC bioinformatics},
volume = {26},
number = {1},
pages = {113},
pmid = {40295976},
issn = {1471-2105},
mesh = {*Software ; *Transcriptome ; *Gene Expression Profiling/methods ; Sequence Analysis, RNA/methods ; Computational Biology/methods ; Databases, Genetic ; RNA-Seq/methods ; },
abstract = {BACKGROUND: Recent years have seen a substantial increase in RNA-seq data production, with this technique becoming the primary approach for gene expression studies across a wide range of non-model organisms. The majority of these organisms lack a well-annotated reference genome to serve as a basis for studying differentially expressed genes (DEGs). As an alternative cost-effective protocol to using a reference genome, the assembly of RNA-seq raw reads is performed to produce what is referred to as a 'de novo transcriptome,' serving as a reference for subsequent DEGs' analysis. This assembly step for conventional DEGs analysis pipelines for non-model organisms is a computationally expensive task. Furthermore, the complexity of the de novo transcriptome assembly workflows poses a challenge for researchers in implementing best-practice techniques and the most recent software versions, particularly when applied to various organisms of interest.

RESULTS: To address computational challenges in transcriptomic analyses of non-model organisms, we present HPC-T-Assembly, a tool for de novo transcriptome assembly from RNA-seq data on high-performance computing (HPC) infrastructures. It is designed for straightforward setup via a Web-oriented interface, allowing analysis configuration for several species. Once configuration data is provided, the entire parallel computing software for assembly is automatically generated and can be launched on a supercomputer with a simple command line. Intermediate and final outputs of the assembly pipeline include additional post-processing steps, such as assembly quality control, ORF prediction, and transcript count matrix construction.

CONCLUSION: HPC-T-Assembly allows users, through a user-friendly Web-oriented interface, to configure a run for simultaneous assemblies of RNA-seq data from multiple species. The parallel pipeline, launched on HPC infrastructures, significantly reduces computational load and execution times, enabling large-scale transcriptomic and meta-transcriptomics analysis projects.},
}

*Software
*Transcriptome
*Gene Expression Profiling/methods
Sequence Analysis, RNA/methods
Computational Biology/methods
Databases, Genetic
RNA-Seq/methods

@article {pmid40295704,
year = {2024},
author = {Grunnill, M and Eshaghi, A and Damodaran, L and Nagra, S and Gharouni, A and Braukmann, T and Clark, S and Peci, A and Isabel, S and Banh, P and Plessis, LD and Murall, CL and Colijn, C and Mubareka, S and Hasso, M and Bahl, J and Mostafa, HH and Gubbay, JB and Patel, SN and Wu, J and Duvvuri, VR},
title = {Inferring enterovirus D68 transmission dynamics from the genomic data of two 2022 North American outbreaks.},
journal = {Npj viruses},
volume = {2},
number = {1},
pages = {34},
pmid = {40295704},
issn = {2948-1767},
abstract = {Enterovirus D68 (EV-D68) has emerged as a significant cause of acute respiratory illness in children globally, notably following its extensive outbreak in North America in 2014. A recent outbreak of EV-D68 was observed in Ontario, Canada, from August to October 2022. Our phylogenetic analysis revealed a notable genetic similarity between the Ontario outbreak and a concurrent outbreak in Maryland, USA. Utilizing Bayesian phylodynamic modeling on whole genome sequences (WGS) from both outbreaks, we determined the median peak time-varying reproduction number (Rt) to be 2.70, 95% HPD (1.76, 4.08) in Ontario and 2.10, 95% HPD (1.41, 3.17) in Maryland. The Rt trends in Ontario closely matched those derived via EpiEstim using reported case numbers. Our study also provides new insights into the median infection duration of EV-D68, estimated at 7.94 days, 95% HPD (4.55, 12.8) in Ontario and 10.8 days, 95% HPD (5.85, 18.6) in Maryland, addressing the gap in the existing literature surrounding EV-D68's infection period. We observed that the estimated Time since the Most Recent Common Ancestor (TMRCA) and the epidemic's origin coincided with the easing of COVID-19 related social contact restrictions in both areas. This suggests that the relaxation of non-pharmaceutical interventions, initially implemented to control COVID-19, may have inadvertently facilitated the spread of EV-D68. These findings underscore the effectiveness of phylodynamic methods in public health, demonstrating their broad application from local to global scales and underscoring the critical role of pathogen genomic data in enhancing public health surveillance and outbreak characterization.},
}

@article {pmid40245036,
year = {2025},
author = {Hu, J and Weber, JN and Fuess, LE and Steinel, NC and Bolnick, DI and Wang, M},
title = {A spectral framework to map QTLs affecting joint differential networks of gene co-expression.},
journal = {PLoS computational biology},
volume = {21},
number = {4},
pages = {e1012953},
pmid = {40245036},
issn = {1553-7358},
mesh = {*Quantitative Trait Loci/genetics ; *Gene Regulatory Networks/genetics ; Animals ; Computational Biology/methods ; *Chromosome Mapping/methods ; Phenotype ; Genotype ; Models, Genetic ; Gene Expression Profiling/methods ; },
abstract = {Studying the mechanisms underlying the genotype-phenotype association is crucial in genetics. Gene expression studies have deepened our understanding of the genotype → expression → phenotype mechanisms. However, traditional expression quantitative trait loci (eQTL) methods often overlook the critical role of gene co-expression networks in translating genotype into phenotype. This gap highlights the need for more powerful statistical methods to analyze genotype → network → phenotype mechanism. Here, we develop a network-based method, called spectral network quantitative trait loci analysis (snQTL), to map quantitative trait loci affecting gene co-expression networks. Our approach tests the association between genotypes and joint differential networks of gene co-expression via a tensor-based spectral statistics, thereby overcoming the ubiquitous multiple testing challenges in existing methods. We demonstrate the effectiveness of snQTL in the analysis of three-spined stickleback (Gasterosteus aculeatus) data. Compared to conventional methods, our method snQTL uncovers chromosomal regions affecting gene co-expression networks, including one strong candidate gene that would have been missed by traditional eQTL analyses. Our framework suggests the limitation of current approaches and offers a powerful network-based tool for functional loci discoveries.},
}

*Quantitative Trait Loci/genetics
*Gene Regulatory Networks/genetics
Animals
Computational Biology/methods
*Chromosome Mapping/methods
Phenotype
Genotype
Models, Genetic
Gene Expression Profiling/methods

@article {pmid39808116,
year = {2024},
author = {Zárate, A and Díaz-González, L and Taboada, B},
title = {VirDetect-AI: a residual and convolutional neural network-based metagenomic tool for eukaryotic viral protein identification.},
journal = {Briefings in bioinformatics},
volume = {26},
number = {1},
pages = {},
pmid = {39808116},
issn = {1477-4054},
mesh = {*Metagenomics/methods ; *Neural Networks, Computer ; *Viral Proteins/genetics ; Humans ; *Eukaryota/virology ; *Viruses/genetics ; Genome, Viral ; Artificial Intelligence ; Computational Biology/methods ; Metagenome ; Convolutional Neural Networks ; },
abstract = {This study addresses the challenging task of identifying viruses within metagenomic data, which encompasses a broad array of biological samples, including animal reservoirs, environmental sources, and the human body. Traditional methods for virus identification often face limitations due to the diversity and rapid evolution of viral genomes. In response, recent efforts have focused on leveraging artificial intelligence (AI) techniques to enhance accuracy and efficiency in virus detection. However, existing AI-based approaches are primarily binary classifiers, lacking specificity in identifying viral types and reliant on nucleotide sequences. To address these limitations, VirDetect-AI, a novel tool specifically designed for the identification of eukaryotic viruses within metagenomic datasets, is introduced. The VirDetect-AI model employs a combination of convolutional neural networks and residual neural networks to effectively extract hierarchical features and detailed patterns from complex amino acid genomic data. The results demonstrated that the model has outstanding results in all metrics, with a sensitivity of 0.97, a precision of 0.98, and an F1-score of 0.98. VirDetect-AI improves our comprehension of viral ecology and can accurately classify metagenomic sequences into 980 viral protein classes, hence enabling the identification of new viruses. These classes encompass an extensive array of viral genera and families, as well as protein functions and hosts.},
}

*Metagenomics/methods
*Neural Networks, Computer
*Viral Proteins/genetics
Humans
*Eukaryota/virology
*Viruses/genetics
Genome, Viral
Artificial Intelligence
Computational Biology/methods
Metagenome
Convolutional Neural Networks

@article {pmid40293859,
year = {2025},
author = {Wastler, HM and Cowan, HR and Breitborde, NJK and Tabares, JV and Yu, M and Pan, X and Boettner, B and Browning, C and Bryan, CJ},
title = {Ecological Momentary Assessment of Emotion Regulation and Suicidal Ideation in First-Episode Psychosis.},
journal = {Schizophrenia bulletin},
volume = {},
number = {},
pages = {},
doi = {10.1093/schbul/sbaf042},
pmid = {40293859},
issn = {1745-1701},
support = {YIG-0-184-20//American Foundation for Suicide Prevention/ ; },
abstract = {Individuals with first-episode psychosis (FEP) are at increased risk for suicide, though few studies have examined the extent to which emotion regulation abnormalities contribute to this risk. The current study sought to address this gap by examining which stages of emotion regulation (ie, identification, selection, implementation) are related to suicidal ideation among individuals with FEP. Forty-one participants completed 28 days of ecological momentary assessment to assess suicidal ideation, negative affect, and emotion regulation in real-time. Results indicated that all 3 stages of emotion regulation were related to suicidal ideation in FEP. Specifically, within-person emotion regulation interacted with between-person negative affect to predict concurrent suicidal ideation (identification stage). Additionally, decreased use of adaptive strategies and increased use of maladaptive strategies were associated with more severe suicidal ideation (selection stage). Finally, decreased emotion regulation effectiveness was associated with more severe suicidal ideation (implementation stage). These findings suggest that emotion regulation difficulties might contribute to the high rates of suicide risk among individuals with FEP. Additional research is needed to determine whether these emotion regulation difficulties are unique to FEP or if they also appear in other high-risk groups.},
}

@article {pmid40292360,
year = {2025},
author = {Andersen, ZJ and Badyda, A and Tzivian, L and Dzhambov, AM and Paunovic, K and Savic, S and Jacquemin, B and Dragic, N},
title = {Air pollution inequalities in Europe: A deeper understating of challenges in Eastern Europe and pathways forward towards closing the gap between East and West.},
journal = {Environmental epidemiology (Philadelphia, Pa.)},
volume = {9},
number = {3},
pages = {e383},
pmid = {40292360},
issn = {2474-7882},
}

@article {pmid40292044,
year = {2025},
author = {Edelson, JB and Huang, J and Wang, Z and Tam, V and Lefktowitz, D and O'Connor, MJ and White, R and Ha, L and Wittlieb-Weber, CA and Rossano, JW and Lin, K and Cousino, MK and Lane-Fall, M and O'Byrne, ML},
title = {Identifying the determinants of health-related quality of life in children after heart transplant.},
journal = {JHLT open},
volume = {8},
number = {},
pages = {100250},
pmid = {40292044},
issn = {2950-1334},
abstract = {BACKGROUND: Pediatric heart transplant (PHT) recipients have impaired health-related quality of life (HRQOL) that is not fully explained by cardiac limitations. Environment is known to influence HRQOL in other chronic disease populations but is less understood in PHT. Understanding the determinants of HRQOL is a necessary step in identifying high-risk groups and designing actionable interventions.

METHODS: This cross-sectional study includes 8- to 18-year heart transplant (HT) recipients and their families. Generalized estimating equations were used to evaluate the associations of individual characteristics (diagnosis, pulmonary capillary wedge pressure [PCWP], cardiac index [CI]), microenvironment (parent education level, financial security, parental stress [PSI], assessment of child anxiety) and macroenvironment [Child Opportunity Index (COI)] with HRQOL.

RESULTS: Of 31 participants, 32% self-identified as Black, and 40% had congenital heart disease. On cardiac catheterization, 61% had a CI ≥3 liter/min/m[2] and PCWP ≤10 mm Hg. Most households had ≥1 parent who had completed college (58%); 28% of households expressed difficulty paying bills. The PSI showed elevated parental stress [64.5 (interquartile range [IQR] 52.0, 77.8)], while the COI was low [73.0 (IQR 44.5, 89.0)] as was HRQOL [Pediatric Quality of Life 4.0 Core Scales 71.7 (IQR 64.2-82.5), Pediatric Cardiac Quality of Life Index 61.8 (IQR 55.7-74.8)]. Higher parental stress (p = 0.036), higher parental perception of child anxiety (p = 0.058), lower Max VO2 (p = 0.059), and higher PCWP (p = 0.006) were independently associated with worse quality of life.

CONCLUSIONS: HRQOL in children after heart transplant is reduced and determined not only by traditional measures of cardiovascular function, but also by patient psychology and their household environment, highlighting the utility of using an adapted ecological systems framework to understand HRQOL.},
}

@article {pmid40287834,
year = {2025},
author = {Mohanty, A and Srinivasan, A and Udupaa, P and Catchpoole, D},
title = {Multiomics and tumor banking: comprehensive plaforms- integrating cancer diversity, biomarker discovery and personalised cancer care in India.},
journal = {Human molecular genetics},
volume = {},
number = {},
pages = {},
doi = {10.1093/hmg/ddaf033},
pmid = {40287834},
issn = {1460-2083},
abstract = {Biobanks are innovative biomedical research infrastructures that play a crucial role in advancing cancer research by supporting investigations into the etiology, progression, and therapeutic interventions of the disease. Biobanks have significantly contributed to personalized medicine by providing high-quality bio specimen resources and expertise in tissue handling, essential for understanding the interplay of genetic, ecological, and lifestyle factors on cancer biology, human health, and mortality. By linking bio specimens with clinical, pathological, and epidemiological data, biobanks are central in the discovery and development of cancer therapeutics through biomarkers. In this review, the importance of managing biobanks as integral parts of data generation and analytics continuum driving precision medicine is pointed out. The advent of multi-OMICS analytics, combined with artificial intelligence, systems biology, and deep machine learning, has elevated the importance of bio banking human bio specimens as not only a biological resource but also an informatics asset. Here, we examine the impact of bio banking in facilitating translational, bench-to-bedside cancer research, with a focus on multi-OMICS data-driven biomarker discovery and precision oncology. In addition, we discuss one of the major innovations in biobank management: the hub-and-spoke model. This centralized system leverages core expertise and resources while collecting bio specimens from diverse geographic regions, thereby capturing the heterogeneity of cancer biology. The hub-and-spoke approach is particularly advantageous for countries like India, characterized by vast geographic and demographic diversity. It ensures complete coverage of the different types of cancers, disease stages, and population groups in addressing the complexity and diversity of cancer biology.},
}

@article {pmid39724139,
year = {2024},
author = {Stephens, JL and Fraga, LAO and Ferreira, JA and De Mondesert, L and Kitron, U and Clennon, JA and Fairley, JK},
title = {Spatial associations of Hansen's disease and schistosomiasis in endemic regions of Minas Gerais, Brazil.},
journal = {PLoS neglected tropical diseases},
volume = {18},
number = {12},
pages = {e0012682},
pmid = {39724139},
issn = {1935-2735},
mesh = {Humans ; Brazil/epidemiology ; *Leprosy/epidemiology ; *Endemic Diseases ; Female ; Male ; Spatial Analysis ; Adult ; Incidence ; Adolescent ; Middle Aged ; Young Adult ; Child ; Geographic Information Systems ; Animals ; *Schistosomiasis mansoni/epidemiology ; *Schistosomiasis/epidemiology ; Child, Preschool ; Aged ; },
abstract = {BACKGROUND: Brazil has the second highest case count of Hansen's disease (leprosy, HD), but factors contributing to transmission in highly endemic areas of the country remain unclear. Recent studies have shown associations of helminth infection and leprosy, supporting a biological plausibility for increased leprosy transmission in areas with helminths. However, spatial analyses of the overlap of these infections are limited. Therefore, we aimed to spatially analyze these two diseases in a co-endemic area of Minas Gerais, Brazil, in order to identify potential epidemiologic associations.

METHODS: An ecological study using public health surveillance records and census data was conducted to investigate whether the occurrence of HD -and specifically multibacillary (MB) disease- was associated with the presence of schistosomiasis in a community of 41 municipalities in eastern Minas Gerais, Brazil from 2011 to 2015. Multivariate logistic regression and spatial cluster analyses using geographic information systems (GIS) were performed.

RESULTS: The average annual incidence of HD in the study area was 35.3 per 100,000 while Schistosoma mansoni average annual incidence was 26 per 100,000. Both HD and schistosomiasis were spatially distributed showing significant clustering across the study area. Schistosomiasis was present in 10.4% of the tracts with HD and thirteen high-high clusters of local bivariate autocorrelation for HD and schistosomiasis cases were identified. A multivariate non-spatial analysis found that census tracts with MB disease were more likely to have schistosomiasis when adjusted for population density, household density, and household income (aOR = 1.7, 95% CI 1.0, 2.7). This remained significant when accounting for spatial correlation (aOR = 1.1, 95% CI (1.0, 1.2)).

CONCLUSION: We found clustering of both HD and schistosomiasis in this area with some statistically significant overlap of multibacillary HD with S. mansoni infection. Not only did we provide an effective approach to study the epidemiology of two endemic neglected tropical diseases with geographic spatial analyses, we highlight the need for further clinical and translational studies to study the potential epidemiologic associations uncovered.},
}

Humans
Brazil/epidemiology
*Leprosy/epidemiology
*Endemic Diseases
Female
Male
Spatial Analysis
Adult
Incidence
Adolescent
Middle Aged
Young Adult
Child
Geographic Information Systems
Animals
*Schistosomiasis mansoni/epidemiology
*Schistosomiasis/epidemiology
Child, Preschool
Aged

@article {pmid40287826,
year = {2025},
author = {Gerhardt, K and Ruiz-Perez, CA and Rodriguez-R, LM and Jain, C and Tiedje, JM and Cole, JR and Konstantinidis, KT},
title = {FastAAI: efficient estimation of genome average amino acid identity and phylum-level relationships using tetramers of universal proteins.},
journal = {Nucleic acids research},
volume = {53},
number = {8},
pages = {},
pmid = {40287826},
issn = {1362-4962},
support = {DBI1356288NSF//NSF/ ; },
mesh = {Phylogeny ; *Genome, Bacterial ; *Software ; *Bacteria/genetics/classification ; *Amino Acids/genetics ; *Computational Biology/methods ; },
abstract = {Estimation of whole-genome relatedness and taxonomic identification are two important bioinformatics tasks in describing environmental or clinical microbiomes. The genome-aggregate Average Nucleotide Identity is routinely used to derive the relatedness of closely related (species level) microbial and viral genomes, but it is not appropriate for more divergent genomes. Average Amino-acid Identity (AAI) can be used in the latter cases, but no current AAI implementation can efficiently compare thousands of genomes. Here we present FastAAI, a tool that estimates whole-genome pairwise relatedness using shared tetramers of universal proteins in a matter of microseconds, providing a speedup of up to 5 orders of magnitude when compared with current methods for calculating AAI or alternative whole-genome metrics. Further, FastAAI resolves distantly related genomes related at the phylum level with comparable accuracy to the phylogeny of ribosomal RNA genes, substantially improving on a known limitation of current AAI implementations. Our analysis of the resulting AAI matrices also indicated that bacterial lineages predominantly evolve gradually, rather than showing bursts of diversification, and that AAI thresholds to define classes, orders, and families are generally elusive. Therefore, FastAAI uniquely expands the toolbox for microbiome analysis and allows it to scale to millions of genomes.},
}

Phylogeny
*Genome, Bacterial
*Software
*Bacteria/genetics/classification
*Amino Acids/genetics
*Computational Biology/methods

@article {pmid40287646,
year = {2025},
author = {He, L and Zou, Q and Wang, Y},
title = {metaTP: a meta-transcriptome data analysis pipeline with integrated automated workflows.},
journal = {BMC bioinformatics},
volume = {26},
number = {1},
pages = {111},
pmid = {40287646},
issn = {1471-2105},
support = {62102269//National Natural Science Foundation of China/ ; },
mesh = {Workflow ; *Software ; *Gene Expression Profiling/methods ; *Computational Biology/methods ; *Transcriptome ; Microbiota/genetics ; Humans ; },
abstract = {BACKGROUND: The accessibility of sequencing technologies has enabled meta-transcriptomic studies to provide a deeper understanding of microbial ecology at the transcriptional level. Analyzing omics data involves multiple steps that require the use of various bioinformatics tools. With the increasing availability of public microbiome datasets, conducting meta-analyses can reveal new insights into microbiome activity. However, the reproducibility of data is often compromised due to variations in processing methods for sample omics data. Therefore, it is essential to develop efficient analytical workflows that ensure repeatability, reproducibility, and the traceability of results in microbiome research.

RESULTS: We developed metaTP, a pipeline that integrates bioinformatics tools for analyzing meta-transcriptomic data comprehensively. The pipeline includes quality control, non-coding RNA removal, transcript expression quantification, differential gene expression analysis, functional annotation, and co-expression network analysis. To quantify mRNA expression, we rely on reference indexes built using protein-coding sequences, which help overcome the limitations of database analysis. Additionally, metaTP provides a function for calculating the topological properties of gene co-expression networks, offering an intuitive explanation for correlated gene sets in high-dimensional datasets. The use of metaTP is anticipated to support researchers in addressing microbiota-related biological inquiries and improving the accessibility and interpretation of microbiota RNA-Seq data.

CONCLUSIONS: We have created a conda package to integrate the tools into our pipeline, making it a flexible and versatile tool for handling meta-transcriptomic sequencing data. The metaTP pipeline is freely available at: https://github.com/nanbei45/metaTP .},
}

Workflow
*Software
*Gene Expression Profiling/methods
*Computational Biology/methods
*Transcriptome
Microbiota/genetics
Humans

@article {pmid40286849,
year = {2025},
author = {Bartas, M and Petrovič, M and Brázda, V and Trenz, O and Ďurčanský, A and Štastný, J},
title = {CpX Hunter web tool allows high-throughput identification of CpG, CpA, CpT, and CpC islands: A case study in Drosophila genome.},
journal = {The Journal of biological chemistry},
volume = {},
number = {},
pages = {108537},
doi = {10.1016/j.jbc.2025.108537},
pmid = {40286849},
issn = {1083-351X},
abstract = {With continuous advances in DNA sequencing methods, accessibility to high-quality genomic information for all living organisms is ever increasing. However, to interpret this information effectively and formulate hypotheses, users often require higher level programming skills. Therefore, the generation of web-based tools is becoming increasingly popular. CpG island regions in genomes are often found in gene promoters and are prone to DNA methylation; with their methylation status determining if a gene is expressed. Notably, understanding the biological impact of CpX modifications on genomic regulation is becoming increasingly important as these modifications have been associated with diseases such as cancer and neurodegeneration. However, there is currently no easy-to-use scalable tool to detect and quantify CpX islands in full genomes. We have developed a Java-based web server for CpX island analyses that benefits from the DNA Analyzer Web server environment and overcomes several limitations. For a pilot demonstration study, we selected a well-described model organism Drosophila melanogaster. Subsequent analysis of obtained CpX islands revealed several interesting and previously undescribed phenomena. One of them is the fact, that nearly half of long CpG islands were located on chromosome X, and that long CpA and CpT islands were significantly overrepresented at the subcentromeric regions of autosomes (chr2 and chr3) and also on chromosome Y. Wide genome overlays of predicted CpX islands revealed their co-occurrence with various (epi)genomics features comprising cytosine methylations, accessible chromatin, transposable elements, or binding of transcription factors and other proteins. CpX Hunter is freely available as a web tool at: https://bioinformatics.ibp.cz/#/analyse/cpg.},
}

@article {pmid40286830,
year = {2025},
author = {Yu, X and Yao, R and Yao, R and Jin, X and Huang, J and Liang, Q and Jin, LN and Sun, J},
title = {Mechanistic understanding of the toxic effects of tri-n-butyl phosphate (TnBP) and tricresyl phosphate (TCP) to Escherichia coli: Evidence from alterations in biomarker expression and perturbations of the metabolic network.},
journal = {Comparative biochemistry and physiology. Toxicology & pharmacology : CBP},
volume = {},
number = {},
pages = {110211},
doi = {10.1016/j.cbpc.2025.110211},
pmid = {40286830},
issn = {1532-0456},
abstract = {Tri-n-butyl phosphate (TnBP) and tricresyl phosphate (TCP), emerging flame retardants and plasticizers, have garnered increasing attention due to their potential risks to ecosystem. A few researches regarding the toxicological mechanisms of TnBP and TCP had been performed, while molecular-level toxic effects of them and metabolic response using microbial models are the lack of relevant investigation. Thus, we investigated the cytotoxicity, oxidative stress response, and metabolic response in E. coli exposed to TnBP and TCP. Exposure to them significantly increased the activities of antioxidant enzymes, indicating activation of the antioxidant defense system. Excessive accumulation of reactive oxygen species (ROS) triggered various biological events, including a reduction in membrane potential (MP), decrease of adenosine triphosphatase (ATPase) activity, and increased malondialdehyde (MDA) content. These findings suggested that oxidative damage compromised membrane proteins function, membrane stability, and intracellular homeostasis. GC-MS and LC-MS-based metabolomics analyses revealed that TnBP and TCP strongly disrupted multiple metabolic pathways, including carbohydrate metabolism, nucleotide metabolism, lipid metabolism, beta-alanine metabolism, pyruvate metabolism and oxidative phosphorylation. These disruptions highlighted the inhibitory effects on molecular functions and metabolic processes. Notably, lipids biomarkers e.g., PC(11:0/16:0), PA(17:1(9Z)/18:2(9Z,12Z)), PE(17:0/14:1(9Z)), and LysoPE(0:0/18:1(11Z)) were significantly altered, verifying that the regulation of lipid-associated metabolite synthesis plays a protective role in maintaining cellular membrane function. In summary, this study enhances our understanding of TnBP and TCP toxicity in E. coli, providing novel insights into their toxicological mechanisms at molecular and network levels. These findings underscore the ecological risks posed by organophosphate flame retardants in aquatic ecosystem.},
}

@article {pmid38163964,
year = {2025},
author = {Bhardwaj, N and S, S and Tripathi, N and Kumar, S and Lal, UR and G, R and Guru, SK and Jain, SK},
title = {Mahamanalactone A, a new triterpenoid from Dysoxylum malabaricum bark: a case study for rapid identification of new metabolites via LC-HRMS profiling and database mining strategy.},
journal = {Natural product research},
volume = {39},
number = {9},
pages = {2438-2443},
doi = {10.1080/14786419.2023.2298721},
pmid = {38163964},
issn = {1478-6427},
mesh = {Humans ; *Triterpenes/chemistry/isolation & purification/pharmacology ; *Plant Bark/chemistry ; Cell Line, Tumor ; *Antineoplastic Agents, Phytogenic/chemistry/pharmacology/isolation & purification ; Chromatography, Liquid ; Molecular Structure ; Mass Spectrometry ; *Meliaceae/chemistry ; Data Mining ; Plant Extracts/chemistry ; },
abstract = {In this recent investigation, the focus centred on exploring the potential phytoconstituents within the bark of Dysoxylum malabaricum. A profiling strategy employing LC-HRMS (Liquid Chromatography-High Resolution Mass Spectrometry) was implemented for the rapid identification of compounds from the bark extract. The crude extract underwent fractionation, resulting in the isolation of four previously known compounds (1-4) and a novel cycloartane triterpenoid named Mahamanalactone A (5). Compound 5 represents a cycloartane triterpenoid with a modified ring-A, featuring £-caprolactone fusion at positions 4 and 5, distinguishing it from other reported compounds where £-caprolactone is typically fused at positions 3 and 4. Cytotoxicity assessment revealed that the newly identified compound 5 exhibited a moderate cytotoxic profile (IC50 29 to 78 µM) against a panel of cancer cell lines.},
}

Humans
*Triterpenes/chemistry/isolation & purification/pharmacology
*Plant Bark/chemistry
Cell Line, Tumor
*Antineoplastic Agents, Phytogenic/chemistry/pharmacology/isolation & purification
Chromatography, Liquid
Molecular Structure
Mass Spectrometry
*Meliaceae/chemistry
Data Mining
Plant Extracts/chemistry

@article {pmid40284070,
year = {2025},
author = {Lu, F and Yi, B and Qin, K and Bu, ZJ},
title = {Long-Term Nitrogen Addition Eliminates the Cooling Effect on Climate in a Temperate Peatland.},
journal = {Plants (Basel, Switzerland)},
volume = {14},
number = {8},
pages = {},
pmid = {40284070},
issn = {2223-7747},
support = {U23A2003//National Natural Science Foundation of China/ ; 42407354//National Natural Science Foundation of China/ ; 42371050//National Natural Science Foundation of China/ ; 20210402032GH//Jilin Provincial Science and Technology Development Pro-ject/ ; 20230203002SF//Jilin Provincial Science and Technology Development Pro-ject/ ; JP230021//Fundamental Research Funds for the Central Universities/ ; },
abstract = {Peatlands play a crucial role in global carbon (C) sequestration, but their response to long-term nitrogen (N) deposition remains uncertain. This study investigates the effects of 12 years of simulated N addition on CO2 and CH4 fluxes in a temperate peatland through in situ monitoring. The results demonstrate that long-term N addition significantly reduces net ecosystem exchange (NEE), shifting the peatland from a C sink to a C source. This transition is primarily driven by a decline in aboveground plant productivity, as Sphagnum mosses were suppressed and even experienced mortality, while graminoid plants thrived under elevated N conditions. Although graminoid cover increased, it did not compensate for the GPP loss caused by Sphagnum decline. Instead, it further increased CH4 emissions. These findings suggest that sustained N input may diminish the C sequestration function of peatlands, significantly weakening their global cooling effect.},
}

@article {pmid40278529,
year = {2025},
author = {Fabio, RA and Semino, M and Perina, M and Martini, M and Riccio, E and Pili, G and Pani, D and Chessa, M},
title = {Virtual Reality as a Tool for Upper Limb Rehabilitation in Rett Syndrome: Reducing Stereotypies and Improving Motor Skills.},
journal = {Pediatric reports},
volume = {17},
number = {2},
pages = {},
pmid = {40278529},
issn = {2036-749X},
abstract = {BACKGROUND/OBJECTIVES: Rett Syndrome (RTT) is a rare neurodevelopmental disorder that causes the loss of motor, communicative, and cognitive skills. While no cure exists, rehabilitation plays a crucial role in improving quality of life. Virtual Reality (VR) has shown promise in enhancing motor function and reducing stereotypic behaviors in RTT. This study aims to assess the impact of VR training on upper limb motor skills in RTT patients, focusing on reaching and hand-opening tasks, as well as examining its role in motivation and engagement during rehabilitation.

METHODS: Twenty RTT patients (aged 5-33) were randomly assigned to an experimental group (VR training) and a control group (standard rehabilitation). Pre- and post-tests evaluated motor skills and motivation in both VR and real-world contexts. The VR training involved 40 sessions over 8 weeks, focusing on fine motor tasks. Non-parametric statistical methods were used to analyze the data.

RESULTS: Results indicated significant improvements in the experimental group for motor parameters, including reduced stereotypy intensity and frequency, faster response times, and increased correct performance. These improvements were consistent across VR and ecological conditions. Moreover, attention time increased, while the number of aids required decreased, highlighting enhanced engagement and independence. However, motivation levels remained stable throughout the sessions.

CONCLUSIONS: This study demonstrates the potential of VR as a tool for RTT rehabilitation, addressing both motor and engagement challenges. Future research should explore the customization of VR environments to maximize the generalization of skills and sustain motivation over extended training periods.},
}

@article {pmid40277515,
year = {2025},
author = {Kargarandehkordi, A and Li, S and Lin, K and Phillips, KT and Benzo, RM and Washington, P},
title = {Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review.},
journal = {Biosensors},
volume = {15},
number = {4},
pages = {},
pmid = {40277515},
issn = {2079-6374},
support = {MedRes_2023_00002689//Hawai'i Community Foundation/ ; 2406251//U.S. National Science Foundation/ ; 1U54GM138062-02A1/NH/NIH HHS/United States ; U54 GM138062/GM/NIGMS NIH HHS/United States ; U54GM138062/GM/NIGMS NIH HHS/United States ; },
mesh = {*Wearable Electronic Devices ; *Biosensing Techniques ; Humans ; *Artificial Intelligence ; *Mental Health ; Monitoring, Physiologic ; Heart Rate ; },
abstract = {The development of digital instruments for mental health monitoring using biosensor data from wearable devices can enable remote, longitudinal, and objective quantitative benchmarks. To survey developments and trends in this field, we conducted a systematic review of artificial intelligence (AI) models using data from wearable biosensors to predict mental health conditions and symptoms. Following PRISMA guidelines, we identified 48 studies using a variety of wearable and smartphone biosensors including heart rate, heart rate variability (HRV), electrodermal activity/galvanic skin response (EDA/GSR), and digital proxies for biosignals such as accelerometry, location, audio, and usage metadata. We observed several technical and methodological challenges across studies in this field, including lack of ecological validity, data heterogeneity, small sample sizes, and battery drainage issues. We outline several corresponding opportunities for advancement in the field of AI-driven biosensing for mental health.},
}

*Wearable Electronic Devices
*Biosensing Techniques
Humans
*Artificial Intelligence
*Mental Health
Monitoring, Physiologic
Heart Rate

@article {pmid40276974,
year = {2025},
author = {Blin, K and Shaw, S and Vader, L and Szenei, J and Reitz, ZL and Augustijn, HE and Cediel-Becerra, JDD and de Crécy-Lagard, V and Koetsier, RA and Williams, SE and Cruz-Morales, P and Wongwas, S and Segurado Luchsinger, AE and Biermann, F and Korenskaia, A and Zdouc, MM and Meijer, D and Terlouw, BR and van der Hooft, JJJ and Ziemert, N and Helfrich, EJN and Masschelein, J and Corre, C and Chevrette, MG and van Wezel, GP and Medema, MH and Weber, T},
title = {antiSMASH 8.0: extended gene cluster detection capabilities and analyses of chemistry, enzymology, and regulation.},
journal = {Nucleic acids research},
volume = {},
number = {},
pages = {},
doi = {10.1093/nar/gkaf334},
pmid = {40276974},
issn = {1362-4962},
support = {NNF20CC0035580//Novo Nordisk Foundation/ ; //Microbial Secondary Metabolites/ ; DNRF137//Danish National Research Foundation/ ; MSC 101072485//Horizon Europe Programme/ ; 101000392//Horizon 2020/ ; KICH1.LWV04.21.013//NWO/ ; 101055020//ERC/ ; RM1GM145426/NH/NIH HHS/United States ; TTU09.716//German Center for Infection Research/ ; //The Royal Thai Government/ ; 504947087//German Research Foundation/ ; //Hessian Ministry for Science and the Arts/ ; //Translational Biodiversity Genomics/ ; I008520N//FWO/ ; },
abstract = {Microorganisms synthesize small bioactive compounds through their secondary or specialized metabolism. Those compounds play an important role in microbial interactions and soil health, but are also crucial for the development of pharmaceuticals or agrochemicals. Over the past decades, advancements in genome sequencing have enabled the identification of large numbers of biosynthetic gene clusters directly from microbial genomes. Since its inception in 2011, antiSMASH (https://antismash.secondarymetabolites.org/), has become the leading tool for detecting and characterizing these gene clusters in bacteria and fungi. This paper introduces version 8 of antiSMASH, which has increased the number of detectable cluster types from 81 to 101, and has improved analysis support for terpenoids and tailoring enzymes, as well as improvements in the analysis of modular enzymes like polyketide synthases and nonribosomal peptide synthetases. These modifications keep antiSMASH up-to-date with developments in the field and extend its overall predictive capabilities for natural product genome mining.},
}

@article {pmid40275196,
year = {2025},
author = {Li, Q},
title = {Assessing and adjusting for bias in ecological analysis using multiple sample datasets.},
journal = {BMC medical research methodology},
volume = {25},
number = {1},
pages = {112},
pmid = {40275196},
issn = {1471-2288},
mesh = {Humans ; Bias ; Kenya ; *Ecology/methods ; *Datasets as Topic ; Health Surveys ; Models, Statistical ; Data Interpretation, Statistical ; Computer Simulation ; },
abstract = {BACKGROUND: Ecological analysis utilizes group-level aggregate measures to investigate the complex relationships between individuals or groups and their environment. Despite its extensive applications across various disciplines, this approach remains susceptible to several biases, including ecological fallacy.

METHODS: Our study identified another significant source of bias in ecological analysis when using multiple sample datasets, a common practice in fields such as public health and medical research. We show this bias is proportional to the sampling fraction used during data collection. We propose two adjustment methods to address this bias: one that directly accounts for the sampling fraction and another based on measurement error models. The effectiveness of these adjustments is evaluated through formal mathematical derivations, simulations, and empirical analysis using data from the 2014 Kenya Demographic and Health Survey.

RESULTS: Our findings reveal that the sampling fraction bias can lead to significant underestimation of true relationships when using aggregate measures from multiple sample datasets. Both adjustment methods effectively mitigate this bias, with the measurement-error-adjusted estimator showing particular robustness in real-world applications. The results highlight the importance of accounting for sampling fraction bias in ecological analyses to ensure accurate inference.

CONCLUSION: Beyond the ecological fallacy uncovered by Robinson's seminar work, our research identified another critical bias in ecological analysis that is likely just as prevalent and consequential. The proposed adjustment methods provide potential tools for researchers to adjust for this bias, thereby improving the validity of ecological inferences. This study underscores the need for caution when pooling aggregate measures from multiple sample datasets and offers potential solutions to enhance the reliability of ecological analyses in various research domains.

CLINICAL TRIAL NUMBER: Not applicable.},
}

Humans
Bias
Kenya
*Ecology/methods
*Datasets as Topic
Health Surveys
Models, Statistical
Data Interpretation, Statistical
Computer Simulation

@article {pmid40275133,
year = {2025},
author = {Antala, M and Kovar, M and Sporinová, L and Filacek, A and Juszczak, R and Zivcak, M and Shomali, A and Prasad, R and Brestic, M and Rastogi, A},
title = {Correction: High-throughput phenotyping of buckwheat (Fagopyrum esculentum Moench.) genotypes under water stress: exploring drought resistance for sustainable agriculture.},
journal = {BMC plant biology},
volume = {25},
number = {1},
pages = {517},
doi = {10.1186/s12870-025-06560-4},
pmid = {40275133},
issn = {1471-2229},
}

@article {pmid40273274,
year = {2025},
author = {Chen, N},
title = {The impact of the rural digital economy on China's new-type urbanization.},
journal = {PloS one},
volume = {20},
number = {4},
pages = {e0321663},
doi = {10.1371/journal.pone.0321663},
pmid = {40273274},
issn = {1932-6203},
mesh = {China ; *Urbanization/trends ; *Rural Population ; Humans ; *Economic Development/trends ; Agriculture ; },
abstract = {The Chinese government is vigorously implementing the rural revitalization strategy and accelerating the process of new-type urbanization. The rapid development of the rural digital economy has emerged as a new driving force for new-type urbanization. This study aims to explore how the rural digital economy impacts China's new-type urbanization from direct, heterogeneous, and indirect perspectives. Using the provincial-level panel data in China from 2014 to 2022, a mixed-methods approach is employed for the empirical research. The CRITIC and Entropy TOPSIS are used to assess the comprehensive development level and temporal characteristics of the rural digital economy and new-type urbanization. Moreover, a global-local auto-correlation analysis is carried out to depict the spatial distribution of the two variables. Subsequently, a two-way fixed effects model is constructed to verify the direct impact of the rural digital economy on new-type urbanization, as well as its structural and spatial heterogeneity characteristics. Finally, an mediating effect model is established to explore the impact paths through which the rural digital economy impacts new-type urbanization. The results show that the rural digital economy has significantly promoted new-type urbanization. Specifically, rural digital infrastructure, digital transformation of agriculture, agricultural production service informatization have a significant positive effect, while the role of rural life digitization is not significant. The rural digital economy has more significant positive impact on population agglomeration and economic growth, followed by social public service, but has no significant impact on ecological environmental protection and urban-rural coordination. Additionally, the qualitative analysis identifies geographical region, poverty, demographic structure and social equality as notable influencing factors in this impact. Further mechanism analysis result indicates that the rural digital economy impacts new-type urbanization through rural human capital improvement, agricultural economic growth and rural industrial structure upgrading. This research contributes to the existing body of knowledge by providing the practical path of rural development to promote new-type urbanization in the context of the digital economy, also clarifies the weak points and key links in this process. It also highlights the need for further research into the institutional factors that influence this relationship to enhances the policy applicability.},
}

China
*Urbanization/trends
*Rural Population
Humans
*Economic Development/trends
Agriculture

@article {pmid39475336,
year = {2025},
author = {Menssen, M and Dammann, M and Fneish, F and Ellenberger, D and Schaarschmidt, F},
title = {Prediction Intervals for Overdispersed Poisson Data and Their Application in Medical and Pre-Clinical Quality Control.},
journal = {Pharmaceutical statistics},
volume = {24},
number = {2},
pages = {e2447},
pmid = {39475336},
issn = {1539-1612},
mesh = {Humans ; *Quality Control ; Poisson Distribution ; Monte Carlo Method ; Algorithms ; Computer Simulation ; Models, Statistical ; Multiple Sclerosis ; Data Interpretation, Statistical ; },
abstract = {In pre-clinical and medical quality control, it is of interest to assess the stability of the process under monitoring or to validate a current observation using historical control data. Classically, this is done by the application of historical control limits (HCL) graphically displayed in control charts. In many applications, HCL are applied to count data, for example, the number of revertant colonies (Ames assay) or the number of relapses per multiple sclerosis patient. Count data may be overdispersed, can be heavily right-skewed and clusters may differ in cluster size or other baseline quantities (e.g., number of petri dishes per control group or different length of monitoring times per patient). Based on the quasi-Poisson assumption or the negative-binomial distribution, we propose prediction intervals for overdispersed count data to be used as HCL. Variable baseline quantities are accounted for by offsets. Furthermore, we provide a bootstrap calibration algorithm that accounts for the skewed distribution and achieves equal tail probabilities. Comprehensive Monte-Carlo simulations assessing the coverage probabilities of eight different methods for HCL calculation reveal, that the bootstrap calibrated prediction intervals control the type-1-error best. Heuristics traditionally used in control charts (e.g., the limits in Shewhart c- or u-charts or the mean ± 2 SD) fail to control a pre-specified coverage probability. The application of HCL is demonstrated based on data from the Ames assay and for numbers of relapses of multiple sclerosis patients. The proposed prediction intervals and the algorithm for bootstrap calibration are publicly available via the R package predint.},
}

Humans
*Quality Control
Poisson Distribution
Monte Carlo Method
Algorithms
Computer Simulation
Models, Statistical
Multiple Sclerosis
Data Interpretation, Statistical

@article {pmid40273037,
year = {2025},
author = {Wu, KC and Belza, B and Berry, D and Lewis, F and Zaslavsky, O and Hartzler, A},
title = {UTI risk factors in older people living with dementia: A conceptual framework and a scoping review.},
journal = {Dementia (London, England)},
volume = {},
number = {},
pages = {14713012251326129},
doi = {10.1177/14713012251326129},
pmid = {40273037},
issn = {1741-2684},
abstract = {Background and Aims: UTIs greatly impact hospitalization rates for people living with dementia. This study aims to craft a framework through a scoping review, assessing UTI symptoms, risk factors, and non-pharmacological prevention strategies in older people living with dementia. Research Design and Methods: Our scoping review followed PRISMA-ScR guidelines, exploring databases (PubMed, CINAHL, Embase, Web of Science) for topics like geriatric care, urinary tract issues published from January 1977 to April 2023. Two reviewers assessed data, organizing it using the Social-Ecological Model to construct the UTI Prevention (UTIP) framework. Results: The literature review scrutinized 1394 articles, selecting 14 through rigorous evaluation. It detailed demographic characteristics, synthesized UTI symptoms, 14 risk factors, and seven outcomes for older people living with dementia. Moreover, it outlined ten preventive domains and proposed a comprehensive UTI Prevention (UTIP) framework spanning individual, relational, community, and societal levels. This framework aims to prevent UTIs among older people living with dementia, integrating risk factors and outcomes to bolster effective prevention strategies for this population. Discussion and Implications: The review introduced a UTIP framework, and non-pharmacological preventive measures tailored for elderly people living with dementia. However, some factors in the framework require further validation to strengthen their associations with outcomes. Preventive measures from studies had limitations like small sample sizes, bias risks, and inconsistent findings. Future research should prioritize robust randomized trials with strong statistical power, strict criteria, and consistent individual-level interventions to boost outcome reliability and validity. Such efforts will enhance the credibility of findings and contribute significantly to refining preventive strategies for this vulnerable population.},
}

@article {pmid40266389,
year = {2025},
author = {Xinyi, B and Qingbiao, G and Songbo, W and Jin, L and Jiren, X},
title = {Identifying the spatio-temporal evolution and driving mechanisms of ecosystem service value in high groundwater table coal mining areas.},
journal = {Environmental monitoring and assessment},
volume = {197},
number = {5},
pages = {581},
pmid = {40266389},
issn = {1573-2959},
support = {No. 2024cx2152//the Graduate Innovation Fund Project of Anhui University of Science and Technology/ ; 2024cxcysj094//the Provincial graduate student innovation and entrepreneurship practice project/ ; NO. KSXTJC202401//Engineering Research Center of Mining Area Environmental And Disaster Cooperative Monitoring (Anhui University of Science and Technology)/ ; No. 52274164//the Natural Science Foundation of China/ ; No. 2308085Y31//the Anhui Provincial Natural Science Foundation/ ; No. 2022QNRC001//the Young Elite Scientists Sponsorship Program by CAST/ ; No. GJNY-21-41-15//the Open Fund of State Key Laboratory of Water Resource Protection and Utilization in Coal Mining/ ; },
mesh = {*Coal Mining ; *Environmental Monitoring ; *Ecosystem ; *Groundwater/chemistry ; *Conservation of Natural Resources/methods ; Spatio-Temporal Analysis ; China ; },
abstract = {In coal mining areas with high groundwater tables, surface subsidence has emerged as a non-negligible phenomenon, stemming from long-term coal mining activities. Employing the Huainan mining area as an exemplar, this research meticulously examines the temporal and spatial attributes of ecosystem service value (ESV) across distinct timeframes of 2005, 2010, 2015, and 2020, utilizing the refined equivalent factor approach in conjunction with spatial analysis methodologies. To delve into the primary forces driving the observed changes, the optimal parameter-based geographical detector (OPGD) model is subsequently utilized as a tool for analysis. Lastly, the study delves into the trade-offs and synergies existing between four exemplary services at the grid level, utilizing Spearman correlation coefficient and bivariate spatial autocorrelation. The findings suggest that: (1) From 2005 to 2020, the total ESV in the Huainan mining area demonstrated a general increasing tendency, primarily attributed to the increase in waters. (2) Throughout the research period, the ecosystem service functions in the coal mining area all exhibited relatively significant hydrological regulation and waste treatment capabilities. (3) Vegetation factors significantly influenced the ESV in the Huainan mining area. (4) The Huainan mining area predominantly exhibited synergistic effects among ecosystem services, with the most pronounced synergy occurring between cultural services (CS) and regulating services (RS). All services were transitioning towards an enhanced trend of synergistic effects. (5) Significant spatial variations are present in the observed trade-offs and synergies among diverse ecosystem services. The aforementioned research findings will provide scientific theoretical guidance for rational mining activities and ecological environmental governance in coal mining areas.},
}

*Coal Mining
*Environmental Monitoring
*Ecosystem
*Groundwater/chemistry
*Conservation of Natural Resources/methods
Spatio-Temporal Analysis
China

@article {pmid40263346,
year = {2025},
author = {Yamamoto, PK and Takasuka, K and Mori, M and Masuda, T and Kono, N},
title = {Non-invasive molecular species identification using spider silk proteomics.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {13844},
pmid = {40263346},
issn = {2045-2322},
support = {23K21203//Japan Society for the Promotion of Science/ ; },
mesh = {Animals ; *Spiders/genetics/classification/metabolism ; *Proteomics/methods ; *Silk/chemistry/genetics/metabolism ; Species Specificity ; Amino Acid Sequence ; Computational Biology/methods ; DNA Barcoding, Taxonomic/methods ; },
abstract = {Accurate species identification is essential in biology, ecology, medicine, and agriculture, yet traditional methods relying on morphological characteristics often fail due to phenotypic plasticity and cryptic species. These limitations are particularly pronounced in small organisms with minimal distinguishing features. DNA barcoding has become a popular alternative; however, it requires invasive tissue sampling, making it unsuitable for delicate or rare organisms like insects and spiders. To address this challenge, we propose a non-invasive molecular method using proteomic analysis focused on species-specific protein sequences in spider silk, offering a viable solution for species identification without harming specimens. We developed a universal silk-dissolving method, followed by sequence similarity analysis to classify species into those identifiable at the species level and those distinguishable only to a group of closely related species. A bioinformatics pipeline was established to analyze peptide sequences, achieving 96% accuracy across 15 spider species, even in the presence of contaminants. This technique complements DNA barcoding and can be extended to other organisms producing biological materials. It holds promise in pest management, medical diagnostics, and improving public health by enabling accurate species identification without invasive procedures.},
}

Animals
*Spiders/genetics/classification/metabolism
*Proteomics/methods
*Silk/chemistry/genetics/metabolism
Species Specificity
Amino Acid Sequence
Computational Biology/methods
DNA Barcoding, Taxonomic/methods

@article {pmid40259303,
year = {2025},
author = {Yano, KM and Zucchi, P and Novais, MAP},
title = {Psychiatric hospitalizations in the Unified Health System: an observational study on hospitalization rates from 2012 to 2023.},
journal = {BMC public health},
volume = {25},
number = {1},
pages = {1463},
pmid = {40259303},
issn = {1471-2458},
support = {2022/10716-2//São Paulo State Research Foundation (FAPESP)/ ; },
mesh = {Humans ; *Hospitalization/trends/statistics & numerical data ; Brazil/epidemiology ; Female ; Male ; Adult ; Middle Aged ; Adolescent ; *Mental Disorders/therapy/epidemiology ; Aged ; Young Adult ; Aged, 80 and over ; Child ; Infant ; Child, Preschool ; *National Health Programs/statistics & numerical data ; Infant, Newborn ; },
abstract = {BACKGROUND: Psychiatric care in Brazil is based on the National Mental Health Policy and is aligned with the guidelines of the Brazilian Unified Health System. It is based on the preeminence of care in the extra-hospital context over the hospital context. Hospital admissions should occur solely when extra-hospital resources prove insufficient for the proper management of the mental health condition.

METHOD: It refers to a time series investigation of a descriptive, ecological, and observational nature. We used publicly available hospital admissions data from the Brazilian Unified Health System's Department of Informatics. The study looked at information on diseases in ICD-10 group V that affected both men and women aged 0 to 80 or older, from 2012 to 2023. The information was analyzed using the statistical software SPSS 20.0, as well as Jointpoint, through permutation tests, with the aim of evaluating the temporal trend of hospitalization and mortality rates. The joinpoint regression model used a log-linear method to set up a series of connected lines on a logarithmic scale and the Monte Carlo permutation method to figure out the direction or statistical significance. A significance level of 5% was established for the execution of all statistical tests.

RESULTS: Overall, a trend of reduction in psychiatric hospitalization rates was observed. However, these trends exhibited fluctuations when analyzed in isolation with respect to the type of disorder, gender, and age group. In contrast to the general trend, the number of hospitalizations for affective disorders and disorders linked to stress and somatization went up. This was especially true between 2021 and 2023, when the number of hospitalizations for other disorders went down more significantly. The predominance of hospitalizations in the male gender was significant. However, the trends of decrease were less pronounced in the male group, especially regarding hospitalizations associated with alcohol and other substance use, which draws attention to the hospitalization rates of the female sex. As it relates to dementias, the national picture shows that hospitalizations are going down, and most of the patients are women and older adults or people who are very old. However, an analysis of the state scenario showed that hospitalizations went up for adults, more than for the elderly combined, with more men than women.

CONCLUSION: the results achieved in this research confirm the findings, both nationally and internationally. Studies have shown that investments made through the National Mental Health Policy and the effects of Covid-19 led to a drop in the number of people admitted to psychiatric hospitals. This was because of the restructuring of the care model, which meant that hospitalizations had to be prioritized to meet the needs of Covid-19, which hurt people with mental disorders.},
}

Humans
*Hospitalization/trends/statistics & numerical data
Brazil/epidemiology
Female
Male
Adult
Middle Aged
Adolescent
*Mental Disorders/therapy/epidemiology
Aged
Young Adult
Aged, 80 and over
Child
Infant
Child, Preschool
*National Health Programs/statistics & numerical data
Infant, Newborn

@article {pmid40208899,
year = {2025},
author = {Minier, L and Rouch, J and Sabbagh, B and Bertucci, F and Parmentier, E and Lecchini, D and Sèbe, F and Mathevon, N and Emonet, R},
title = {Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software.},
journal = {PLoS computational biology},
volume = {21},
number = {4},
pages = {e1012050},
doi = {10.1371/journal.pcbi.1012050},
pmid = {40208899},
issn = {1553-7358},
mesh = {*Coral Reefs ; *Software ; Animals ; Acoustics ; Anthozoa/physiology ; Sound ; Machine Learning ; Computational Biology ; Polynesia ; Ecosystem ; *Environmental Monitoring/methods ; },
abstract = {Despite hosting some of the highest concentrations of biodiversity and providing invaluable goods and services in the oceans, coral reefs are under threat from global change and other local human impacts. Changes in living ecosystems often induce changes in their acoustic characteristics, but despite recent efforts in passive acoustic monitoring of coral reefs, rapid measurement and identification of changes in their soundscapes remains a challenge. Here we present the new open-source software CoralSoundExplorer, which is designed to study and monitor coral reef soundscapes. CoralSoundExplorer uses machine learning approaches and is designed to eliminate the need to extract conventional acoustic indices. To demonstrate CoralSoundExplorer's functionalities, we use and analyze a set of recordings from three coral reef sites, each with different purposes (undisturbed site, tourist site and boat site), located on the island of Bora-Bora in French Polynesia. We explain the CoralSoundExplorer analysis workflow, from raw sounds to ecological results, detailing and justifying each processing step. We detail the software settings, the graphical representations used for visual exploration of soundscapes and their temporal dynamics, along with the analysis methods and metrics proposed. We demonstrate that CoralSoundExplorer is a powerful tool for identifying disturbances affecting coral reef soundscapes, combining visualizations of the spatio-temporal distribution of sound recordings with new quantification methods to characterize soundscapes at different temporal scales.},
}

*Coral Reefs
*Software
Animals
Acoustics
Anthozoa/physiology
Sound
Machine Learning
Computational Biology
Polynesia
Ecosystem
*Environmental Monitoring/methods

@article {pmid40173380,
year = {2025},
author = {Zagorščak, M and Abdelhakim, L and Rodriguez-Granados, NY and Široká, J and Ghatak, A and Bleker, C and Blejec, A and Zrimec, J and Novák, O and Pěnčík, A and Baebler, Š and Perez Borroto, L and Schuy, C and Županič, A and Afjehi-Sadat, L and Wurzinger, B and Weckwerth, W and Pompe Novak, M and Knight, MR and Strnad, M and Bachem, C and Chaturvedi, P and Sonnewald, S and Sasidharan, R and Panzarová, K and Gruden, K and Teige, M},
title = {Integration of multi-omics data and deep phenotyping provides insights into responses to single and combined abiotic stress in potato.},
journal = {Plant physiology},
volume = {197},
number = {4},
pages = {},
doi = {10.1093/plphys/kiaf126},
pmid = {40173380},
issn = {1532-2548},
support = {//H2020-SFS-2019-2/ ; P4-0165//Slovenian Research Agency/ ; //Ministry of Education, Youth and Sports of the Czech Republic/ ; CZ.02.1.01/0.0/0.0/16_026/0008446//European Regional Development Fund-Project/ ; },
mesh = {*Solanum tuberosum/physiology/genetics/metabolism ; *Stress, Physiological/genetics ; Phenotype ; Droughts ; Proteomics ; Metabolomics ; Gene Expression Regulation, Plant ; Transcriptome ; Plant Leaves/physiology ; Plant Tubers ; Multiomics ; },
abstract = {Potato (Solanum tuberosum) is highly water and space efficient but susceptible to abiotic stresses such as heat, drought, and flooding, which are severely exacerbated by climate change. Our understanding of crop acclimation to abiotic stress, however, remains limited. Here, we present a comprehensive molecular and physiological high-throughput profiling of potato (Solanum tuberosum, cv. Désirée) under heat, drought, and waterlogging applied as single stresses or in combinations designed to mimic realistic future scenarios. Stress responses were monitored via daily phenotyping and multi-omics analyses of leaf samples comprising proteomics, targeted transcriptomics, metabolomics, and hormonomics at several timepoints during and after stress treatments. Additionally, critical metabolites of tuber samples were analyzed at the end of the stress period. We performed integrative multi-omics data analysis using a bioinformatic pipeline that we established based on machine learning and knowledge networks. Waterlogging produced the most immediate and dramatic effects on potato plants, interestingly activating ABA responses similar to drought stress. In addition, we observed distinct stress signatures at multiple molecular levels in response to heat or drought and to a combination of both. In response to all treatments, we found a downregulation of photosynthesis at different molecular levels, an accumulation of minor amino acids, and diverse stress-induced hormones. Our integrative multi-omics analysis provides global insights into plant stress responses, facilitating improved breeding strategies toward climate-adapted potato varieties.},
}

*Solanum tuberosum/physiology/genetics/metabolism
*Stress, Physiological/genetics
Phenotype
Droughts
Proteomics
Metabolomics
Gene Expression Regulation, Plant
Transcriptome
Plant Leaves/physiology
Plant Tubers
Multiomics

@article {pmid40253432,
year = {2025},
author = {Kelliher, JM and Aljumaah, M and Bordenstein, SR and Brister, JR and Chain, PSG and Dundore-Arias, JP and Emerson, JB and Fernandes, VMC and Flores, R and Gonzalez, A and Hansen, ZA and Hatcher, EL and Jackson, SA and Kellogg, CA and Madupu, R and Miller, CML and Mirzayi, C and Moustafa, AM and Mungall, C and Oliver, A and Pariente, N and Pett-Ridge, J and Record, S and Reji, L and Reysenbach, AL and Rich, VI and Richardson, L and Schriml, LM and Shabman, RS and Sierra, MA and Sullivan, MB and Sundaramurthy, P and Thibault, KM and Thompson, LR and Tighe, S and Vereen, E and Eloe-Fadrosh, EA},
title = {Microbiome data management in action workshop: Atlanta, GA, USA, June 12-13, 2024.},
journal = {Environmental microbiome},
volume = {20},
number = {1},
pages = {40},
pmid = {40253432},
issn = {2524-6372},
support = {2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; 2422717//Directorate for Biological Sciences/ ; },
abstract = {Microbiome research is revolutionizing human and environmental health, but the value and reuse of microbiome data are significantly hampered by the limited development and adoption of data standards. While several ongoing efforts are aimed at improving microbiome data management, significant gaps still remain in terms of defining and promoting adoption of consensus standards for these datasets. The Strengthening the Organization and Reporting of Microbiome Studies (STORMS) guidelines for human microbiome research have been endorsed and successfully utilized by many research organizations, publishers, and funding agencies, and have been recognized as a consensus community standard. No equivalent effort has occurred for environmental, synthetic, and non-human host-associated microbiomes. To address this growing need within the microbiome research community, we convened the Microbiome Data Management in Action Workshop (June 12-13, 2024, in Atlanta, GA, USA), to bring together key decision makers in microbiome science including researchers, publishers, funders, and data repositories. The 50 attendees, representing the diverse and interdisciplinary nature of microbiome research, discussed recent progress and challenges, and brainstormed actionable recommendations and paths forward for coordinated environmental microbiome data management and the modifications necessary for the STORMS guidelines to be applied to environmental, non-human host, and synthetic microbiomes. The outcomes of this workshop will form the basis of a formalized data management roadmap to be implemented across the field. These best practices will drive scientific innovation now and in years to come as these data continue to be used not only in targeted reanalyses but in large-scale models and machine learning efforts.},
}

@article {pmid40249863,
year = {2025},
author = {Wu, Q and Cheng, S and Zhang, W and Zhao, J and Zhang, L and Lv, M and Ma, J and Ding, J and Wang, S and Zheng, X and Gao, J and Liu, R and Yin, Y and Shi, J and Qu, G and Jiang, G},
title = {Heterogeneous Single-Cell Distribution of Trace-Level Metal Mixtures in Tetrahymena thermophila Using Mass Cytometry.},
journal = {Environmental science & technology},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.est.4c12818},
pmid = {40249863},
issn = {1520-5851},
abstract = {The uptake of heavy metals by unicellular organisms can lead to the bioaccumulation of these metals in higher organisms, detrimentally affecting organismal health and ultimately impacts the ecosystems. By studying the uptake and accumulation of heavy metals in unicellular organisms, we gain insights into potential risks associated with low-dose heavy metal exposure in aquatic environments. Thus, to investigate the accumulation characteristics of Mo, Ag, Cd, Sn, Sb, Hg, Tl, and Pb mixtures in single Tetrahymena thermophila cells, we developed a label-free approach for the simultaneous absolute quantification of multiple metals in a single cell using mass cytometry. Our results demonstrated the dynamic changes in metal concentrations in T. thermophila, and the competition between metals in uptake and excretory pathways resulted in heterogeneous accumulation and bioconcentration of these metals. Additionally, our findings revealed the limited capacity of T. thermophila to excrete Cd and Hg, suggesting a higher risk for T. thermophila cells when exposed to Cd and Hg over an extended period. Therefore, the current study provides valuable data for a more comprehensive understanding of the impact of low-dose heavy metals on aquatic ecosystems.},
}

@article {pmid40188731,
year = {2025},
author = {Li, Y and Huang, S and Jiang, S and Yang, L and Huang, J and Yang, Q and Jiang, Z and Shi, J and Ma, Z and Li, E and Zhou, F},
title = {Multi-omics insights into antioxidant and immune responses in Penaeus monodon under ammonia-N, low salinity, and combined stress.},
journal = {Ecotoxicology and environmental safety},
volume = {295},
number = {},
pages = {118156},
doi = {10.1016/j.ecoenv.2025.118156},
pmid = {40188731},
issn = {1090-2414},
mesh = {Animals ; *Penaeidae/immunology/physiology/drug effects ; *Ammonia/toxicity ; Salinity ; *Antioxidants/metabolism ; *Water Pollutants, Chemical/toxicity ; Oxidative Stress ; Gastrointestinal Microbiome/drug effects ; Metabolomics ; Stress, Physiological ; Transcriptome ; Nitrogen/toxicity ; Multiomics ; },
abstract = {Ammonia nitrogen and salinity are critical environmental factors that significantly impact marine organisms and present substantial threats to Penaeus monodon species within aquaculture systems. This study utilized a comprehensive multi-omics approach, encompassing transcriptomics, metabolomics, and gut microbiome analysis, to systematically examine the biological responses of shrimp subjected to low salinity, ammonia nitrogen stress, and their combined conditions. Metabolomic analysis demonstrated that exposure to ammonia nitrogen stress markedly influenced the concentrations of antioxidant-related metabolites, such as glutathione, suggesting that shrimp mitigate oxidative stress by augmenting their antioxidant capacity. The transcriptomic analysis revealed an upregulation of genes linked to energy metabolism and immune responses and antioxidant enzymes. Concurrently, gut microbiome analysis demonstrated that ammonia nitrogen stress resulted in a marked increase in Vibrio populations and a significant decrease in Photobacterium, indicating that alterations in microbial community structure are intricately associated with the shrimp stress response. A comprehensive analysis further indicated that the combined stressors of ammonia nitrogen and salinity exert a synergistic effect on the immune function and physiological homeostasis of shrimp by modulating antioxidant metabolic pathways and gut microbial communities. These findings provide critical systematic data for elucidating the mechanisms through which ammonia nitrogen and salinity influence marine ecosystems, offering substantial implications for environmental protection and ecological management.},
}

Animals
*Penaeidae/immunology/physiology/drug effects
*Ammonia/toxicity
Salinity
*Antioxidants/metabolism
*Water Pollutants, Chemical/toxicity
Oxidative Stress
Gastrointestinal Microbiome/drug effects
Metabolomics
Stress, Physiological
Transcriptome
Nitrogen/toxicity
Multiomics

@article {pmid40248649,
year = {2025},
author = {Boyes, D and Januszczak, I and , and , and , and , and , and , and , and , and Mitchell, R},
title = {The genome sequence of the Warted Knot-Horn moth, Acrobasis repandana Fabricius, 1798.},
journal = {Wellcome open research},
volume = {10},
number = {},
pages = {50},
pmid = {40248649},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual female specimen of Acrobasis repandana (Warted Knot-Horn moth; Arthropoda; Insecta; Lepidoptera; Pyralidae). The genome sequence has a total length of 620.40 megabases. Most of the assembly (99.78%) is scaffolded into 32 chromosomal pseudomolecules, including the Z and W sex chromosomes. The mitochondrial genome has also been assembled and is 15.21 kilobases in length. Gene annotation of this assembly on Ensembl identified 11,522 protein-coding genes.},
}

@article {pmid40247661,
year = {2025},
author = {Abraham, AJ and Duvall, ES and Doughty, CE and Riond, B and Ortmann, S and Terranova, M and le Roux, E and Clauss, M},
title = {Sodium Retention in Large Herbivores: Physiological Insights and Zoogeochemical Consequences.},
journal = {Journal of experimental zoology. Part A, Ecological and integrative physiology},
volume = {},
number = {},
pages = {},
doi = {10.1002/jez.2924},
pmid = {40247661},
issn = {2471-5646},
support = {//A.J.A. acknowledges Horizon Europe Marie Skłodowska-Curie Actions Grant Agreement No. 101062339./ ; },
abstract = {The assimilation, retention, and release of nutrients by animals fundamentally shapes their physiology and contributions to ecological processes (e.g., zoogeochemistry). Yet, information on the transit of nutrients through the bodies of large mammals remains scarce. Here, we examined how sodium (Na), a key element for animal health and ecosystem functioning, travels differently through fecal and urinary systems of cows (Bos taurus) and horses (Equus ferus caballus). We provided a large dose of Na and compared its timing of release in feces and urine to that of nonabsorbable markers. Na excretion by urine occurred approximately twice as fast as excretion by feces, yet both were shorter than indigestible particle markers. These differences correspond to rapid absorption of Na in the upper gastrointestinal tract and transport by blood to the kidneys (urine Na excretion) or resecretion of Na into the lower intestinal tract (fecal Na excretion). Interestingly, for cows, we found a second peak of Na excretion in urine and feces > 96 h after dosage. This result may indicate that surplus Na can be rapidly absorbed and stored in specific body cells (e.g., skin), from which it is later released. Using a propagule dispersal model, we found that the distance of cattle- and horse-driven nutrient dispersal by urine was 31% and 36% less than the fecal pathway and 60% and 41% less than the particle marker pathway, which is commonly used to estimate nutrient dispersal. Future physiological and zoogeochemical studies should resolve different pathways of nutrient retention and release from large mammals.},
}

@article {pmid40247093,
year = {2025},
author = {Yang, J and Chen, YN and Fang, CY and Li, Y and Ke, HQ and Guo, RQ and Xiang, P and Xiao, YL and Zhang, LW and Liu, H},
title = {Investigating immune cell infiltration and gene expression features in pterygium pathogenesis.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {13352},
pmid = {40247093},
issn = {2045-2322},
support = {ZKF2024042//National clinical key specialty ophthalmology open foundation/ ; ZKF2024041//National clinical key specialty ophthalmology open foundation/ ; 202208535051//China Scholarship Council/ ; 81860171//National Natural Science Foundation of China/ ; 82460201//National Natural Science Foundation of China/ ; 202205AC160016//Yunnan Young and middle-aged Academic and technical leader Project/ ; L2019029//Yunnan Provincial Health Committee Training program for leading medical talents/ ; YDYXJJ2024-0003//Yunnan University Medical Research Foundation/ ; },
mesh = {Humans ; *Pterygium/genetics/immunology/pathology ; Gene Expression Profiling ; Computational Biology/methods ; Conjunctiva/pathology/metabolism/immunology ; Transcriptome ; *Gene Expression Regulation ; Biomarkers/metabolism ; },
abstract = {Pterygium is a prevalent ocular disease characterized by abnormal conjunctival tissue proliferation, significantly impacting patients' quality of life. However, the underlying molecular mechanisms driving pterygium pathogenesis remain inadequately understood. This study aimed to investigate gene expression changes following pterygium excision and their association with immune cell infiltration. Clinical samples of pterygium and adjacent relaxed conjunctival tissue were collected for transcriptomic analysis using RNA sequencing combined with bioinformatics approaches. Machine learning algorithms, including LASSO, SVM-RFE, and Random Forest, were employed to identify potential diagnostic biomarkers. GO, KEGG, GSEA, and GSVA were utilized for enrichment analysis. Single-sample GSEA was employed to analyze immune infiltration. The GSE2513 and GSE51995 datasets from the GEO database, along with clinical samples, were selected for validation analysis. Differentially expressed genes (DEGs) were identified from the PRJNA1147595 and GSE2513 datasets, revealing 2437 DEGs and 172 differentially regulated genes (DRGs), respectively. There were 52 co-DEGs shared by both datasets, and four candidate biomarkers (FN1, SPRR1B, SERPINB13, EGR2) with potential diagnostic value were identified through machine learning algorithms. Single-sample GSEA demonstrated increased Th2 cell infiltration and decreased CD8 + T cell presence in pterygium tissues, suggesting a crucial role of the immune microenvironment in pterygium pathogenesis. Analysis of the GSE51995 dataset and qPCR results revealed significantly higher expression levels of FN1 and SPRR1B in pterygium tissues compared to conjunctival tissues, but SERPINB13 and EGR2 expression levels were not statistically significant. Furthermore, we identified four candidate drugs targeting the two feature genes FN1 and SPRR1B. This study provides valuable insights into the molecular characteristics and immune microenvironment of pterygium. The identification of potential biomarkers FN1 and SPRR1B highlights their significance in pterygium pathogenesis and lays a foundation for further exploration aimed at integrating these findings into clinical practice.},
}

Humans
*Pterygium/genetics/immunology/pathology
Gene Expression Profiling
Computational Biology/methods
Conjunctiva/pathology/metabolism/immunology
Transcriptome
*Gene Expression Regulation
Biomarkers/metabolism

@article {pmid40163742,
year = {2025},
author = {Ghassemi Nedjad, C and Bolteau, M and Bourneuf, L and Paulevé, L and Frioux, C},
title = {Seed2LP: seed inference in metabolic networks for reverse ecology applications.},
journal = {Bioinformatics (Oxford, England)},
volume = {41},
number = {4},
pages = {},
doi = {10.1093/bioinformatics/btaf140},
pmid = {40163742},
issn = {1367-4811},
support = {//French National Research Agency/ ; },
mesh = {*Metabolic Networks and Pathways ; *Software ; *Computational Biology/methods ; Models, Biological ; Algorithms ; },
abstract = {MOTIVATION: A challenging problem in microbiology is to determine nutritional requirements of microorganisms and culture them, especially for the microbial dark matter detected solely with culture-independent methods. The latter foster an increasing amount of genomic sequences that can be explored with reverse ecology approaches to raise hypotheses on the corresponding populations. Building upon genome-scale metabolic networks (GSMNs) obtained from genome annotations, metabolic models predict contextualized phenotypes using nutrient information.

RESULTS: We developed the tool Seed2LP, addressing the inverse problem of predicting source nutrients, or seeds, from a GSMN and a metabolic objective. The originality of Seed2LP is its hybrid model, combining a scalable and discrete Boolean approximation of metabolic activity, with the numerically accurate flux balance analysis (FBA). Seed inference is highly customizable, with multiple search and solving modes, exploring the search space of external and internal metabolites combinations. Application to a benchmark of 107 curated GSMNs highlights the usefulness of a logic modelling method over a graph-based approach to predict seeds, and the relevance of hybrid solving to satisfy FBA constraints. Focusing on the dependency between metabolism and environment, Seed2LP is a computational support contributing to address the multifactorial challenge of culturing possibly uncultured microorganisms.

Seed2LP is available on https://github.com/bioasp/seed2lp.},
}

*Metabolic Networks and Pathways
*Software
*Computational Biology/methods
Models, Biological
Algorithms

@article {pmid40246854,
year = {2025},
author = {He, B and Zhang, H and Qin, T and Shi, B and Wang, Q and Dong, W},
title = {A simultaneous EEG and eye-tracking dataset for remote sensing object detection.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {651},
pmid = {40246854},
issn = {2052-4463},
support = {42230103//National Science Foundation of China | Key Programme/ ; },
mesh = {*Electroencephalography ; Humans ; *Eye-Tracking Technology ; *Remote Sensing Technology ; Artificial Intelligence ; },
abstract = {We introduce the EEGET-RSOD, a simultaneous electroencephalography (EEG) and eye-tracking dataset for remote sensing object detection. This dataset contains EEG and eye-tracking data when 38 remote sensing experts located specific objects in 1,000 remote sensing images within a limited time frame. This task reflects the typical cognitive processes associated with human visual search and object identification in remote sensing imagery. To our knowledge, EEGET-RSOD is the first publicly available dataset to offer synchronized eye-tracking and EEG data for remote sensing images. This dataset will not only advance the study of human visual cognition in real-world environment, but also bridge the gap between human cognition and artificial intelligence, enhancing the interpretability and reliability of AI models in geospatial applications.},
}

*Electroencephalography
Humans
*Eye-Tracking Technology
*Remote Sensing Technology
Artificial Intelligence

@article {pmid40245396,
year = {2025},
author = {Melia, R and Musacchio Schafer, K and Rogers, ML and Wilson-Lemoine, E and Joiner, TE},
title = {The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review.},
journal = {Journal of medical Internet research},
volume = {27},
number = {},
pages = {e63192},
doi = {10.2196/63192},
pmid = {40245396},
issn = {1438-8871},
mesh = {Humans ; *Ecological Momentary Assessment ; *Artificial Intelligence ; *Suicide ; *Suicidal Ideation ; },
abstract = {BACKGROUND: Ecological momentary assessment (EMA) captures dynamic processes suitable to the study of suicidal ideation and behaviors. Artificial intelligence (AI) has increasingly been applied to EMA data in the study of suicidal processes.

OBJECTIVE: This review aims to (1) synthesize empirical research applying AI strategies to EMA data in the study of suicidal ideation and behaviors; (2) identify methodologies and data collection procedures used, suicide outcomes studied, AI applied, and results reported; and (3) develop a standardized reporting framework for researchers applying AI to EMA data in the future.

METHODS: PsycINFO, PubMed, Scopus, and Embase were searched for published articles applying AI to EMA data in the investigation of suicide outcomes. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were used to identify studies while minimizing bias. Quality appraisal was performed using CREMAS (adapted STROBE [Strengthening the Reporting of Observational Studies in Epidemiology] Checklist for Reporting Ecological Momentary Assessment Studies).

RESULTS: In total, 1201 records were identified across databases. After a full-text review, 12 (1%) articles, comprising 4398 participants, were included. In the application of AI to EMA data to predict suicidal ideation, studies reported mean area under the curve (0.74-0.86), sensitivity (0.64-0.81), specificity (0.73-0.86), and positive predictive values (0.72-0.77). Studies met between 4 and 13 of the 16 recommended CREMAS reporting standards, with an average of 7 items met across studies. Studies performed poorly in reporting EMA training procedures and treatment of missing data.

CONCLUSIONS: Findings indicate the promise of AI applied to self-report EMA in the prediction of near-term suicidal ideation. The application of AI to EMA data within suicide research is a burgeoning area hampered by variations in data collection and reporting procedures. The development of an adapted reporting framework by the research team aims to address this.

TRIAL REGISTRATION: Open Science Framework (OSF); https://doi.org/10.17605/OSF.IO/NZWUJ and PROSPERO CRD42023440218; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023440218.},
}

Humans
*Ecological Momentary Assessment
*Artificial Intelligence
*Suicide
*Suicidal Ideation

@article {pmid40240877,
year = {2025},
author = {Li, W and Chu, C and Zhang, T and Sun, H and Wang, S and Liu, Z and Wang, Z and Li, H and Li, Y and Zhang, X and Geng, Z and Wang, Y and Li, Y and Zhang, H and Fan, W and Wang, Y and Xu, X and Cheng, L and Zhang, D and Xiong, Y and Li, H and Zhou, B and Guan, Q and Deng, CH and Han, Y and Ma, H and Han, Z},
title = {Pan-genome analysis reveals the evolution and diversity of Malus.},
journal = {Nature genetics},
volume = {},
number = {},
pages = {},
pmid = {40240877},
issn = {1546-1718},
support = {CARS-27//Earmarked Fund for China Agriculture Research System/ ; 32172522//National Natural Science Foundation of China (National Science Foundation of China)/ ; 32422077//National Natural Science Foundation of China (National Science Foundation of China)/ ; 2019M661344//China Postdoctoral Science Foundation/ ; },
abstract = {Malus Mill., a genus of temperate perennial trees with great agricultural and ecological value, has diversified through hybridization, polyploidy and environmental adaptation. Limited genomic resources for wild Malus species have hindered the understanding of their evolutionary history and genetic diversity. We sequenced and assembled 30 high-quality Malus genomes, representing 20 diploids and 10 polyploids across major evolutionary lineages and geographical regions. Phylogenomic analyses revealed ancient gene duplications and conversions, while six newly defined genome types, including an ancestral type shared by polyploid species, facilitated the detection of strong signals for extensive introgressions. The graph-based pan-genome captured shared and species-specific structural variations, facilitating the development of a molecular marker for apple scab resistance. Our pipeline for analyzing selective sweep identified a mutation in MdMYB5 having reduced cold and disease resistance during domestication. This study advances Malus genomics, uncovering genetic diversity and evolutionary insights while enhancing breeding for desirable traits.},
}

@article {pmid40179878,
year = {2025},
author = {Li, Y and Liu, X and Guo, L and Han, K and Fang, S and Wan, X and Wang, D and Xu, X and Jiang, L and Fan, G and Xu, M},
title = {SpaGRN: Investigating spatially informed regulatory paths for spatially resolved transcriptomics data.},
journal = {Cell systems},
volume = {16},
number = {4},
pages = {101243},
doi = {10.1016/j.cels.2025.101243},
pmid = {40179878},
issn = {2405-4720},
mesh = {Animals ; *Transcriptome/genetics ; *Gene Expression Profiling/methods ; Humans ; *Gene Regulatory Networks/genetics ; Drosophila/genetics ; Computational Biology/methods ; },
abstract = {Cells spatially organize into distinct cell types or functional domains through localized gene regulatory networks. However, current spatially resolved transcriptomics analyses fail to integrate spatial constraints and proximal cell influences, limiting the mechanistic understanding of tissue organization. Here, we introduce SpaGRN, a statistical framework that reconstructs cell-type- or functional-domain-specific, dynamic, and spatial regulons by coupling intracellular spatial regulatory causality with extracellular signaling path information. Benchmarking across synthetic and real datasets demonstrates SpaGRN's superior precision over state-of-the-art tools in identifying context-dependent regulons. Applied to diverse spatially resolved transcriptomics platforms (Stereo-seq, STARmap, MERFISH, CosMx, Slide-seq, and 10x Visium), complex cancerous samples, and 3D datasets of developing Drosophila embryos and larvae, SpaGRN not only provides a versatile toolkit for decoding receptor-mediated spatial regulons but also reveals spatiotemporal regulatory mechanisms underlying organogenesis and inflammation.},
}

Animals
*Transcriptome/genetics
*Gene Expression Profiling/methods
Humans
*Gene Regulatory Networks/genetics
Drosophila/genetics
Computational Biology/methods

@article {pmid40238767,
year = {2025},
author = {Rodrigues, RDS and Cionek, VM and Barreto, AS and Branco, JO},
title = {Seabird strandings on the Brazilian coast: What influences spatial and temporal patterns?.},
journal = {PloS one},
volume = {20},
number = {4},
pages = {e0317335},
doi = {10.1371/journal.pone.0317335},
pmid = {40238767},
issn = {1932-6203},
mesh = {Animals ; Brazil ; *Animal Migration/physiology ; *Birds/physiology ; Seasons ; Spatio-Temporal Analysis ; Ecosystem ; Biodiversity ; },
abstract = {Seabirds exhibit physiological adaptations that allow them to forage in the marine environment and undertake long-distance migrations during non-reproductive periods. As a result, they face various natural and anthropogenic pressures, which can lead to extreme fatigue and even death. Stranded bodies that float in the sea can wash ashore, providing valuable ecological information. This study aimed to analyze seabird strandings along the south and southeast coasts of Brazil between 2016 and 2019, focusing on spatiotemporal and potential environmental and anthropogenic influences. Using data from the Santos Basin Beach Monitoring Project, we calculated ecological indices of abundance, richness, and diversity for the entire seabird community and separately by migratory behavior (resident, southern migratory, northern migratory). Statistical modeling revealed a strong decreasing trend in strandings from south to north, with higher events on the southern coast (Santa Catarina and Paraná) and lower on the southeast coast (São Paulo). Resident species and northern migratory species showed peak strandings in spring, while southern migratory peaked in winter. These spatial and temporal patterns reflected birds' home ranges, reproductive cycles, and migratory behaviors. Environmental variables influenced strandings differently depending on species migration behavior and ecological indices, highlighting the role of oceanographic processes in carcass drift and the impact of climatic events on species mortality. This study is the first to demonstrate a spatiotemporal pattern of seabird strandings on the Brazilian coast, providing valuable insights into seabird dynamics in the Santos Basin and offering important data for conservation efforts.},
}

Animals
Brazil
*Animal Migration/physiology
*Birds/physiology
Seasons
Spatio-Temporal Analysis
Ecosystem
Biodiversity

@article {pmid40238239,
year = {2025},
author = {Sutori, S and Eliasson, ET and Mura, F and Ortiz, V and Catrambonephd, V and Hadlaczky, G and Todorov, I and Alfeo, AL and Cardi, V and Cimino, MGCA and Mioni, G and Raya, MA and Valenza, G and Carli, V and Gentili, C},
title = {Acceptability, Usability, and Insights Into Cybersickness Levels of a Novel Virtual Reality Environment for the Evaluation of Depressive Symptoms: Exploratory Observational Study.},
journal = {JMIR formative research},
volume = {9},
number = {},
pages = {e68132},
doi = {10.2196/68132},
pmid = {40238239},
issn = {2561-326X},
mesh = {Humans ; *Virtual Reality ; Male ; Female ; Adult ; *Depression/diagnosis/psychology ; Young Adult ; Italy ; Surveys and Questionnaires ; User-Computer Interface ; Pilot Projects ; Self Report ; },
abstract = {BACKGROUND: There is a clear need for enhanced mental health assessment, depressive symptom (DS) evaluation being no exception. A promising approach to this aim is using virtual reality (VR), which entails the potential of adding a wider set of assessment domains with enhanced ecological validity. However, whilst several studies have used VR for both diagnostic and treatment purposes, its acceptance, in particular how exposure to virtual environments affects populations with psychiatric conditions remains unknown.

OBJECTIVE: This study aims to report on the acceptability, usability, and cybersickness levels of a pilot VR environment designed for the purpose of differentiating between individuals with DSs.

METHODS: The exploratory study, conducted in Italy, included 50 healthy controls and 50 young adults with mild-to-moderate DSs (without the need for a formal diagnosis). The study used an observational design with approximately 30 minutes of VR exposure followed by a self-report questionnaire battery. The battery included a questionnaire based on the Theoretical Framework of Acceptability, the System Usability Scale as well as the Simulator Sickness Questionnaire.

RESULTS: Results indicate that the majority found VR acceptable for the purposes of mental health screening and treatment. However, for diagnostics, there was a clear preference for VR to be used by mental health professionals as a supplementary tool, as opposed to a stand-alone solution. In practice, following exposure to the pilot VR environment, generally, good levels of acceptability and usability were reported, but areas in need of improvement were identified (such as self-efficacy). Self-reported cybersickness levels were comparable to literature averages but were considerably higher among those with DSs.

CONCLUSIONS: These findings raise questions about the potential interplay between underlying somatic symptoms of depression and VR-induced cybersickness and call for more attention from the scientific community both in terms of methodology as well as potential clinical and theoretical implications. Conclusively, user support indicates a potential for VR to aid mental health assessment, but further research is needed to understand how exposure to virtual environments might affect populations with varying severity and other forms of psychiatric symptoms.

RR2-10.1186/ISRCTN16396369.},
}

Humans
*Virtual Reality
Male
Female
Adult
*Depression/diagnosis/psychology
Young Adult
Italy
Surveys and Questionnaires
User-Computer Interface
Pilot Projects
Self Report

@article {pmid40235568,
year = {2025},
author = {Davies, H and Noble, PJ and Fins, IS and Pinchbeck, G and Singleton, D and Pirmohamed, M and Killick, D},
title = {Developing electronic health records as a source of real-world data for veterinary pharmacoepidemiology.},
journal = {Frontiers in veterinary science},
volume = {12},
number = {},
pages = {1550468},
pmid = {40235568},
issn = {2297-1769},
abstract = {Spontaneous reporting of adverse events (AEs) by veterinary professionals and the public is the cornerstone of post-marketing safety surveillance for veterinary medicinal products (VMPs). However, studies suggest that most veterinary AEs remain unreported. Veterinary medicine regulators, including the United Kingdom Veterinary Medicines Directorate and the European Medicines Agency, have included the exploration of big data utilization to support pharmacovigilance efforts in their regulatory strategies. In this study, we describe the application of veterinary electronic healthcare records (EHRs) from the SAVSNET veterinary first opinion informatics system to conduct pharmacoepidemiological analyses. Five VMP-AE pairs were selected for investigation in a proof-of-concept study, where drug exposure was identified from semi-structured treatment data and AEs from the unstructured free-text clinical narrative. Dictionaries were developed to identify AEs based on standard terminology. The precision of these dictionaries improved when they were expanded using word vectorization and expert opinion. A key strength of first-opinion EHR datasets is their ability to enable cohort studies and facilitate calculations of absolute incidence and relative risk. Thus, we demonstrate that unstructured free-text clinical narratives can be used to identify outcomes for veterinary pharmacoepidemiological studies and, consequently, support and expand pharmacovigilance efforts based on spontaneous AE reports.},
}

@article {pmid40232549,
year = {2025},
author = {Xu, F and Jiang, C and Liu, Q and Yang, R and Li, W and Wei, Y and Bao, L and Tong, H},
title = {Source identification of polycyclic aromatic hydrocarbons (PAHs) in river sediments within a hilly agricultural watershed of Southwestern China: an integrated study based on Pb isotopes and PMF method.},
journal = {Environmental geochemistry and health},
volume = {47},
number = {5},
pages = {174},
pmid = {40232549},
issn = {1573-2983},
support = {NO. 2023YFC3705904//National Key Research and Development Plan of China/ ; NO. 2023YFC3705904//National Key Research and Development Plan of China/ ; NO. 2021-043//Stationing Point Tracking Research of Ecological Barrier Construction in the upper Yangtze River of Sichuan Province/ ; NO. 2021-043//Stationing Point Tracking Research of Ecological Barrier Construction in the upper Yangtze River of Sichuan Province/ ; NO. 41977169//National Natural Science Foundation of China/ ; NO. 41977169//National Natural Science Foundation of China/ ; SKLGP2022Z009//State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project/ ; SKLGP2022Z009//State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project/ ; },
mesh = {China ; *Polycyclic Aromatic Hydrocarbons/analysis ; *Geologic Sediments/chemistry/analysis ; *Rivers/chemistry ; *Water Pollutants, Chemical/analysis ; *Environmental Monitoring/methods ; *Lead/analysis ; Agriculture ; Isotopes/analysis ; Geographic Information Systems ; },
abstract = {Polycyclic aromatic hydrocarbons (PAHs) in sediments represent a pervasive environmental issue that poses significant ecological risks. This study employed a combination of geographic information systems, diagnostic ratios, correlation analysis, Pb isotope ratios, and positive matrix factorization (PMF) to elucidate the potential sources of 16 priority PAHs in river sediments from a hilly agricultural watershed in Southwestern China. The results indicated that PAHs concentrations ranged from 55.9 to 6083.5 ng/g, with a mean value of 1582.1 ± 1528.9 ng/g, reflecting high levels of contamination throughout the watershed. The predominant class of PAHs identified was high molecular weight (HMW) PAHs. Diagnostic ratios and correlation analysis suggested that the presence of PHAs is likely attributed primarily to emissions from industrial dust and combustion of coal and petroleum. Furthermore, correlation analysis revealed a significant association between Pb and PAHs, indicating potential shared sources for both pollutants. Additionally, Pb isotopic analysis demonstrated that aerosols may be the primary contributor to Pb accumulation within this environment. Given the similarity in origins between Pb and PAHs, it can be inferred that PAHs predominantly originate from aerosols associated with coal combustion, industrial dust emissions, and vehicle exhaust. This inference is further supported by PMF results which yielded consistent findings with those derived from Pb isotopes analysis. Moreover, PMF estimated three major sources contributing 57.63%, 23.57%, and 18.80%, respectively. These findings provide novel insights into identifying the sources of PAHs in river sediments within hilly agricultural watersheds in Southwest China, thereby establishing a scientific foundation for enhancing environmental quality in agricultural regions.},
}

China
*Polycyclic Aromatic Hydrocarbons/analysis
*Geologic Sediments/chemistry/analysis
*Rivers/chemistry
*Water Pollutants, Chemical/analysis
*Environmental Monitoring/methods
*Lead/analysis
Agriculture
Isotopes/analysis
Geographic Information Systems

@article {pmid40198742,
year = {2025},
author = {Choi, H and Lee, CH},
title = {The impact of climate change on ecology of tick associated with tick-borne diseases.},
journal = {PLoS computational biology},
volume = {21},
number = {4},
pages = {e1012903},
doi = {10.1371/journal.pcbi.1012903},
pmid = {40198742},
issn = {1553-7358},
mesh = {*Climate Change ; *Tick-Borne Diseases/transmission/epidemiology/prevention & control ; Animals ; *Ticks/physiology ; Humans ; *Models, Biological ; Population Dynamics ; Computational Biology ; },
abstract = {Infectious diseases have caused significant economic and human losses worldwide. Growing concerns exist regarding climate change potentially exacerbating the spread of these diseases, particularly those transmitted by vectors such as ticks and mosquitoes. Tick-borne diseases, such as Severe Fever with Thrombocytopenia Syndrome (SFTS), can be particularly detrimental to elderly and immunocompromised individuals. This study utilizes a mathematical modeling approach to predict changes in tick populations under climate change scenarios, incorporating tick ecology and climate-sensitive parameters. Sensitivity analysis is performed to investigate the factors influencing tick population dynamics. The study further explores effective tick control strategies and their cost-effectiveness in the context of climate change. The findings indicate that the efficacy of tick population reduction varies greatly depending on the timing of control measure implementation and the effectiveness of the control strategies exhibits a strong dependence on the duration of implementation. Furthermore, as climate change intensifies, tick populations are projected to increase, leading to a rise in control costs and SFTS cases. In light of these findings, identifying and implementing appropriate control measures to manage tick populations under climate change will be increasingly crucial.},
}

*Climate Change
*Tick-Borne Diseases/transmission/epidemiology/prevention & control
Animals
*Ticks/physiology
Humans
*Models, Biological
Population Dynamics
Computational Biology

@article {pmid40229317,
year = {2025},
author = {Sabadel, AJM and Riekenberg, P and Ayala-Diaz, M and Belk, MC and Bennett, J and Bode, A and Bury, SJ and Dabouineau, L and Delgado, J and Finucci, B and García-Seoane, R and Giari, L and Henkens, J and IJsseldijk, LL and Joling, T and Kerr-Hislop, O and MacLeod, CD and Meyer, L and McGill, RAR and Negro, E and Quillfeldt, P and Reed, C and Roberts, C and Sayyaf Dezfuli, B and Schmidt, O and Sturbois, A and Suchomel, AD and Thieltges, DW and van der Lingen, CD and van der Meer, MTJ and Viana, IG and Weston, M and Willis, TJ and Filion, A},
title = {Establishing a comprehensive host-parasite stable isotope database to unravel trophic relationships.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {623},
pmid = {40229317},
issn = {2052-4463},
support = {CAWX2207//Ministry of Business, Innovation and Employment (MBIE)/ ; },
mesh = {*Host-Parasite Interactions ; Animals ; Nitrogen Isotopes/analysis ; Carbon Isotopes ; *Databases, Factual ; Sulfur Isotopes/analysis ; *Parasites ; },
abstract = {Over the past decades, stable isotopes have been infrequently used to characterise host-parasite trophic relationships. This is because we have not yet identified consistent patterns in stable isotope values between parasites and their host tissues across species, which are crucial for understanding host-parasite dynamics. To address this, we initiated a worldwide collaboration to establish a unique database of stable isotope values of novel host-parasite pairs, effectively doubling the existing data in published literature. This database includes nitrogen, carbon, and sulphur stable isotope values. We present 3213 stable isotope data entries, representing 586 previously unpublished host-parasite pairs. Additionally, while existing literature was particularly limited in sulphur isotope values, we tripled information on this crucial element. By publishing unreported host-parasite pairs from previously unsampled areas of the world and using appropriate host tissues, our dataset stands unparalleled. We anticipate that end-users will utilise our database to uncover generalisable patterns, deepening our understanding of the complexities of parasite-host relationships and driving future research efforts in stable isotope parasitology.},
}

*Host-Parasite Interactions
Animals
Nitrogen Isotopes/analysis
Carbon Isotopes
*Databases, Factual
Sulfur Isotopes/analysis
*Parasites

@article {pmid40229216,
year = {2025},
author = {Zhang, X and Lu, B and Jin, LN and Yang, S and Wang, C and Tai, J and Li, D and Chen, J},
title = {Emission Dynamics and Public Health Implications of Airborne Pathogens and Antimicrobial Resistance from Urban Waste Collection Facilities.},
journal = {Environmental science & technology},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.est.4c12108},
pmid = {40229216},
issn = {1520-5851},
abstract = {Airborne pathogens and antimicrobial resistance (AMR) present significant global health threats. Household waste collection facilities (WCFs), crucial initial nodes in urban waste management systems, have been understudied in regards to their role in emitting these hazards. This study investigated the abundance, composition, sources, driving mechanisms, and health risks associated with pathogens and AMR originating from WCFs in a major city, using culture-based analysis, high-throughput sequencing, and health risk modeling, respectively. The atmospheric escape rates of culturable bacteria (43.4%), fungi (71.7%), and antibiotic-resistant bacteria (ARB) (43.7%) were estimated based on the concentration differences between the interior and exterior of the WCFs by using SourceTracker2 analysis. Health risk assessments showed that annual infection risks for waste-handling workers ranged from 0.194 to 0.489, far exceeding the World Health Organization's acceptable limit of 10[-4]. Community exposure risks were notable up to 220 m downwind from WCFs, marking the maximum extent of pathogen dispersion. Our analysis suggests that approximately 6.3% of the megacity's area (equivalent to 400 km[2]) is within potential risk zones influenced by WCF emissions. These results underscore the critical need to evaluate and mitigate the public health risks posed by airborne pathogens and AMR emitted from WCFs in megacities globally.},
}

@article {pmid40227267,
year = {2025},
author = {Cassaro, A and Pacelli, C and Fanelli, G and Baqué, M and Maturilli, A and Leo, P and Lelli, V and de Vera, JP and Onofri, S and Timperio, A},
title = {Biomarker Preservation in Antarctic Sandstones after Prolonged Space Exposure Outside the International Space Station During the ESA EXPOSE-E Lichens and Fungi Experiment.},
journal = {Astrobiology},
volume = {},
number = {},
pages = {},
doi = {10.1089/ast.2024.0068},
pmid = {40227267},
issn = {1557-8070},
abstract = {A primary aim of current and future space exploration missions is the detection and identification of chemical and biological indicators of life, namely biomarkers, on Mars. The Mars Sample Return NASA-ESA program will bring to Earth samples of martian soil, acquired from up to 7 cm depth. The ESA Rosalind Franklin rover will search for signs of life in the subsurface (down to a depth of 2 meters), given the highly radioactive conditions on Mars' surface, which are not ideal for life as we know it and for the preservation of its traces. In the frame of the Lichens and Fungi Experiment, small fragments of Antarctic sandstones colonized by cryptoendolithic microbial communities were exposed to space and simulated martian conditions in low Earth orbit for 18 months, aboard the EXPOSE-E payload. Through the use of Raman and infrared spectroscopies, as well as a metabolomic approach, we aimed to detect organic compounds in a quartz mineral matrix. The results show that pigments, such as melanin, carotenoids, and chlorophyll, lipids, and amino acids, maintained their stability within minerals under simulated martian conditions in space, which makes them ideal biomarkers for the exploration of putative life on Mars.},
}

@article {pmid40226649,
year = {2024},
author = {Tamm, J and Takano, K and Just, L and Ehring, T and Rosenkranz, T and Kopf-Beck, J},
title = {Ecological Momentary Assessment versus Weekly Questionnaire Assessment of Change in Depression.},
journal = {Depression and anxiety},
volume = {2024},
number = {},
pages = {9191823},
pmid = {40226649},
issn = {1520-6394},
mesh = {Humans ; *Ecological Momentary Assessment ; Male ; Female ; Adult ; Middle Aged ; Surveys and Questionnaires/standards ; *Depression/diagnosis/therapy ; *Outcome Assessment, Health Care/methods ; Reproducibility of Results ; Pessimism/psychology ; Psychiatric Status Rating Scales ; Rumination, Cognitive ; },
abstract = {OBJECTIVE: Ecological momentary assessment (EMA) is increasingly used to monitor depressive symptoms in clinical trials, but little is known about the comparability of its outcomes to those of clinical interviews and questionnaires. In our study, we administered EMA and questionnaires to measure change in depressive symptoms and repetitive negative thinking (RNT) in a clinical trial and investigated (a) the size of intervention effects associated with both techniques and (b) their validity in predicting clinical interview outcomes (i.e., global functioning).

MATERIALS AND METHODS: Seventy-one depressed patients were randomly assigned to one of three psychological interventions. The EMA comprised a concise item set (four items per scale) and was administered three times per day during a 7-week intervention period. Conversely, questionnaires were assessed weekly (WQA), encompassing their full sets of items of depressive symptoms and RNT.

RESULTS: While EMA excelled in detecting significant intervention effects, WQA demonstrated greater strength in predicting clinician ratings of global functioning. Additionally, we observed significant differences in time effects (slopes) between the two techniques. WQA scores decreased steeper over time and were more extreme, e.g., higher at baseline and lower postintervention, than EMA scores.

CONCLUSIONS: Although clinical interviews, questionnaires, and EMA outcomes are related, they assess changes in depression differently. EMA may be more sensitive to intervention effects, but all three methods harbor potential bias, raising validity and reliability questions. Therefore, to enhance the validity and reliability of clinical trial assessments, we emphasize the importance of EMA approaches that combine subjective self-reports with objectively measured behavioral markers. This trial is registered with osf.io/9fuhn.},
}

Humans
*Ecological Momentary Assessment
Male
Female
Adult
Middle Aged
Surveys and Questionnaires/standards
*Depression/diagnosis/therapy
*Outcome Assessment, Health Care/methods
Reproducibility of Results
Pessimism/psychology
Psychiatric Status Rating Scales
Rumination, Cognitive

@article {pmid40223273,
year = {2025},
author = {Yang, SY and Han, SM and Lee, JY and Kim, KS and Lee, JE and Lee, DW},
title = {Advancing Gut Microbiome Research: The Shift from Metagenomics to Multi-Omics and Future Perspectives.},
journal = {Journal of microbiology and biotechnology},
volume = {35},
number = {},
pages = {e2412001},
doi = {10.4014/jmb.2412.12001},
pmid = {40223273},
issn = {1738-8872},
mesh = {Humans ; *Gastrointestinal Microbiome/genetics ; *Metagenomics/methods/trends ; *Metabolomics/methods ; *Genomics/methods ; Proteomics/methods ; Precision Medicine ; Host Microbial Interactions ; Multiomics ; },
abstract = {The gut microbiome, a dynamic and integral component of human health, has co-evolved with its host, playing essential roles in metabolism, immunity, and disease prevention. Traditional microbiome studies, primarily focused on microbial composition, have provided limited insights into the functional and mechanistic interactions between microbiota and their host. The advent of multi-omics technologies has transformed microbiome research by integrating genomics, transcriptomics, proteomics, and metabolomics, offering a comprehensive, systems-level understanding of microbial ecology and host-microbiome interactions. These advances have propelled innovations in personalized medicine, enabling more precise diagnostics and targeted therapeutic strategies. This review highlights recent breakthroughs in microbiome research, demonstrating how these approaches have elucidated microbial functions and their implications for health and disease. Additionally, it underscores the necessity of standardizing multi-omics methodologies, conducting large-scale cohort studies, and developing novel platforms for mechanistic studies, which are critical steps toward translating microbiome research into clinical applications and advancing precision medicine.},
}

Humans
*Gastrointestinal Microbiome/genetics
*Metagenomics/methods/trends
*Metabolomics/methods
*Genomics/methods
Proteomics/methods
Precision Medicine
Host Microbial Interactions
Multiomics

@article {pmid40222989,
year = {2025},
author = {Mu, K and Wang, Z and Tang, J and Zhang, J and Han, W},
title = {The satisfaction of ecological environment in sports public services by artificial intelligence and big data.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {12748},
pmid = {40222989},
issn = {2045-2322},
mesh = {Humans ; *Artificial Intelligence ; *Big Data ; *Sports ; Surveys and Questionnaires ; Neural Networks, Computer ; *Personal Satisfaction ; },
abstract = {In order to gain a more accurate understanding and enhance the relationship between the fitness ecological environment and artificial intelligence (AI)-driven sports public services, this study combines a Convolutional Neural Network (CNN) approach based on residual modules and attention mechanisms with the SERVQUAL evaluation model. The method employed involves the analysis of big data collected from questionnaire surveys, literature reviews, and interviews. This study critically examines the impact of advanced AI technologies on residents' satisfaction with the fitness ecological environment in sports public services and conducts theoretical analysis of the obtained data. The results show that the quality of sports public services empowered by AI significantly influences residents' satisfaction with the fitness ecological environment, such as running, swimming, ball games and other sports with high requirements for sports service quality and ecological environment. Only the good public sports service quality matching with them can meet the needs of the ecological environment for fitness, and stimulate the enthusiasm of the people for fitness. The study also shows that swimming, running and all kinds of ball games account for the largest proportion of all sports. To sum up, the satisfaction of residents' fitness ecological environment is greatly affected by the quality of public sports services, which is mainly reflected in the good and perfect sports environment and facilities that can provide residents with a wealth of fitness options, greatly improving the sports ecological environment. This study is helpful to realize the relationship between sports public service and sports ecological environment. It contributes to understanding the role of AI and deep learning in enhancing the correlation between sports public service and the ecological environment of sports.},
}

Humans
*Artificial Intelligence
*Big Data
*Sports
Surveys and Questionnaires
Neural Networks, Computer
*Personal Satisfaction

@article {pmid39031316,
year = {2025},
author = {Chakraborty, K and Saha, S and Mandal, D},
title = {Hydrological modelling using SWAT for the assessment of streamflow dynamics in the Ganga River basin.},
journal = {Environmental science and pollution research international},
volume = {32},
number = {16},
pages = {10258-10278},
doi = {10.1007/s11356-024-34385-5},
pmid = {39031316},
issn = {1614-7499},
mesh = {*Rivers ; Hydrology ; *Models, Theoretical ; *Environmental Monitoring/methods ; Geographic Information Systems ; *Water Movements ; Rain ; },
abstract = {Growing concerns over water availability arise from the problems of population growth, rapid industrialization, and human interferences, necessitating accurate streamflow estimation at the river basin scale. It is extremely challenging to access stream flow data of a transboundary river at a spatio-temporal scale due to data unavailability caused by water conflicts for assessing the water availability.Primarily, this estimation is done using rainfall-runoff models. The present study addresses this challenge by applying the soil and water assessment tool (SWAT) for hydrological modelling, utilizing high-resolution geospatial inputs. Hydrological modelling using remote sensing and GIS (Geographic Information System) through this model is initiated to assess the water availability in the Ganga River basin at different locations. The outputs are calibrated and validated using the observed station data from Global Runoff Data Centre (GRDC). To check the performance of the model, Nash-Sutcliffe efficiency (NSE), percent bias (PBIAS), coefficient of determination (R[2]), and RSR efficacy measures are initiated in ten stations using the observed and simulated stream flow data. The R[2] values of eight stations range from 0.82 to 0.93, reflecting the efficacy of the model in rainfall-runoff modelling. Moreover, the results obtained from this hydrological modelling can serve as valuable resources for water resource planners and geographers for future reference.},
}

*Rivers
Hydrology
*Models, Theoretical
*Environmental Monitoring/methods
Geographic Information Systems
*Water Movements
Rain

@article {pmid40218748,
year = {2025},
author = {Meng, J and Wang, Y and Liu, W and Yang, X and He, P},
title = {Research on the Development of an Inland Lake Bathymetry Estimation Model Based on Multispectral Data.},
journal = {Sensors (Basel, Switzerland)},
volume = {25},
number = {7},
pages = {},
pmid = {40218748},
issn = {1424-8220},
support = {41901285//the National Natural Science Foundation of China/ ; },
abstract = {Lakes play a crucial role in regional economic development and ecological construction. The variation in lake water depth has a direct impact on local economic activities, such as agriculture, livestock farming, and fisheries, as well as the stability of hydrological conditions and water ecology. In response to the lack of unified evaluation in the application of remote sensing water-depth estimation models for inland lakes, this study systematically compares the performance of numerical models and machine learning models for water-depth estimation in inland lakes. A machine learning-based water-depth estimation model construction methodology suitable for inland lakes is proposed. This study introduces an innovative approach by integrating machine learning techniques with multispectral remote sensing data, improving the accuracy and applicability of water-depth estimation models for inland lakes. The results show the following: (1) The machine learning models based on random forest (RF), BP neural networks (BP), and AdaBoost demonstrate better performance (R[2] = 0.88, 0.72, and 0.61; MAE = 0.12 m, 0.24 m, and 0.31 m; RMSE = 0.32 m, 0.48 m, and 0.57 m) compared to the multi-band logarithmic ratio (MLR) model (R[2] = 0.59; MAE = 0.32 m; RMSE = 0.58 m); (2) the machine learning water-depth estimation model constructed based on this methodology exhibits improved precision (R[2] = 0.92, 0.89, and 0.80; MAE = 0.11 m, 0.17 m, and 0.25 m; RMSE = 0.25 m, 0.30 m, and 0.41 m). This suggests that the methodology is more suitable for the estimation of water depth in medium- and small-sized lakes; (3) The machine learning model developed in this study, combined with multispectral remote sensing imagery, achieves the accuracy required for the evaluation of water depths for practical water resources. This model enables the rapid acquisition of high-precision underwater three-dimensional topographic maps, providing more accurate and timely hydrological data support for lake water resource management.},
}

@article {pmid40213769,
year = {2025},
author = {Yi, S and Liu, Y and Wu, Q and Zhao, D and Li, Z and Peng, X and Liao, G and Wang, S},
title = {Glycosylation of oral bacteria in modulating adhesion and biofilm formation.},
journal = {Journal of oral microbiology},
volume = {17},
number = {1},
pages = {2486650},
pmid = {40213769},
issn = {2000-2297},
abstract = {BACKGROUND: Glycosylation is a ubiquitous biochemical process that covalently attaches glycans to proteins or lipids, which plays a pivotal role in modulating the structure and function of these biomolecules. This post-translational modification is prevalent in living organisms and intricately regulates various biological processes, including signaling transduction, recognition, and immune responses. In the oral environment, bacteria ingeniously use glycosylation to enhance their adhesion to oral surfaces, which is a key step in biofilm formation and subsequent development. This adhesion process is intimately associated with the onset and progression of oral diseases, including dental caries and periodontal disease.

OBJECTIVE: This review aims to describe the types and mechanisms of glycosylation in oral bacteria, and to understand the role of glycosylation in the adhesion, biofilm formation and virulence of oral bacteria.

METHODS: We reviewed articles on glycosylation in a variety of oral bacteria.

CONCLUSION: In cariogenic bacteria and periodontopathic pathogens, glycosylation facilitates adhesion and subsequent biofilm maturation on tooth surface.   Distinct glycosylation patterns in oral bacteria shape biofilm structure and function, influencing microbial interactions and community stability.   Pathogen-specific glycosylation signatures enhance virulence and ecological competitiveness, contributing to disease progression. Glycosylation plays a critical role in bacterial virulence and community  interactions, with significant implications for oral health and disease development.},
}

@article {pmid40213351,
year = {2025},
author = {Fehér, ÁM and Bajory, Z and Czimbalmos, N and Burián, K and Lázár, A and Rárosi, F and Köves, B},
title = {Single-dose vs prolonged antibiotic prophylaxis of fosfomycin for transrectal prostate biopsy: a single-center prospective, randomized, controlled trial.},
journal = {Prostate international},
volume = {13},
number = {1},
pages = {28-33},
pmid = {40213351},
issn = {2287-8882},
abstract = {BACKGROUND: Transrectal prostate biopsy is a commonly performed urological procedure in which antibiotic prophylaxis is recommended. Fluoroquinolone-type antibiotics are no longer acceptable in the EU. Fosfomycin-trometamol may be used, but there is no evidence regarding its ideal dose and administration time.

METHODS: Patients who underwent prostate biopsy between 2021 and 2023 were evaluated prospectively. 204 patients were randomized into two arms: 102 patients (Arm A) received a single-dose of fosfomycin-trometamol one hour before surgery, and 102 patients (Arm B) received one additional dose of fosfomycin-trometamol 48 hours after the first dose. Urine tests and questionnaires were administered during the postoperative period and the subsequent four weeks to identify any symptoms, infectious, or other complications.

RESULTS: There was no statistical difference in the rate of asymptomatic bacteriuria (4.90% (5) vs. 8.82% (9), P = 0.27) symptomatic urinary tract infection (0% (0) vs. 1.96% (2), P = 0.50), or febrile urinary tract infection (0% (0) vs. 0.98% (1), P = 1) between the groups. Only hematuria was significantly more common in Arm B (6.86% (7) vs. 16.67% (17), P = 0.03), whereas other complications did not differ significantly. There was no statistical difference in hospitalization (0.98% (1) vs. 2.94 (3), P = 0.62) or mortality rate (0 % (0) vs. 0.98% (1), P = 1). Sub-group analysis of previous antibiotic users showed no difference in terms of complications.

CONCLUSION: There is no significant difference in infectious complications between single-dose and prolonged prophylaxis of fosfomycin-trometamol for transrectal prostate biopsy. A single-dose of fosfomycin one hour before biopsy is an ideal choice with a better ecological impact compared with prolonged antibiotic prophylaxis for transrectal prostate biopsy.},
}

@article {pmid40211980,
year = {2025},
author = {Elena Schmitz, J and Rahmann, S},
title = {A comprehensive review and evaluation of species richness estimation.},
journal = {Briefings in bioinformatics},
volume = {26},
number = {2},
pages = {},
doi = {10.1093/bib/bbaf158},
pmid = {40211980},
issn = {1477-4054},
mesh = {*Biodiversity ; Computer Simulation ; Animals ; Computational Biology/methods ; Algorithms ; },
abstract = {MOTIVATION: The statistical problem of estimating the total number of distinct species in a population (or distinct elements in a multiset), given only a small sample, occurs in various areas, ranging from the unseen species problem in ecology to estimating the diversity of immune repertoires. Accurately estimating the true richness from very small samples is challenging, in particular for highly diverse populations with many rare species. Depending on the application, different estimation strategies have been proposed that incorporate explicit or implicit assumptions about either the species distribution or about the sampling process. These methods are scattered across the literature, and an extensive overview of their assumptions, methodology, and performance is currently lacking.

RESULTS: We comprehensively review and evaluate a variety of existing methods on real and simulated data with different compositions of rare and abundant species. Our evaluation shows that, depending on species composition, different methods provide the most accurate richness estimates. Simple methods based on the observed number of singletons yield accurate asymptotic lower bounds for several of the tested simulated species compositions, but tend to underestimate the true richness for heterogeneous populations and small samples containing 1% to 5% of the population. When the population size is known, upsampling (extrapolating) estimators such as PreSeq and RichnEst yield accurate estimates of the total species richness in a sample that is up to 10 times larger than the observed sample.

AVAILABILITY: Source code for data simulation and richness estimation is available at https://gitlab.com/rahmannlab/speciesrichness.},
}

*Biodiversity
Computer Simulation
Animals
Computational Biology/methods
Algorithms

@article {pmid40205052,
year = {2025},
author = {Yoo, D and Rhie, A and Hebbar, P and Antonacci, F and Logsdon, GA and Solar, SJ and Antipov, D and Pickett, BD and Safonova, Y and Montinaro, F and Luo, Y and Malukiewicz, J and Storer, JM and Lin, J and Sequeira, AN and Mangan, RJ and Hickey, G and Monfort Anez, G and Balachandran, P and Bankevich, A and Beck, CR and Biddanda, A and Borchers, M and Bouffard, GG and Brannan, E and Brooks, SY and Carbone, L and Carrel, L and Chan, AP and Crawford, J and Diekhans, M and Engelbrecht, E and Feschotte, C and Formenti, G and Garcia, GH and de Gennaro, L and Gilbert, D and Green, RE and Guarracino, A and Gupta, I and Haddad, D and Han, J and Harris, RS and Hartley, GA and Harvey, WT and Hiller, M and Hoekzema, K and Houck, ML and Jeong, H and Kamali, K and Kellis, M and Kille, B and Lee, C and Lee, Y and Lees, W and Lewis, AP and Li, Q and Loftus, M and Loh, YHE and Loucks, H and Ma, J and Mao, Y and Martinez, JFI and Masterson, P and McCoy, RC and McGrath, B and McKinney, S and Meyer, BS and Miga, KH and Mohanty, SK and Munson, KM and Pal, K and Pennell, M and Pevzner, PA and Porubsky, D and Potapova, T and Ringeling, FR and Rocha, JL and Ryder, OA and Sacco, S and Saha, S and Sasaki, T and Schatz, MC and Schork, NJ and Shanks, C and Smeds, L and Son, DR and Steiner, C and Sweeten, AP and Tassia, MG and Thibaud-Nissen, F and Torres-González, E and Trivedi, M and Wei, W and Wertz, J and Yang, M and Zhang, P and Zhang, S and Zhang, Y and Zhang, Z and Zhao, SA and Zhu, Y and Jarvis, ED and Gerton, JL and Rivas-González, I and Paten, B and Szpiech, ZA and Huber, CD and Lenz, TL and Konkel, MK and Yi, SV and Canzar, S and Watson, CT and Sudmant, PH and Molloy, E and Garrison, E and Lowe, CB and Ventura, M and O'Neill, RJ and Koren, S and Makova, KD and Phillippy, AM and Eichler, EE},
title = {Complete sequencing of ape genomes.},
journal = {Nature},
volume = {},
number = {},
pages = {},
pmid = {40205052},
issn = {1476-4687},
abstract = {The most dynamic and repetitive regions of great ape genomes have traditionally been excluded from comparative studies[1-3]. Consequently, our understanding of the evolution of our species is incomplete. Here we present haplotype-resolved reference genomes and comparative analyses of six ape species: chimpanzee, bonobo, gorilla, Bornean orangutan, Sumatran orangutan and siamang. We achieve chromosome-level contiguity with substantial sequence accuracy (<1 error in 2.7 megabases) and completely sequence 215 gapless chromosomes telomere-to-telomere. We resolve challenging regions, such as the major histocompatibility complex and immunoglobulin loci, to provide in-depth evolutionary insights. Comparative analyses enabled investigations of the evolution and diversity of regions previously uncharacterized or incompletely studied without bias from mapping to the human reference genome. Such regions include newly minted gene families in lineage-specific segmental duplications, centromeric DNA, acrocentric chromosomes and subterminal heterochromatin. This resource serves as a comprehensive baseline for future evolutionary studies of humans and our closest living ape relatives.},
}

@article {pmid40048849,
year = {2025},
author = {Bargheet, A and Noordzij, HT and Ponsero, AJ and Jian, C and Korpela, K and Valles-Colomer, M and Debelius, J and Kurilshikov, A and Pettersen, VK},
title = {Dynamics of gut resistome and mobilome in early life: a meta-analysis.},
journal = {EBioMedicine},
volume = {114},
number = {},
pages = {105630},
pmid = {40048849},
issn = {2352-3964},
mesh = {Humans ; *Gastrointestinal Microbiome/genetics ; Infant ; Metagenomics/methods ; Infant, Newborn ; Anti-Bacterial Agents/pharmacology/therapeutic use ; Metagenome ; Female ; Interspersed Repetitive Sequences ; *Drug Resistance, Bacterial/genetics ; Computational Biology/methods ; },
abstract = {BACKGROUND: The gut microbiota of infants harbours a higher proportion of antibiotic resistance genes (ARGs) compared to adults, even in infants never exposed to antibiotics. Our study aims to elucidate this phenomenon by analysing how different perinatal factors influence the presence of ARGs, mobile genetic elements (MGEs), and their bacterial hosts in the infant gut.

METHODS: We searched MEDLINE and Embase up to April 3rd, 2023, for studies reporting infant cohorts with shotgun metagenomic sequencing of stool samples. The systematic search identified 14 longitudinal infant cohorts from 10 countries across three continents, featuring publicly available sequencing data with corresponding metadata. For subsequent integrative bioinformatic analyses, we used 3981 high-quality metagenomic samples from 1270 infants and 415 mothers.

FINDINGS: We identified distinct trajectories of the resistome and mobilome associated with birth mode, gestational age, antibiotic use, and geographical location. Geographical variation was exemplified by differences between cohorts from Europe, Southern Africa, and Northern America, which showed variation in both diversity and abundance of ARGs. On the other hand, we did not detect a significant impact of breastfeeding on the infants' gut resistome. More than half of detected ARGs co-localised with plasmids in key bacterial hosts, such as Escherichia coli and Enterococcus faecalis. These ARG-associated plasmids were gradually lost during infancy. We also demonstrate that E. coli role as a primary modulator of the infant gut resistome and mobilome is facilitated by its increased abundance and strain diversity compared to adults.

INTERPRETATION: Birth mode, gestational age, antibiotic exposure, and geographical location significantly influence the development of the infant gut resistome and mobilome. A reduction in E. coli relative abundance over time appears as a key factor driving the decrease in both resistome and plasmid relative abundance as infants grow.

FUNDING: Centre for Advanced Study in Oslo, Norway. Centre for New Antibacterial Strategies through the Tromsø Research Foundation, Norway.},
}

Humans
*Gastrointestinal Microbiome/genetics
Infant
Metagenomics/methods
Infant, Newborn
Anti-Bacterial Agents/pharmacology/therapeutic use
Metagenome
Female
Interspersed Repetitive Sequences
*Drug Resistance, Bacterial/genetics
Computational Biology/methods

@article {pmid40169791,
year = {2025},
author = {Ding, DY and Tang, Z and Zhu, B and Ren, H and Shalek, AK and Tibshirani, R and Nolan, GP},
title = {Quantitative characterization of tissue states using multiomics and ecological spatial analysis.},
journal = {Nature genetics},
volume = {57},
number = {4},
pages = {910-921},
pmid = {40169791},
issn = {1546-1718},
mesh = {Humans ; *Spatial Analysis ; *Genomics/methods ; Single-Cell Analysis/methods ; Multiomics ; },
abstract = {The spatial organization of cells in tissues underlies biological function, and recent advances in spatial profiling technologies have enhanced our ability to analyze such arrangements to study biological processes and disease progression. We propose MESA (multiomics and ecological spatial analysis), a framework drawing inspiration from ecological concepts to delineate functional and spatial shifts across tissue states. MESA introduces metrics to systematically quantify spatial diversity and identify hot spots, linking spatial patterns to phenotypic outcomes, including disease progression. Furthermore, MESA integrates spatial and single-cell multiomics data to facilitate an in-depth, molecular understanding of cellular neighborhoods and their spatial interactions within tissue microenvironments. Applying MESA to diverse datasets demonstrates additional insights it brings over prior methods, including newly identified spatial structures and key cell populations linked to disease states. Available as a Python package, MESA offers a versatile framework for quantitative decoding of tissue architectures in spatial omics across health and disease.},
}

Humans
*Spatial Analysis
*Genomics/methods
Single-Cell Analysis/methods
Multiomics

@article {pmid40200522,
year = {2025},
author = {Dsouza, N and Cohen, E and Ossebaard, H and van Meurs, H and Sijm-Eeken, M},
title = {The Ecological Footprint of Gynecology: Lessons from Dutch Hospitals and Implications for Future Healthcare Management.},
journal = {Studies in health technology and informatics},
volume = {323},
number = {},
pages = {424-428},
doi = {10.3233/SHTI250125},
pmid = {40200522},
issn = {1879-8365},
mesh = {Netherlands ; *Gynecology/organization & administration ; Humans ; Quality Improvement/organization & administration ; Female ; Models, Organizational ; },
abstract = {In 2023, global temperatures reached record-breaking highs, highlighting the urgent need for climate action. Healthcare is responsible for 4-8% of global carbon emissions, contributing to global warming and impacting the health of billions of people. Within healthcare, gynecology has a significant ecological footprint due to its high volume and broad range of care services. However, little is known on how gynecology departments' management structures, information systems and processes can be optimized to reduce the ecological footprint of this specialty. Therefore, a sustainability maturity model based on Donabedian's structure-process-outcome model for quality improvement was used to assess sustainability performance in two gynecology practices with different organizational structures (centralized vs. decentralized). Maturity model scores and interview findings were analyzed to extract lessons and recommendations for optimizing sustainability within gynecology. As the first assessment of its kind, this study provides a foundation for healthcare management seeking to improve environmental performance in gynecological care.},
}

Netherlands
*Gynecology/organization & administration
Humans
Quality Improvement/organization & administration
Female
Models, Organizational

@article {pmid40200140,
year = {2025},
author = {Antala, M and Kovar, M and Sporinová, L and Filacek, A and Juszczak, R and Zivcak, M and Shomali, A and Prasad, R and Brestic, M and Rastogi, A},
title = {High-throughput phenotyping of buckwheat (Fagopyrum esculentum Moench.) genotypes under water stress: exploring drought resistance for sustainable agriculture.},
journal = {BMC plant biology},
volume = {25},
number = {1},
pages = {444},
pmid = {40200140},
issn = {1471-2229},
support = {23-04221 L//Grantová Agentura České Republiky/ ; 731013//Horizon 2020 Framework Programme/ ; 2021/43/I/NZ9/01356//Narodowym Centrum Nauki/ ; BWS/BIL/2022/1/00120//Narodowa Agencja Wymiany Akademickiej/ ; },
mesh = {*Fagopyrum/genetics/physiology/growth & development ; Genotype ; *Droughts ; Phenotype ; Dehydration ; Crops, Agricultural/genetics/physiology ; Agriculture ; Stress, Physiological ; Plant Breeding ; Drought Resistance ; },
abstract = {BACKGROUND: As global agriculture faces the challenge of climate change, characterized by longer and more severe drought episodes, there is an increasing need for crop diversification and improved plant breeding. Buckwheat is one of the climate-resilient candidates for future important crops with remarkable adaptability to various biotic and abiotic stresses. As an underbred crop, a large number of genotypes should be assessed for the breeding of superior plants. Therefore, this study investigates the response of various buckwheat genotypes to water stress by high-throughput phenotyping and auxiliary plant physiology measurements.

RESULTS: We assessed six buckwheat genotypes from different regions under mild and severe water stress, focusing on morphological and physiological changes to understand drought tolerance mechanisms. Our findings revealed that reallocation of assimilated carbon from growth to secondary metabolite production is a common response to drought stress. Among the genotypes tested, Panda emerged as the most drought-resistant, with its morphology remaining the most stable under mild water stress and its ability to rapidly accumulate protective pigments in response to drought. Silver Hull also demonstrated resilience, maintaining its aboveground biomass under mild water stress at levels comparable to the control group. Additionally, the response magnitude to drought stress was linked to the biomass production potential of the genotypes, which was higher for those from warmer regions (Bhutan, Zimbabwe) and lower for those from colder regions (Poland, Canada).

CONCLUSION: The diversity in genotypic responses highlights the significant role of genetic variability in shaping drought resistance strategies in buckwheat. This research not only enhances our understanding of buckwheat's physiological responses to water stress but also holds promise for developing drought-resistant buckwheat varieties. These advancements are crucial for promoting sustainable agriculture in the face of climate change.},
}

*Fagopyrum/genetics/physiology/growth & development
Genotype
*Droughts
Phenotype
Dehydration
Crops, Agricultural/genetics/physiology
Agriculture
Stress, Physiological
Plant Breeding
Drought Resistance

@article {pmid40200134,
year = {2025},
author = {Hu, X and Pan, L and Fu, C and Zhu, Q and Hao, J and Wang, X and Nawaz, M and Qu, J and Zhang, J and Chen, Y and Zong, J and Liao, L and Tang, M and Wang, Z},
title = {A multi-omics analysis reveals candidate genes for Cd tolerance in Paspalum vaginatum.},
journal = {BMC plant biology},
volume = {25},
number = {1},
pages = {441},
pmid = {40200134},
issn = {1471-2229},
support = {No.321RC475//Hainan Natural Science Foundation high-level Talents Project/ ; No.321RC475//Hainan Natural Science Foundation high-level Talents Project/ ; ZDYF2023XDNY078//the Hainan Province Science and Technology Special Fund/ ; XTCX2022STC10//Collaborative Innovation Center Project of Ecological Civilization in Hainan University/ ; KJRC2023C21//Innovational Fund for Scientific and Technological Personnel of Hainan Province/ ; No.32060409//the National Natural Science Foundation of China/ ; XTCX2022NYB08//Collaborative Innovation Center Project of Nanfan and High-Efficiency Tropical Agriculture in Hainan University/ ; },
mesh = {*Cadmium/toxicity ; *Paspalum/genetics/drug effects/metabolism/physiology ; Genome-Wide Association Study ; *Genes, Plant ; Gene Expression Regulation, Plant ; Multiomics ; },
abstract = {Cadmium (Cd) pollution in the farmland has become a serious global issue threatening both human health and plant biomass production. Seashore paspalum (Paspalum vaginatum Sw.), a halophytic turfgrass, has been recognized as a Cd-tolerant species. However, the underlying genetic basis of natural variations in Cd tolerance still remains unknown. This study is possibly the first to apply genome-wide association studies (GWAS) and selective sweep analysis to identify potential Cd stress-responsive genes in P. vaginatum. We identified a total of 89 candidate genes and 656 putative selective sweeps regions. Based on the correlation analysis of differentially expressed metabolites (DEMs) and differentially expressed genes (DEGs), we identified the 55 key genes associated with metabolic changes induced by Cd treatment as the Cd tolerance-related genes. These genes showed significantly higher expression in Cd-tolerant accessions as compared to Cd-susceptive accessions. Therefore, our multi-omics study revealed the molecular and genetic basis of Cd tolerance, which may help develop Cd tolerant crop varieties.},
}

*Cadmium/toxicity
*Paspalum/genetics/drug effects/metabolism/physiology
Genome-Wide Association Study
*Genes, Plant
Gene Expression Regulation, Plant
Multiomics

@article {pmid40199921,
year = {2025},
author = {Chaudhary, VB and Nokes, LF and González, JB and Cooper, PO and Katula, AM and Mares, EC and Pehim Limbu, S and Robinson, JN and Aguilar-Trigueros, CA},
title = {TraitAM, a global spore trait database for arbuscular mycorrhizal fungi.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {588},
pmid = {40199921},
issn = {2052-4463},
support = {DEB-2205650//National Science Foundation (NSF)/ ; Feodor Lynen Fellowship//Alexander von Humboldt-Stiftung (Alexander von Humboldt Foundation)/ ; },
mesh = {*Mycorrhizae/genetics ; *Spores, Fungal ; Phylogeny ; Symbiosis ; Databases, Factual ; },
abstract = {Knowledge regarding organismal traits supports a better understanding of the relationship between form and function and can be used to predict the consequences of environmental stressors on ecological and evolutionary processes. Most plants on Earth form symbioses with mycorrhizal fungi, but our ability to make trait-based inferences for these fungi is limited due to a lack of publicly available trait data. Here, we present TraitAM, a comprehensive database of multiple spore traits for all described species of the most common group of mycorrhizal fungi, the arbuscular mycorrhizal (AM) fungi (subphylum Glomeromycotina). Trait data for 344 species were mined from original species descriptions and used to calculate newly developed fungal trait metrics that can be employed to explore both intra- and inter-specific variation in traits. TraitAM also includes an updated phylogenetic tree that can be used to conduct phylogenetically-informed multivariate analyses of AM fungal traits. TraitAM will aid our further understanding of the biology, ecology, and evolution of these globally widespread, symbiotic fungi.},
}

*Mycorrhizae/genetics
*Spores, Fungal
Phylogeny
Symbiosis
Databases, Factual

@article {pmid40198914,
year = {2025},
author = {Holmqvist, S and Kaplan, M and Chaturvedi, R and Shou, H and Giovannetti, T},
title = {Longitudinal and Combined Smartwatch and Ecological Momentary Assessment in Racially Diverse Older Adults: Feasibility, Adherence, and Acceptability Study.},
journal = {JMIR human factors},
volume = {12},
number = {},
pages = {e69952},
doi = {10.2196/69952},
pmid = {40198914},
issn = {2292-9495},
mesh = {Humans ; *Ecological Momentary Assessment/statistics & numerical data ; Male ; Aged ; Female ; Feasibility Studies ; Middle Aged ; *Patient Compliance/statistics & numerical data ; Aged, 80 and over ; Longitudinal Studies ; *Smartphone ; *Mobile Applications ; *Cognitive Dysfunction/diagnosis ; *Wearable Electronic Devices/statistics & numerical data ; },
abstract = {BACKGROUND: Due to the rising prevalence of Alzheimer disease and related dementias, easily deployable tools to quantify risk are needed. Smartphones and smartwatches enable unobtrusive and continuous monitoring, but there is limited information regarding the feasibility, adherence, and acceptability of digital data collection among racially diverse older adults.

OBJECTIVE: This paper examined the feasibility, adherence, and acceptability of a 4-week combined smartwatch monitoring and ecological momentary assessment (EMA) study in a racially diverse sample of older adults.

METHODS: A total of 44 older adults (aged ≥55 y) with either mild cognitive impairment or healthy cognition completed an informed consent comprehension quiz, baseline cognitive testing, training regarding digital data collection, and questionnaires. Participants were instructed to wear a Garmin Vivosmart 4 smartwatch for 23 h/d for 4 weeks, sync 2 smartphone apps (Garmin and Labfront) daily, and complete a daily EMA survey with automated prompts for surveys and charging. Training time, smartwatch adherence (eg, wear time), daily EMA survey response rate, and performance on the consent quiz were quantified. Associations between feasibility and adherence metrics and participant factors were evaluated. Self-reported usability of the apps and smartwatch was collected at study end.

RESULTS: Consent comprehension quiz scores were high (mean 97.33%, SD 6.86% correct), and training sessions lasted on average 17.93 (SD 6.89) minutes. During the 4-week study, participants wore the smartwatch for an average of 21 h/d (SD 1.53) and showed an average response rate of 94% (SD 9.58%) to daily EMA surveys. In unadjusted bivariate analyses, age, race, and cognition were associated with feasibility and adherence measures, but only age and race remained significant in multivariate models. After accounting for all participant factors, older age was a significant predictor of longer training time, and Black race was a significant predictor of lower daily wear time. On the usability survey, all participants (45/45, 100%) indicated willingness to participate in future smartwatch studies, >80% (37/45) had a positive experience, and >90% (41/45) were satisfied with smartphone app syncing.

CONCLUSIONS: Smartwatch monitoring, requiring daily wear, smartphone syncing, and daily EMA survey completion, is highly feasible in older adults because adherence to daily wear and EMA surveys was high, as was general satisfaction on usability surveys. Although older participants may require more training on smartwatch and smartphone procedures and automated prompting during the study period, longitudinal monitoring with the Garmin Vivosmart 4 smartwatch and Labfront app is acceptable and feasible for collecting nearly continuous data in Black and White older adults, including those with mild cognitive impairment and those without.},
}

Humans
*Ecological Momentary Assessment/statistics & numerical data
Male
Aged
Female
Feasibility Studies
Middle Aged
*Patient Compliance/statistics & numerical data
Aged, 80 and over
Longitudinal Studies
*Smartphone
*Mobile Applications
*Cognitive Dysfunction/diagnosis
*Wearable Electronic Devices/statistics & numerical data

@article {pmid40198416,
year = {2025},
author = {Huan, F and Gao, S and Gu, Y and Ni, L and Wu, M and Li, Y and Liu, M and Yang, Y and Xiao, A and Liu, G},
title = {Molecular Allergology: Epitope Discovery and Its Application for Allergen-Specific Immunotherapy of Food Allergy.},
journal = {Clinical reviews in allergy & immunology},
volume = {68},
number = {1},
pages = {37},
pmid = {40198416},
issn = {1559-0267},
support = {32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 32472449//the grant from the National Natural Science Foundation of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; 2022YFF1100103//the grant from the National Key R&D Program of China/ ; },
mesh = {Humans ; *Food Hypersensitivity/therapy/immunology ; *Allergens/immunology/chemistry/genetics ; *Desensitization, Immunologic/methods ; Animals ; *Epitopes, T-Lymphocyte/immunology ; *Epitopes, B-Lymphocyte/immunology ; *Epitopes/immunology ; Computational Biology ; Epitope Mapping ; },
abstract = {The prevalence of food allergy continues to rise, posing a significant burden on health and quality of life. Research on antigenic epitope identification and hypoallergenic agent design is advancing allergen-specific immunotherapy (AIT). This review focuses on food allergens from the perspective of molecular allergology, provides an overview of integration of bioinformatics and experimental validation for epitope identification, highlights hypoallergenic agents designed based on epitope information, and offers a valuable guidance to the application of hypoallergenic agents in AIT. With the development of molecular allergology, the characterization of the amino acid sequence and structure of the allergen at the molecular level facilitates T-/B-cell epitope identification. Alignment of the identified epitopes in food allergens revealed that the amino acid sequence of T-/B-cell epitopes barely overlapped, providing crucial data to design allergen molecules as a promising form for treating (FA) food allergy. Manipulating antigenic epitopes can reduce the allergenicity of allergens to obtain hypoallergenic agents, thereby minimizing the severe side effects associated with AIT. Currently, hypoallergenic agents are mainly developed through synthetic epitope peptides, genetic engineering, or food processing methods based on the identified epitope. New strategies such as DNA vaccines, signaling molecules coupling, and nanoparticles are emerging to improve efficiency. Although significant progress has been made in designing hypoallergenic agents for AIT, the challenge in clinical translation is to determine the appropriate dose and duration of treatment to induce long-term immune tolerance.},
}

Humans
*Food Hypersensitivity/therapy/immunology
*Allergens/immunology/chemistry/genetics
*Desensitization, Immunologic/methods
Animals
*Epitopes, T-Lymphocyte/immunology
*Epitopes, B-Lymphocyte/immunology
*Epitopes/immunology
Computational Biology
Epitope Mapping

@article {pmid40196448,
year = {2025},
author = {Rotstein, NM and Cohen, ZD and Welborn, A and Zbozinek, TD and Akre, S and Jones, KG and Null, KE and Pontanares, J and Sanchez, KL and Flanagan, DC and Halavi, SE and Kittle, E and McClay, MG and Bui, AAT and Narr, KL and Welsh, RC and Craske, MG and Kuhn, TP},
title = {Investigating low intensity focused ultrasound pulsation in anhedonic depression-A randomized controlled trial.},
journal = {Frontiers in human neuroscience},
volume = {19},
number = {},
pages = {1478534},
pmid = {40196448},
issn = {1662-5161},
abstract = {INTRODUCTION: Anhedonic depression is a subtype of depression characterized by deficits in reward processing. This subtype of depression is associated with higher suicide risk and longer depressive episodes, underscoring the importance of effective treatments. Anhedonia has also been found to correlate with alterations in activity in several subcortical regions, including the caudate head and nucleus accumbens. Low intensity focused ultrasound pulsation (LIFUP) is an emerging technology that enables non-invasive stimulation of these subcortical regions, which were previously only accessible with surgically-implanted electrodes.

METHODS: This double-blinded, sham-controlled study aims to investigate the effects of LIFUP to the left caudate head and right nucleus accumbens in participants with anhedonic depression. Participants in this protocol will undergo three sessions of LIFUP over the span of 5-9 days. To investigate LIFUP-related changes, this 7-week protocol collects continuous digital phenotyping data, an array of self-report measures of depression, anhedonia, and other psychopathology, and magnetic resonance imaging (MRI) before and after the LIFUP intervention. Primary self-report outcome measures include Ecological Momentary Assessment, the Positive Valence Systems Scale, and the Patient Health Questionnaire. Primary imaging measures include magnetic resonance spectroscopy and functional MRI during reward-based tasks and at rest. Digital phenotyping data is collected with an Apple Watch and participants' personal iPhones throughout the study, and includes information about sleep, heart rate, and physical activity.

DISCUSSION: This study is the first to investigate the effects of LIFUP to the caudate head or nucleus accumbens in depressed subjects. Furthermore, the data collected for this protocol covers a wide array of potentially affected modalities. As a result, this protocol will help to elucidate potential impacts of LIFUP in individuals with anhedonic depression.},
}

@article {pmid39218423,
year = {2025},
author = {Morris, JS},
title = {Tracking vaccine effectiveness in an evolving pandemic, countering misleading hot takes and epidemiologic fallacies.},
journal = {American journal of epidemiology},
volume = {194},
number = {4},
pages = {898-907},
doi = {10.1093/aje/kwae280},
pmid = {39218423},
issn = {1476-6256},
mesh = {Humans ; *COVID-19 Vaccines/immunology ; *Vaccine Efficacy ; *COVID-19/prevention & control/epidemiology ; *Pandemics/prevention & control ; SARS-CoV-2/immunology ; Social Media ; Bias ; },
abstract = {With the emergence of Omicron during the pandemic and the establishment of antibody waning over time, vaccine effectiveness, especially against infection, declined sharply from the original levels seen after the initial rollout. However, studies have demonstrated that they still provided substantial protection vs severe/fatal disease even with Omicron and after waning. Social media has been rife with reports claiming vaccines provided no benefit and some even claiming they made things worse, often driven by simple presentations of raw observational data using erroneous arguments involving epidemiologic fallacies including the base rate fallacy, Simpson's paradox, and the ecological fallacy and ignoring the extensive bias especially from confounding that is an inherent feature of these data. Similar fallacious arguments have been made by some in promoting vaccination policies, as well. Generally, vaccine effectiveness cannot be accurately estimated from raw population summaries but instead require rigorous, careful studies using epidemiologic designs and statistical analysis tools attempting to adjust for key confounders and sources of bias. This article summarizes what aggregated evidence across studies reveals about effectiveness of the mRNA vaccines as the pandemic has evolved, chronologically summarized with emerging variants and highlighting some of the fallacies and flawed arguments feeding social media-based claims that have obscured society's collective understanding.},
}

Humans
*COVID-19 Vaccines/immunology
*Vaccine Efficacy
*COVID-19/prevention & control/epidemiology
*Pandemics/prevention & control
SARS-CoV-2/immunology
Social Media
Bias

@article {pmid40186616,
year = {2025},
author = {Chen, L and Guo, Y and López-Güell, K and Ma, J and Dong, Y and Xie, J and Alhambra, DP},
title = {Immunity Debt for Seasonal Influenza After the COVID-19 Pandemic and as a Result of Nonpharmaceutical Interventions: An Ecological Analysis and Cohort Study.},
journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
volume = {},
number = {},
pages = {e2410513},
doi = {10.1002/advs.202410513},
pmid = {40186616},
issn = {2198-3844},
support = {82373593//National Natural Science Foundation of China/ ; },
abstract = {Non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic significantly reduced influenza transmission. This study explores the hypothesis of "immunity debt" which suggests increased vulnerability to influenza following reduced exposure during the pandemic. World Health Organization aggregated data on influenza from 116 countries and its association with NPI intensity as measured by the COVID-19 Stringency Index is analyzed. Where individual-level data available (France, the United Kingdom, Spain, Italy, Belgium, and Romania), the analyses of influenza monthly rates in six European countries (France, the United Kingdom, Spain, Italy, Belgium, and Romania) are replicated. The results indicate globally a 46.3% (95%CI: 15.79-70.78%) reduction in influenza cases during COVID-19 restrictions in the winter season, followed by a 131.7% (95%CI: 34.95-255.78%) increase in the first postrelaxation winter and a 161.2% (95%CI: 31.88-382.16%) increase in the summer as compared to the predicted level based on historical influenza epidemic trends. In addition, a positive association between the Stringency Index and post-relaxation influenza surge is observed globally (R[2] = 0.14-0.17) and replicated regionally. The findings support the population immunity debt hypothesis for influenza and call for proactive preparations against its consequences in future pandemics.},
}

@article {pmid39689860,
year = {2025},
author = {Wu, Z and Huang, Z and Tang, N and Wang, K and Bian, C and Li, D and Kuraki, V and Schmid, F},
title = {Research on Sports Injury Rehabilitation Detection Based on IoT Models for Digital Health Care.},
journal = {Big data},
volume = {13},
number = {2},
pages = {144-160},
doi = {10.1089/big.2023.0134},
pmid = {39689860},
issn = {2167-647X},
mesh = {Humans ; *Internet of Things ; *Athletic Injuries/rehabilitation/diagnosis ; Delivery of Health Care ; Telemedicine ; Digital Health ; },
abstract = {Physical therapists specializing in sports rehabilitation detection help injured athletes recover from their wounds and avoid further harm. Sports rehabilitators treat not just commonplace sports injuries but also work-related musculoskeletal injuries, discomfort, and disorders. Sensor-equipped Internet of Things (IoT) monitors the real-time location of medical equipment such as scooters, cardioverters, nebulizer treatments, oxygenation pumps, or other monitor gear. Analysis of medicine deployment across sites is possible in real time. Health care delivery based on digital technology to improve access, affordability, and sustainability of medical treatment is known as digital health care. The challenging characteristics of such sports injury rehabilitation for digital health care are playing position, game strategies, and cybersecurity. Hence, in this research, health care IoT-enabled body area networks (HIoT-BAN) have been designed to improve sports injury rehabilitation detection for digital health care. The health care sector may benefit significantly from IoT adoption since it allows for enhanced patient safety; health care investment management includes controlling the hospital's pharmaceutical stock and monitoring the heat and humidity levels. Digital health describes a group of programmers made to aid health care delivery, whether by assisting with clinical decision-making or streamlining back-end operations in health care institutions. A HIoT-BAN effectively predicts the rise in sports injury rehabilitation detection with faster digital health care based on IoT. The research concludes that the HIoT-BAN effectively indicates sports injury rehabilitation detection for digital health care. The experimental analysis of HIoT-BAN outperforms the IoT method in terms of performance, accuracy, prediction ratio, and mean square error rate.},
}

Humans
*Internet of Things
*Athletic Injuries/rehabilitation/diagnosis
Delivery of Health Care
Telemedicine
Digital Health

@article {pmid40185844,
year = {2025},
author = {Amin, NU and Islam, F and Umar, M and Muhammad, W and Rahman, SU and Gaafar, AZ and Shah, TA and Dauelbait, M and Bourhia, M},
title = {Evaluation of crop phenology using remote sensing and decision support system for agrotechnology transfer.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {11582},
pmid = {40185844},
issn = {2045-2322},
mesh = {*Remote Sensing Technology/methods ; *Crops, Agricultural/growth & development ; Biomass ; *Agriculture/methods ; *Decision Support Techniques ; Plant Leaves/growth & development ; Seasons ; },
abstract = {The decision support system for agro-technology transfer (DSSAT) is a worldwide crop modeling platform used for crops growth, yield, leaf area index (LAI), and biomass estimation under varying climatic, soil and management conditions. This study integrates DSSAT with satellite remote sensing (RS) data to estimates canopy state variables like LAI and biomass. For LAI estimation, Moderate Resolution Imaging Spectroradiometer (MODIS) product (MCD15A3H for LAI and MOD17A2 / MOD17A3 products for biomass) are used. Field data for Sheikhupura district is provided by National Agriculture Research Council (NARC) and used for the calibration and validation of the model. The results indicate strong agreement between the DSSAT and RS derived estimates. Correlation coefficients (R[2]) for LAI varied from 0.82 to 0.90, while for biomass ranged from 0.92 to 0.99 over two farms and two growing seasons (2012-2014). The index of agreement (D-index) ranged from 0.79 to 0.96 across the two farms and two growing seasons (2012-2014) affirming the model's durability. However, the biomass estimated from RS data is underestimated due to saturation phenomenon in the optical RS. The performance metrics, comprising the coefficient of residual mass (CRM) and normalized root mean square error (nRMSE), further substantiate the approach utilized. This study will help decision and policymakers and researchers to apply geospatial techniques for the sustainable agriculture practices.},
}

*Remote Sensing Technology/methods
*Crops, Agricultural/growth & development
Biomass
*Agriculture/methods
*Decision Support Techniques
Plant Leaves/growth & development
Seasons

@article {pmid40181527,
year = {2025},
author = {Mills, MB and Shenkin, A and Wilkes, P and Disney, M and Page, S and Berrio, JC and Kaduk, J and Malhi, Y and Robert, R and Nilus, R and Riutta, T},
title = {Investigating the accuracy of tropical woody stem CO2 efflux estimates: scaling methods, and vertical and diel variation.},
journal = {The New phytologist},
volume = {},
number = {},
pages = {},
doi = {10.1111/nph.70122},
pmid = {40181527},
issn = {1469-8137},
support = {CA20118//European Cooperation in Science and Technology/ ; PRA 11.23//Royal Geographical Society/ ; NE/P011780/1//Natural Environment Research Council/ ; NE/Y006216/1//National Centre for Earth Observation/ ; NE/S007350/1//Central England NERC Training Alliance/ ; },
abstract = {Stem CO2 efflux (EA) significantly contributes to autotrophic and ecosystem respiration in tropical forests, but field methodologies often introduce biases and uncertainty. This study evaluates these biases and their impact on scaling EA at the stand-level. Diel and vertical patterns of EA were investigated, along with the accuracy of estimating stem surface area from allometric equations vs terrestrial light dection and ranging (LiDAR) scanning (TLS) in Maliau Basin Conservation Area, Sabah, Malaysian Borneo. Diel EA exhibited no uniform pattern due to inter-tree variability, but results suggest measuring EA before 15:00 h. EA was significantly higher on buttresses and above the first major branching point, but vertical variations in EA did not impact stand-level EA when stem surface area was accurately estimated. Allometric equations underestimated total stem surface area by c. 40% compared with TLS, but applying a site-specific correction factor yielded a similar stand-level EA and total stem surface area to TLS. This study provides guidance for measuring EA in the field and suggests that measuring at one time point and one height along the stem can produce accurate results if conducted using the correct time frame and if stem surface area is accurately estimated.},
}

@article {pmid40180992,
year = {2025},
author = {González, AL and Merder, J and Andraczek, K and Brose, U and Filipiak, M and Harpole, WS and Hillebrand, H and Jackson, MC and Jochum, M and Leroux, SJ and Nessel, MP and Onstein, RE and Paseka, R and Perry, GLW and Rugenski, A and Sitters, J and Sperfeld, E and Striebel, M and Zandona, E and Aymes, JC and Blanckaert, A and Bluhm, SL and Doi, H and Eisenhauer, N and Farjalla, VF and Hood, J and Kratina, P and Labonne, J and Lovelock, CE and Moody, EK and Mozsár, A and Nash, L and Pollierer, MM and Potapov, A and Romero, GQ and Roussel, JM and Scheu, S and Scheunemann, N and Seeber, J and Steinwandter, M and Susanti, WI and Tiunov, A and Dézerald, O},
title = {StoichLife: A Global Dataset of Plant and Animal Elemental Content.},
journal = {Scientific data},
volume = {12},
number = {1},
pages = {569},
pmid = {40180992},
issn = {2052-4463},
support = {DFG HI848/26-2//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; FOR 5000//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; DFG 493345801//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; FZT 118, 202548816//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; FZT 118, 202548816//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; RGPIN-2020-04132//Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology)/ ; 310119/2018-9//Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development)/ ; 310119/2018-9//Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development)/ ; NAF\R2\180791//Royal Society/ ; DP0986179//Department of Education and Training | Australian Research Council (ARC)/ ; DP160103669//Department of Education and Training | Australian Research Council (ARC)/ ; 22-14-00363)//Russian Science Foundation (RSF)/ ; },
mesh = {*Plants/chemistry ; Animals ; Ecosystem ; Phosphorus/analysis ; Nitrogen/analysis ; Carbon/analysis ; },
abstract = {The elemental content of life is a key trait shaping ecology and evolution, yet organismal stoichiometry has largely been studied on a case-by-case basis. This limitation has hindered our ability to identify broad patterns and mechanisms across taxa and ecosystems. To address this, we present StoichLife, a global dataset of 28,049 records from 5,876 species spanning terrestrial, freshwater, and marine realms. Compiled from published and unpublished sources, StoichLife documents elemental content and stoichiometric ratios (%C, %N, %P, C:N, C:P, and N:P) for individual plants and animals. The dataset is standardized and, where available, includes information on taxonomy, habitat, body mass (for animals), geography, and environmental conditions such as temperature, solar radiation, and nutrient availability. By providing an unprecedented breadth of organismal stoichiometry, StoichLife enables the exploration of global patterns, ecological and evolutionary drivers, and context-dependent variations. This resource advances our understanding of the chemical makeup of life and its responses to environmental change, supporting progress in ecological stoichiometry and related fields.},
}

*Plants/chemistry
Animals
Ecosystem
Phosphorus/analysis
Nitrogen/analysis
Carbon/analysis

@article {pmid39936183,
year = {2025},
author = {Brait, N and Hackl, T and Lequime, S},
title = {detectEVE: Fast, Sensitive and Precise Detection of Endogenous Viral Elements in Genomic Data.},
journal = {Molecular ecology resources},
volume = {25},
number = {4},
pages = {e14083},
doi = {10.1111/1755-0998.14083},
pmid = {39936183},
issn = {1755-0998},
mesh = {*Computational Biology/methods ; *Genomics/methods ; *Software ; Genome, Viral ; *Viruses/genetics ; Sensitivity and Specificity ; },
abstract = {Endogenous viral elements (EVEs) are fragments of viral genomic material embedded within the host genome. Retroviruses contribute to the majority of EVEs because of their genomic integration during their life cycle; however, the latter can also arise from non-retroviral RNA or DNA viruses, then collectively known as non-retroviral (nr) EVEs. Detecting nrEVEs poses challenges because of their sequence and genomic structural diversity, contributing to the scarcity of specific tools designed for nrEVEs detection. Here, we introduce detectEVE, a user-friendly and open-source tool designed for the accurate identification of nrEVEs in genomic assemblies. detectEVE deviates from other nrEVE detection pipelines, which usually classify sequences in a more rigid manner as either virus-associated or not. Instead, we implemented a scaling system assigning confidence scores to hits in protein sequence similarity searches, using bit score distributions and search hints related to various viral characteristics, allowing for higher sensitivity and specificity. Our benchmarking shows that detectEVE is computationally efficient and accurate, as well as considerably faster than existing approaches, because of its resource-efficient parallel execution. Our tool can help to fill current gaps in both host-associated fields and virus-related studies. This includes (i) enhancing genome annotations with metadata for EVE loci, (ii) conducting large-scale paleo-virological studies to explore deep viral evolutionary histories, and (iii) aiding in the identification of actively expressed EVEs in transcriptomic data, reducing the risk of misinterpretations between exogenous viruses and EVEs.},
}

*Computational Biology/methods
*Genomics/methods
*Software
Genome, Viral
*Viruses/genetics
Sensitivity and Specificity

@article {pmid39925235,
year = {2025},
author = {Shi, T and Gao, Z and Zhang, Y and Rausher, MD and Chen, J},
title = {A Strategy of Assessing Gene Copy Number Differentiation Between Populations Using Ultra-Fast De Novo Assembly of Next-Generation Sequencing Data.},
journal = {Molecular ecology resources},
volume = {25},
number = {4},
pages = {e14080},
doi = {10.1111/1755-0998.14080},
pmid = {39925235},
issn = {1755-0998},
support = {31570220//National Natural Science Foundation of China/ ; 31870208//National Natural Science Foundation of China/ ; 32170240//National Natural Science Foundation of China/ ; KFJ-BRP-007-009//Biological Resources Program, CAS/ ; },
mesh = {*High-Throughput Nucleotide Sequencing/methods ; *DNA Copy Number Variations ; *Computational Biology/methods ; *Genetics, Population/methods ; *Gene Dosage ; Sequence Analysis, DNA/methods ; },
abstract = {Gene duplication and loss play pivotal roles in the evolutionary dynamics of genomes, contributing to species phenotypic diversity and adaptation. However, detecting copy number variations (CNVs) in homoploid populations and newly-diverged species using short reads from next-generation sequencing (NGS) with traditional methods can often be challenging due to uneven read coverage caused by variations in GC content and the presence of repetitive sequences. To address these challenges, we developed a novel pipeline, ST4gCNV, which leverages ultra-fast de novo assemblies of NGS data to detect gene-specific CNVs between populations. The pipeline effectively reduces the variance of read coverage due to technical factors such as GC bias, providing a reliable CNV detection with a minimum sequencing depth of 10. We successfully apply ST4gCNV to the resequencing analysis of homoploid species Nelumbo nucifera and Nelumbo lutea (lotus). We reveal significant CNV-driven differentiation between these species, particularly in genes related to petal colour diversity such as those involved in the anthocyanin pathway. By highlighting the extensive gene duplication and loss events in Nelumbo, our study demonstrates the utility of ST4gCNV in population genomics and underscores its potential of integrating genomic CNV analysis with traditional SNP-based resequencing analysis.},
}

*High-Throughput Nucleotide Sequencing/methods
*DNA Copy Number Variations
*Computational Biology/methods
*Genetics, Population/methods
*Gene Dosage
Sequence Analysis, DNA/methods

@article {pmid39801085,
year = {2025},
author = {Anderson, EC and Giglio, RM and DeSaix, MG and Smyser, TJ},
title = {gscramble: Simulation of Admixed Individuals Without Reuse of Genetic Material.},
journal = {Molecular ecology resources},
volume = {25},
number = {4},
pages = {e14069},
doi = {10.1111/1755-0998.14069},
pmid = {39801085},
issn = {1755-0998},
support = {//National Wildlife Research Center/ ; //Southwest Fisheries Science Center/ ; },
mesh = {*Computer Simulation ; *Computational Biology/methods ; *Genetics, Population/methods ; Genotype ; *Software ; },
abstract = {While a best practice for evaluating the behaviour of genetic clustering algorithms on empirical data is to conduct parallel analyses on simulated data, these types of simulation techniques often involve sampling genetic data with replacement. In this paper we demonstrate that sampling with replacement, especially with large marker sets, inflates the perceived statistical power to correctly assign individuals (or the alleles that they carry) back to source populations-a phenomenon we refer to as resampling-induced, spurious power inflation (RISPI). To address this issue, we present gscramble, a simulation approach in R for creating biologically informed individual genotypes from empirical data that: (1) samples alleles from populations without replacement and (2) segregates alleles based on species-specific recombination rates. This framework makes it possible to simulate admixed individuals in a way that respects the physical linkage between markers on the same chromosome and which does not suffer from RISPI. This is achieved in gscramble by allowing users to specify pedigrees of varying complexity in order to simulate admixed genotypes, segregating and tracking haplotype blocks from different source populations through those pedigrees, and then sampling-using a variety of permutation schemes-alleles from empirical data into those haplotype blocks. We demonstrate the functionality of gscramble with both simulated and empirical data sets and highlight additional uses of the package that users may find valuable.},
}

*Computer Simulation
*Computational Biology/methods
*Genetics, Population/methods
Genotype
*Software

@article {pmid40180917,
year = {2025},
author = {Schmitz, MA and Dimonaco, NJ and Clavel, T and Hitch, TCA},
title = {Lineage-specific microbial protein prediction enables large-scale exploration of protein ecology within the human gut.},
journal = {Nature communications},
volume = {16},
number = {1},
pages = {3204},
pmid = {40180917},
issn = {2041-1723},
support = {460129525//Massachusetts Department of Fish and Game (DFG)/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome/genetics ; Metagenome/genetics ; *Metagenomics/methods ; *Bacterial Proteins/genetics/metabolism ; *Bacteria/genetics/classification/metabolism ; Phylogeny ; Computational Biology/methods ; },
abstract = {Microbes use a range of genetic codes and gene structures, yet these are often ignored during metagenomic analysis. This causes spurious protein predictions, preventing functional assignment which limits our understanding of ecosystems. To resolve this, we developed a lineage-specific gene prediction approach that uses the correct genetic code based on the taxonomic assignment of genetic fragments, removes incomplete protein predictions, and optimises prediction of small proteins. Applied to 9634 metagenomes and 3594 genomes from the human gut, this approach increased the landscape of captured expressed microbial proteins by 78.9%, including previously hidden functional groups. Optimised small protein prediction captured 3,772,658 small protein clusters, which form an improved microbial protein catalogue of the human gut (MiProGut). To enable the ecological study of a protein's prevalence and association with host parameters, we developed InvestiGUT, a tool which integrates both the protein sequences and sample metadata. Accurate prediction of proteins is critical to providing a functional understanding of microbiomes, enhancing our ability to study interactions between microbes and hosts.},
}

Humans
*Gastrointestinal Microbiome/genetics
Metagenome/genetics
*Metagenomics/methods
*Bacterial Proteins/genetics/metabolism
*Bacteria/genetics/classification/metabolism
Phylogeny
Computational Biology/methods

@article {pmid40179423,
year = {2025},
author = {Dejeante, R and Valeix, M and Chamaillé-Jammes, S},
title = {Do Mixed-Species Groups Travel as One? An Investigation on Large African Herbivores Monitored Using Animal-Borne Video Collars.},
journal = {The American naturalist},
volume = {205},
number = {4},
pages = {451-458},
doi = {10.1086/734410},
pmid = {40179423},
issn = {1537-5323},
mesh = {Animals ; Video Recording ; *Herbivory ; *Giraffes/physiology ; *Equidae/physiology ; *Antelopes/physiology ; Social Behavior ; Geographic Information Systems ; Ecosystem ; },
abstract = {AbstractAlthough prey foraging in mixed-species groups benefit from a reduced risk of predation, whether heterospecific groupmates move together in the landscape, and more generally to what extent mixed-species groups remain cohesive over time and space, remains unknown. Here, we used GPS collars with video cameras to investigate the movements of plains zebras (Equus quagga) in mixed-species groups. Blue wildebeest (Connochaetes taurinus), impalas (Aepyceros melampus), and giraffes (Giraffa camelopardalis) commonly form mixed-species groups with zebras in savanna ecosystems. We found that zebras adjust their movement decisions solely on the basis of the presence of giraffes, being more likely to move in zebra-giraffe herds, and this was correlated with a higher cohesion of such groups. Additionally, zebras moving with giraffes spent more time grazing, suggesting that zebras benefit from foraging in the proximity of giraffes. Our results provide new insights into animal movements in mixed-species groups, contributing to a better consideration of mutualism in movement ecology.},
}

Animals
Video Recording
*Herbivory
*Giraffes/physiology
*Equidae/physiology
*Antelopes/physiology
Social Behavior
Geographic Information Systems
Ecosystem

@article {pmid40179162,
year = {2025},
author = {Davín, AA and Woodcroft, BJ and Soo, RM and Morel, B and Murali, R and Schrempf, D and Clark, JW and Álvarez-Carretero, S and Boussau, B and Moody, ERR and Szánthó, LL and Richy, E and Pisani, D and Hemp, J and Fischer, WW and Donoghue, PCJ and Spang, A and Hugenholtz, P and Williams, TA and Szöllősi, GJ},
title = {A geological timescale for bacterial evolution and oxygen adaptation.},
journal = {Science (New York, N.Y.)},
volume = {388},
number = {6742},
pages = {eadp1853},
doi = {10.1126/science.adp1853},
pmid = {40179162},
issn = {1095-9203},
mesh = {*Oxygen/metabolism ; Phylogeny ; *Biological Evolution ; Oxidation-Reduction ; *Bacteria/metabolism/classification/genetics ; Machine Learning ; Photosynthesis ; Adaptation, Physiological ; Cyanobacteria/genetics/metabolism ; },
abstract = {Microbial life has dominated Earth's history but left a sparse fossil record, greatly hindering our understanding of evolution in deep time. However, bacterial metabolism has left signatures in the geochemical record, most conspicuously the Great Oxidation Event (GOE). We combine machine learning and phylogenetic reconciliation to infer ancestral bacterial transitions to aerobic lifestyles, linking them to the GOE to calibrate the bacterial time tree. Extant bacterial phyla trace their diversity to the Archaean and Proterozoic, and bacterial families prior to the Phanerozoic. We infer that most bacterial phyla were ancestrally anaerobic and adopted aerobic lifestyles after the GOE. However, in the cyanobacterial ancestor, aerobic metabolism likely predated the GOE, which may have facilitated the evolution of oxygenic photosynthesis.},
}

*Oxygen/metabolism
Phylogeny
*Biological Evolution
Oxidation-Reduction
*Bacteria/metabolism/classification/genetics
Machine Learning
Photosynthesis
Adaptation, Physiological
Cyanobacteria/genetics/metabolism

@article {pmid40178345,
year = {2025},
author = {Riobueno-Naylor, A and Gomez, I and Quan, S and Hutt Vater, C and Montes, M and Hoskova, B and Lai, BS},
title = {Methods for integrating public datasets: insights from youth disaster mental health research.},
journal = {European journal of psychotraumatology},
volume = {16},
number = {1},
pages = {2481699},
doi = {10.1080/20008066.2025.2481699},
pmid = {40178345},
issn = {2000-8066},
mesh = {Humans ; Adolescent ; *Disasters ; United States/epidemiology ; *Mental Health/statistics & numerical data ; Male ; Female ; *Depression/epidemiology ; *Datasets as Topic ; Databases, Factual ; },
abstract = {Introduction: Weather-related disasters pose significant risks to youth mental health. Exposure to multiple disasters is becoming more common; however, the effects of such exposure remain understudied. This study demonstrates the application of integrative data approaches and FAIR (Findable, Accessible, Interoperable, Reusable) data principles to evaluate the relationship between cumulative disaster exposure and youth depression and suicidality in the United States, taking into account contextual factors across levels of social ecology.Methods: We combined data from five public sources, including the Youth Risk Behavior Surveillance System (YRBS), Federal Emergency Management Agency (FEMA), United States Census Bureau, Center for Homeland Defense and Security School Shooting Safety Compendium, and Global Terrorism Database. The integrative dataset included 415,701 youth from 37 districts across the United States who completed the YRBS between 1999 and 2021. The YRBS served as the core dataset.Results: This data note highlights strategies for harmonizing diverse data formats, addressing geographic and temporal inconsistencies, and validating integrated datasets. Automated data cleaning and visualization techniques enhance accuracy and efficiency. Planning for sensitivity analyses before data cleaning is recommended to improve the data integration process and enhance the robustness of findings.Discussion: This integrative approach demonstrates how leveraging FAIR principles can advance trauma research by facilitating large-scale analyses of complex public health questions. The methods provide a replicable framework for examining population-level impacts of phenomena and highlight opportunities for expanding trauma research.},
}

Humans
Adolescent
*Disasters
United States/epidemiology
*Mental Health/statistics & numerical data
Male
Female
*Depression/epidemiology
*Datasets as Topic
Databases, Factual