Comparative transcriptomics reveal stage-dependent parasitic adaptations in the myxozoan Sphaerospora molnari by Monika M. Wiśniewska, Jiří Kyslík, Gema Alama-Bermejo, Alena Lövy, Martin Kolísko, Astrid S. Holzer, Anush Kosakyan

“…Many of these genes are absent in published cnidarian and myxozoan datasets and appear to be specific to S. molnari; they may therefore represent potential innovations enabling Sphaerospora to exploit the host’s blood system. …”
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EHMT2‐mediated R‐loop formation promotes the malignant progression of prostate cancer via activating Aurora B by Yuyang Zhang, Mingqin Su, Yiming Chen, Li Cui, Wei Xia, Renfang Xu, Dong Xue, Xiansheng Zhang, Xingliang Feng

“…Methods Bioinformatic analyses were conducted to identify genes overexpressed in PCa tissues using The Cancer Genome Atlas (TCGA) and GEO datasets. Western blotting and immunohistochemistry assays were applied to determine the expression levels of euchromatic histone lysine methyltransferase 2 (EHMT2), pT232‐Aurora B and Cullin 3 (CUL3). …”
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Needs Assessment and Tailored Training Pilot for Emergency Care Clinicians in the Prehospital Setting in Rwanda by Naz Karim, Jeanne D’Arc Nyinawankusi, Mikaela S. Belsky, Pascal Mugemangango, Zeta Mutabazi, Catalina Gonzalez Marques, Angela Y. Zhang, Janette Baird, Jean Marie Uwitonze, Adam C. Levine

“…Linked prehospital and hospital care datasets allowed for evaluation of patient outcomes and prehospital process indicators that included training skill application, airway intervention, intravenous fluid administration, and glucose administration. …”
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Integrating bulk and single-cell RNA sequencing data: unveiling RNA methylation and autophagy-related signatures in chronic obstructive pulmonary disease patients by Shi-Xia Liao, Lan-Ying Zhang, Ling-Mei Shi, Huai-Yu Hu, Yan-Hui Gu, Ting-Hua Wang, Yao Ouyang, Peng-Peng Sun

“…We analyzed tissue-based bulk RNA sequencing and single-cell RNA sequencing (scRNA-seq) datasets from COPD and non-COPD patients, sourced from the Gene Expression Omnibus (GEO) database. …”
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Comprehensive overview of genotype distribution and prevalence of human papillomavirus in cervical lesions by Yang Liu, Chengquan Zhao, Tiannan Wang, Yuhong Ye, Terrel Jones, Xianxu Zeng

“…The distribution of HR-HPV in severe squamous lesions is complex, involving many HR-HPV genotypes in addition to HPV16, while the distribution of HR-HPV genotypes in endocervical glandular lesions is mainly limited in HPV18 and HPV16.Large datasets from China have identified the three most common HR-HPV genotypes in this population as stratified by diagnostic category: HPV52, HPV16, HPV58 in histologically negative cases and cervical intraepithelial neoplasia 1 (CIN1); HPV16, HPV52, HPV58 in CIN2/3; HPV16, HPV58, HPV52 or HPV18 in squamous cell carcinoma (SCC); HPV16, HPV18 and HPV52 in endocervical adenocarcinoma in situ (AIS), invasive adenocarcinoma, as well as mixed squamous and glandular lesions. …”
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Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of dat... by Yuejing QIAO, Yuhuan LIU, Lijuan TANG, Dongsheng JIANG, Xiaoli LIU, Ze CUI

“…MethodsInformation on 29 721 residents aged 35 – 75 years who were considered at high risk of CVD was collected from the datasets of the CVD Early Detection and Comprehensive Intervention Project, which was conducted in 11 sites in Hebei province from 2018 to 2021. …”
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A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism by Yuanshuo Guo, Jun Wang, Yan Zhong, Tao Wang, Zeyuan Sui

“…We conducted extensive comparative experiments with ten baseline models on three real-world datasets, compared with GSNP model and TCN-GSNP model, the coefficient of determination (R2) of the FATCN-LF-FAGSNP model increases and mean absolute percentage error (MAPE), mean absolute error (MAE) and relative absolute error (RAE) reduce, the LF accuracy (measured by R2) of the proposed hybrid model gets 99.7% in seasonal LF task. …”
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Contribution of cuproptosis and immune-related genes to idiopathic pulmonary fibrosis disease by Chengji Jin, Jia Li, Qiaoyu Li, Lipeng Zhang, Shaomao Zheng, Qiong Feng, Yongjie Li, Yu Zheng, Qiuli Nie, Jin Liang, Jing Wang, Jing Wang

“…Additionally, multiple bioinformatics analyses were employed to identify immune-related biomarkers associated with the diagnosis of IPF, offering valuable insights for future treatment strategies.MethodsFour microarray datasets were selected from the Gene Expression Omnibus (GEO) collection for screening. …”
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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

“…The tiered diagnosis and treatment tool effectively helped doctors assess patients’ conditions and recommend suitable medical institutions based on rehabilitation grading.ConclusionThis study confirmed that ensemble learning methods, particularly XGBoost, outperform single models in classification tasks involving complex datasets. Addressing class imbalance and enhancing feature engineering can further improve model performance. …”
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Effect of Dam Emplacement and Water Level Changes on Sublacustrine Geomorphology and Recent Sedimentation in Jackson Lake, Grand Teton National Park (Wyoming, United States) by Michael M. McGlue, John R. Dilworth, Hillary L. Johnson, Samuel J. Whitehead, J. Ryan Thigpen, Kevin M. Yeager, Edward W. Woolery, Summer J. Brown, Sarah E. Johnson, Cooper S. Cearley, Gillian M. Clark, T. Spencer Dixon, Ryan C. Goldsby, Autumn L. Helfrich, Bailee N. Hodelka, Edward L. Lo, Leandro Domingos-Luz, Nicholas E. Powell, Giliane G. Rasbold, William R. Swanger

“…Here, high-resolution seismic reflection profiles, sediment cores, and historical water level elevation datasets were employed to assess the recent depositional history of Jackson Lake, a dammed glacial lake located adjacent to the Teton fault in western Wyoming (USA). …”
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Using multiomic integration to improve blood biomarkers of major depressive disorder: a case-control studyResearch in context by Amazigh Mokhtari, El Chérif Ibrahim, Arnaud Gloaguen, Claire-Cécile Barrot, David Cohen, Margot Derouin, Hortense Vachon, Guillaume Charbonnier, Béatrice Loriod, Charles Decraene, Ipek Yalcin, Cynthia Marie-Claire, Bruno Etain, Raoul Belzeaux, Andrée Delahaye-Duriez, Pierre-Eric Lutz

“…Importantly, they also demonstrated that performance progressively increased with the number of molecular datasets considered. Interpretation: Informational gain from multiomic integration had already been documented in other medical fields. …”
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AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism by Lucindah N. Fry-Nartey, Cyril Akafia, Ursula S. Nkonu, Spencer B. Baiden, Ignatus Nunana Dorvi, Kwasi Agyenkwa-Mawuli, Odame Agyapong, Claude Fiifi Hayford, Michael D. Wilson, Whelton A. Miller, Samuel K. Kwofie

“…The AdaBoost and decision tree models also excelled with accuracies ranging from 0.981 to 0.992, balanced accuracies between 0.921 and 0.944, and recall scores between 0.845 and 0.891 on both training and test datasets. The XGBoost model was deployed as AICpred and was used to screen compounds that have been reported to have positive effects on mitigating the hyperinflammation-associated cytokine storm, which is a key factor in COVID-19. …”
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Sex and outcomes of patients with microsatellite instability-high and BRAF V600E mutated metastatic colorectal cancer receiving immune checkpoint inhibitors by Michael Hoffmeister, Hermann Brenner, Chiara Cremolini, Sara Lonardi, Filippo Pietrantonio, Julien Taieb, David Tougeron, Robyn L Ward, Marco Vitellaro, Thierry André, Pierre Laurent-Puig, Jitendra Jonnagaddala, Francesca Bergamo, Raghav Sundar, Claire Gallois, Michael J Overman, Jakob Nikolas Kather, Lisa Salvatore, Romain Cohen, Rossana Intini, Priya Jayachandran, Miriam Koopman, Javier Ros, Marwan Fakih, Vincenzo Nasca, Giacomo Mazzoli, Jeanine M L Roodhart, Filippo Ghelardi, Elena Elez, Durgesh Wankhede, Marta Ligero, Joseph Zhao, Koen Zwart, Jeroen Derksen, Nicholas Hawkins, Javier Carmona

“…Finally, we explored two public microarray and RNA-seq datasets from patients with non-metastatic or metastatic MSI-H CRC to gain translational insights on the association between sex, BRAF status and immune contextures/ICI efficacy.Results Although no differences were observed between females and males either overall or in the BRAF wild-type cohort, male sex was associated with inferior progression-free survival (PFS) and overall survival (OS) in the BRAF mutated cohort (in multivariable models, HR for PFS: 1.79, 95% CI: 1.13 to 2.83, p=0.014, and for OS: 2.33, 95% CI: 1.36 to 3.98, p=0.002). …”
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Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 by G. Di Virgilio, G. Di Virgilio, F. Ji, F. Ji, E. Tam, J. P. Evans, J. P. Evans, J. Kala, J. Andrys, C. Thomas, D. Choudhury, C. Rocha, Y. Li, M. L. Riley

“…This evaluation shows that NARCliM2.0 ERA5 RCMs provide valuable reference simulations for upcoming CMIP6-forced downscaling over CORDEX-Australasia and are informative datasets for climate impact studies. Using a subset of these RCMs for simulating CMIP6-forced climate projections over CORDEX-Australasia and/or at convection-permitting scales could yield tangible benefits in simulating regional climate.…”
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Disulfidptosis-related gene signatures as prognostic biomarkers and predictors of immunotherapy response in HNSCC by Haotian Qin, Haotian Qin, Juan Xu, Yaohang Yue, Yaohang Yue, Meiling Chen, Zheng Zhang, Panpan Xu, Yan Zheng, Hui Zeng, Jian Weng, Jian Weng, Jun Yang, Fei Yu

“…The model’s predictive capability is confirmed using external validation cohorts from GEO datasets and clinical tissue samples. The role of DSTN in HNSCC is further validated through gene knockout experiments.ResultsWe identified four valuable genes (SLC3A2, NUBPL, ACTB, DSTN) and constructed a prognostic model, along with identifying two DRG-related subtypes. …”
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Identification and validation of a novel autoantibody biomarker panel for differential diagnosis of pancreatic ductal adenocarcinoma by Metoboroghene O. Mowoe, Metoboroghene O. Mowoe, Hisham Allam, Joshua Nqada, Marc Bernon, Karan Gandhi, Sean Burmeister, Urda Kotze, Miriam Kahn, Christo Kloppers, Suba Dharshanan, Zafirah Azween, Pamela Maimela, Paul Townsend, Eduard Jonas, Jonathan M. Blackburn, Jonathan M. Blackburn

“…Identified AAbs were validated in silico using public immunohistochemistry datasets and experimentally using a custom PDAC protein microarray comprising the 11 optimal AAb biomarker panel. …”
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β-Catenin mediated TAM phenotype promotes pancreatic cancer metastasis via the OSM/STAT3/LOXL2 axis by Yijia Zhang, Xinya Zhu, Liyuan Chen, Tianyu Gao, Guang Chen, Jin Zhu, Guoyu Wang, Daiying Zuo

“…However, the molecular mechanisms by which tumor-associated macrophages (TAMs) promote PDAC progression, particularly the role of β-catenin signaling in regulating TAM phenotype and function, remain incompletely understood.Initially, we performed comprehensive analyses of RNA-seq and single-cell RNA-seq (scRNA-seq) datasets to investigate OSM and LOXL2 expression patterns in PDAC. …”
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Relationship between pharmacotherapy for major depressive disorder and healthcare utilisation in British Columbia, Canada: a retrospective population-based cohort by Sonya Cressman, Louisa Edwards, Kimberlyn McGrail, Stirling Bryan, Alison Hoens, Rohit Vijh, Sandra Peterson, Zeina Waheed, Mary Bunka, Nick Pang, Shahzad Ghanbarian, Gavin Wong, Linda Riches, Jehannine Austin

“…Objectives To describe the population that meets the criteria for major depressive disorder (MDD) in British Columbia (BC), compare patterns of healthcare utilisation between those with MDD who are and are not prescribed pharmacotherapy, and assess these relationships in models that control for potential confounding variables.Design We used a population cross-sectional study design among a cohort of individuals living with MDD and examined the relationship between pharmacotherapy and healthcare utilisation between 2019 and 2020 using linked billing and administrative data.Setting This study identified individuals with MDD using a validated case definition of International Classification of Diseases (ICD) codes in BC, Canada.Participants The final study cohort included 549 029 adult participants who met the MDD case definition.Explanatory variable Explanatory variable was the use of prescription antidepressant medication during the study period, based on BC PharmaNet data.Covariates Covariates include sociodemographic characteristics (age, sex, urban/rural residence, neighbourhood income quintile and comorbidities).Primary outcome measure Primary outcome measure was healthcare utilisation (outpatient physician visits, emergency department (ED) visits and hospitalisations).Results We stratified our analysis based on whether study participants were classified as ‘recently incident’ or ‘actively prevalent’. …”
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Soil Organic Carbon Estimation and Transfer Framework in Agricultural Areas Based on Spatiotemporal Constraint Strategy Combined with Active and Passive Remote Sensing by Jiaxin Qian, Jie Yang, Weidong Sun, Lingli Zhao, Lei Shi, Hongtao Shi, Lu Liao, Chaoya Dang, Qi Dou

“…The performance of five advanced machine learning regression (MLR) models for SOC modeling was assessed, focusing on spatial interpolation accuracy and cross-spatial transfer accuracy, using two field observation datasets for modeling and validation. Results indicate that the SOC estimation accuracy when using MS data alone is comparable to that of using TB data alone, and both perform slightly better than SAR data. …”
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A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care dataResearch in context by Olivia Murrin, Ninon Mounier, Bethany Voller, Linus Tata, Carlos Gallego-Moll, Albert Roso-Llorach, Lucía A. Carrasco-Ribelles, Chris Fox, Louise M. Allan, Ruby M. Woodward, Xiaoran Liang, Jose M. Valderas, Sara M. Khalid, Frank Dudbridge, Sally E. Lamb, Mary Mancini, Leon Farmer, Kate Boddy, Jack Bowden, David Melzer, Timothy M. Frayling, Jane A.H. Masoli, Luke C. Pilling, Concepción Violán, João Delgado

“…Summary: Background: Multimorbidity, the presence of two or more conditions in one person, is common but studies are often limited to observational data and single datasets. We address this gap by integrating large-scale primary-care and genetic data from multiple studies to interrogate multimorbidity patterns and producing digital resources to support future research. …”
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