Identification and validation of efferocytosis-related biomarkers for the diagnosis of metabolic dysfunction-associated steatohepatitis based on bioinformatics analysis and machine... by Chenghui Cao, Chenghui Cao, Wenwu Liu, Xin Guo, Shuwei Weng, Yang Chen, Yonghong Luo, Shuai Wang, Botao Zhu, Botao Zhu, Yuxuan Liu, Yuxuan Liu, Daoquan Peng

“…This analysis was followed by a series of in-depth investigations, including protein–protein interaction (PPI), correlation analysis, and functional enrichment analysis, to uncover the molecular interactions and pathways at play. …”
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CD9 regulates proliferation, invasion, migration and radioresistance of esophageal squamous cell carcinoma by activating AKT/GSK3β signaling pathway by Liubing Hou, Liubing Hou, Zengyao Hao, Ge Zhang, Jiayuan Li, Yu Wang, Xiaoying Xue, Xiaoying Xue, Huandi Zhou, Huandi Zhou, Huandi Zhou

“…CD9 was overexpressed in Eca109 cells (with low baseline expression) and knocked down in TE13 cells (with high endogenous expression). Functional assays, including proliferation, migration, invasion, and radioresistance tests, were conducted. …”
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Barriers to and facilitators of clinician acceptance and use of artificial intelligence in healthcare settings: a scoping review by Alex Federman, Yufei Wang, Jalayne J Arias, Catherine E A Scipion, Margaret A Manchester

“…Objectives This study aimed to systematically map the evidence and identify patterns of barriers and facilitators to clinician artificial intelligence (AI) acceptance and use across the types of AI healthcare application and levels of income of geographic distribution of clinician practice.Design This scoping review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guideline.Data sources PubMed and Embase were searched from 2010 to 21 August 2023.Eligibility criteria This scoping review included both empirical and conceptual studies published in peer-reviewed journals that focused on barriers to and facilitators of clinician acceptance and use of AI in healthcare facilities. …”
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Identification of DNA Methylation Differences in Pituitary Tissues of Sichuan White Geese Using Whole-Genome Bisulfite Sequencing (WGBS) by Lin Ma, Xianzhi Zhao, Guoda A, Tongtong Song, Meng Wu, Zhihao Yan, Min Xiao, Wenbo Jiang, Yixiao Gao, Haiwei Wang, Zhuping Chen, Keshan Zhang, Jiajia Xue, Yi Luo, Chao Wang, Youhui Xie, Ying Chen, Guangliang Gao, Qigui Wang

“…Integrated GO and KEGG enrichment analysis conducted to explore the role of regulatory networks of epigenetic modification on egg-laying traits in Sichuan White geese identified multiple metabolic pathways associated with egg-laying traits (promoting egg transport, ovulation, and yolk protein synthesis and secretion), thus providing a basis for subsequent functional verification.…”
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Genome-wide identification of the regulatory network of mitogen-activated protein kinase signaling cascades gene families in Hevea Brasiliensis by Xiaojuan Huang, Manman Sun, Xiaoyu Du, Lin Quan, Jinquan Chao, Xiaomin Deng, Hongze Liao

“…Nevertheless, systematic analysis on the MPK cascade genes in rubber trees remains unexplored. Results We conducted a comprehensive identification of the MPK cascade gene family of Hevea brasiliensis, identifying a total of 20 HbMPKs, 13 HbMPKKs, and 167 HbMAPKKKs genes. …”
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Assessing the prognostic and therapeutic value of cuproptosis-related genes in colon adenocarcinoma patients by Zhanhui Ye, Yixian Song, Mengqing Zhu, Fuying Zheng, Wenjie Qin, Wenjie Qin, Xue Li, Pei Wang, Zihua Li, Kequan Chen, Aimin Li

“…Using the Weighted Gene Co-expression Network Analysis (WGCNA) method, we identified the gene module most strongly linked to cuproptosis and conducted functional enrichment analysis to explore the roles of genes within this module in COAD tumorigenesis. …”
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Systematic phenotype and genotype characterization of Moebius syndrome by Bryn D. Webb, Julie A. Jurgens, Narisu Narisu, Zhongyang Zhang, Brenda J. Barry, Carol Van Ryzin, Lori L. Bonnycastle, Wai-Man Chan, Tingfen Yan, Silvio Alessandro Di Gioia, Amy J. Swift, Sarah E. MacKinnon, Darren T. Oystreck, Janet C. Rucker, Tamiesha Frempong, Mary C. Whitman, Edmond J. FitzGibbon, Janice S. Lee, Ke Hao, Caroline Andrews, Monica Erazo, Flavia M. Facio, Sherin Shaaban, Thomas P. Naidich, Peter S. Chines, Tanya J. Lehky, Camilo Toro, Andrea L. Gropman, John A. Butman, Christopher K. Zalewski, Carmen C. Brewer, Audrey Thurm, Joseph Snow, Scott M. Paul, Brian P. Brooks, Carlo Pierpaoli, Caroline D. Robson, David G. Hunter, Francis S. Collins, Ethylin Wang Jabs, Elizabeth C. Engle, Irini Manoli

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Vestibular Atelectasis: A Narrative Review and Our Experience by Andrea Tozzi, Andrea Castellucci, Salvatore Martellucci, Pasquale Malara, Michael Eliezer, Giuseppe Ferrulli, Rosanna Rita Ruberto, Pasquale Brizzi, Enrico Armato, Alessio Marchetti, Daniele Marchioni, Angelo Ghidini, Claudio Moratti

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Altered Expression of Cell Cycle Regulators and Factors Released by Aged Cells in Skeletal Muscle of Patients with Bone Fragility: A Pilot Study on the Potential Role of SIRT1 in M... by Angela Falvino, Roberto Bonanni, Beatrice Gasperini, Ida Cariati, Angela Chiavoghilefu, Amarildo Smakaj, Virginia Veronica Visconti, Annalisa Botta, Riccardo Iundusi, Elena Gasbarra, Virginia Tancredi, Umberto Tarantino

“…<b>Background/Objectives</b>: Cellular aging represents a crucial element in the progression of musculoskeletal diseases, contributing to muscle atrophy, functional decline, and alterations in bone turnover, which promote fragility fractures. …”
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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

“…To improve the explainability of the AI models, Shapley Additive Explanations methods were also conducted.Conclusion: Exploring HF mortality and its patterns related to clinical risk factors by machine learning models can help physicians make appropriate decisions when monitoring HF patients’ health quality in the hospital.Keywords: mortality, risk factor, cardiovascular disease, multivariate statistical analysis, machine learning, artificial intelligence…”
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Identification of single nucleotide polymorphisms (SNPs) associated with heat stress and milk production traits in Chinese holstein cows by Jingyi Xu, Lirong Hu, Jingyang Ning, Fan Zhang, Qing Xu, Yachun Wang

“…Association analyses were conducted between identified SNPs and three HS traits and six milk production traits in a population of 1,160 Chinese Holstein cows. …”
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Brain Activation During Motor Preparation and Execution in Patients with Mild Cognitive Impairment: An fNIRS Study by Hanfei Li, Chenyu Fan, Ke Chen, Hongyu Xie, Guohui Yang, Haozheng Li, Xiangtong Ji, Yi Wu, Meng Li

“…<b data-eusoft-scrollable-element="1">Methods:</b> We investigated the cortical activation pattern of 57 individuals with mild cognitive impairment (MCI) and 67 healthy controls (HCs) using functional near-infrared spectroscopy (fNIRS) during prepared walking (PW) and single walking (SW) tasks. …”
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CLU, FOS, and CXCL8 as diagnostic biomarkers for heart failure progression post-acute myocardial infarction: an integrated RNA-Seq and multi-machine learning study by Jingjing Wei, Peng Yu, Peng Yu, Yucai Hu, Lijie Qiao, Lijie Qiao, Bin Li, Bin Li, Haitao Li, Shiyang Xie, Zhengwei Dong, Aolong Wang, Yilin Zhang, Xinlu Wang, Yongxia Wang, Mingjun Zhu

“…Functional enrichment analysis was used to explore the biological roles of DEGs. …”
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Potential influence of geomagnetic activity on blood pressure statistical fluctuations at mid-magnetic latitudes by Pengzhi He, Chen Li, Minlan Xu, Ruilong Guo, Alexander William Degeling, Timo Pitkänen, Yude Bu, Xiangyun Zheng, Yue Zhang, Xianghong Jia, Anmin Tian, Chenyao Han, Shifeng Wang, Tianlu Chen, Jiangping Fang, Shaowei Sun, Wenlong Liu, Jinbin Cao, Kimmen Quan, Zhiyuan Cong, Dedong Ma, Qiugang Zong, Suiyan Fu, Shutao Yao, Huanhu Zhang, Quanqi Shi

“…Abstract Background Solar activity and the consequent geomagnetic activity (GMA) profoundly influence human biological rhythms and cardiovascular system functions. Although the response of blood pressure (BP) to GMA has attracted considerable attention, it is unclear whether the GMA can have an influence alone and how it occurs. …”
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Transcriptome sequencing and Mendelian randomization analysis identified biomarkers related to neutrophil extracellular traps in diabetic retinopathy by Linlin Hao, Songhong Wang, Lian Zhang, Lian Zhang, Jie Huang, Yue Zhang, Xuejiao Qin

“…Additional analysis, including nomogram construction, gene set enrichment analysis, drug prediction and molecular docking, were performed to investigate the functions and molecular mechanisms of the key genes. …”
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Gait-Based AI Models for Detecting Sarcopenia and Cognitive Decline Using Sensor Fusion by Rocío Aznar-Gimeno, Jose Luis Perez-Lasierra, Pablo Pérez-Lázaro, Irene Bosque-López, Marina Azpíroz-Puente, Pilar Salvo-Ibáñez, Martin Morita-Hernandez, Ana Caren Hernández-Ruiz, Antonio Gómez-Bernal, María de la Vega Rodrigalvarez-Chamarro, José-Víctor Alfaro-Santafé, Rafael del Hoyo-Alonso, Javier Alfaro-Santafé

“…<b>Methods</b>: A cross-sectional case-control study was conducted involving 42 individuals aged 60 years or older. …”
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The effect of dual inflammation on the acute phase clinical outcomes of schizophrenia patients with comorbid COVID-19 by Jiahui Zhu, Jiamin Shao, Peng Wang, Yuan Liu, Gangming Cheng, Qi Zhou, Zhuoran Li, Jiayi Li, Mingqia Wang, Zhuokai Zhang, Xuan Dong, Chuan Shi

“…Then clinical symptoms, cognitive performance, and functional assessments were conducted at recruitment. …”
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Comparative metagenomics highlights the habitat-related diversity in taxonomic composition and metabolic potential of deep-sea sediment microbiota by Rui Lu, Denghui Li, Yang Guo, Zhen Cui, Zhanfei Wei, Guangyi Fan, Weijia Zhang, Yinzhao Wang, Ying Gu, Mo Han, Shanshan Liu, Liang Meng

“…Additionally, we analyzed the metabolic patterns of microbial communities in different deep-sea sediments. …”
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Maize Herbivore-Induced Volatiles Enhance Xenobiotic Detoxification in Larvae of <i>Spodoptera frugiperda</i> and <i>S. litura</i> by Peng Wang, Qiyue Zeng, Yi Zhao, Xiaomin Sun, Yongqiang Han, Rensen Zeng, Yuanyuan Song, Dongmei Chen, Yibin Lin

“…In addition, the expression of four genes encoding uridine diphosphate (UDP)-glycosyltransferases (<i>UGT33F28</i>, <i>UGT40L8</i>) and P450s (<i>CYP4d8</i>, <i>CYP4V2</i>) showed similar induction patterns in <i>S. frugiperda.</i> Cis-3-hexen-1-ol, an important component in maize HIPVs, also showed the same functions as maize HIPVs, and its exposure increased larval xenobiotic tolerance and induced the detoxification enzymes and gene expression. …”
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Cisd2 delays atrial aging via a modulation of calcium homeostasis that mitigates atrial myopathy by Chi-Hsiao Yeh, Zhao-Qing Shen, Li-Hsien Chen, Carol Seah, Tsai-Yu Tzeng, Chien-Yi Tung, Wen-Tai Chiu, Cheng-Heng Kao, Ting-Fen Tsai

“…Cisd2 deficiency disrupts Ca²⁺ regulation, leading to elevated cytosolic Ca²⁺, reduced SR Ca²⁺, impaired store-operated calcium entry, and mitochondrial Ca²⁺ overload; these compromise mitochondrial function and attenuate antioxidant capability. Finally, transcriptomic analysis reveals that Cisd2 protects the atrium from metabolic reprogramming and preserves into old age a transcriptomic profile resembling a youthful pattern, thereby safeguarding the atrium from age-related injury. …”
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