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  1. 7661

    Prevalence of Respiratory Syncytial Virus Infection in Hospitalized COPD Patients in Spain Between 2018–2022 by Rosa María Gómez-García, Javier De-Miguel-Díez, Ana López-de-Andrés, Valentín Hernández-Barrera, Ana Jimenez-Sierra, Natividad Cuadrado-Corrales, José J. Zamorano-León, David Carabantes-Alarcón, Andrés Bodas-Pinedo, Rodrigo Jiménez-García

    Published 2025-01-01
    “…Methods: The data used were obtained from the Spanish Hospital Discharge Database. We selected subjects aged ≥40 years diagnosed with COPD, admitted to the hospital from 1 January 2018 to 31 December 2022. …”
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  2. 7662

    N6-methyladenosine RNA modification regulates the transcription of SLC7A11 through KDM6B and GATA3 to modulate ferroptosis by Haisheng Zhang, Cheng Yi, Jianing Li, Yunqing Lu, Haoran Wang, Lijun Tao, Jiawang Zhou, Yonghuang Tan, Jiexin Li, Zhuojia Chen, Gholamreza Asadikaram, Jie Cao, Jianxin Peng, Wanglin Li, Junming He, Hongsheng Wang

    Published 2025-01-01
    “…The Cancer Genome Atlas Program (TCGA) database and immunohistochemistry validated the role of the METTL3/SLC7A11 axis in cancer progression. …”
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  3. 7663
  4. 7664

    Shaoyao Gancao decoction alleviates paclitaxel-induced cognitive impairment by activating PTEN/PI3K/AKT pathway to inhibit NETs formation by Xu Ying, Su Yue, Hu Yuwen, Li Xiang, Zhou Ziyan, Yuan Ningning, Ji Xiaowei, Jiang Ruoyu, Wang Wenzhu, Zhang Yafeng, Zhai Guojie, Cheng Xiaolan

    Published 2025-02-01
    “…Finally, Mendelian randomization was performed using genome-wide association analysis data of PTEN and cognitive disorders in OpenGWAS database. Results: Network pharmacological analysis revealed 105 active ingredients in SGD, and identified 124 targets associated with SGD and PICI. …”
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  5. 7665

    Interactions between NAD+ metabolism and immune cell infiltration in ulcerative colitis: subtype identification and development of novel diagnostic models by Linglin Tian, Huiyang Gao, Tian Yao, Tian Yao, Yuhao Chen, Linna Gao, Jingxiang Han, Lanqi Zhu, He Huang, He Huang, He Huang

    Published 2025-02-01
    “…Growing evidence highlights the pivotal role of nicotinamide adenine dinucleotide (NAD+) metabolism in UC pathogenesis, prompting our investigation into the subtype-specific molecular underpinnings and diagnostic potential of NAD+ metabolism-related genes (NMRGs).MethodsTranscriptome data from UC patients and healthy controls were downloaded from the GEO database, specifically GSE75214 and GSE87466. We performed unsupervised clustering based on differentially expressed NAD+ metabolism-related genes (DE-NMRGs) to classify UC cases into distinct subtypes. …”
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  6. 7666

    The associations of physical activity patterns and the triglyceride-glucose index in US adults: a secondary data analysis of NHANES (2007–2018) by JinYe Zhang, YiLin Yang, HaoNan Zheng, BoWen Bai, QianKun Yang, Li Zhang, YuTong Zhao, Jing Luo, Bin Yu

    Published 2025-01-01
    “…Participants with complete data on TyG index, PA patterns, and other covariates from the National Health and Nutrition Examination Survey database (2007–2018) were included in this study. Participant characteristics across PA groups were compared using Rao-Scott chi-squared test or Kruskal–Wallis test. …”
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  7. 7667
  8. 7668

    Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation by Guiling Wu, Guiling Wu, Sihui Wu, Sihui Wu, Tian Xiong, Tian Xiong, Tian Xiong, You Yao, You Yao, Yu Qiu, Yu Qiu, Yu Qiu, Liheng Meng, Cuihong Chen, Xi Yang, Xi Yang, Xi Yang, Xinghuan Liang, Yingfen Qin

    Published 2025-01-01
    “…Therefore, we aimed to identify potential biomarkers for diagnosing both conditions.MethodsWe performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. …”
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  9. 7669

    Rationale and design of a multicentre randomised controlled trial on circulating tumour DNA-guided neoadjuvant treatment strategy for locally advanced rectal cancer (CINTS-R) by Bin Wu, Yi Xiao, Xiao Zhang, Tao Xu, Qian Liu, Wei Fu, Yang An, Yongheng Li, Guole Lin, Huadan Xue, Guoju Wu, Jiaolin Zhou, Hongwei Yao, Zhenjun Wang, Weijie Chen, Junyang Lu, Guannan Zhang, Xiaoyuan Qiu

    Published 2025-02-01
    “…All data will be collected and stored in a specially designed database. The results of our trial will be disseminated through peer-reviewed publications and presented at national and international academic conferences.Trial registration number This trial is registered on ClinicalTrials.gov and the registration ID is NCT05601505.…”
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  10. 7670

    Causal role of plasma liposome in diabetic retinopathy: mendelian randomization (MR) study by Kai Yin, Lu Ding, Xueyan Li, Yuqi Zhang, Siyu Song, Liyuan Cao, Ruixue Deng, Min Li, Zirui Li, Qinjing Xia, Daqing Zhao, Xiangyan Li, Zeyu Wang

    Published 2025-02-01
    “…Methods Summary statistics for lipid levels and DR were obtained from the Genome-Wide Association Studies (GWAS) Catalog database and the FinnGen Consortium, respectively. …”
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  11. 7671

    Pan-cancer analysis of the transcriptional expression of histone acetylation enzymes in solid tumors defines a new classification scheme for gliomas by Junhao Zhang, Lingbo Li, Aiwei Tang, Chucheng Wang, Yupeng Wang, Yongqi Hu, Guangting He, Guangting He, Wangjun Liao, Wangjun Liao, Wangjun Liao, Rui Zhou

    Published 2025-01-01
    “…Moreover, based on the Connectivity Map database analysis and experimental verification, we identified several pan-HDAC inhibitors that could serve as sensitizers for temozolomide therapy in AC-GV patients, such as panobinostat and scriptaid. …”
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  12. 7672
  13. 7673

    Astaxanthin mitigates doxorubicin-induced cardiotoxicity via inhibiting ferroptosis and autophagy: a study based on bioinformatic analysis and in vivo/vitro experiments by Bowen Yin, Jingyi Ren, Xuanyi Liu, Yadong Zhang, Jinshi Zuo, Rui Wen, Huanting Pei, Miaomiao Lu, Siqi Zhu, Zhenao Zhang, Ziyi Wang, Yanyi Zhai, Yuxia Ma

    Published 2025-01-01
    “…This has substantial practical significance for the clinical application of DOX.MethodsBioinformatic analyses were conducted using transcriptomic data from the gene expression omnibus (GEO) database to identify key mechanisms underlying DIC. …”
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  14. 7674

    Identification of serotype O3b and high-risk clone ST37 of Klebsiella pneumoniae revealed by comparative genomic analysis by Sivaraman Gopalan Krishnan, Sudha Sajeev, Visnuvinayagam Sivam, Raja Swaminathan T., Rakshit Ojha, Bibek Ranjan Shome, Mark Holmes, Thanigaivel Sundaram, Ramesh M. D., Saranya Vinayagam, Suseela Meesala, Tabarak Malik, Tabarak Malik, Pavan Kumar Dara

    Published 2025-01-01
    “…Furthermore, genomes of non-human origin that were submitted from India to the NCBI database were downloaded and included in the comparative analysis.ResultsThe findings showed that many antibiotic-resistant genes (ARGs) are prominent, including acrD, BaeR, cpxA, mdtB, mdtC, CRP, H-NS, KpnE, KpnF, KpnG, KpnH, acrA, acrB, marA, ramB, oqxA, oqxB, LptD, and emrR. …”
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  15. 7675

    Heart disease in pregnancy and adverse outcomes: an umbrella review by Jiani Zhang, Jiani Zhang, Yuxin Ren, Yuxin Ren, Bingjie Li, Qi Cao, Qi Cao, Xiaodong Wang, Xiaodong Wang, Haiyan Yu, Haiyan Yu

    Published 2025-02-01
    “…BackgroundHeart disease in pregnancy encompasses both congenital heart disease and maternal-acquired heart disease, both of which are associated with an increased risk of various adverse outcomes for mothers and their offspring.ObjectiveThe objective of the study was to review and summarize the evidence regarding the association between heart disease in pregnancy and adverse outcomes in mothers and their offspring.Data sourcesA comprehensive search was conducted in Embase, PubMed, Web of Science, and the Cochrane Database of Systematic Reviews from inception to March 2024. …”
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  16. 7676

    Comprehensive Analysis of m5C RNA Methylation Regulator Genes in Clear Cell Renal Cell Carcinoma by Jiajin Wu, Chao Hou, Yuhao Wang, Zhongyuan Wang, Pu Li, Zengjun Wang

    Published 2021-01-01
    “…Based on The Cancer Genome Atlas (TCGA) database, the expression patterns of twelve m5C regulators and matched clinicopathological characteristics were downloaded and analyzed. …”
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  17. 7677

    Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi by Ngatmari Ngatmari, Muhammad Bisri Musthafa, Cahya Rahmad, Rosa Andrie Asmara, Faisal Rahutomo

    Published 2020-05-01
    “…Abstract The Higher Education Database (PDDIKTI) is a data storage system managed by the Center for Data and Information (Pusdatin) of the Ministry of Research and Technology and Higher Education. …”
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  18. 7678

    Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

    Published 2025-01-01
    “…Diverse programmed cell death (PCD) pathways are closely linked to the pathogenesis of OA, but few studies have explored the relationship between PCD-related genes and synovitis.Methods: The transcriptome expression profiles of OA synovial samples were obtained from the Gene Expression Omnibus (GEO) database. Using machine learning algorithms, Hub PCD-related differentially expressed genes (Hub PCD-DEGs) were identified. …”
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  19. 7679

    Identification of multiple complications as independent risk factors associated with 1-, 3-, and 5-year mortality in hepatitis B-associated cirrhosis patients by Duo Shen, Ling Sha, Ling Yang, Xuefeng Gu

    Published 2025-02-01
    “…This study utilized bootstrap resampling for internal validation and employed the Medical Information Mart for Intensive Care IV (MIMIC-IV) database for external validation. Results The GBDT model exhibited the highest area under the curve (AUC) and emerged as the optimal model for predicting the occurrence of multiple complications. …”
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  20. 7680

    29 m6A-RNA Methylation (Epitranscriptomic) Regulators Are Regulated in 41 Diseases including Atherosclerosis and Tumors Potentially via ROS Regulation – 102 Transcriptomic Dataset... by Ming Liu, Keman Xu, Fatma Saaoud, Ying Shao, Ruijing Zhang, Yifan Lu, Yu Sun, Charles Drummer, Li Li, Sheng Wu, Satya P. Kunapuli, Gerard J. Criner, Jianxin Sun, Huimin Shan, Xiaohua Jiang, Hong Wang, Xiaofeng Yang

    Published 2022-01-01
    “…We performed a database mining on 102 transcriptomic datasets for the expressions of 29 m6A-RNA methylation (epitranscriptomic) regulators (m6A-RMRs) in 41 diseases and cancers and made significant findings: (1) a few m6A-RMRs were upregulated; and most m6A-RMRs were downregulated in sepsis, acute respiratory distress syndrome, shock, and trauma; (2) half of 29 m6A-RMRs were downregulated in atherosclerosis; (3) inflammatory bowel disease and rheumatoid arthritis modulated m6A-RMRs more than lupus and psoriasis; (4) some organ failures shared eight upregulated m6A-RMRs; end-stage renal failure (ESRF) downregulated 85% of m6A-RMRs; (5) Middle-East respiratory syndrome coronavirus infections modulated m6A-RMRs the most among viral infections; (6) proinflammatory oxPAPC modulated m6A-RMRs more than DAMP stimulation including LPS and oxLDL; (7) upregulated m6A-RMRs were more than downregulated m6A-RMRs in cancer types; five types of cancers upregulated ≥10 m6A-RMRs; (8) proinflammatory M1 macrophages upregulated seven m6A-RMRs; (9) 86% of m6A-RMRs were differentially expressed in the six clusters of CD4+Foxp3+ immunosuppressive Treg, and 8 out of 12 Treg signatures regulated m6A-RMRs; (10) immune checkpoint receptors TIM3, TIGIT, PD-L2, and CTLA4 modulated m6A-RMRs, and inhibition of CD40 upregulated m6A-RMRs; (11) cytokines and interferons modulated m6A-RMRs; (12) NF-κB and JAK/STAT pathways upregulated more than downregulated m6A-RMRs whereas TP53, PTEN, and APC did the opposite; (13) methionine-homocysteine-methyl cycle enzyme Mthfd1 downregulated more than upregulated m6A-RMRs; (14) m6A writer RBM15 and one m6A eraser FTO, H3K4 methyltransferase MLL1, and DNA methyltransferase, DNMT1, regulated m6A-RMRs; and (15) 40 out of 165 ROS regulators were modulated by m6A eraser FTO and two m6A writers METTL3 and WTAP. …”
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