{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T06:31:00Z","timestamp":1782801060189,"version":"3.54.5"},"reference-count":44,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T00:00:00Z","timestamp":1728259200000},"content-version":"vor","delay-in-days":6,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background and Aims<\/jats:title><jats:p>Gestational diabetes mellitus (GDM) is characterized by glucose intolerance that occurs during pregnancy. This study aimed to identify key ubiquitination\u2010related genes associated with GDM pathogenesis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Microarray data from GSE154377 was analyzed to identify differentially expressed genes (DEGs) in GDM vs normal pregnancy samples. Weighted gene co\u2010expression network analysis was performed on ubiquitination\u2010related genes. Functional enrichment, protein\u2010protein interaction network, and TF\u2010mRNA\u2010miRNA interaction network analyses were conducted on differentially expressed ubiquitination\u2010related genes (DE\u2010URGs).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We identified 2337 DEGs and 65 DE\u2010URGs in GDM. Functional enrichment analysis of the 65 DE\u2010URGs revealed involvement in protein ubiquitination and ubiquitin\u2010dependent catabolic processes. Protein\u2010protein interaction network analysis identified 8 hub genes, including MAP1LC3C, USP26, USP6, UBE2U, USP2, USP43, UCHL1, and USP44. ROC curve analysis showed these hub genes have high diagnostic accuracy for GDM (AUC\u2009&gt;\u20090.6). The TF\u2010mRNA\u2010miRNA interaction network suggested USP2 and UCHL1 may be key ubiquitination genes in GDM.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>In conclusion, this study contributes to our understanding of the molecular landscape of GDM by uncovering key ubiquitination\u2010related genes. These findings may serve as a foundation for further investigations, offering potential biomarkers and therapeutic targets for clinical applications in GDM management.<\/jats:p><\/jats:sec>","DOI":"10.1002\/hsr2.70115","type":"journal-article","created":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T12:47:17Z","timestamp":1728305237000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Identification of key ubiquitination\u2010related genes in gestational diabetes mellitus: A bioinformatics\u2010driven study"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6821-2294","authenticated-orcid":false,"given":"Yuheng","family":"Dai","sequence":"first","affiliation":[{"name":"Department of Obstetrics Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital) Hangzhou People's Republic of 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