{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T03:06:32Z","timestamp":1773025592138,"version":"3.50.1"},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T00:00:00Z","timestamp":1761264000000},"content-version":"vor","delay-in-days":296,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100010023","name":"Natural Science Research of Jiangsu Higher Education Institutions of China","doi-asserted-by":"publisher","award":["24KJD320003"],"award-info":[{"award-number":["24KJD320003"]}],"id":[{"id":"10.13039\/501100010023","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82300438"],"award-info":[{"award-number":["82300438"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Genomics"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:sec>\n                    <jats:title>Backgrounds<\/jats:title>\n                    <jats:p>The mechanisms contributing to diabetic vasculopathy have not been fully understand.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>First, we identified differentially expressed genes (DEGs) of diabetic vasculopathy via GSE13760. Enrichment analysis was conducted. We utilized the cMAP database to identify potential small\u2010molecular drugs targeting diabetic vasculopathy based on upregulated DEGs. Hub genes were extracted from protein\u2013protein interaction (PPI) networks, and their expression and correlation patterns were further evaluated. Key genes implicated in diabetic vasculopathy were determined by integrating three distinct algorithmic approaches. Additionally, we constructed mRNA\u2013miRNA and mRNA\u2013transcription factor (TF) regulatory networks and performed immune infiltration as well as single\u2010cell RNA sequencing (scRNA\u2010seq) analyses. Finally, animal studies were carried out to provide preliminary experimental validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>One hundred thirty\u2010nine DEGs were identified in the comparison between Type 2 diabetes mellitus (T2DM) and control (Con) arterial samples. Then, enrichment analysis revealed that the DEGs were associated with several key pathways, including cytokine\u2013cytokine receptor interaction, regulation of phosphatidylinositol 3\u2010kinase activity, and the TGF\u2010beta signaling pathway. Ten leading small\u2010molecular compounds with therapeutic potential for diabetic vasculopathy were identified. Among the upregulated genes, BMP4 and LEP were selected as key candidates. Regulatory network analyses, including mRNA\u2013miRNA and mRNA\u2013TF interactions, along with immune infiltration profiling, suggested that multiple miRNAs, TFs, and immune cells may collectively influence BMP4 and LEP expression. scRNA\u2010seq further indicated predominant expression of BMP4 within endothelial cells and fibroblasts. Finally, experimental validation in the T2DM mouse model corroborated the expression patterns of these key genes and enrichment findings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Findings indicate that the two upregulated genes, BMP4 and LEP, are implicated in the pathophysiology of diabetic vasculopathy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/ijog\/7850852","type":"journal-article","created":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T14:53:34Z","timestamp":1761317614000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification and Validation of the Key Genes of Diabetic Vasculopathy: Evidence Based on Bioinformatics Analysis and Animal 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