Skip to content

Common Molecular Mechanisms and Candidate Drug Targets in Type 2 Diabetes Mellitus and Atherosclerotic Cardiovascular Disease.

Aug 2026 · Journal of Visualized Experiments · Vol 234 · 0 citations
Medicine

TL;DR

An integrated bioinformatics analysis facilitated the screening of candidate therapeutic targets, mechanisms, and drugs for T2DM and ASCVD, offering new insights into molecular therapies for these conditions.

Abstract

This study examined the mechanisms underlying the comorbidity between type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD), while identifying potential therapeutic targets. Common differentially expressed genes (C-DEGs) between T2DM and ASCVD were extracted from the GSE78721 and GSE12288 datasets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, protein-protein interaction (PPI) network construction, hub gene identification, and Drug-Gene Interaction Database (DGIdb) analysis were conducted. The association between hub C-DEGs and immune-infiltrating cells was analyzed using the CIBERSORT method. Expression levels of hub C-DEGs were quantified through qRT-PCR and Western blot analyses. A total of 32 C-DEGs were identified, comprising 20 upregulated and 12 downregulated genes. C-DEGs were predominantly enriched in key pathways, including viral myocarditis, arrhythmogenic right ventricular cardiomyopathy, hypertrophic cardiomyopathy, and dilated cardiomyopathy. PPI analysis revealed 29 nodes and 39 edges, leading to the identification of eight hub C-DEGs (HSP90B1, PLAU, SLPI, TOP3A, NCF4, PRF1, TUBA1C, and CS) across both datasets. Furthermore, hub C-DEGs (TOP3A, SLPI, NCF4, PRF1, and PLAU) demonstrated significant correlations with immune-infiltrating cell levels. Drugs specifically targeting these hub C-DEGs present promising candidates for the treatment of T2DM and ASCVD. Additionally, the expression of hub C-DEGs at both mRNA and protein levels was validated in patients with T2DM and ASCVD. An integrated bioinformatics analysis facilitated the screening of candidate therapeutic targets, mechanisms, and drugs for T2DM and ASCVD, offering new insights into molecular therapies for these conditions.

View source

Similar papers

Jul 2026

Integrated Bioinformatics and Experimental Validation Reveal Shared Molecular Targets for Diagnosis and Intervention in Type 2 Diabetes Mellitus and Diabetic Nephropathy.

APP, RHEB, FRYL, and SOS1 represent shared molecular signatures of T2DM and DN and may offer potential targets for future mechanistic and therapeutic studies.

Syed Shah Zaman Haider Naqvi, Zhitong Li, Ruixue Duan et al. · 0 citations
Open access Aug 2026

Bioinformatics and experimental studies of atherosclerosis-related endothelial dysfunction genes in renal calculi and exploration of their molecular mechanisms

Novel understandings of the molecular mechanism underlying KS are provided and the foundation for future personalized treatment and drug development is laid for future personalized treatment and drug development.

Aina Li, Chen-Jing Liu, Xiang-Shen Liu et al. · 0 citations
Open access Jul 2026

Aging-driven transcriptional programs in diabetic kidney disease: multi-omics discovery of diagnostic biomarkers and drug-repurposing targets.

This study identified age-related hub genes, constructed a reliable diagnostic signature, and suggested SYK-fostamatinib and APOC3-selexipag as potential drug-repurposing candidates for DKD, which requires further experimental and clinical validation.

Xue Hu, Yingzhuo Li, Yang Wang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.