ArticleFrontiers in cardiovascular medicine2020
Comprehensive Identification of Key Genes Involved in Development of Diabetes Mellitus-Related Atherogenesis Using Weighted Gene Correlation Network Analysis.
Article in Frontiers in cardiovascular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 24 citations in OpenAlex.
- A Road Map to Understanding Cardiovascular Disease in Diabetes: From the AHA Strategically Focused Research Network in Cardiometabolic Health and Type 2 Diabetes.Circulation research · 2026Review
- Association of serum coiled-coil domain containing protein 11 levels with coronary artery disease.Frontiers in cardiovascular medicine · 2026Article
- Impact of clinical pharmacist-led pharmacotherapy on long-term outcomes in cardiovascular in-patients: A three-year cohort study.Medicine · 2025Observational
- Transcriptome associated with single-cell analysis reveal the role of S-palmitoylation in coronary artery disease.Scientific reports · 2025Article
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- Causal network perturbation analysis identifies known and novel type-2 diabetes driver genes.bioRxiv : the preprint server for biology · 2024Article
- Rare Mutations in CCDC7 Contribute to Early-Onset Preeclampsia by Inhibiting Trophoblast Migration and Invasion.Journal of personalized medicine · 2024Article
- The role of Phafin proteins in cell signaling pathways and diseases.Open life sciences · 2024Review
- Local administration of liposomal-based Plekhf1 gene therapy attenuates pulmonary fibrosis by modulating macrophage polarization.Science China. Life sciences · 2023Article
- WDR54 exerts oncogenic roles in T-cell acute lymphoblastic leukemia.Cancer science · 2023Article
- Genome-Wide Identification of lncRNA and mRNA for Diagnosing Type 2 Diabetes in Saudi Arabia.Pharmacogenomics and personalized medicine · 2023Article
- Machine learning and bioinformatics to identify 8 autophagy-related biomarkers and construct gene regulatory networks in dilated cardiomyopathy.Scientific reports · 2022Article
- Article
- RUNX1 and CCL3 in Diabetes Mellitus-Related Coronary Artery Disease: A Bioinformatics Analysis.International journal of general medicine · 2022Article
- Coiled-Coil Domain-Containing (CCDC) Proteins: Functional Roles in General and Male Reproductive Physiology.Reproductive sciences (Thousand Oaks, Calif.) · 2021Review
- Mutations in Hsp90 Cochaperones Result in a Wide Variety of Human Disorders.Frontiers in molecular biosciences · 2021Review
- Understanding Competitive Endogenous RNA Network Mechanism in Type 1 Diabetes Mellitus Using Computational and Bioinformatics Approaches.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- Identification of an miRNA Regulatory Network and Candidate Markers for Ischemic Stroke Related to Diabetes.International journal of general medicine · 2021Article
- Integrative Identification of Hub Genes Associated With Immune Cells in Atrial Fibrillation Using Weighted Gene Correlation Network Analysis.Frontiers in cardiovascular medicine · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronary heart disease (CHD) is common in patients with diabetes mellitus (DM), however, the relevant mechanism remains elusive. The whole blood gene expression profiles of healthy control, patients with DM, patients with DM and CHD (DMCHD) were used to performed weight gene correlation network analysis (WGCNA) to identify the gene modules associated with DM-related atherogenesis. The candidate module was significantly involved in immune- and T cell activity-related biological process. GSEA results suggested that lysosome and apoptosis were enriched in DM and DMCHD samples. The protein-protein-KEGG pathway network may reveal the potential transcriptional regulatory network involving in DM-related atherosclerosis. Nineteen genes (RTKN, DCP1B, PDZD4, CACNA2D2, TSEN54, PVRIG, PLEKHF1, NKG7, ZAP70, NUDCD3, SLAMF6, CCDC107, NAG6, ZDHHC14, EOMES, VIL2, WDR54, DMAP1, and PMPCA) were considered as DM-related atherogenesis genes (DRAGs). The Gene Set Variation Analysis (GSVA) score of the DRAG set gradually increased in the control, DM and DMCHD. ROC curve analysis showed that ZAP70, TSEN54, and PLEKHF1 may be potential blood circulation biomarkers for DMCHD in patients with DM. In conclusion, we identified nineteen hallmark genes involving in DM-related atherogenesis and constructed a potential transcriptional regulatory network involving in DM-related atherosclerosis.
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