| Autor: |
Li Xie, Han Xiao, Maoyu Zhao, Li Xu, Si Tang, Youzhu Qiu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-15 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2261 |
| DOI: |
10.1186/s12872-024-04266-3 |
| Popis: |
Abstract Background Type II diabetes mellitus (T2DM) is strongly linked with a heightened risk of coronary artery disease (CAD). Exploring biological targets common to T2DM and CAD is essential for CAD intervention strategies. Methods RNA transcriptome data from CAD and T2DM patients and single-cell transcriptional data from myocardial tissue of CAD patients were used for bioinformatics analysis. Differential analysis and Weighted Gene Co-expression Network Analysis (WGCNA) were conducted to identify hub genes associated with the CAD Index (CADi) in these cells. We then intersected these genes with differentially expressed genes in the T2DM dataset to validate the key gene FGF7. Additional analyses included immune analysis, drug sensitivity, competing endogenous RNA (ceRNA) networks, and smooth muscle cell -related functional analysis. Results An abnormally high proportion of smooth muscle cells was observed in CAD tissues compared to normal cardiomyocytes. The gene FGF7, which encodes the keratinocyte growth factor 7 protein, showed increased expression in both CAD and T2DM and was significantly positively correlated with the CADi (correlation = 0.24, p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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