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Weighted Gene Co-Expression Network Analysis Reveals Key Genes and Potential Drugs in Abdominal Aortic Aneurysm
| Content Provider | MDPI |
|---|---|
| Author | Kan, Ke-Jia Guo, Feng Zhu, Lei Pallavi, Prama Sigl, Martin Keese, Michael |
| Copyright Year | 2021 |
| Description | Abdominal aortic aneurysm (AAA) is a prevalent aortic disease that causes high mortality due to asymptomatic gradual expansion and sudden rupture. The underlying molecular mechanisms and effective pharmaceutical therapy for preventing AAA progression have not been fully identified. In this study, we identified the key modules and hub genes involved in AAA growth from the GSE17901 dataset in the Gene Expression Omnibus (GEO) database through the weighted gene co-expression network analysis (WGCNA). Key genes were further selected and validated in the mouse dataset (GSE12591) and human datasets (GSE7084, GSE47472, and GSE57691). Finally, we predicted drug candidates targeting key genes using the Drug–Gene Interaction database. Overall, we identified key modules enriched in the mitotic cell cycle, GTPase activity, and several metabolic processes. Seven key genes (CCR5, ADCY5, ADCY3, ACACB, LPIN1, ACSL1, UCP3) related to AAA progression were identified. A total of 35 drugs/compounds targeting the key genes were predicted, which may have the potential to prevent AAA progression. |
| Starting Page | 546 |
| e-ISSN | 22279059 |
| DOI | 10.3390/biomedicines9050546 |
| Journal | Biomedicines |
| Issue Number | 5 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-05-13 |
| Access Restriction | Open |
| Subject Keyword | Biomedicines Biochemical Research Abdominal Aortic Aneurysm Weighted Gene Co-expression Network Key Module Hub Gene Functional Enrichment Drug–gene Prediction |
| Content Type | Text |
| Resource Type | Article |
