Research Paper Volume 15, Issue 24 pp 14830—14844
Bioinformatics-based identification and validation of hub genes associated with aging in patients with coronary artery disease
- 1 Department of Obstetrics, The Affiliated Tai’an City Central Hospital of Qingdao University, Tai’an 271000, Shandong, China
- 2 Department of Cardiology, The Affiliated Tai’an City Central Hospital of Qingdao University, Tai’an 271000, Shandong, China
- 3 Department of Geriatrics, The Affiliated Tai’an City Central Hospital of Qingdao University, Tai’an 271000, Shandong, China
- 4 Department of Internal Medicine, The Fourth People's Hospital of Tai’an City, Tai’an 271000, Shandong, China
- 5 Department of Obstetrics, Tai’an Maternal and Child Health Care Hospital, Tai’an 271000, Shandong, China
Received: May 17, 2023 Accepted: November 2, 2023 Published: December 14, 2023
https://doi.org/10.18632/aging.205309How to Cite
Copyright: © 2023 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Coronary artery disease (CAD) is the most common aging-related disease in adults. We used bioinformatics analysis to study genes associated with aging in patients with CAD. The microarray data of the GSE12288 dataset were downloaded from the Gene Expression Omnibus database to obtain 934 CAD-associated differentially expressed genes. By overlaying them with aging-related genes in the Aging Atlas database, 33 differentially expressed aging-related genes (DEARGs) were identified. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that the 33 DEARGs were mainly enriched in cell adhesion and activation, Th17 and Th1/Th2 cell differentiation, and longevity regulation pathways. Hub genes were further screened using multiple algorithms of Cytoscape software and validation set GSE71226. Clinical samples were then collected, and the expression of hub genes in whole blood was detected by real-time quantitative polymerase chain reaction, enzyme-linked immunosorbent assay, and western blot at the transcription and translation levels. Finally, HSP90AA1 and CEBPA were identified as hub genes. The results of this study suggest that HSP90AA1 and CEBPA are closely related to CAD. These findings provide a theoretical basis for the association between aging effectors and CAD, and indicate that these genes may be promising biomarkers for the diagnosis and treatment of CAD.