ArticleJournal of thoracic disease2022
Differential expression and significance of peripheral blood genes in coronary artery heart disease.
Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Identification of myocardial contractility-related genes as regenerative targets and diagnostic biomarkers in coronary artery disease.Regenerative therapy · 2026Article
- Effects of Blood Pressure and Antihypertensive Drugs on Rheumatoid Arthritis: A Mendelian Randomization, Network Pharmacology, and Experimental Validation.International journal of general medicine · 2026Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
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Abstract
Background: The peripheral blood gene expression profile of patients with coronary artery disease (CAD) has not been fully resolved. The aim of this study was to further analyze the peripheral blood transcriptome information of CAD patients and to uncover key genes and regulatory mechanisms in the pathogenesis and disease progression of CAD. Methods: The Gene Expression Omnibus (GEO) database was applied to screen out differentially expressed genes (DEGs) in the peripheral blood of CAD patients, and the DEGs were subjected to Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). The core genes were screened by GO, KEGG, and GSEA, and the gene-gene interaction (GGI) and protein-protein interaction (PPI) networks of DEGs were constructed. The GeneCards database was used to obtain CAD-related genes, and the GEO dataset was used to obtain intersecting genes. The intersecting genes were analyzed for bioenrichment and prediction of potential therapeutic agents, and predictive models were constructed for the intersecting genes. Finally, immune infiltrating cells from the GEO dataset were analyzed. Results: A total of 79 DEGs were screened in the peripheral blood of CAD patients, of which three were autophagy-related genes. Biological enrichment analysis showed that the DEGs were associated with metabolic pathways, and vascular smooth muscle contraction and were mainly involved the MAPK signaling pathway, metabolic pathways, and the PI3K-Akt signaling pathway. The Conclusions: The peripheral blood of CAD patients screened by the GEO dataset was significantly different from that of the healthy population, and the DEGs and intersecting genes were involved in numerous key biological processes that may be involved in the development and progression of CAD and could serve as its regulatory sites and therapeutic drug targets.
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