ArticleJournal of cardiovascular development and disease2022
Exploring the Role of Obesity in Dilated Cardiomyopathy Based on Bio-informatics Analysis.
Article in Journal of cardiovascular development and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Obesity in Heart Failure: Mechanistic, Diagnostic and Therapeutic Considerations.Cardiac failure review · 2026Review
- The Dual Role of NOX4 in Cardiovascular Diseases: Driver of Oxidative Stress and Mediator of Adaptive Remodeling.Antioxidants (Basel, Switzerland) · 2025Review
- The Impact of Cardio-Renal-Metabolic Profile in Dilated Cardiomyopathy.Current cardiology reports · 2025Review
- Causal association between body mass index and dilated cardiomyopathy: a Mendelian randomization study.Archives of medical science : AMS · 2024Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
(1) Background: Obesity is a major risk factor for cardiovascular disease (CVD), contributing to increasing global disease burdens. Apart from heart failure, coronary artery disease, and arrhythmia, recent research has found that obesity also elevates the risk of dilated cardiomyopathy (DCM). The main purpose of this study was to investigate the underlying biological role of obesity in increasing the risk of DCM. (2) Methods: The datasets GSE120895, GSE19303, and GSE2508 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using GSE120895 for DCM and GSE2508 for obesity, and the findings were compiled to discover the common genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted for the common genes in RStudio. In addition, CIBERSORT was used to obtain the immune cellular composition from DEGs. The key genes were identified in the set of common genes by the least absolute shrinkage and selection operator (LASSO) algorithm, the prognostic risk models of which were verified by receiver operator characteristic (ROC) curves in GSE19303. Finally, Spearman's correlation was used to explore the connections between key genes and immune cells. (3) Results: GO and KEGG pathway enrichment analyses showed that the main enriched terms of the common genes were transforming growth factor-beta (TGF-β), fibrillar collagen, NADPH oxidase activity, and multiple hormone-related signaling pathways. Both obesity and DCM had a disordered immune environment, especially obesity. The key genes
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