ArticleAging2024
Identification of differentially expressed genes to predict the risk of heart failure in older patients with hypertrophic cardiomyopathy.
Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Proteomic profiling identifies molecular subtypes and unveils mechanistic insights into clinical features of hypertrophic cardiomyopathy.Journal of translational medicine · 2026Article
- Early fibrotic gene activation precedes structural remodeling in the heart of cardiac myosin binding protein-C knockout mice.Physiological genomics · 2026Article
- Activation of lymphangiogenesis by platelet as novel therapeutic approaches for liver cirrhosis and portal hypertension.World journal of gastroenterology · 2025Article
- MiR-122-5p inhibits the epithelial mesenchymal transition of liver cancer cells by inducing hiPSCs to differentiate into hepatocyte-like cells.European journal of histochemistry : EJH · 2025Article
- Analysis of serum metabolomics in patients with different types of chronic heart failure.Open medicine (Warsaw, Poland) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimHypertrophic cardiomyopathy (HCM) is a common heart disease. Old people with HCM are at high risk of heart failure (HF). This study aimed to identify differentially expressed genes (DEGs) to evaluate the risk of HF in older patients with HCM.
methodsGSE89714 and GSE116250 were downloaded from Gene Expression Omnibus (GEO) database, and DEGs were identified by using limma R package with
resultsWe identified 124 overlap DEGs from the 2 datasets. PPI network showed that COL1A1, COL3A1, COL1A2, BGN, COL5A1, LUM, TGFB2, FMOD, ASPN, and COL14A1 were the top ten genes related to HCM and HF compared with control. Functional and pathway analyses showed that the overlap genes were mainly related to ECM-receptor interaction, ECM organization, Focal adhesion, PI3K-Akt signaling, TGF-beta signaling, and Platelet activation signaling and aggregation. Among the overlap genes, COL5A1 and LUM were significantly upregulated, while TGFB2, FMOD, ASPN, and COL14A1 were significantly downregulated in HF dataset compared with HCM dataset.
conclusionsBioinformatics-based analysis revealed potential genes associated with HCM and HF, which could be utilized to evaluate the risk of HF in older patients with HCM.
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