Identification of Metabolism-Related Hub Genes in Heart Failure via Comprehensive Transcriptome Analysis.

IF 2.8 3区生物学 Q2 GENETICS & HEREDITY

Genes Pub Date : 2025-03-03 DOI:10.3390/genes16030305

Hanlin Peng, Boyang Lv, Junbao Du, Yaqian Huang, Qinghua Cui, Chunmei Cui, Hongfang Jin

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引用次数: 0

Abstract

Background: Metabolic dysfunction is a key driver of heart failure (HF) progression. Identifying metabolic hub genes in HF may reveal novel therapeutic targets.

Methods: Transcriptomic datasets from HF patients (GEO database) and metabolism-related genes (PathCards) were analyzed. Differentially expressed genes (DEGs) were intersected with metabolism-related genes, followed by the application of the LASSO, Random Forest, and XGBoost algorithms to prioritize hub genes. Candidate genes were validated via WGCNA, an HF mouse model, and plasma metabolomics. Diagnostic performance and metabolic associations were assessed using ROC analysis and ssGSEA.

Results: We identified 1115 HF-associated DEGs (701 upregulated, 414 downregulated), with 119 linked to metabolism. The machine learning algorithms prioritized five genes, including SDC2, which was also validated using WGCNA and the mouse HF model. SDC2 mRNA and protein expression levels were markedly elevated in HF and demonstrated strong diagnostic accuracy. ssGSEA revealed the expression of SDC2 was correlated with dysregulated metabolic pathways, including fatty acid biosynthesis and glycerolipid metabolism, which are potentially associated with metabolic alterations in HF.

Conclusions: SDC2 emerges as a central regulator bridging metabolic dysfunction and HF pathogenesis, showing potential as a diagnostic biomarker and therapeutic target.

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来源期刊

Genes GENETICS & HEREDITY-

CiteScore

5.20

自引率

5.70%

发文量

1975

审稿时长

22.94 days

期刊介绍： Genes (ISSN 2073-4425) is an international, peer-reviewed open access journal which provides an advanced forum for studies related to genes, genetics and genomics. It publishes reviews, research articles, communications and technical notes. There is no restriction on the length of the papers and we encourage scientists to publish their results in as much detail as possible.