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Identification and Validation of Novel Lactylation-Related Gene Signature in Dilated Cardiomyopathy
Jia Liu1, Chong Liu1, Jingjia Yu1
1Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Insights
Dilated cardiomyopathy (DCM) involves metabolic changes like lactylation. Researchers identified DDX39A, SPR, and HNRNPC as key biomarkers for diagnosing DCM and understanding its link to oxidative stress.
Area of Science:
- Cardiovascular Research
- Metabolic Pathways
- Molecular Biology
Background:
- Dilated cardiomyopathy (DCM) is a progressive heart disorder with few treatment options.
- Metabolic reprogramming, including lactylation, is implicated in heart failure but poorly understood in DCM.
- Global burden of cardiomyopathy and myocarditis is rising.
Purpose of the Study:
- To investigate the role of lactylation in DCM pathogenesis.
- To identify novel diagnostic biomarkers for DCM.
- To explore the link between lactylation, metabolic dysfunction, and cardiac dysfunction in DCM.
Main Methods:
- Global burden analysis using GBD data.
- Transcriptomic profiling of DCM samples (GSE120895, GSE5406).
- Bioinformatic analyses including WGCNA, differential gene expression, and LASSO regression.
- Validation in an LmnaE82K transgenic mouse model.
Main Results:
- Identified 1988 differentially expressed genes (DEGs) in DCM.
- Found 11 DEGs overlapping with lactylation-related genes and WGCNA modules.
- DDX39A, SPR, and HNRNPC were identified as core diagnostic biomarkers for DCM.
- Confirmed upregulation of these genes and elevated lactate/protein lactylation in a mouse model.
- Demonstrated a link between lactylation, oxidative stress, and cardiac dysfunction.
Conclusions:
- DDX39A, SPR, and HNRNPC are novel lactylation-associated biomarkers for DCM.
- Lactate-driven protein lactylation contributes to metabolic dysfunction and cardiac dysfunction in DCM.
- These findings provide potential molecular targets for DCM diagnosis and treatment.
Abstract:
Dilated cardiomyopathy (DCM) is a progressive myocardial disorder with limited therapeutic options. Recent studies suggest that metabolic reprogramming, including lactate accumulation and protein lactylation, contributes to heart failure pathogenesis, but their roles in DCM remain poorly defined. We analyzed the global burden of cardiomyopathy and myocarditis using GBD data and performed transcriptomic profiling using GSE120895 and GSE5406 datasets. Weighted gene co-expression network analysis (WGCNA), differential gene expression, and known lactylation-related genes (LRGs) were integrated to identify key targets. LASSO regression was applied to construct a diagnostic model. Validation was conducted in an LmnaE82K transgenic mouse model using qRT-PCR, Western blot analysis, immunofluorescence, and biochemical assays. Global analysis showed the rising age-standardized prevalence of cardiomyopathy and myocarditis by 2021. Bioinformatics revealed 1988 DEGs in DCM, 11 of which overlapped with LRGs and WGCNA modules. LASSO modeling identified DDX39A, SPR, and HNRNPC as core diagnostic biomarkers. In vivo validation confirmed upregulation of these genes in LmnaE82K mice. Elevated lactate and protein lactylation levels were detected, alongside increased NEFA, MDA, and oxidative stress markers, implicating lactylation in metabolic dysfunction. We identify DDX39A, SPR, and HNRNPC as novel lactylation-associated biomarkers of DCM and reveal a pathophysiological link between lactate-driven protein lactylation, oxidative stress, and cardiac dysfunction. These findings offer new molecular targets for DCM diagnosis and intervention.
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