LMNA公司
扩张型心肌病
心肌病
转录组
心力衰竭
基因表达谱
生物
计算生物学
基因
默默林
基因表达
生物信息学
基因签名
生物标志物
蛋白质组学
医学
心肌炎
代谢组学
下调和上调
内科学
体内
转基因
转基因小鼠
免疫印迹
病理
心脏病
作者
Jia Liu,Chong Liu,Jingjia Yu,Kai Xu
摘要
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 Lmna E82K 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 Lmna E82K 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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