高脂肪饮食诱导的代谢性心肌病小鼠心脏的比较蛋白质组学分析

Zong-zhe Jiang, Mingyang Pang, Wei Huang
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摘要

在肥胖或2型糖尿病患者中,脂肪毒性副产物在心肌细胞中的积累导致细胞凋亡和收缩功能障碍,最终导致代谢性心肌病(MC)。然而,潜在的机制仍不清楚。本研究通过比较蛋白质组学分析,评价标准饮食正常小鼠(对照组)和高脂饮食(HFD)诱导的MC小鼠(HFD组)心脏中的差异表达蛋白(DEPs)。我们发现90个dep是对照组独有的,18个dep是HFD组独有的。在对照组特有的90个dep中,只有74个dep在基因本体(GO)数据库中被注释。这些注释的dep涉及114个生物过程,68个分子功能和174个细胞成分。在HFD组独有的18个dep中,只有14个dep在GO数据库中被注释。这些被注释的dep参与了24个生物过程、22个分子功能和6个细胞成分。采用免疫染色和Western blot方法分析对照组和HFD组小鼠心脏中肉碱棕榈酰基转移酶1B (CPT1B)和乙酰辅酶a酰基转移酶2 (ACAA2)两种脂肪酸代谢相关酶的蛋白水平。结果显示,HFD组小鼠心脏CPT1B和ACAA2蛋白水平升高,与蛋白质组学分析一致。我们的研究结果揭示了与MC进展相关的差异表达蛋白质组,为MC提供了一系列潜在的治疗靶点。
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Comparative proteomic analysis of hearts from mice with high-fat diet-induced metabolic cardiomyopathy
In patients with obesity or type 2 diabetes, the accumulation of lipotoxic by-products in cardiomyocytes leads to apoptosis and contractile dysfunction, eventually resulting in metabolic cardiomyopathy (MC). However, the underlying mechanisms remain unclear. Inb this study, a comparative proteome analysis was conducted to evaluate the differentially expressed proteins (DEPs) in the hearts of normal mice on standard diet (control group) and of high-fat diet (HFD)-induced MC mice (HFD group). We identified 90 DEPs unique to the control group and 18 DEPs unique to the HFD group. In 90 DEPs unique to the control group, only 74 DEPs were annotated in the gene ontology (GO) database. These annotated DEPs are involved in 114 biological processes, 68 molecular functions, and 174 cellular components. In 18 DEPs unique to the HFD group, only 14 DEPs were annotated in the GO database. These annotated DEPs are involved in 24 biological processes, 22 molecular functions, and six cellular components. Protein levels of two fatty acid metabolism-related enzymes, carnitine palmitoyltransferase 1B (CPT1B) and acetyl-CoA acyltransferase 2 (ACAA2), in the hearts of the mice in control group and HFD group were analyzed by immunostaining and Western blot. The results showed that the protein levels of CPT1B and ACAA2 were elevated in hearts of the mice in HFD group, which were consistent with the proteomic analysis. Our results reveal the differentially expressed proteome related to the progression of MC, providing a series of potential therapeutic targets for MC.
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