Metabolic Processes are Potential Biological Processes Distinguishing Nonischemic Dilated Cardiomyopathy from Ischemic Cardiomyopathy: A Clue from Serum Proteomics.
{"title":"Metabolic Processes are Potential Biological Processes Distinguishing Nonischemic Dilated Cardiomyopathy from Ischemic Cardiomyopathy: A Clue from Serum Proteomics.","authors":"Guangyong Huang, Zhiqi Huang, Yunling Peng, Yuehai Wang, Weitao Liu, Yuzeng Xue, Wenbo Yang","doi":"10.2147/PGPM.S323379","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Ischemic cardiomyopathy (ICM) and nonischemic dilated cardiomyopathy (DCM) are the two most common causes of heart failure. However, our understanding of the specific proteins and biological processes distinguishing DCM from ICM remains insufficient.</p><p><strong>Materials and methods: </strong>The proteomics analyses were performed on serum samples from ICM (n=5), DCM (n=5), and control (n=5) groups. Proteomics and bioinformatics analyses, including weighted gene co-expression network analysis (WGCNA) and gene set enrichment analysis (GSEA), were performed to identify the hub circulating proteins and the hub biological processes in ICM and DCM.</p><p><strong>Results: </strong>The analysis of differentially expressed proteins and WGCNA identified the hub circulating proteins in ICM (GAPDH, CLSTN1, VH3, CP, and ST13) and DCM (one downregulated protein, FGG; 18 upregulated proteins, including HEL-S-276, IGK, ALDOB, HIST1H2BJ, HEL-S-125m, RPLP2, EL52, NCAM1, P4HB, HEL-S-99n, HIST1H4L, HIST2H3PS2, F8, ERP70, SORD, PSMA3, PSMB6, and PSMA6). The mRNA expression of the heart specimens from GDS651 validated that ALDOB, GAPDH, RPLP2, and IGK had good abilities to distinguish DCM from ICM. In addition, GSEA results showed that cell proliferation and differentiation were the hub biological processes related to ICM, while metabolic processes and cell signaling transduction were the hub biological processes associated with DCM.</p><p><strong>Conclusion: </strong>The present study identified five dysregulated hub circulating proteins among ICM patients and 19 dysregulated hub circulating proteins among DCM patients. Cell proliferation and differentiation were significantly enriched in ICM. Metabolic processes were strongly enhanced in DCM and may be used to distinguish DCM from ICM.</p>","PeriodicalId":509088,"journal":{"name":"Pharmacogenomics and Personalized Medicine","volume":" ","pages":"1169-1184"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a9/19/pgpm-14-1169.PMC8453897.pdf","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacogenomics and Personalized Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/PGPM.S323379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Background: Ischemic cardiomyopathy (ICM) and nonischemic dilated cardiomyopathy (DCM) are the two most common causes of heart failure. However, our understanding of the specific proteins and biological processes distinguishing DCM from ICM remains insufficient.
Materials and methods: The proteomics analyses were performed on serum samples from ICM (n=5), DCM (n=5), and control (n=5) groups. Proteomics and bioinformatics analyses, including weighted gene co-expression network analysis (WGCNA) and gene set enrichment analysis (GSEA), were performed to identify the hub circulating proteins and the hub biological processes in ICM and DCM.
Results: The analysis of differentially expressed proteins and WGCNA identified the hub circulating proteins in ICM (GAPDH, CLSTN1, VH3, CP, and ST13) and DCM (one downregulated protein, FGG; 18 upregulated proteins, including HEL-S-276, IGK, ALDOB, HIST1H2BJ, HEL-S-125m, RPLP2, EL52, NCAM1, P4HB, HEL-S-99n, HIST1H4L, HIST2H3PS2, F8, ERP70, SORD, PSMA3, PSMB6, and PSMA6). The mRNA expression of the heart specimens from GDS651 validated that ALDOB, GAPDH, RPLP2, and IGK had good abilities to distinguish DCM from ICM. In addition, GSEA results showed that cell proliferation and differentiation were the hub biological processes related to ICM, while metabolic processes and cell signaling transduction were the hub biological processes associated with DCM.
Conclusion: The present study identified five dysregulated hub circulating proteins among ICM patients and 19 dysregulated hub circulating proteins among DCM patients. Cell proliferation and differentiation were significantly enriched in ICM. Metabolic processes were strongly enhanced in DCM and may be used to distinguish DCM from ICM.
背景:缺血性心肌病(ICM)和非缺血性扩张型心肌病(DCM)是心衰的两种最常见原因。然而,我们对区分DCM和ICM的特定蛋白质和生物学过程的理解仍然不足。材料与方法:对ICM组(n=5)、DCM组(n=5)和对照组(n=5)血清样本进行蛋白质组学分析。通过蛋白质组学和生物信息学分析,包括加权基因共表达网络分析(WGCNA)和基因集富集分析(GSEA),鉴定ICM和DCM的枢纽循环蛋白和枢纽生物过程。结果:差异表达蛋白和WGCNA分析鉴定出ICM中的枢纽循环蛋白(GAPDH、CLSTN1、VH3、CP和ST13)和DCM(1个下调蛋白FGG;18个上调蛋白,包括hell - s -276、IGK、ALDOB、HIST1H2BJ、hell - s -125m、RPLP2、EL52、NCAM1、P4HB、hell - s -99n、HIST1H4L、HIST2H3PS2、F8、ERP70、SORD、PSMA3、PSMB6和PSMA6)。GDS651心脏标本的mRNA表达验证了ALDOB、GAPDH、RPLP2和IGK具有较好的区分DCM和ICM的能力。此外,GSEA结果显示,细胞增殖和分化是与ICM相关的核心生物学过程,而代谢过程和细胞信号转导是与DCM相关的核心生物学过程。结论:本研究在ICM患者中发现了5种中枢循环蛋白异常,在DCM患者中发现了19种中枢循环蛋白异常。细胞增殖和分化在ICM中显著增强。代谢过程在DCM中得到强烈增强,这可能用于区分DCM和ICM。