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Published in: Journal of Translational Medicine 1/2022

Open Access 01-12-2022 | Heart Failure | Research

Identification and analysis of mitochondria-related key genes of heart failure

Authors: Haozhen Yu, Mujun Yu, Zhuang Li, Enhu Zhang, Heng Ma

Published in: Journal of Translational Medicine | Issue 1/2022

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Abstract

Mitochondria-induced cell death is a vital mechanism of heart failure (HF). Thus, identification of mitochondria-related genes (Mito-RGs) based on transcriptome sequencing data of HF might provide novel diagnostic markers and therapeutic targets for HF. First, bioinformatics analysis was conducted on the GSE57338, GSE76701, GSE136547, and GSE77399 datasets in the Gene Expression Omnibus. Next, we analyzed HF-Mito differentially expressed genes (DEGs) using the protein–protein interaction (PPI) network for obtaining critical genes and exploring their functions. Subsequently, immune cell scores of the HF and normal groups were compared. The potential alteration mechanisms of the key genes were investigated by constructing a competing endogenous RNA network. Finally, we predicted potential therapeutic agents and validated the expression levels of the key genes. Twenty-three HF-Mito DEGs were acquired in the GSE57338 dataset, and the PPI network obtained four key genes, including IFIT3, XAF1, RSAD2, and MX1. According to gene set enrichment analysis, the key genes showed high enrichment in myogenesis and hypoxia. Immune cell analysis demonstrated that aDCs, B cells, and 20 other immune cell types varied between the HF and normal groups. Moreover, we observed that H19 might affect the expression of IFIT3, AXF1, and RSAD2. PCGEM1 might regulate RSAD2 expression. A total of 515 potential therapeutic drugs targeting the key genes, such as tretinoin, silicon dioxide, and bisphenol A, were acquired. Finally, IFIT3, RSAD2, and MX1 expression increased in HF samples compared with normal samples in the GSE76701 dataset, conforming to the GSE57338 dataset analysis. This work screened four key genes, namely, IFIT3, XAF1, RSAD2, and MX1, which can be further explored in subsequent studies for their specific molecular mechanisms in HF.
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Literature
1.
go back to reference Kuschyk J, Rudic B, Liebe V, Tülümen E, Borggrefe M, Akin I. Cardiac contractility modulation for treatment of chronic heart failure. Herzschrittmacherther Elektrophysiol. 2018;29:369–76.PubMed Kuschyk J, Rudic B, Liebe V, Tülümen E, Borggrefe M, Akin I. Cardiac contractility modulation for treatment of chronic heart failure. Herzschrittmacherther Elektrophysiol. 2018;29:369–76.PubMed
2.
go back to reference Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Borden WB, et al. Heart disease and stroke statistics—2013 update: a report from the American Heart Association. Circulation. 2013;127:e6–245.PubMed Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Borden WB, et al. Heart disease and stroke statistics—2013 update: a report from the American Heart Association. Circulation. 2013;127:e6–245.PubMed
3.
go back to reference Jessup M, Brozena S. Heart failure. N Engl J Med. 2003;348:2007–18.PubMed Jessup M, Brozena S. Heart failure. N Engl J Med. 2003;348:2007–18.PubMed
4.
go back to reference Stanley WC, Recchia FA, Lopaschuk GD. Myocardial substrate metabolism in the normal and failing heart. Physiol Rev. 2005;85:1093–129.PubMed Stanley WC, Recchia FA, Lopaschuk GD. Myocardial substrate metabolism in the normal and failing heart. Physiol Rev. 2005;85:1093–129.PubMed
5.
go back to reference Owan TE, Redfield MM. Epidemiology of diastolic heart failure. Prog Cardiovasc Dis. 2005;47:320–32.PubMed Owan TE, Redfield MM. Epidemiology of diastolic heart failure. Prog Cardiovasc Dis. 2005;47:320–32.PubMed
6.
go back to reference Zhang T, Nie Y, Gu J, Cai K, Chen X, Li H, et al. Identification of mitochondrial-related prognostic biomarkers associated with primary bile acid biosynthesis and tumor microenvironment of hepatocellular carcinoma. Front Oncol. 2021;11: 587479.PubMedPubMedCentral Zhang T, Nie Y, Gu J, Cai K, Chen X, Li H, et al. Identification of mitochondrial-related prognostic biomarkers associated with primary bile acid biosynthesis and tumor microenvironment of hepatocellular carcinoma. Front Oncol. 2021;11: 587479.PubMedPubMedCentral
7.
go back to reference Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43: e47.PubMedPubMedCentral Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43: e47.PubMedPubMedCentral
8.
go back to reference Yu W, Yu W, Yang Y, Lü Y. Exploring the key genes and identification of potential diagnosis biomarkers in Alzheimer’s disease using bioinformatics analysis. Front Aging Neurosci. 2021;13: 602781.PubMedPubMedCentral Yu W, Yu W, Yang Y, Lü Y. Exploring the key genes and identification of potential diagnosis biomarkers in Alzheimer’s disease using bioinformatics analysis. Front Aging Neurosci. 2021;13: 602781.PubMedPubMedCentral
9.
go back to reference Van P, Jiang W, Gottardo R, Finak G. ggCyto: next generation open-source visualization software for cytometry. Bioinformatics. 2018;34:3951–3.PubMedPubMedCentral Van P, Jiang W, Gottardo R, Finak G. ggCyto: next generation open-source visualization software for cytometry. Bioinformatics. 2018;34:3951–3.PubMedPubMedCentral
10.
go back to reference Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008;9:559.PubMedPubMedCentral Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008;9:559.PubMedPubMedCentral
11.
go back to reference Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS. 2012;16:284–7.PubMedPubMedCentral Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS. 2012;16:284–7.PubMedPubMedCentral
12.
go back to reference Hänzelmann S, Castelo R, Guinney J. GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics. 2013;14:7.PubMedPubMedCentral Hänzelmann S, Castelo R, Guinney J. GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics. 2013;14:7.PubMedPubMedCentral
13.
go back to reference Wang Z, Qin J, Zhao J, Li J, Li D, Popp M, et al. Inflammatory IFIT3 renders chemotherapy resistance by regulating post-translational modification of VDAC2 in pancreatic cancer. Theranostics. 2020;10:7178–92.PubMedPubMedCentral Wang Z, Qin J, Zhao J, Li J, Li D, Popp M, et al. Inflammatory IFIT3 renders chemotherapy resistance by regulating post-translational modification of VDAC2 in pancreatic cancer. Theranostics. 2020;10:7178–92.PubMedPubMedCentral
14.
go back to reference Schober A, Blay RM, Saboor Maleki S, Zahedi F, Winklmaier AE, Kakar MY, et al. MicroRNA-21 controls circadian regulation of apoptosis in atherosclerotic lesions. Circulation. 2021;144:1059–73.PubMed Schober A, Blay RM, Saboor Maleki S, Zahedi F, Winklmaier AE, Kakar MY, et al. MicroRNA-21 controls circadian regulation of apoptosis in atherosclerotic lesions. Circulation. 2021;144:1059–73.PubMed
15.
go back to reference Patel AM, Marsh ENG. The antiviral enzyme, viperin, activates protein ubiquitination by the E3 ubiquitin ligase, TRAF6. J Am Chem Soc. 2021;143:4910–4.PubMed Patel AM, Marsh ENG. The antiviral enzyme, viperin, activates protein ubiquitination by the E3 ubiquitin ligase, TRAF6. J Am Chem Soc. 2021;143:4910–4.PubMed
16.
go back to reference Yu YE, Morishima M, Pao A, Wang DY, Wen XY, Baldini A, et al. A deficiency in the region homologous to human 17q21.33-q23.2 causes heart defects in mice. Genetics. 2006;173:297–307.PubMedPubMedCentral Yu YE, Morishima M, Pao A, Wang DY, Wen XY, Baldini A, et al. A deficiency in the region homologous to human 17q21.33-q23.2 causes heart defects in mice. Genetics. 2006;173:297–307.PubMedPubMedCentral
17.
go back to reference Colak D, Kaya N, Al-Zahrani J, Al Bakheet A, Muiya P, Andres E, et al. Left ventricular global transcriptional profiling in human end-stage dilated cardiomyopathy. Genomics. 2009;94:20–31.PubMed Colak D, Kaya N, Al-Zahrani J, Al Bakheet A, Muiya P, Andres E, et al. Left ventricular global transcriptional profiling in human end-stage dilated cardiomyopathy. Genomics. 2009;94:20–31.PubMed
Metadata
Title
Identification and analysis of mitochondria-related key genes of heart failure
Authors
Haozhen Yu
Mujun Yu
Zhuang Li
Enhu Zhang
Heng Ma
Publication date
01-12-2022
Publisher
BioMed Central
Keyword
Heart Failure
Published in
Journal of Translational Medicine / Issue 1/2022
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-022-03605-2

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