A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy. Issue 1 (24th January 2020)

• Record Type: Journal Article
• Authors: Zou, Yuqing; Wang, Yahui; Rong, Zherou; Wei, Benliang; Liu, Yang; Song, Zhaona; Li, Wenshuai; Hu, Erqiang; Deng, Gui; He, Yuehan; Lv, Junjie; Chen, Lina; Li, Wan
• Is Part Of: Bioscience reports. Volume 40:Issue 1(2020)
• Publication Date: 2020-01-24
• Subjects: ceRNA -- ICM -- lncRNA -- miRNA -- mRNA; Molecular biology -- Periodicals; Cytology -- Periodicals; 572.8
• DOI: 10.1042/BSR20191731
• Languages: English
• ISSNs: 0144-8463

Abstract

Abstract: Ischemic cardiomyopathy (ICM) is a common human heart disease that causes death. No effective biomarkers for ICM could be found in existing databases, which is detrimental to the in-depth study of this disease. In the present study, ICM susceptibility biomarkers were identified using a proposed strategy based on RNA-Seq and miRNA-Seq data of ICM and normal samples. Significantly differentially expressed competing endogenous RNA (ceRNA) triplets were constructed using permutation tests and differentially expressed mRNAs, miRNAs and lncRNAs. Candidate ICM susceptible genes were screened out as differentially expressed genes in significantly differentially expressed ceRNA triplets enriched in ICM-related functional classes. Finally, eight ICM susceptibility genes and their significantly correlated lncRNAs with high classification accuracy were identified as ICM susceptibility biomarkers. These biomarkers would contribute to the diagnosis and treatment of ICM. The proposed strategy could be extended to other complex diseases without disease biomarkers in public databases.