Diabetes, Metabolic Syndrome and Obesity (May 2024)

Expression Profiles and Bioinformatic Analysis of Circular RNAs in Db/Db Mice with Cardiac Fibrosis

  • Yuan L,
  • Wang T,
  • Duan J,
  • Zhou J,
  • Li N,
  • Li G,
  • Zhou H

Journal volume & issue
Vol. Volume 17
pp. 2107 – 2120

Abstract

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Lingling Yuan,1 Ting Wang,1 Jinsheng Duan,2 Jing Zhou,1 Na Li,1 Guizhi Li,1 Hong Zhou1 1Department of Endocrinology, the Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050004, People’s Republic of China; 2Department of Cardiology, the Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050004, People’s Republic of ChinaCorrespondence: Hong Zhou, Department of Endocrinology, the Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China, Tel +86-15130119625, Email [email protected]; [email protected]: Cardiac fibrosis is one of the important causes of heart failure and death in diabetic cardiomyopathy (DCM) patients. Circular RNAs (circRNAs) are covalently closed RNA molecules in eukaryotes and have high stability. Their role in myocardial fibrosis with diabetic cardiomyopathy (DCM) remain to be fully elucidated. This study aimed to understand the expression profiles of circRNAs in myocardial fibrosis with DCM, exploring the possible biomarkers and therapeutic targets for DCM.Methods: At 21 weeks of age, db/db mice established the type 2 DCM model measured by echocardiography, and the cardiac tissue was extracted for Hematoxylin–eosin, Masson’s trichrome staining, and transmission electron microscopy. Subsequently, the expression profile of circRNAs in myocardial fibrosis of db/db mice was constructed using microarray hybridization and verified by real‐time quantitative polymerase chain reaction. A circRNA–microRNA–messenger RNA coexpression network was constructed, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were done.Results: Compared with normal control mice, db/db mice had 77 upregulated circRNAs and 135 downregulated circRNAs in their chromosomes (fold change ≥ 1.5, P ≤ 0.05). Moreover, the enrichment analysis of circRNA host genes showed that these differentially expressed circRNAs were mainly involved in mitogen-activated protein kinase signaling pathways. CircPHF20L1, circCLASP1, and circSLC8A1 were the key circRNAs. Moreover, circCLASP1/miR-182-5p/Wnt7a, circSLC8A1/miR-29b-1-5p/Col12a1, and most especially circPHF20L1/miR-29a-3p/Col6a2 might be three novel axes in the development of myocardial fibrosis in DCM.Conclusion: The findings will provide some novel circRNAs and molecular pathways for the prevention or clinical treatment of DCM through intervention with specific circRNAs.Keywords: Circular RNAs, expression profile, diabetic cardiomyopathy, cardiac fibrosis, bioinformatic analysis

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