RNA Sequencing of Cardiac in a Rat Model Uncovers Potential Target LncRNA of Diabetic Cardiomyopathy

Yangbo Xi; Dongping Chen; Zhihui Dong; Hingcheung Lam; Jiading He; Keyi Du; Can Chen; Jun Guo; Jianmin Xiao

doi:10.3389/fgene.2022.848364

RNA Sequencing of Cardiac in a Rat Model Uncovers Potential Target LncRNA of Diabetic Cardiomyopathy

Front Genet. 2022 Apr 13:13:848364. doi: 10.3389/fgene.2022.848364. eCollection 2022.

Authors

Yangbo Xi^{1

2}, Dongping Chen³, Zhihui Dong³, Hingcheung Lam¹, Jiading He¹, Keyi Du¹, Can Chen⁴, Jun Guo^{1

2}, Jianmin Xiao^{1

3

5}

Affiliations

¹ Department of The First Clinical Medical College, Jinan University, Guangzhou, China.
² Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
³ Central Laboratory, The Dongguan Affiliated Hospital of Jinan University, Binhaiwan Central Hospital of Dongguan, Dongguan, China.
⁴ Department of Pathology, The Dongguan Affiliated Hospital of Jinan University, Binhaiwan Central Hospital of Dongguan, Dongguan, China.
⁵ Department of Cardiology, The Dongguan Affiliated Hospital of Jinan University, Binhaiwan Central Hospital of Dongguan, Dongguan, China.

Abstract

Background: Diabetic cardiomyopathy (DCM) is one of the major causes of heart failure in diabetic patients; however, its pathogenesis remains unclear. Long non-coding RNAs (lncRNAs) are involved in the development of various cardiovascular diseases, but little is known in DCM. Objective: The present study was conducted to investigate the altered expression signature of lncRNAs and mRNAs by RNA-sequencing and uncovers the potential targets of DCM. Methods: A DCM rat model was established, and the genome-wide expression profile of cardiac lncRNAs and mRNAs was investigated in the rat model with and without DCM by RNA-sequencing. Bioinformatics analysis included the co-expression, competitive endogenous RNA (ceRNA) network, and functional enrichment analysis of deregulated lncRNAs and mRNAs. Results: A total of 355 lncRNA transcripts and 828 mRNA transcripts were aberrantly expressed. The ceRNA network showed that lncRNA XR_351927.3, ENSRNOT00000089581, XR_597359.2, XR_591602.2, and XR_001842089.1 are associated with the greatest number of differentially expressed mRNAs and AURKB, MELK, and CDK1 may be the potential regulatory targets of these lncRNAs. Functional analysis showed that these five lncRNAs are closely associated with fibration, cell proliferation, and energy metabolism of cardiac myocytes, indicating that these core lncRNAs have high significance in DCM. Conclusions: The present study profiled the DCM-specific lncRNAs and mRNAs, constructed the lncRNA-related ceRNA regulatory network, and identified the potential prognostic biomarkers, which provided new insights into the pathogenesis of DCM.

Keywords: bioinformatic analyses; ceRNA; diabetic cardiomyopathy; long non-coding RNA; transcriptome sequencing.