4.5 Article

Expression profiling of circular RNAs and their potential role in early-stage diabetic cardiomyopathy

Journal

MOLECULAR MEDICINE REPORTS
Volume 22, Issue 3, Pages 1958-1968

Publisher

SPANDIDOS PUBL LTD
DOI: 10.3892/mmr.2020.11248

Keywords

high-throughput RNA sequencing technology; knock-out mice; circular RNA; early-stage diabetic cardiomyopathy; pathogenesis; competing endogenous RNAs

Funding

  1. Key Projects of National Natural Science Foundation of China [81430047]
  2. National Key Research and Development Program [2018 YFC0807202]

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Diabetic cardiomyopathy (DCM) is a severe cardiovascular complication of diabetes mellitus (DM). Detecting DCM during the early stages of the disease remains a challenge, as the molecular mechanisms underlying early-stage DCM are not clearly understood. Circular RNA (circRNA), a type of non-coding RNA, has been confirmed to be associated with numerous diseases. However, it is still unclear how circRNAs are involved in early-stage DCM. In the present study, heart tissues harvested from BKS-db/db knock-out mice were identified through high-throughput RNA sequencing technology. A total of 58 significantly differentially expressed circRNAs were identified in the db/db sample. Among these, six upregulated circRNAs and seven downregulated circRNAs were detected by reverse transcription-quantitative PCR and analyzed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Furthermore, based on the predicted binding site with microRNAs (miRNAs) involved in DCM, five circRNAs (mmu_circ_0000652, mmu_circ_0000547, mmu_circ_0001058, mmu_circ_0000680 and novel_circ_0004285) were shown to serve as competing endogenous (ce)RNAs. The corresponding miRNAs and mRNAs of the ceRNAs were also verified, and two promising circRNA-miRNA-mRNA regulatory networks were determined. Finally, internal ribosome entry site prediction combined with open reading frame prediction indicated that it was highly possible that mmu_circ_0001160 encoded a protein. In the present study, a comprehensive analysis of the circRNA expression profile during the early phase of DCM was performed, and two promising circRNA-miRNA-mRNA regulatory networks were identified. These results lay the foundation for unravelling the underlying pathogenesis of DCM, and highlight potential biomarkers and therapeutic targets for the treatment of DCM at an early stage.

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