circRNA, a novel diagnostic biomarker for coronary heart disease

Xiao Tong1, Xinyi Zhao1, Xuan Dang1

  • 1Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.

Insights

This study identified exosome-derived circRNAs as potential diagnostic biomarkers for coronary heart disease (CHD). Four specific circRNAs (circRNA0001785, circRNA0000973, circRNA0001741, and circRNA0003922) show promise for predicting CHD and acute coronary syndrome (ACS).

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genomics

Background:

  • Coronary heart disease (CHD) poses a significant global health challenge.
  • Accurate and early diagnostic biomarkers for CHD are crucial for effective management.
  • Exosome-derived circular RNAs (circRNAs) are emerging as potential non-invasive biomarkers.

Purpose of the Study:

  • To identify novel diagnostic biomarkers for coronary heart disease (CHD) from exosome-derived circRNAs.
  • To investigate the potential of specific circRNAs in predicting CHD and acute coronary syndrome (ACS).

Main Methods:

  • Retrieved microarray data for circRNAs in CHD exosomes and mRNAs in acute myocardial infarction from public databases.
  • Identified differentially expressed genes (DEGs) and constructed a circRNA-microRNA-mRNA ceRNA network.
  • Utilized Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and STRING for pathway and interaction analysis.
  • Validated candidate biomarkers using quantitative real-time polymerase chain reaction (qRT-PCR) and receiver operator characteristic (ROC) curve analysis.

Main Results:

  • Identified 85 differentially expressed circRNAs in CHD patients (4 up-regulated, 81 down-regulated).
  • Constructed a ceRNA network comprising 7 circRNA, 5 microRNA, and 2 mRNA nodes.
  • Validated circRNA0001785, circRNA0000973, circRNA0001741, and circRNA0003922 as promising diagnostic markers for CHD.

Conclusions:

  • Exosome-derived circRNAs, particularly circRNA0001785, circRNA0000973, circRNA0001741, and circRNA0003922, are potential diagnostic biomarkers for CHD.
  • These findings offer insights into the molecular mechanisms of CHD and provide candidates for early detection.
  • Further research into these circRNAs could advance the diagnosis and treatment of CHD and ACS.
Abstract

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