Expression Profiles of Circular RNA in Human Atrial Fibrillation With Valvular Heart Diseases

• Published in: Frontiers in cardiovascular medicine Vol. 7; p. 597932
• Main Authors: Zhu, Xiyu, Tang, Xinlong, Chong, Hoshun, Cao, Hailong, Fan, Fudong, Pan, Jun, Wang, Dongjin, Zhou, Qing
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 20.11.2020
• Subjects: Cardiovascular Medicine; circular RNA; mRNA; persistent atrial fibrillation; regulatory network; valvular heart disease; valvular heart disease; mRNA; regulatory network; persistent atrial fibrillation; circular RNA
• ISSN: 2297-055X; 2297-055X
• DOI: 10.3389/fcvm.2020.597932

Circular RNAs (circRNA) are involved in a variety of human heart diseases, however, circRNA expression profiles and circRNA-miRNA-mRNA regulatory network in human atrial fibrillation (AF) especially with valvular heart diseases (VHD) remain poorly understood. A high-throughput RNA sequencing was used to investigate the differentially expressed circRNAs in left atrial appendage from VHD patients with or without persistent AF. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed to predict the potential functions of the host genes of differentially expressed circRNA and their downstream targets. CircRNA-miRNA-mRNA regulatory network was constructed to identify mechanisms underlying circRNAs. qRT-PCR and sanger sequencing were further performed to validate the results. Compared with sinus rhythm (SR) patients, there were 3094 upregulated and 4472 downregulated circRNAs in AF patients respectively. The expression of 10 most differentially expressed circRNAs (circ 255-ITGA7, circ 418-KCNN2, circ 13913-MIB1, circ 44670-BARD1, circ 44782-LAMA2, circ 81906-RYR2, circ 35880-ANO5, circ 22249-TNNI3K, circ 3136-TNNI3K, circ 56186-TNNI3K) between SR and persistent AF patients were verified by qRT-PCR. In addition, specific back-splicing sites of these circRNAs was confirmed by sanger sequencing. GO and KEGG pathway analysis indicated that cAMP signal pathway and Wnt signal pathway might play important role in the development of AF in VHD patients, which might be affected by circRNAs. This study provided a preliminary landscape of circRNAs expression profiles which are involved in persistent AF due to VHD, and established the possibility for future related researches in this field.