Circular RNAs in vascular diseases.

aneurysms atherosclerosis circRNAs endothelial cells smooth muscle cells vascular diseases

Journal

Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388

Informations de publication

Date de publication:
2023
Historique:
received: 27 06 2023
accepted: 18 09 2023
medline: 16 10 2023
pubmed: 16 10 2023
entrez: 16 10 2023
Statut: epublish

Résumé

Vascular diseases are the leading cause of morbidity and mortality worldwide and are urgently in need of diagnostic biomarkers and therapeutic strategies. Circular RNAs (circRNAs) represent a unique class of RNAs characterized by a circular loop configuration and have recently been identified to possess a wide variety of biological functions. CircRNAs exhibit exceptional stability, tissue specificity, and are detectable in body fluids, thus holding promise as potential biomarkers. Their encoding function and stable gene expression also position circRNAs as an excellent alternative to gene therapy. Here, we briefly review the biogenesis, degradation, and functions of circRNAs. We summarize circRNAs discovered in major vascular diseases such as atherosclerosis and aneurysms, with a particular focus on molecular mechanisms of circRNAs identified in vascular endothelial cells and smooth muscle cells, in the hope to reveal new directions for mechanism, prognosis and therapeutic targets of vascular diseases.

Identifiants

pubmed: 37840954
doi: 10.3389/fcvm.2023.1247434
pmc: PMC10570532
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1247434

Informations de copyright

© 2023 Liu, Wang, Zhang, Fang and Meng.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Qiaoyuan Liu (Q)

Department of Basic Science Research, Guangzhou Laboratory, Guangzhou, China.

Yaofeng Wang (Y)

Department of Basic Science Research, Guangzhou Laboratory, Guangzhou, China.

Tinghong Zhang (T)

Department of Basic Science Research, Guangzhou Laboratory, Guangzhou, China.

Jianwen Fang (J)

Department of Basic Science Research, Guangzhou Laboratory, Guangzhou, China.

Shu Meng (S)

Department of Basic Science Research, Guangzhou Laboratory, Guangzhou, China.

Classifications MeSH