Identification of Circ-FNDC3B, an Overexpressed circRNA in Abdominal Aortic Aneurysm, as a Regulator of Vascular Smooth Muscle Cells

Liu, Yiming; Zhong, Zhisheng; Xiao, Liying; Li, Wendong; Wang, Zhong; Duan, Zongkui; Li, Xiaoqiang

doi:10.1536/ihj.21-186

Cited by 10 publications

(2 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Liu et al. demonstrated that circFNDC3B expression was elevated in aortic tissue of AAA patients ( 106 ). They further isolated and cultured primary VSMCs from AAA patients and found that the expression of circFNDC3B was higher in them and angiotensin II (Ang-II) induced circFNDC3B expression in a dose-dependent manner.…”

Section: The Roles Of Circfndc3b In Other Diseasesmentioning

confidence: 99%

Emerging landscape of circFNDC3B and its role in human malignancies

et al. 2023

View full text Add to dashboard Cite

In recent years, more attention has been paid to expanding the abundance of Circular RNAs (circRNAs), while the circRNAs that have been found to have significant functions have not been studied in different diseases. CircFNDC3B is one of the most researched circRNAs generated from fibronectin type III domain-containing protein 3B (FNDC3B) gene. Accumulating researches have reported the multiple functions of circFNDC3B in different cancer types and other non-neoplastic diseases, and predicted that circFNDC3B might be a potential biomarker. Notably, circFNDC3B can play roles in different diseases by binding to various microRNAs (miRNAs), binding to RNA-binding proteins (RBPs), or encoding functional peptides. This paper systematically summarizes the biogenesis and function of circRNAs, reviews and discusses the roles and molecular mechanisms of circFNDC3B and its target genes in different cancers and non-neoplastic diseases, which will do favor to broaden our comprehension of the function of circRNAs and facilitate subsequent research on circFNDC3B.

show abstract

Section: The Roles Of Circfndc3b In Other Diseasesmentioning

confidence: 99%

Emerging landscape of circFNDC3B and its role in human malignancies

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The main pathological features of AAA include smooth muscle cell (SMC) dysfunction, inflammation, immune cell infiltration, and extracellular matrix remodeling ( 8 ). Studies have shown an association between circ-FNDC3B and angiotensin II (Ang II) induced SMC dysfunction, suggesting that circ-FNDC3B/miR-143-3p/ADAM10 axis may regulate AAA pathogenesis ( 9 ). Further investigation of circ-Sirt1/miR-132/212/SIRT1 in SMC phenotypic switching provided another perspective on the pathogenesis of AAA ( 10 ).…”

Section: Introductionmentioning

confidence: 99%

Construction and analysis of competing endogenous RNA network and patterns of immune infiltration in abdominal aortic aneurysm

Chen

Wang²,

Wang³

et al. 2022

Front. Cardiovasc. Med.

View full text Add to dashboard Cite

BackgroundVarious studies have highlighted the role of circular RNAs (circRNAs) as critical molecular regulators in cardiovascular diseases, but its role in abdominal aortic aneurysm (AAA) is unclear. This study explores the potential molecular mechanisms of AAA based on the circRNA-microRNA (miRNA)-mRNA competing endogenous RNA (ceRNA) network and immune cell infiltration patterns.MethodsThe expression profiles of circRNAs (GSE144431) and mRNAs (GSE57691 and GSE47472) were obtained from the Gene Expression Omnibus (GEO). Then, the differentially expressed circRNAs (DEcircRNAs) and mRNAs (DEmRNAs) between AAA patients and healthy control samples, and the target miRNAs of these DEmRNAs and DEcircRNAs were identified. Based on the miRNA-DEmRNAs and miRNA-DEcircRNAs pairs, the ceRNA network was constructed. Furthermore, the proportion of the 22 immune cell types in AAA patients was assessed using cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm. The expressions of key genes and immune cell infiltration were validated using clinical specimens.ResultsA total of 214 DEmRNAs were identified in the GSE57691 and GSE47472 datasets, and 517 DEcircRNAs were identified in the GSE144431 dataset. The ceRNA network included 19 circRNAs, 36 mRNAs, and 68 miRNAs. Two key genes, PPARG and FOXO1, were identified among the hub genes of the established protein-protein interaction between mRNAs in the ceRNA network. Moreover, seven types of immune cells were differentially expressed between AAA patients and healthy control samples. Hub genes in ceRNA, such as FOXO1, HSPA8, and RAB5C, positively correlated with resting CD4 memory T cells or M1 macrophages, or both.ConclusionIn conclusion, a ceRNA interaction axis was constructed. The composition of infiltrating immune cells was analyzed in the abdominal aorta of AAA patients and healthy control samples. This may help identify potential therapeutic targets for AAA.

show abstract