Bioinformatics Analysis of Key Genes and MiRNAs Associated with Stanford Type A Aortic Dissection

Overview

Journal J Thorac Dis

Publisher AME Publishing Company

Specialty Pulmonary Medicine

Date 2020 Nov 4

PMID 33145057

Citations 6

Authors

Siwei Bi

Ruiqi Liu

Yinzhi Shen

Jun Gu

Affiliations

Soon will be listed here.

Abstract

Background: Aortic dissection is one of the most detrimental cardiovascular diseases with a high risk of mortality and morbidity. This study aimed to examine the key genes and microRNAs associated with Stanford type A aortic dissection (AAD).

Methods: The expression data of AAD and healthy samples were downloaded from two microarray datasets in the Gene Expression Omnibus (GEO) database to identify highly preserved modules by weighted gene co-expression network analysis (WGCNA). Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRNAs) were selected and functionally annotated. The predicted interactions between the DEGs and DEmiRNAs were further illustrated.

Results: In two highly preserved modules, 459 DEGs were identified. These DEGs were functionally enriched in the HIF1, Notch, and PI3K/Akt pathways. Furthermore, 6 DEmiRNAs that were enriched in the regulation of vasculature development and HIF1 pathway, were predicted to target 23 DEGs.

Conclusions: Our study presented several promising modulators, both DEGs and DEmiRNAs, as well as possible pathological pathways for AAD, which narrows the scope for further fundamental research.

Citing Articles

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Zhang X, Yang Z, Li X, Liu X, Wang X, Qiu T Front Genet. 2022; 13:823769.

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Zhang H, Chen T, Zhang Y, Lin J, Zhao W, Shi Y J Immunol Res. 2022; 2022:7585149.

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