Prognostic Biomarkers and Molecular Mechanisms for Thoracic Aortic Aneurysms

Jian Ding, Tianxing Ni

Article ID: 6894
Vol 36, Issue 3, 2022
DOI: https://doi.org/10.23812/j.biol.regul.homeost.agents.20223603.68
Received: 9 July 2022; Accepted: 9 July 2022; Available online: 9 July 2022; Issue release: 9 July 2022

Abstract

Background: Thoracic aortic aneurysm (TAA) is a fatal condition result from weakening of the thoracic aorta wall. This study aims to reveal promising prognostic biomarkers and the potential molecular mechanism associated with TAA. Method: The differentially expressed genes (DEGs) were explored between TAA samples (TAA group) and normal samples (control group). The enrichment analysis and protein-protein interaction (PPI) network analysis for DEGs were performed to explore diagnostic hub genes. The receiver operating characteristic curve (ROC) analysis was performed on each hub gene to evaluate the diagnostic effect of hub genes. Finally, the associations of hub gene with immune cells were investigated. Result: A total of 702 DEGs were revealed between TAA and control groups. These DEGs such as FOXP3 were mainly assembled in functions like regulation of cell adhesion. PPI network analysis explored 20 hub genes including CCL19, SOCS3, and IL10. Moreover, compared with normal samples, the cell infiltration in monocytes was significant in TAA samples. Finally, the correlation analysis between hub genes and immune cells showed that monocytes were negatively correlated with hug genes including IL7R. Conclusions: A total of 20 hub genes including CCL19 and IL10 were revealed as potential diagnostic biomarkers for TAA. FOXP3 might take part in the progression of TAA via regulating cell adhesion. Furthermore, the inhibition of monocytes via promoting IL7R expression may contribute to the clinical treatment of TAA.


Keywords

thoracic aortic aneurysm;differentially expressed genes;prognostic biomarkers;enrichment analysis;immune cell infiltration


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Supporting Agencies



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