Objectives: The mortality rate of abdominal aortic aneurysm (AAA) is extremely high in the older population. This study aimed to identify potential biomarkers of AAA and aortic rupture and analyze infiltration of immune cells in stable and ruptured AAA samples.
Methods: Raw data of GSE47472, GSE57691, and GSE98278 were downloaded. After data processing, the co-expression gene networks were constructed. Gene Ontology and pathway enrichment analysis of AAA- and aortic rupture-related gene modules were conducted using the Database for Annotation, Visualization, and Integrated Discovery. Gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were used for further enrichment analysis. The CIBERSORT tool was used to analyze the relative abundance of immune cells in samples. Differentially expressed immune-related genes were analyzed between different samples. Predictive models were constructed extreme gradient boosting, and hub genes were identified according to feature importance.
Results: Blue and yellow modules were significantly related to AAA, and genes in these modules were associated with the aortic wall and immune response, respectively. In terms of aortic rupture, the most relevant module was significantly enriched in the inflammatory response. The results of GSEA and GSVA suggested that immune cells and the inflammatory response were involved in the development of AAA and aortic rupture. There were significant differences in the infiltration of immune cells and expression levels of immune-related genes among different samples. might be an important transcription factor mediating the inflammatory response of AAA and aortic rupture. After the construction of a predictive model, , , and were selected as hub genes for AAA whereas , , and were identified as hub genes for aortic rupture.
Conclusion: Weakening of the aortic wall and the immune response both contributed to the development of AAA, and the inflammatory response was closely associated with aortic rupture. The infiltration of immune cells was significantly different between different samples. might be an important transcription factor in AAA and aortic rupture. , , and had potential diagnostic value for AAA. , , and might be predictive factors for aortic rupture.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492965 | PMC |
| http://dx.doi.org/10.3389/fcvm.2022.941185 | DOI Listing |
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