AI Article Synopsis
- - The study explored how apoptosis-related genes contribute to the development of thoracic aortic aneurysms (TAA), using two gene expression datasets to analyze differences between TAA and normal samples.
- - Researchers found 9 significant apoptosis-related genes and reconstructed complex regulatory networks involving 150 miRNAs and 6 mRNAs, while also examining their relationships with immune cell infiltration in TAA.
- - Three unique patterns of apoptosis modification were discovered, highlighting differences in immune profiles and drug response, which could inform future research and treatment strategies for TAA.
Article Abstract
Background: This study investigated the role of apoptosis-related genes in thoracic aortic aneurysms (TAA) and provided more insights into TAA's pathogenesis and molecular mechanisms.
Material/methods: Two gene expression datasets (GSE9106 and GSE26155) were retrieved from the Gene Expression Omnibus (GEO) database. Apoptosis-related genes were obtained from the KEGG apoptosis pathway (hsa04210). Differentially expressed apoptosis-related genes were identified by performing differential expression analysis using limma for TAA blood and tissue samples. GO and KEGG enrichment analysis of the differentially expressed apoptosis genes was performed using the Metascape web tool. The miRNA-mRNA regulatory network was reconstructed using the ENCORI and miRDB databases, and functional enrichment analysis was performed on the related miRNAs using the miEAA tool. The correlation between the expression levels of differentially expressed apoptosis-related genes and genes involved in immune infiltration in TAA was calculated using the CIBERSORT algorithm. The apoptosis modification patterns mediated by differentially expressed apoptosis-related genes were systematically assessed in TAA samples.
Results: A total of 9 differentially-expressed apoptosis-related genes were identified in TAA samples compared with normal samples. 150 miRNAs and 6 mRNAs regulatory networks were reconstructed using the ENCORI and miRDB databases. Immune infiltration analysis revealed that the GZMB had the strongest positive correlation with activated NK cells and the DFFA presented the strongest positive correlation with T cells follicular helper. 3 distinct apoptosis modification patterns mediated by 9 differentially-expressed apoptosis-related genes were identified. They differ in immune characteristics and drug sensitivity, and their biological functions in these subtypes were further studied.
Conclusions: This study identified key apoptosis-related genes related to TAA and evaluated the modification patterns of key apoptosis genes in TAA, providing insights into potential targets and mechanisms of TAA pathogenesis and progression.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540322 | PMC |
| http://dx.doi.org/10.1186/s12872-023-03516-0 | DOI Listing |
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