Department of Anesthesiology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
XJTLU Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
BMC Cardiovasc Disord. 2023 Sep 28;23(1):481. doi: 10.1186/s12872-023-03516-0.
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.
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.
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.
本研究探讨了凋亡相关基因在胸主动脉瘤(TAA)中的作用,为 TAA 的发病机制和分子机制提供了更深入的了解。
材料/方法:从基因表达综合数据库(GEO)数据库中检索了两个基因表达数据集(GSE9106 和 GSE26155)。从 KEGG 凋亡途径(hsa04210)获得凋亡相关基因。使用 limma 对 TAA 血液和组织样本进行差异表达分析,确定差异表达的凋亡相关基因。使用 Metascape 网络工具对差异表达的凋亡基因进行 GO 和 KEGG 富集分析。使用 ENCORI 和 miRDB 数据库重建 miRNA-mRNA 调控网络,并使用 miEAA 工具对相关 miRNA 进行功能富集分析。使用 CIBERSORT 算法计算 TAA 中差异表达的凋亡相关基因与参与免疫浸润的基因之间的表达水平的相关性。系统评估差异表达的凋亡相关基因介导的 TAA 中的凋亡修饰模式。
与正常样本相比,TAA 样本中鉴定出 9 个差异表达的凋亡相关基因。使用 ENCORI 和 miRDB 数据库重建了 150 个 miRNA 和 6 个 mRNA 调控网络。免疫浸润分析显示,GZMB 与激活的 NK 细胞呈最强正相关,DFFA 与滤泡辅助性 T 细胞呈最强正相关。鉴定出 9 个差异表达的凋亡相关基因介导的 3 种不同的凋亡修饰模式。它们在免疫特征和药物敏感性方面存在差异,进一步研究了这些亚型中它们的生物学功能。
本研究确定了与 TAA 相关的关键凋亡相关基因,并评估了 TAA 中关键凋亡基因的修饰模式,为 TAA 的发病机制和进展提供了潜在的靶点和机制的见解。