当前位置: X-MOL 学术Arthritis Res. Ther. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Integrated bioinformatic analysis of the shared molecular mechanisms between ANCA-associated vasculitis and atherosclerosis
Arthritis Research & Therapy ( IF 4.4 ) Pub Date : 2024-12-19 , DOI: 10.1186/s13075-024-03448-w
Xun Hu, Inmaculada Xu Lou, Qilan Chen

Accumulated evidence supports the tendency of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis(AAV) to coexist with atherosclerosis (AS). However, the common etiology of these two diseases remains unclear. This study aims to explore the mechanisms underlying the concurrent occurrence of ANCA and AS. Microarray data of AAV and AS were examined in a comprehensive gene expression database. Weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis (GEO2R) were performed to identify common genes between AAV and AS. Based on the co-expressed genes, functional enrichment analysis, protein-protein interaction (PPI) network analysis, and identification of hub genes (HGs) were conducted. Subsequently, co-expression analysis of HGs was performed, and their expression and diagnostic value were validated. We further explored immune cell infiltration and analyzed the correlation between HGs and infiltrating immune cells. Finally, the reliability of the selected pathways was verified. The results of the common gene analysis suggest that immune and inflammatory responses may be common features in the pathophysiology of AAV and AS. Through the interaction of different analysis results, we confirmed five HGs (CYBB, FCER1G, TYROBP, IL10RA, CSF1R). The CytoHubba plugin and HG validation demonstrated the reliability of the selected five HGs. Co-expression network analysis revealed that these five HGs could influence monocyte migration. Analysis of immune cell infiltration showed that monocytes in ANCA and M0 macrophages in AS constituted a higher proportion of all infiltrating immune cells, with significant differences in infiltration. We also found significant positive correlations between CYBB, FCER1G, TYROBP, IL10RA, CSF1R, and monocytes/M0 macrophages in AAV, as well as between CYBB, FCER1G, TYROBP, IL10RA, CSF1R, and M0 macrophages in AS. These five HGs can promote monocyte differentiation into macrophages, leading to the concurrent occurrence of AAV and AS. Our study provides insights into the mechanisms underlying the coexistence of AAV and AS.

中文翻译:


ANCA 相关血管炎与动脉粥样硬化之间共享分子机制的综合生物信息学分析



积累的证据支持抗中性粒细胞胞浆抗体 (ANCA) 相关血管炎 (AAV) 与动脉粥样硬化 (AS) 共存的趋势。然而,这两种疾病的共同病因仍不清楚。本研究旨在探讨 ANCA 和 AS 同时发生的潜在机制。在综合基因表达数据库中检查 AAV 和 AS 的微阵列数据。进行加权基因共表达网络分析 (WGCNA) 和差异基因表达分析 (GEO2R) 以鉴定 AAV 和 AS 之间的共同基因。基于共表达基因,进行功能富集分析、蛋白质-蛋白质相互作用 (PPI) 网络分析和枢纽基因 (HGs) 鉴定。随后,对 HGs 进行共表达分析,验证其表达和诊断价值。我们进一步探索了免疫细胞浸润,并分析了 HGs 与浸润免疫细胞之间的相关性。最后,验证了所选通路的可靠性。常见基因分析的结果表明,免疫和炎症反应可能是 AAV 和 AS 病理生理学的常见特征。通过不同分析结果的交互,我们确认了 5 个 HGs (CYBB 、 FCER1G 、 TYROBP 、 IL10RA 、 CSF1R)。CytoHubba 插件和 HG 验证证明了所选 5 个 HG 的可靠性。共表达网络分析显示,这 5 个 HG 可以影响单核细胞迁移。免疫细胞浸润分析显示,ANCA 中的单核细胞和 AS 中的 M0 巨噬细胞在所有浸润免疫细胞中占较高比例,浸润差异显著。 我们还发现 AAV 中 CYBB 、 FCER1G 、 TYROBP 、 IL10RA 、 CSF1R 和单核细胞/M0 巨噬细胞之间以及 CYBB 、 FCER1G 、 TYROBP 、 IL10RA 、 CSF1R 和 M0 巨噬细胞之间呈显著正相关。这 5 个 HGs 可促进单核细胞分化为巨噬细胞,导致 AAV 和 AS 同时发生。我们的研究为 AAV 和 AS 共存的机制提供了见解。
更新日期:2024-12-19
down
wechat
bug