Medical School of Chinese PLA, Beijing, China.
Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Front Immunol. 2024 Sep 3;15:1456392. doi: 10.3389/fimmu.2024.1456392. eCollection 2024.
Systemic Lupus Erythematosus (SLE) is acknowledged for its significant influence on systemic health. This study sought to explore potential crosstalk genes, pathways, and immune cells in the relationship between SLE and moyamoya disease (MMD).
We obtained data on SLE and MMD from the Gene Expression Omnibus (GEO) database. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were conducted to identify common genes. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on these shared genes. Hub genes were further selected through the least absolute shrinkage and selection operator (LASSO) regression, and a receiver operating characteristic (ROC) curve was generated based on the results of this selection. Finally, single-sample Gene Set Enrichment Analysis (ssGSEA) was utilized to assess the infiltration levels of 28 immune cells in the expression profile and their association with the identified hub genes.
By intersecting the important module genes from WGCNA with the DEGs, the study highlighted , and as key crosstalk genes linking SLE and MMD. GO analysis indicated that these shared genes were predominantly enriched in immune system process and immune response. LASSO analysis identified as the optimal shared diagnostic biomarkers for both SLE and MMD. Additionally, the analysis of immune cell infiltration revealed the significant involvement of activation of T and monocytes cells in the pathogenesis of SLE and MMD.
This study is pioneering in its use of bioinformatics tools to explore the close genetic relationship between MMD and SLE. The genes , and have been identified as key crosstalk genes that connect MMD and SLE. Activation of T and monocytes cells-mediated immune responses are proposed to play a significant role in the association between MMD and SLE.
红斑狼疮(SLE)对全身健康有重大影响,这一点已得到公认。本研究旨在探讨系统性红斑狼疮(SLE)与烟雾病(MMD)之间关系中的潜在串扰基因、途径和免疫细胞。
我们从基因表达综合数据库(GEO)中获得了 SLE 和 MMD 的数据。通过差异表达分析和加权基因共表达网络分析(WGCNA),鉴定共同基因。然后对这些共享基因进行基因本体(GO)和京都基因与基因组百科全书(KEGG)通路富集分析。通过最小绝对值收缩和选择算子(LASSO)回归进一步选择枢纽基因,并根据选择结果生成受试者工作特征(ROC)曲线。最后,通过单样本基因集富集分析(ssGSEA)评估表达谱中 28 种免疫细胞的浸润水平及其与鉴定出的枢纽基因的相关性。
通过 WGCNA 的重要模块基因与 DEGs 的交集,本研究突出了 和 作为 SLE 和 MMD 之间关键串扰基因。GO 分析表明,这些共享基因主要富集在免疫系统过程和免疫反应中。LASSO 分析确定 是 SLE 和 MMD 的最佳共享诊断生物标志物。此外,免疫细胞浸润分析表明,T 细胞和单核细胞的激活在 SLE 和 MMD 的发病机制中具有重要意义。
本研究使用生物信息学工具探索 MMD 和 SLE 之间的密切遗传关系具有开创性意义。鉴定出基因 、 和 作为连接 MMD 和 SLE 的关键串扰基因。T 细胞和单核细胞激活介导的免疫反应可能在 MMD 和 SLE 之间的关联中起重要作用。