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基于GEO数据库分析和孟德尔随机化分析鉴定系统性红斑狼疮的潜在治疗靶点

Identification of potential therapeutic targets for systemic lupus erythematosus based on GEO database analysis and Mendelian randomization analysis.

作者信息

Apaer Aishanjiang, Shi Yanyan, Aobulitalifu Alimijiang, Wen Fujie, Muhetaer Adalaiti, Ajimu Nuermaimaiti, Sulitan Maierhaba, Cheng Lei

机构信息

Department of Pharmacy, The First People's Hospital of Kashi Prefecture, Xinjiang, China.

Department of Pediatrics, The First People's Hospital of Kashi Prefecture, Xinjiang, China.

出版信息

Front Genet. 2024 Oct 16;15:1454486. doi: 10.3389/fgene.2024.1454486. eCollection 2024.

DOI:10.3389/fgene.2024.1454486
PMID:39445158
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11496559/
Abstract

BACKGROUND

Systemic lupus erythematosus (SLE) is a complex autoimmune disease. Current treatments mainly rely on immunosuppressants, which lack specificity and pose challenges during treatment. This study aims to deeply explore the molecular pathogenic mechanism of SLE through gene expression databases (GEO) and bioinformatics analysis methods, combined with Mendelian randomization analysis, to provide key clues for new therapeutic targets.

METHODS

In this study, the SLE-related gene chip dataset GSE65391 was selected from the GEO database, and the data were preprocessed and statistically analyzed using R language and bioinformatics tools. Differential expression analysis, weighted gene co-expression network analysis (WGCNA), GO, and KEGG enrichment analysis were used to screen differentially expressed genes (DEGs) for functional annotation and pathway localization. Furthermore, Mendelian randomization analysis was conducted to identify core genes closely related to SLE risk, and immune cell infiltration analysis and compound molecular docking studies were performed on the core gene ISG15.

RESULTS

The study successfully screened 3,456 DEGs and identified core gene modules highly related to SLE through WGCNA analysis, including key genes closely related to the pathogenesis of SLE, such as STAT1, DDX58, ISG15, IRF7, and IFIH1. In particular, this study found a significant positive correlation between the ISG15 gene and SLE, suggesting that it may be a potential risk factor for SLE. Additionally, through molecular docking technology, it was discovered that the ISG15 gene can effectively bind to two compounds, genistein, and flavopiridol, which have anti-inflammatory and immunosuppressive effects, respectively. This provides new potential drug targets for SLE treatment.

DISCUSSION

As an immunomodulatory cytokine, ISG15 plays a crucial role in the pathogenesis of SLE. This study found that variations in the ISG15 gene may increase the risk of SLE and exacerbate inflammatory responses and tissue damage through multiple mechanisms. Furthermore, molecular docking revealed that genistein and flavopiridol can effectively bind to ISG15, offering a new approach for SLE treatment. These two compounds, with their anti-inflammatory and immunosuppressive properties, have the potential to slow the progression of SLE by influencing the expression and function of ISG15.

CONCLUSION

Through comprehensive bioinformatics analysis and Mendelian randomization analysis, this study deeply explored the molecular pathogenic mechanism of SLE and successfully identified ISG15 as a potential therapeutic target for SLE. Simultaneously, molecular docking technology revealed that two compounds, genistein and flavopiridol, have potential therapeutic effects with ISG15, providing new potential drugs for SLE treatment. These discoveries not only enhance our understanding of the pathogenesis of SLE but also provide important clues for developing new treatment strategies.

摘要

背景

系统性红斑狼疮(SLE)是一种复杂的自身免疫性疾病。目前的治疗主要依赖免疫抑制剂,其缺乏特异性且在治疗过程中存在挑战。本研究旨在通过基因表达数据库(GEO)和生物信息学分析方法,并结合孟德尔随机化分析,深入探索SLE的分子致病机制,为新的治疗靶点提供关键线索。

方法

在本研究中,从GEO数据库中选取了SLE相关基因芯片数据集GSE65391,并使用R语言和生物信息学工具对数据进行预处理和统计分析。采用差异表达分析、加权基因共表达网络分析(WGCNA)、GO和KEGG富集分析来筛选差异表达基因(DEGs)进行功能注释和通路定位。此外,进行孟德尔随机化分析以鉴定与SLE风险密切相关的核心基因,并对核心基因ISG15进行免疫细胞浸润分析和化合物分子对接研究。

结果

该研究成功筛选出3456个DEGs,并通过WGCNA分析鉴定出与SLE高度相关的核心基因模块,包括与SLE发病机制密切相关的关键基因,如STAT1、DDX58、ISG15、IRF7和IFI1H。特别是,本研究发现ISG15基因与SLE之间存在显著正相关,表明它可能是SLE的潜在危险因素。此外,通过分子对接技术发现,ISG15基因可分别与具有抗炎和免疫抑制作用的染料木黄酮和黄酮哌啶醇这两种化合物有效结合。这为SLE治疗提供了新的潜在药物靶点。

讨论

作为一种免疫调节细胞因子,ISG15在SLE发病机制中起关键作用。本研究发现ISG15基因的变异可能增加SLE风险,并通过多种机制加剧炎症反应和组织损伤。此外,分子对接显示染料木黄酮和黄酮哌啶醇可有效结合ISG15,为SLE治疗提供了新方法。这两种化合物具有抗炎和免疫抑制特性,有可能通过影响ISG15的表达和功能来减缓SLE的进展。

结论

通过全面的生物信息学分析和孟德尔随机化分析,本研究深入探索了SLE的分子致病机制,并成功将ISG15鉴定为SLE的潜在治疗靶点。同时,分子对接技术显示染料木黄酮和黄酮哌啶醇这两种化合物对ISG15具有潜在治疗作用,为SLE治疗提供了新的潜在药物。这些发现不仅加深了我们对SLE发病机制的理解,也为开发新的治疗策略提供了重要线索。

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