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狼疮性肾炎中IRF8相关基因及免疫特征的综合分析

Comprehensive analysis of IRF8-related genes and immune characteristics in lupus nephritis.

作者信息

Yu Zhibin, Zheng Chenghui, Wang Yilun

机构信息

Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.

Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.

出版信息

Front Pharmacol. 2024 Dec 9;15:1468323. doi: 10.3389/fphar.2024.1468323. eCollection 2024.

Abstract

BACKGROUND

There are currently no reliable diagnostic biomarkers or treatments for lupus nephritis (LN), a complication of systemic lupus erythematosus. Objective: We aimed to explore gene networks and potential biomarkers for LN by analyzing the GSE32591 and GSE113342 datasets from the Gene Expression Omnibus database, focusing on and -related genes.

METHODS

We used differential expression analysis, functional enrichment, protein-protein interaction (PPI) network construction, and the CIBERSORT algorithm for immune infiltration assessment. To validate the expression levels of the IRF8 gene in the kidneys of lupus mice models, we used quantitative real-time PCR (qRT-PCR) and Western blotting (WB). A diagnostic classifier was built using the RandomForest method to evaluate the diagnostic potential of selected key genes. To bridge our findings with potential therapeutic implications, we used the drug-gene interaction database to predict drugs targeting the identified genes.

RESULTS

Twenty co-differentially expressed genes (DEGs) were identified, with IRF8 exhibiting significant expression differences and potential as a biomarker. Functional enrichment analysis revealed pathways associated with immune response. Validation through qRT-PCR and WB confirmed that the IRF8 gene and its protein exhibited elevated expression levels in the kidneys of lupus mice compared to control groups. The diagnostic classifier revealed impressive accuracy in differentiating LN from control samples, achieving a notable area under the curve values across various datasets. Additionally, immune infiltration analysis indicated significant differences in the immune cell profiles between the LN and control groups.

CONCLUSION

IRF8 and its related genes show promise as biomarkers and therapeutic targets for LN. These findings contribute to a deeper understanding of the molecular mechanisms involved in LN and may support the development of precision medicine strategies for improved patient outcomes.

摘要

背景

系统性红斑狼疮的并发症狼疮性肾炎(LN)目前尚无可靠的诊断生物标志物或治疗方法。目的:我们旨在通过分析基因表达综合数据库中的GSE32591和GSE113342数据集,探索LN的基因网络和潜在生物标志物,重点关注与免疫相关的基因。

方法

我们使用差异表达分析、功能富集、蛋白质-蛋白质相互作用(PPI)网络构建以及CIBERSORT算法进行免疫浸润评估。为了验证IRF8基因在狼疮小鼠模型肾脏中的表达水平,我们使用了定量实时PCR(qRT-PCR)和蛋白质免疫印迹法(WB)。使用随机森林方法构建诊断分类器,以评估所选关键基因的诊断潜力。为了将我们的发现与潜在的治疗意义联系起来,我们使用药物-基因相互作用数据库预测靶向已鉴定基因的药物。

结果

鉴定出20个共差异表达基因(DEG),其中IRF8表现出显著的表达差异并具有作为生物标志物的潜力。功能富集分析揭示了与免疫反应相关的通路。通过qRT-PCR和WB验证证实,与对照组相比,IRF8基因及其蛋白在狼疮小鼠肾脏中的表达水平升高。诊断分类器在区分LN与对照样本方面显示出令人印象深刻的准确性,在各个数据集中均取得了显著的曲线下面积值。此外,免疫浸润分析表明LN组和对照组之间的免疫细胞谱存在显著差异。

结论

IRF8及其相关基因有望成为LN的生物标志物和治疗靶点。这些发现有助于更深入地了解LN所涉及的分子机制,并可能支持开发精准医学策略以改善患者预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12e6/11663682/e9debc3839d8/fphar-15-1468323-g001.jpg

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