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外周血单个核细胞与系统性红斑狼疮的关联:单细胞测序与孟德尔随机化分析的整合研究

Peripheral mononuclear cells and systemic lupus erythematosus association: Integrated study of single-cell sequencing and mendelian randomization analysis.

作者信息

Jian Shi, Li Han

机构信息

Department of Internal Medicine, Laibin People's Hospital, Laibin, Guangxi, China.

出版信息

Lupus. 2024 Dec;33(14):1526-1537. doi: 10.1177/09612033241292705. Epub 2024 Oct 15.

Abstract

OBJECTIVE

Systemic Lupus Erythematosus (SLE) is a complex autoimmune disease predominantly affecting women. Despite advances in treatment, recent developments in single-cell RNA sequencing (scRNA-seq) and Mendelian randomization (MR) continue to facilitate the need for precision medicine.

METHODS

Data obtained from the GSE135779 dataset underwent quality control, normalization, and dimensionality reduction using Seurat and MonacoImmuneData. Marker genes identified subgroups for analysis with CellChat and ClusterProfilerR. MR analysis of these genes' eQTLs was performed to establish causal relationships with SLE using IEU Open GWAS project data.

RESULTS

Single-cell analysis revealed distinct cellular subtypes and highlighted increased monocyte levels in patients with SLE. MR analysis revealed 12 genes, particularly interferon induced protein with tetratricopeptide repeats 3 (IFIT3), causally related to SLE. Gene ontology and the Kyoto encyclopedia of genes and genomes analyses identified pathways significant to SLE pathogenesis. Visualization of these genes at the single-cell level revealed their role in disease progression. Cell communication differences between IFIT3-positive and -negative groups were also observed.

CONCLUSION

This study demonstrates the potential of scRNA-seq and MR in identifying critical factors in SLE pathogenesis, thereby supporting the need for targeted therapies. Identifying IFIT3, among other genes, as central to SLE progression opens new avenues for precision medicine approaches in SLE management.

摘要

目的

系统性红斑狼疮(SLE)是一种主要影响女性的复杂自身免疫性疾病。尽管治疗取得了进展,但单细胞RNA测序(scRNA-seq)和孟德尔随机化(MR)的最新进展仍推动了精准医学的需求。

方法

使用Seurat和MonacoImmuneData对从GSE135779数据集中获得的数据进行质量控制、标准化和降维。通过CellChat和ClusterProfilerR确定标记基因以分析亚组。利用IEU Open GWAS项目数据对这些基因的表达数量性状位点(eQTL)进行MR分析,以建立与SLE的因果关系。

结果

单细胞分析揭示了不同的细胞亚型,并突出显示了SLE患者中单核细胞水平的升高。MR分析揭示了12个基因,特别是含四肽重复序列的干扰素诱导蛋白3(IFIT3)与SLE存在因果关系。基因本体论和京都基因与基因组百科全书分析确定了对SLE发病机制具有重要意义的途径。在单细胞水平上对这些基因的可视化显示了它们在疾病进展中的作用。还观察到IFIT3阳性和阴性组之间的细胞通讯差异。

结论

本研究证明了scRNA-seq和MR在识别SLE发病机制中的关键因素方面的潜力,从而支持了靶向治疗的必要性。将IFIT3等基因确定为SLE进展的核心,为SLE管理中的精准医学方法开辟了新途径。

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