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免疫细胞与 IgA 肾病因果关系的基因预测:一项双向孟德尔随机化研究。

Gene prediction of the causal relationship between immune cells and IgA nephropathy: A bidirectional Mendelian randomization study.

机构信息

First Clinical Medical College, Shanxi Medical University, Taiyuan, China.

Department of Infection Control, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.

出版信息

Medicine (Baltimore). 2024 Nov 15;103(46):e40480. doi: 10.1097/MD.0000000000040480.

Abstract

IgA nephropathy is the most common primary glomerular disease worldwide, with inflammation and autoimmune response mechanisms permeating the entire disease development process. The advancement of genome-wide association studies has enabled deeper understanding of the disease mechanisms and genetic susceptibility. Therefore, this study aims to explore the causal relationship between 731 immune cell types and the disease through Mendelian randomization (MR) analysis. This 2-sample MR study investigated bidirectional causal relationships using summary statistics for immune cells characteristics from the Genome-Wide Association Study (GWAS) catalog and IgA nephropathy from the FinnGen dataset. The study primarily utilized the Inverse Variance Weighted method for its main outcome. Additionally, the robustness of the results is further enhanced by analyses of heterogeneity, pleiotropy, and multiple sensitivity tests. After adjusting for false discovery rate (FDR), the study results revealed a bidirectional causal relationship between CD8 on terminally differentiated CD8+ T cells (OR = 0.77, 95% CI = 0.67-0.88, P = .0001) and CD4 on CD28+ CD4+ T cells (OR = 0.75, 95% CI = 0.64-0.87, P = .0001) with the risk of IgA nephropathy. CD64 on CD14+ CD16+ monocytes (OR = 0.66, 95% CI = 0.51-0.85, P = .0013) is considered a protective factor, while the percentages of CD8+ and CD8dim T cells (1.38, 95% CI = 1.17-1.63, P = .0002) in leukocytes are viewed as risk factors. This study employed genetic variation as an instrumental variable to explore the genetic association between immune cells and IgA nephropathy, aiming to offer new insights into early prevention and personalized treatment of the disease.

摘要

IgA 肾病是全球最常见的原发性肾小球疾病,炎症和自身免疫反应机制贯穿整个疾病发展过程。全基因组关联研究的进展使人们对疾病机制和遗传易感性有了更深入的了解。因此,本研究旨在通过孟德尔随机化(MR)分析探讨 731 种免疫细胞类型与疾病之间的因果关系。这项两样本 MR 研究使用来自全基因组关联研究(GWAS)目录的免疫细胞特征汇总统计数据和 FinnGen 数据集的 IgA 肾病,来研究双向因果关系。该研究主要使用逆方差加权法作为其主要结果。此外,通过异质性、多效性和多种敏感性测试分析,进一步增强了结果的稳健性。在调整错误发现率(FDR)后,研究结果表明,终末分化的 CD8+T 细胞上的 CD8(比值比 [OR] = 0.77,95%置信区间 [CI] = 0.67-0.88,P =.0001)和 CD28+CD4+T 细胞上的 CD4(OR = 0.75,95%CI = 0.64-0.87,P =.0001)与 IgA 肾病的风险之间存在双向因果关系。CD14+CD16+单核细胞上的 CD64(OR = 0.66,95%CI = 0.51-0.85,P =.0013)被认为是保护因素,而白细胞中 CD8+和 CD8dim T 细胞的百分比(1.38,95%CI = 1.17-1.63,P =.0002)则被视为风险因素。本研究利用遗传变异作为工具变量,探讨免疫细胞与 IgA 肾病之间的遗传关联,旨在为疾病的早期预防和个体化治疗提供新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bf5/11575961/187b70229c83/medi-103-e40480-g001.jpg

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