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

IF 1.3 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Yukai Zhang, Chenwei Zhang, Gang Liu, Peiyun He, Binbin Wan
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引用次数: 0

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.

免疫细胞与 IgA 肾病之间因果关系的基因预测:双向孟德尔随机化研究
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于疾病的整个发展过程。随着全基因组关联研究的发展,人们对该病的发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。这项双样本 MR 研究使用全基因组关联研究(GWAS)目录中的免疫细胞特征和芬兰基因数据集中的 IgA 肾病的摘要统计来研究双向因果关系。该研究主要采用反方差加权法来得出主要结果。此外,通过异质性分析、多向性分析和多重敏感性测试,进一步增强了结果的稳健性。在对错误发现率(FDR)进行调整后,研究结果显示,终末分化的 CD8+ T 细胞上的 CD8(OR = 0.77,95% 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)被认为是一个保护因素,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)被认为是风险因素。本研究采用基因变异作为工具变量,探讨免疫细胞与 IgA 肾病之间的遗传关联,旨在为该疾病的早期预防和个性化治疗提供新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medicine
Medicine 医学-医学:内科
CiteScore
2.80
自引率
0.00%
发文量
4342
审稿时长
>12 weeks
期刊介绍: Medicine is now a fully open access journal, providing authors with a distinctive new service offering continuous publication of original research across a broad spectrum of medical scientific disciplines and sub-specialties. As an open access title, Medicine will continue to provide authors with an established, trusted platform for the publication of their work. To ensure the ongoing quality of Medicine’s content, the peer-review process will only accept content that is scientifically, technically and ethically sound, and in compliance with standard reporting guidelines.
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