Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing University of Chinese Medicine, Jiangsu, Nanjing, P.R. China.
Ren Fail. 2024 Dec;46(2):2387208. doi: 10.1080/0886022X.2024.2387208. Epub 2024 Aug 1.
Previous observational studies have indicated associations between various immune cells and diabetic nephropathy (DN). However, the causality remains unclear. We aimed to further evaluate the causal association between immune cells and DN using bidirectional two-sample Mendelian randomization (MR) analysis.
The DN data were retrieved from the IEU OpenGWAS Project database, while the data for 731 immune cells were sourced from GWAS summary statistics by Orru ̀ et al. The investigation into the causal relationship between immune cells and DN employed the inverse variance weighted (IVW), weighted median (WME), and MR-Egger methods. The stability and reliability of the findings underwent evaluation through Cochran's Q test, MR-Egger intercept's -value, MR-PRESSO, and Leave-One-Out (LOO) method.
The IVW estimates suggested a positive causal effect of CD25 on IgD-CD38dim B cell, CD25 on naive-mature B cell, CD127 on granulocyte, SSC-A on HLA DR + Natural Killer, HLA DR on plasmacytoid Dendritic Cell, and HLA DR on Dendritic Cell on DN. Conversely, the abundance of Myeloid Dendritic Cell, CD62L- Dendritic Cell %Dendritic Cell, CD86+ myeloid Dendritic Cell %Dendritic Cell, CD14- CD16-, CX3CR1 on CD14- CD16-, and SSC-A on CD4+ T cell had negative causal effects on DN. However, after correcting the value for significant causality results using the FDR method, it was concluded that only Myeloid Dendritic Cells had a causal relationship with DN (FDR- = 0.041), while the other immune cells showed no significant association with DN, so their relationship was suggestive. The results were stable with no observed horizontal pleiotropy and heterogeneity. Reverse MR analysis indicated no causal relationship between DN and the increased risk of positively identified immune cells.
This study provides an initial insight into the genetic perspective of the causal relationship between immune cells and DN. It establishes a crucial theoretical foundation for future endeavors in precision medicine and individualized treatment.
先前的观察性研究表明,各种免疫细胞与糖尿病肾病(DN)之间存在关联。然而,因果关系尚不清楚。我们旨在使用双向两样本孟德尔随机化(MR)分析进一步评估免疫细胞与 DN 之间的因果关系。
DN 数据取自 IEU OpenGWAS 项目数据库,而 731 种免疫细胞的数据则来自 Orru 等人的 GWAS 汇总统计数据。使用逆方差加权(IVW)、加权中位数(WME)和 MR-Egger 方法研究免疫细胞与 DN 之间的因果关系。通过 Cochran's Q 检验、MR-Egger 截距 - 值、MR-PRESSO 和留一法(LOO)评估结果的稳定性和可靠性。
IVW 估计表明,CD25 对 IgD-CD38dim B 细胞、CD25 对幼稚成熟 B 细胞、CD127 对粒细胞、SSC-A 对 HLA DR+自然杀伤细胞、HLA DR 对浆细胞样树突状细胞和 HLA DR 对树突状细胞具有正向因果效应。相反,髓样树突状细胞、CD62L-树突状细胞 %树突状细胞、CD86+髓样树突状细胞 %树突状细胞、CD14-CD16-、CX3CR1 对 CD14-CD16-和 SSC-A 对 CD4+T 细胞的丰度对 DN 具有负向因果效应。然而,使用 FDR 方法校正具有显著因果关系结果的 值后,结果表明只有髓样树突状细胞与 DN 具有因果关系(FDR-=0.041),而其他免疫细胞与 DN 无显著关联,因此其关系具有提示性。结果稳定,未观察到水平异质性。反向 MR 分析表明,DN 与阳性鉴定免疫细胞的风险增加之间没有因果关系。
本研究提供了免疫细胞与 DN 之间因果关系的遗传视角的初步见解。它为未来精准医学和个体化治疗的努力奠定了重要的理论基础。