Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; International Center of Microvascular Medicine, Chinese Academy of Medical Sciences, Beijing, China; Department of Pathology and Pathophysiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; International Center of Microvascular Medicine, Chinese Academy of Medical Sciences, Beijing, China; Department of Pathology and Pathophysiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Hum Immunol. 2024 Jul;85(4):110830. doi: 10.1016/j.humimm.2024.110830. Epub 2024 Jun 10.
Immunoglobulin A nephropathy (IgAN) is an autoimmune disease characterized by the production of galactose‑deficient IgA1 (Gd‑IgA1) and the deposition of immune complexes in the kidney. Exploring the landscape of immune dysregulation in IgAN is valuable for pathogenesis and disease treatment. We conducted Mendelian randomization (MR) to assess the causal correlations between inflammation and IgAN.
Based on available genetic datasets, we investigated potential causal links between inflammation and the risk of IgAN using two-sample MR. We used genome-wide association study (GWAS) summary statistics of 5 typical inflammation markers, 41 inflammatory cytokines, and 731 immune cell signatures, accessed from the public GWAS Catalog. The primary method employed for MR analysis was Inverse Variance Weighted (IVW). To confirm consistency across results, four supplementary MR methods were also conducted: MR-Egger, Weighted Median, Weighted Mode, and Simple Mode. To assess pleiotropy, we used the MR-Egger regression intercept test and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test. Cochrane's Q statistic was applied to evaluate heterogeneity. Additionally, the stability of the MR findings was verified through the leave-one-out sensitivity analysis.
This study revealed that interleukin-7 (IL-7) and stem cell growth factor beta (SCGF-β) were possibly associated with the risk of IgAN according to the IVW approach, with estimated odds ratios (OR) of 1.059 (95 % confidence interval [CI] 1.015 to 1.104, P = 0.008) and 1.043 (95 % CI 1.002 to 1.085, P = 0.037). Five immune traits were identified that might be linked to IgAN risk, each with P-values below 0.01, including natural killer T %T cell (OR = 1.058, 95 % CI: 1.020 to 1.097, P = 0.002), natural killer T %lymphocyte (OR = 1.055, 95 % CI: 1.016 to 1.096, P = 0.006), CD25 CD8 T cell %T cell (OR = 1.057, 95 % CI: 1.016 to 1.099, P = 0.006), CD3 on effector memory CD4 T cell (OR = 1.045, 95 % CI: 1.019 to 1.071, P = 0.001), and CD3 on CD28 CD45RA CD8 T cell (OR = 1.042, 95 % CI: 1.016 to 1.068, P = 0.001). CD4 on central memory CD4 T cell might be a protective factor for IgAN (OR = 0.922, 95 % CI: 0.875 to 0.971, P = 0.002). Moreover, IgAN may be implicated in a high risk of elevated granulocyte colony-stimulating factor (G-CSF) (OR = 1.114, 95 % CI 1.002 to 1.239, P = 0.046).
Our study revealed exposures among typical inflammation markers, inflammatory cytokines, and immune cell signatures that may potentially linked to IgAN risk by MR analysis. This insight may advance our understanding of the etiology of IgAN and support the development of targeted therapeutic strategies.
免疫球蛋白 A 肾病(IgAN)是一种自身免疫性疾病,其特征在于产生半乳糖缺乏的 IgA1(Gd-IgA1)和免疫复合物在肾脏中的沉积。探索 IgAN 中免疫失调的情况对于发病机制和疾病治疗具有重要意义。我们进行了孟德尔随机化(MR)来评估炎症与 IgAN 风险之间的因果关系。
基于现有的遗传数据集,我们使用两样本 MR 研究了 5 种典型炎症标志物、41 种炎症细胞因子和 731 种免疫细胞特征的炎症与 IgAN 风险之间的潜在因果关系。我们使用了来自公共 GWAS 目录的全基因组关联研究(GWAS)汇总统计数据。MR 分析的主要方法是逆方差加权(IVW)。为了确认结果的一致性,还进行了四种补充 MR 方法:MR-Egger、加权中位数、加权模式和简单模式。为了评估 pleiotropy,我们使用了 MR-Egger 回归截距检验和 Mendelian Randomization Pleiotropy RESidual Sum and Outlier(MR-PRESSO)检验。Cochrane's Q 统计量用于评估异质性。此外,通过留一法敏感性分析验证了 MR 结果的稳定性。
这项研究表明,根据 IVW 方法,白细胞介素 7(IL-7)和干细胞生长因子β(SCGF-β)可能与 IgAN 的风险相关,估计的优势比(OR)分别为 1.059(95%置信区间 [CI] 1.015 至 1.104,P=0.008)和 1.043(95% CI 1.002 至 1.085,P=0.037)。确定了五种可能与 IgAN 风险相关的免疫特征,每个特征的 P 值均低于 0.01,包括自然杀伤 T 细胞%T 细胞(OR=1.058,95%CI:1.020 至 1.097,P=0.002)、自然杀伤 T 细胞%淋巴细胞(OR=1.055,95%CI:1.016 至 1.096,P=0.006)、CD25 CD8 T 细胞%T 细胞(OR=1.057,95%CI:1.016 至 1.099,P=0.006)、CD3 在外周效应记忆 CD4 T 细胞(OR=1.045,95%CI:1.019 至 1.071,P=0.001)和 CD3 在 CD28 CD45RA CD8 T 细胞(OR=1.042,95%CI:1.016 至 1.068,P=0.001)。中央记忆 CD4 T 细胞上的 CD4 可能是 IgAN 的保护因素(OR=0.922,95%CI:0.875 至 0.971,P=0.002)。此外,IgAN 可能与升高的粒细胞集落刺激因子(G-CSF)(OR=1.114,95%CI 1.002 至 1.239,P=0.046)风险相关。
我们的研究通过 MR 分析揭示了典型炎症标志物、炎症细胞因子和免疫细胞特征中的暴露情况,这些情况可能与 IgAN 风险有关。这一发现可能有助于我们更好地理解 IgAN 的发病机制,并支持靶向治疗策略的发展。