Department of Orthopedics, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Department of Gynecology, Hangzhou Women's Hospital, Hangzhou, Zhejiang, China.
Adv Rheumatol. 2024 Nov 1;64(1):83. doi: 10.1186/s42358-024-00425-4.
Immune factors are crucial in the pathogenesis of rheumatoid arthritis (RA), and immune cells play a key role in the development of RA. However, there is still disagreement regarding the specific roles of each type of immune cell in the pathological process of RA.
This study used bidirectional two-sample Mendelian randomization (MR) analysis to determine the causal relationship between immune cell characteristics and RA. Utilizing publicly available genetic data, we initially treated immune cell characteristics as exposures to investigate their causal effects on the risk of RA. Subsequently, we performed reverse two-sample MR using the positively selected cells from the initial analysis as outcomes, aiming to identify the core immune cells involved. Finally, a comprehensive sensitivity analysis was conducted to validate the robustness, heterogeneity, and horizontal pleiotropy of the results.
Using data from 731 immune cells as exposures and cell SNPs as instruments, we independently conducted two-sample MR analysis for each patient with RA. The main analytical method used was the IVW method, with a significance level set at P < 0.05 for inclusion. In total, we identified 42 immune cell phenotypes that were causally associated with the onset of RA. For the reverse MR analysis, we used RA as the exposure factor and focused on 42 immune cell phenotypes as outcomes. Our analysis revealed causal relationships between the onset of RA and 7 immune cell phenotypes. Among these, 6 showed positive causal relationships, while 1 exhibited a negative causal relationship.
Our study emphasized the causal relationship between immune cells and RA through bidirectional two-sample MR analysis, identifying the immune cells causally associated with RA.
免疫因素在类风湿关节炎(RA)发病机制中至关重要,免疫细胞在 RA 的发展中起着关键作用。然而,对于每种免疫细胞在 RA 病理过程中的具体作用仍存在分歧。
本研究采用双向两样本孟德尔随机化(MR)分析来确定免疫细胞特征与 RA 之间的因果关系。利用公开可用的遗传数据,我们最初将免疫细胞特征视为暴露因素,以研究其对 RA 风险的因果影响。随后,我们使用初始分析中正向选择的细胞作为结果进行反向两样本 MR,旨在确定涉及的核心免疫细胞。最后,进行全面的敏感性分析以验证结果的稳健性、异质性和水平偏倚。
使用 731 个免疫细胞作为暴露因素和细胞 SNP 作为工具,我们对每位 RA 患者分别进行了两样本 MR 分析。主要分析方法是 IVW 方法,纳入水平的显著性水平设定为 P < 0.05。总共确定了 42 种免疫细胞表型与 RA 的发病存在因果关系。对于反向 MR 分析,我们将 RA 作为暴露因素,并将 42 种免疫细胞表型作为结果进行重点关注。我们的分析揭示了 RA 发病与 7 种免疫细胞表型之间的因果关系。其中,6 种表现出正向因果关系,而 1 种表现出负向因果关系。
通过双向两样本 MR 分析,我们强调了免疫细胞与 RA 之间的因果关系,确定了与 RA 因果相关的免疫细胞。