Department of Bone Surgery, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
Zhongshan School of Medicine, Sun Yat-sen University, Ministry of Education, Guangzhou, Guangdong Province, China.
Medicine (Baltimore). 2024 Nov 1;103(44):e40271. doi: 10.1097/MD.0000000000040271.
The pathogenesis of frozen shoulder (FS) remains unclear, and current research primarily focuses on immune responses. Increasing evidence suggests that immune cells play a significant role in FS development. However, the causal relationship between the two remains poorly understood. Therefore, we aimed to investigate this using Mendelian randomization (MR) analysis. Single nucleotide polymorphisms closely associated with 731 immune phenotypes were obtained from publicly available GWAS datasets as instrumental variables. FS was used as the outcome with a sample size of 451,099 cases. Causal effects were analyzed using the inverse variance-weighted method. We conducted sensitivity tests, including the intercept of the MR-Egger and MR-PRESSO analyses. The presence of heterogeneity was evaluated using Cochran Q test. We identified potential causal relationships in terms of increased risk for FS with 5 immune phenotypes: CD25++ CD45RA+ CD4 not regulatory T cell %CD4+ T cells (odds ratio [OR] = 1.0273, 95% confidence interval [CI]: 1.0093-1.0457, P = .0028), CD25++ CD45RA+ CD4 not regulatory T cell %T cell (OR = 1.0240, 95% CI: 1.0057-1.0427, P = .0098), CD127 on CD28+ CD4+ T cells (OR = 1.0398, 95% CI: 1.0121-1.0682, P = .0046), CD4 on human leukocyte antigen DR+ CD4+ T cells (OR = 1.0795, 95% CI: 1.0316-1.2195, P = .0009), and human leukocyte antigen DR on CD14- CD16+ monocytes (OR = 1.0533, 95% CI: 1.0136-1.0945, P = .0081). Few significant heterogeneities or horizontal pleiotropies were observed. Through MR analysis, we identified distinct 5 types of immune cells that were positively correlated with the occurrence and development of FS, providing guidance for clinical intervention in FS.
冻结肩(FS)的发病机制尚不清楚,目前的研究主要集中在免疫反应上。越来越多的证据表明,免疫细胞在 FS 的发展中起着重要作用。然而,两者之间的因果关系仍知之甚少。因此,我们旨在使用孟德尔随机化(MR)分析来研究这一点。从公开的 GWAS 数据集获得与 731 种免疫表型密切相关的单核苷酸多态性作为工具变量。FS 用作结果,样本量为 451099 例。使用逆方差加权法分析因果效应。我们进行了敏感性测试,包括 MR-Egger 和 MR-PRESSO 分析的截距。使用 Cochran Q 检验评估异质性的存在。我们用 5 种免疫表型来确定与 FS 风险增加相关的潜在因果关系:CD25++ CD45RA+ CD4 非调节性 T 细胞%CD4+T 细胞(比值比 [OR] = 1.0273,95%置信区间 [CI]:1.0093-1.0457,P = 0.0028),CD25++ CD45RA+ CD4 非调节性 T 细胞%T 细胞(OR = 1.0240,95%CI:1.0057-1.0427,P = 0.0098),CD28+CD4+T 细胞上的 CD127(OR = 1.0398,95%CI:1.0121-1.0682,P = 0.0046),人类白细胞抗原 DR+CD4+T 细胞上的 CD4(OR = 1.0795,95%CI:1.0316-1.2195,P = 0.0009)和 CD14-CD16+单核细胞上的人类白细胞抗原 DR(OR = 1.0533,95%CI:1.0136-1.0945,P = 0.0081)。观察到很少有显著的异质性或水平的多效性。通过 MR 分析,我们确定了 5 种不同类型的免疫细胞与 FS 的发生和发展呈正相关,为 FS 的临床干预提供了指导。