Department of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China.
Cytokine. 2024 Jul;179:156633. doi: 10.1016/j.cyto.2024.156633. Epub 2024 May 10.
Previous investigations have explored the associations between immune cell signatures and osteoarthritis (OA); however, causality remains unclear. This study employs an integrated analysis, combining bidirectional Mendelian randomization (MR) and Bayesian colocalization (Coloc), to investigate causal relationships between 731 immune cells signatures and OA, identifying shared causal variants.
Utilizing publicly available summary data, this study primarily employs inverse variance weighting (IVW). Supplementary methods include MR-Egger regression, weighted median, weight mode, and simple mode. Various sensitivity tests, including Cochran's Q test, MR pleiotropy Residual Sum and Outlier, and leave-one-out tests, were conducted to assess the robustness of the analysis results. Coloc was employed to identify shared causal genetic variants among potential associations.
IVW analysis revealed 196 immune cell signatures potentially linked to OA across diverse subtypes. Reverse MR analyses indicated the causal impact of OA on the levels of 140 immune cell signatures, with subtype-specific variations. Notably, several specific associations, including CD64 on CD14-CD16 + monocyte for Hip OA (OR = 1.0593, 95 % CI: 1.0260-1.0938, P = 0.0004), HLA-DR on CD14 + CD16- monocyte (OR = 0.9664, 95 % CI: 0.9497-0.9834, P = 0.0001), HLA-DR on CD14 + monocyte (OR = 0.9680, 95 % CI: 0.9509-0.9853, P = 0.0003) in the Knee or Hip OA, PDL-1 on CD14-CD16 + monocyte by All OA (OR = 1.7091, 95 %CI:1.2494-2.3378, P = 0.0008), and herpesvirus entry mediator on effector memory CD4 + T cell by Spine OA (OR = 0.5200, 95 %CI:0.3577-0.7561, P = 0.0006) remained significant post-Bonferroni correction. Sensitivity tests validated the credibility of the IVW analysis. Additionally, Coloc revealed several potential associations among shared genetic variants, including rs115328872, rs1800973, and rs317667.
Our findings provide evidence for the potential involvement of immune cell signatures in OA development, revealing avenues for early prevention and innovative therapeutic strategies.
先前的研究已经探讨了免疫细胞特征与骨关节炎(OA)之间的关联,但因果关系仍不清楚。本研究采用综合分析方法,结合双向孟德尔随机化(MR)和贝叶斯共定位(Coloc),探讨了 731 种免疫细胞特征与 OA 之间的因果关系,确定了共享的因果变异。
利用公开的汇总数据,本研究主要采用逆方差加权(IVW)。补充方法包括 MR-Egger 回归、加权中位数、加权模式和简单模式。进行了各种敏感性测试,包括 Cochrane Q 检验、MR 多效残余和异常值、以及逐一剔除测试,以评估分析结果的稳健性。Coloc 用于鉴定潜在关联中共享的因果遗传变异。
IVW 分析显示,196 种免疫细胞特征可能与各种亚型的 OA 有关。反向 MR 分析表明,OA 对 140 种免疫细胞特征的水平有因果影响,存在亚型特异性变化。值得注意的是,一些特定的关联,包括 Hip OA 中 CD14-CD16+单核细胞上的 CD64(OR=1.0593,95%CI:1.0260-1.0938,P=0.0004)、CD14+CD16-单核细胞上的 HLA-DR(OR=0.9664,95%CI:0.9497-0.9834,P=0.0001)、CD14+单核细胞上的 HLA-DR(OR=0.9680,95%CI:0.9509-0.9853,P=0.0003)在膝关节或髋关节 OA 中,所有 OA 中 CD14-CD16+单核细胞上的 PDL-1(OR=1.7091,95%CI:1.2494-2.3378,P=0.0008),以及脊柱 OA 中效应记忆 CD4+T 细胞上的疱疹病毒进入介体(OR=0.5200,95%CI:0.3577-0.7561,P=0.0006)在经 Bonferroni 校正后仍然显著。敏感性测试验证了 IVW 分析的可信度。此外,Coloc 揭示了几个潜在的共享遗传变异之间的关联,包括 rs115328872、rs1800973 和 rs317667。
我们的研究结果为免疫细胞特征在 OA 发展中的潜在作用提供了证据,为早期预防和创新治疗策略开辟了新的途径。