The First Clinical Medical School, Shandong University of Traditional Chinese Medicine, Jinan, 250000, China.
Department of Minimally Invasive Orthopedics, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250000, China.
J Orthop Surg Res. 2024 Sep 30;19(1):613. doi: 10.1186/s13018-024-05059-2.
Although there is considerable evidence of a robust correlation between rheumatoid arthritis (RA) and carpal tunnel syndrome (CTS) in previous research, the causal link between the two remains a topic of controversy.
We conducted a two-sample Mendelian randomization (MR) study to explore the causal impact of RA on CTS. We obtained aggregate data from genome-wide association studies (GWAS) of CTS (ebi database and GEO database) and RA (FinnGen database). This study employed five MR analysis methods, with a focus on the inverse variance-weighted (IVW) method. Sensitivity analyses were conducted to ensure the robustness of the results of this study. Additionally, we performed reverse MR analysis.
We selected 84 and 78 single nucleotide polymorphisms (SNPs) significantly associated with RA from two databases as instrumental variables (IVs), respectively. Our results showed that RA patients have a higher risk of getting CTS regardless of whether the ebi database (IVW, OR = 1.045, 95% CI: 1.016-1.075, P = 0.002) or the GEO database (IVW, OR = 1.001, 95% CI: 1.001-1.002, P = 0.001) is selected for CTS data. However, the MR analysis showed no causal link between CTS and the increased risk of RA (ebi: IVW, OR = 1.084, 95% CI: 0.918-1.279, P = 0.341; GEO: IVW, OR = 1.968, 95% CI: 0.011-360.791, P = 0.799).
The analysis revealed that RA can increase the risk of CTS, but did not support the causal relationship that CTS can increase the risk of RA.
尽管之前的研究已经有大量证据表明类风湿关节炎（RA）与腕管综合征（CTS）之间存在密切关联，但两者之间的因果关系仍然存在争议。
我们进行了两样本孟德尔随机化（MR）研究，以探讨 RA 对 CTS 的因果影响。我们从 CTS（ebi 数据库和 GEO 数据库）和 RA（FinnGen 数据库）的全基因组关联研究（GWAS）中获得了汇总数据。本研究采用了五种 MR 分析方法，重点关注逆方差加权（IVW）方法。进行敏感性分析以确保本研究结果的稳健性。此外，我们进行了反向 MR 分析。
我们分别从两个数据库中选择了 84 个和 78 个与 RA 显著相关的单核苷酸多态性（SNP）作为工具变量（IVs）。我们的结果表明，无论选择 ebi 数据库（IVW，OR=1.045，95%CI：1.016-1.075，P=0.002）还是 GEO 数据库（IVW，OR=1.001，95%CI：1.001-1.002，P=0.001），RA 患者患 CTS 的风险更高。然而，MR 分析并未显示 CTS 与 RA 风险增加之间存在因果关系（ebi：IVW，OR=1.084，95%CI：0.918-1.279，P=0.341；GEO：IVW，OR=1.968，95%CI：0.011-360.791，P=0.799）。
分析表明 RA 会增加 CTS 的风险，但不支持 CTS 会增加 RA 风险的因果关系。
