Jian Yongzhi, Lyu Yanmin, Hashemolhosseini Said
Institute of Biochemistry, Medical Faculty, Friedrich-Alexander-University of Erlangen-Nürnberg, 91054 Erlangen, Germany.
Division of Molecular and Experimental Surgery, Translational Research Center, Universitätsklinikum Erlangen, Friedrich-Alexander-University of Erlangen-Nürnberg, 91054 Erlangen, Germany.
Biology (Basel). 2024 Sep 23;13(9):748. doi: 10.3390/biology13090748.
This study explored the potential causal relationship between ibuprofen (IBU) use and the risk of developing osteoarthritis, a prevalent joint disorder characterized by pain and stiffness. We conducted a two-sample MR analysis using four distinct OA GWAS datasets as outcomes and single-nucleotide polymorphisms (SNPs) associated with IBU metabolism as exposures. The inverse variance weighted (IVW) and weighted median methods were utilized to assess the causal association by meta-analysis, while pleiotropy and heterogeneity were evaluated using MR-Egger regression and Cochran's Q statistics. The MR analysis provided strong evidence for a causal association between IBU use and an increased risk of OA. A meta-analysis of the IVW and weighted median results across all datasets demonstrated an OR = 1.116 (95% CI = 1.063-1.170) and an OR = 1.110 (95% CI = 1.041-1.184). The consistency of the results obtained from different methods enhanced the reliability of the findings. Low pleiotropy and minimal heterogeneity were observed, further validating the results. The study supports a causal link between IBU use and an increased risk of OA, suggesting that IBU may accelerate the progression of OA while relieving symptoms. These findings highlight the importance of cautious use of IBU in clinical practice, especially considering its potential impact on long-term joint health.
本研究探讨了使用布洛芬（IBU）与患骨关节炎风险之间的潜在因果关系，骨关节炎是一种以疼痛和僵硬为特征的常见关节疾病。我们使用四个不同的骨关节炎全基因组关联研究（GWAS）数据集作为结果，以及与IBU代谢相关的单核苷酸多态性（SNP）作为暴露因素，进行了两样本孟德尔随机化（MR）分析。采用逆方差加权（IVW）和加权中位数方法通过荟萃分析评估因果关联，同时使用MR-Egger回归和 Cochr an Q统计量评估多效性和异质性。MR分析为使用IBU与骨关节炎风险增加之间的因果关联提供了有力证据。对所有数据集的IVW和加权中位数结果进行的荟萃分析显示，比值比（OR）=1.116（95%置信区间[CI]=1.063-1.170），OR =1.110（95%CI =1.041-1.184）。不同方法获得的结果的一致性提高了研究结果的可靠性。观察到低多效性和最小异质性，进一步验证了结果。该研究支持使用IBU与骨关节炎风险增加之间存在因果联系，表明IBU可能在缓解症状的同时加速骨关节炎的进展。这些发现凸显了在临床实践中谨慎使用IBU的重要性，尤其是考虑到其对长期关节健康的潜在影响。
