{"title":"Genetic association of gut microbiota with osteoarthritis: a multivariable Mendelian randomization study considering medication use.","authors":"Ming-Hui Huang, Cai-Xia Liu, Yi-Sheng Huang, Ting-Yu He, Zi-Qiang Dong","doi":"10.1099/jmm.0.001920","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background.</b> The interplay among human gut microbiota (GM) composition, osteoarthritis (OA) and OA-related medication use has been extensively discussed. However, to date, there has been no exploration of the genetic correlation among these three factors.<b>Hypothesis/Gap.</b> The potential causal link between GM and OA), and whether medications influence this relationship, remains unclear.<b>Methods.</b> We utilized bidirectional Mendelian randomization (MR) to explore the genetic associations between GM and OA. We leveraged genome-wide association study (GWAS) summary statistics from the MiBioGen and GO consortia, which provided data on GM taxa and OA cases, respectively. We identified outlier single-nucleotide polymorphisms using radial-MR and assessed causal associations using inverse variance weighting (IVW), weighted median and MR-Egger methods. Robust outcomes, consistent across these methods, were reported. We addressed potential biases through tests for horizontal pleiotropy and heterogeneity, supplemented by the Mendelian randomization pleiotropy residual sum and outlier method. Multivariable MR techniques were applied to adjust for OA medication use using UK Biobank data.<b>Results.</b> IVW estimates revealed a significant increase in hip OA risk for <i>Gordonibacter</i> and <i>Eubacterium</i> (brachy group) [odds ratio (OR): 1.09, 95% confidence interval (CI): 1.04-1.15, <i>P</i>=7.82E-04; OR: 1.09, 95% CI: 1.03-1.16, <i>P</i>=4.67E-03, respectively]. Conversely, <i>Senegalimassilia</i>, <i>Slackia</i> and <i>Streptococcus</i> exhibited protective effects (OR: 0.88, <i>P</i>=2.14E-02; OR: 0.88, <i>P</i>=3.33E-02; 0.91, <i>P</i>=4.29E-02). <i>Sutterella</i> increased the risk of knee OA (OR=1.15, 95% CI: 1.07-1.25, <i>P</i>=4.06E-04), while <i>Haemophilus</i> decreased it (OR=0.94, 95% CI: 0.88-1.00, <i>P</i>=4.26E-02). No significant heterogeneity or horizontal pleiotropy was observed in the results. Even after accounting for the potential confounding effect of medication, the results remained consistent. No reverse causation was detected.<b>Conclusions.</b> Our MR study reveals gut microbiome links to OA risk. Associations hold after adjusting for medication, indicating a potential causal connection between GM and OA.</p>","PeriodicalId":94093,"journal":{"name":"Journal of medical microbiology","volume":"73 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of medical microbiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1099/jmm.0.001920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background. The interplay among human gut microbiota (GM) composition, osteoarthritis (OA) and OA-related medication use has been extensively discussed. However, to date, there has been no exploration of the genetic correlation among these three factors.Hypothesis/Gap. The potential causal link between GM and OA), and whether medications influence this relationship, remains unclear.Methods. We utilized bidirectional Mendelian randomization (MR) to explore the genetic associations between GM and OA. We leveraged genome-wide association study (GWAS) summary statistics from the MiBioGen and GO consortia, which provided data on GM taxa and OA cases, respectively. We identified outlier single-nucleotide polymorphisms using radial-MR and assessed causal associations using inverse variance weighting (IVW), weighted median and MR-Egger methods. Robust outcomes, consistent across these methods, were reported. We addressed potential biases through tests for horizontal pleiotropy and heterogeneity, supplemented by the Mendelian randomization pleiotropy residual sum and outlier method. Multivariable MR techniques were applied to adjust for OA medication use using UK Biobank data.Results. IVW estimates revealed a significant increase in hip OA risk for Gordonibacter and Eubacterium (brachy group) [odds ratio (OR): 1.09, 95% confidence interval (CI): 1.04-1.15, P=7.82E-04; OR: 1.09, 95% CI: 1.03-1.16, P=4.67E-03, respectively]. Conversely, Senegalimassilia, Slackia and Streptococcus exhibited protective effects (OR: 0.88, P=2.14E-02; OR: 0.88, P=3.33E-02; 0.91, P=4.29E-02). Sutterella increased the risk of knee OA (OR=1.15, 95% CI: 1.07-1.25, P=4.06E-04), while Haemophilus decreased it (OR=0.94, 95% CI: 0.88-1.00, P=4.26E-02). No significant heterogeneity or horizontal pleiotropy was observed in the results. Even after accounting for the potential confounding effect of medication, the results remained consistent. No reverse causation was detected.Conclusions. Our MR study reveals gut microbiome links to OA risk. Associations hold after adjusting for medication, indicating a potential causal connection between GM and OA.
背景。人类肠道微生物群(GM)组成、骨关节炎(OA)和 OA 相关药物使用之间的相互作用已被广泛讨论。然而,迄今为止,还没有人探讨过这三个因素之间的遗传相关性。GM与OA之间的潜在因果关系以及药物是否会影响这种关系仍不清楚。我们利用双向孟德尔随机化(MR)来探索基因改变与 OA 之间的遗传关联。我们利用了 MiBioGen 和 GO 联盟提供的全基因组关联研究(GWAS)汇总统计数据,这两个联盟分别提供了转基因类群和 OA 病例的数据。我们使用径向多态性(radial-MR)方法确定了离群单核苷酸多态性,并使用逆方差加权(IVW)、加权中位数和 MR-Egger 方法评估了因果关联。报告了这些方法一致的可靠结果。我们通过水平多效性和异质性检验,并辅以孟德尔随机多效性残差总和和离群值法,解决了潜在的偏差问题。利用英国生物库数据,采用多变量MR技术对OA药物使用情况进行了调整。IVW估计结果显示,Gordonibacter和Eubacterium(brachy组)的髋关节OA风险显著增加[几率比(OR):1.09,95%置信区间(CI):1.04-1.15,P=7.82E-04;OR:1.09,95%置信区间(CI):1.03-1.16,P=4.67E-03]。相反,Senegalimassilia、Slackia 和 Streptococcus 具有保护作用(OR:0.88,P=2.14E-02;OR:0.88,P=3.33E-02;0.91,P=4.29E-02)。沙特氏菌会增加膝关节 OA 的风险(OR=1.15,95% CI:1.07-1.25,P=4.06E-04),而嗜血杆菌会降低膝关节 OA 的风险(OR=0.94,95% CI:0.88-1.00,P=4.26E-02)。研究结果未发现明显的异质性或横向多义性。即使考虑了药物的潜在混杂效应,结果仍保持一致。没有发现反向因果关系。我们的MR研究揭示了肠道微生物组与OA风险的联系。在对药物进行调整后,相关性仍然存在,这表明肠道微生物组与 OA 之间存在潜在的因果关系。