Tang Chaoqun, Li Lei, Jin Xin, Wang Jinfeng, Zou Debao, Hou Yan, Yu Xin, Wang Zhizhou, Jiang Hongjiang
The First Clinical Medical School, Anhui University of Chinese Medicine, Hefei, Anhui, People's Republic of China.
Department of Orthopedics, Shandong Wendeng Osteopathic Hospital, Wendeng, Weihai, Shandong, People's Republic of China.
Orthop Res Rev. 2024 May 13;16:125-136. doi: 10.2147/ORR.S454211. eCollection 2024.
The relationship between gout and gut microbiota has attracted significant attention in current research. However, due to the diverse range of gut microbiota, the specific causal effect on gout remains unclear. This study utilizes Mendelian randomization (MR) to investigate the causal relationship between gut microbiota and gout, aiming to elucidate the underlying mechanism of microbiome-mediated gout and provide valuable guidance for clinical prevention and treatment.
The largest genome-wide association study meta-analysis conducted by the MiBioGen Consortium (n=18,340) was utilized to perform a two-sample Mendelian randomization investigation on aggregate statistics of intestinal microbiota. Summary statistics for gout were utilized from the data released by EBI. Various methods, including inverse variance weighted, weighted median, weighted model, MR-Egger, and Simple-mode, were employed to assess the causal relationship between gut microbiota and gout. Reverse Mendelian randomization analysis revealed a causal association between bacteria and gout in forward Mendelian randomization analysis. Cochran's Q statistic was used to quantify instrumental variable heterogeneity.
The inverse variance weighted estimation revealed that exhibited a slight protective effect on gout, while the presence of is associated with a marginal increase in the risk of gout. According to the reverse Mendelian Randomization results, no significant causal relationship between gout and gut microbiota was observed. No significant heterogeneity of instrumental variables or level pleiotropy was detected.
Our MR analysis revealed a potential causal relationship between the development of gout and specific gut microbiota; however, the causal effect was not robust, and further research is warranted to elucidate its underlying mechanism in gout development. Considering the significant association between diet, gut microbiota, and gout, these findings undoubtedly shed light on the mechanisms of microbiota-mediated gout and provide new insights for translational research on managing and standardizing treatment for this condition.
痛风与肠道微生物群之间的关系在当前研究中备受关注。然而，由于肠道微生物群种类繁多，其对痛风的具体因果效应仍不明确。本研究利用孟德尔随机化（MR）方法探讨肠道微生物群与痛风之间的因果关系，旨在阐明微生物群介导痛风的潜在机制，并为临床预防和治疗提供有价值的指导。
利用MiBioGen联盟进行的最大规模全基因组关联研究荟萃分析（n = 18340），对肠道微生物群的汇总统计数据进行两样本孟德尔随机化研究。痛风的汇总统计数据来自欧洲生物信息研究所（EBI）发布的数据。采用多种方法，包括逆方差加权法、加权中位数法、加权模型法、MR-Egger法和简单模式法，评估肠道微生物群与痛风之间的因果关系。反向孟德尔随机化分析揭示了正向孟德尔随机化分析中细菌与痛风之间的因果关联。 Cochr an's Q统计量用于量化工具变量的异质性。
逆方差加权估计显示， 对痛风有轻微保护作用，而 的存在与痛风风险的小幅增加有关。根据反向孟德尔随机化结果，未观察到痛风与肠道微生物群之间存在显著因果关系。未检测到工具变量的显著异质性或水平多效性。
我们的MR分析揭示了痛风发展与特定肠道微生物群之间存在潜在因果关系；然而，因果效应并不稳健，需要进一步研究以阐明其在痛风发展中的潜在机制。考虑到饮食、肠道微生物群与痛风之间的显著关联，这些发现无疑为微生物群介导痛风的机制提供了线索，并为该疾病的管理和标准化治疗的转化研究提供了新的见解。
