Zeng Wenxing, Wu Yuheng, Liang Xiaoye, Cun Dejun, Ma Luyao, Zhang Jingtao, Huang Feng, Jiang Ziwei
First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Seventh Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Front Cell Infect Microbiol. 2024 Apr 9;14:1338989. doi: 10.3389/fcimb.2024.1338989. eCollection 2024.
Recent studies have emphasized the role of gut microbiota in the onset and progression of osteomyelitis. However, the exact types of gut microbiota and their mechanisms of action remain unclear. Additionally, there is a lack of theoretical support for treatments that improve osteomyelitis by altering the gut microbiota.
In our study, we utilized the largest genome-wide association study (GWAS) meta-analysis to date from the MiBioGen consortium, involving 13,400 participants. The GWAS data for osteomyelitis were sourced from the UK Biobank, which included 4,836 osteomyelitis cases and 486,484 controls. We employed a two-sample Mendelian randomization framework for a detailed investigation into the causal relationship between gut microbiota and osteomyelitis. Our methods included inverse variance weighting, MR-Egger, weighted median, and weighted mode approaches. Additionally, we applied Cochran's Q statistic to assess the heterogeneity of the instrumental variable.
At the class level, Bacilli and Bacteroidia were positively correlated with the risk of osteomyelitis. At the order level, only showed a positive association with osteomyelitis. At the genus level, an increased abundance of , , and was positively associated with the risk of osteomyelitis, whereas was negatively associated. Sensitivity analyses showed no evidence of heterogeneity or pleiotropy.
This study reveals that classes Bacilli and Bacteroidia, order Bacteroidales, and genera , , and are implicated in increasing the risk of osteomyelitis, while the genus is associated with a reduced risk. Future investigations are warranted to elucidate the precise mechanisms through which these specific bacterial groups influence the pathophysiology of osteomyelitis.
近期研究强调了肠道微生物群在骨髓炎发病和进展中的作用。然而，肠道微生物群的确切类型及其作用机制仍不清楚。此外，通过改变肠道微生物群来改善骨髓炎的治疗方法缺乏理论支持。
在我们的研究中，我们利用了来自MiBioGen联盟的迄今为止最大规模的全基因组关联研究（GWAS）荟萃分析，涉及13400名参与者。骨髓炎的GWAS数据来自英国生物银行，其中包括4836例骨髓炎病例和486484名对照。我们采用两样本孟德尔随机化框架，详细研究肠道微生物群与骨髓炎之间的因果关系。我们的方法包括逆方差加权、MR-Egger、加权中位数和加权模式方法。此外，我们应用 Cochr an's Q统计量来评估工具变量的异质性。
在分类水平上，芽孢杆菌纲和拟杆菌纲与骨髓炎风险呈正相关。在目水平上，只有拟杆菌目与骨髓炎呈正相关。在属水平上，粪杆菌属、双歧杆菌属和副拟杆菌属丰度增加与骨髓炎风险呈正相关，而罗氏菌属则呈负相关。敏感性分析未发现异质性或多效性的证据。
本研究表明，芽孢杆菌纲和拟杆菌纲、拟杆菌目以及粪杆菌属、双歧杆菌属和副拟杆菌属与骨髓炎风险增加有关，而罗氏菌属与风险降低有关。未来有必要进行进一步研究，以阐明这些特定细菌群影响骨髓炎病理生理学的确切机制。
