Zhou Donghai, Jiao Wenyue, Shi Weiman, Wang Qiao, Chen Muzhi
Department of Rheumatology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Front Microbiol. 2024 Sep 2;15:1431367. doi: 10.3389/fmicb.2024.1431367. eCollection 2024.
Accumulating evidence suggests that an imbalance of gut microbiota is commonly observed in patients with rheumatoid arthritis (RA). However, it remains unclear whether gut microbiota dysbiosis is a cause or consequence of RA, and the mechanisms by which gut dysbiosis contributes to RA have not been fully understood. This study aimed to investigate the causal relationship between gut microbiota and metabolites with RA.
A two-sample Mendelian randomization analysis was performed to estimate the causality of gut microbiota and metabolites on RA. A genome-wide association study (GWAS) of 211 gut microbiota and 217 metabolites was used as the exposure, whereas RA was treated as the outcome. Inverse variance weighted (IVW) was regarded as the primary approach for calculating causal estimates. MR Egger method, Weighted median method, Simple mode method, and weighted mode method were used for sensitive analysis. Metabolic pathway analysis was performed via the web-based Metaconflict 5.0. Additionally, an animal study was undertaken to evaluate the results inferred by Mendelian randomization.
This study indicated that six gut microbiota taxa (, and ) were estimated to exert a positive impact on RA. Conversely, seven gut microbiota taxa () were estimated to exert a negative impact on RA. Three metabolites, namely indole-3-propionate (IPA), glycine and sphingomyelin (SM 16:1), were found to be linked to lower RA risk, while five metabolites (argininosuccinate, CE 20_4, TAG 58_8, PC 40_6, and LPC 20_4) were linked to higher RA risk. Additionally, four metabolic pathways were identified by metabolic pathway analysis. The collagen-induced arthritis (CIA) rats exhibited a higher relative abundance of and a lower abundance of ( < 0.05) than the healthy controls.
This study identified causal associations between specific gut microbiota, metabolites, and RA. These findings support the significant role of gut microbiota and metabolites in RA pathogenesis.
越来越多的证据表明,类风湿关节炎(RA)患者中普遍存在肠道微生物群失衡的情况。然而,肠道微生物群失调是RA的原因还是结果仍不清楚,肠道生态失调导致RA的机制也尚未完全了解。本研究旨在探讨肠道微生物群和代谢物与RA之间的因果关系。
进行了两样本孟德尔随机化分析,以评估肠道微生物群和代谢物对RA的因果关系。将一项对211种肠道微生物群和217种代谢物的全基因组关联研究(GWAS)用作暴露因素,而将RA作为结果。逆方差加权(IVW)被视为计算因果估计值的主要方法。采用MR Egger法、加权中位数法、简单模式法和加权模式法进行敏感性分析。通过基于网络的Metaconflict 5.0进行代谢途径分析。此外,还进行了一项动物研究以评估孟德尔随机化推断出的结果。
本研究表明,估计有六种肠道微生物分类群(、和)对RA有正向影响。相反,估计有七种肠道微生物分类群()对RA有负向影响。发现三种代谢物,即吲哚 - 3 - 丙酸(IPA)、甘氨酸和鞘磷脂(SM 16:1)与较低的RA风险相关,而五种代谢物(精氨琥珀酸、CE 20_4、TAG 58_8、PC 40_6和LPC 20_4)与较高的RA风险相关。此外,通过代谢途径分析确定了四条代谢途径。与健康对照相比,胶原诱导性关节炎(CIA)大鼠的相对丰度较高,而的丰度较低(<0.05)。
本研究确定了特定肠道微生物群、代谢物与RA之间的因果关联。这些发现支持了肠道微生物群和代谢物在RA发病机制中的重要作用。