Causal effect of gut microbiota on juvenile idiopathic arthritis: A two-sample Mendelian a randomization study

Lian Zhang, Zhihua Yang, LuLu Zhang, Yanwen Wei, Lisheng Wan
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Abstract

There is increasing evidence of a significant association between the gut microbiome and juvenile idiopathic arthritis (JIA). However, whether this association is causal remains to be determined. This study was a two-sample Mendelian randomization (MR) study using publicly available genome-wide association study (GWAS) summary data to investigate the causal relationship between the gut microbiome and JIA. We used summary data on gut flora and JIA obtained from genome-wide association studies (GWAS) from MiBioGen and NHGRI-EBI, using inverse variance weighting as the main method to analyse causality in the TSMR causality analysis. To check the stability of the TSMR results, we performed several sensitivity analyses and assessed the presence of reverse causality through a reverse TSMR analysis. We calculated the degree of sample overlap where applicable. The current TSMR analyses identified four bacterial taxa associated with JIA. Specifically, two bacteria, Catenibacterium (p = 2 × 10–2) and Holdemania (p = 4 × 10–2), were negatively associated with the risk of developing JIA, suggesting a protective effect, while Olsenella (p = 1 × 10–2) and Rikenellaceae (RC9gutgroup) (p = 1 × 10–2) were positively associated with the risk of JIA, suggesting that these two bacteria may be risk factors for JIA. However, the results for Catenibacterium and Holdemania should be interpreted with caution due to instability observed in ‘leave-one-out’ sensitivity analyses. Reverse TSMR analyses found no evidence of reverse causality between JIA and gut flora. Our confirmation of a causal relationship between gut flora and JIA provides an innovative perspective for the study of JIA: targeting and modulating dysregulation of specific bacterial taxa to prevent and treat JIA.

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肠道微生物群对幼年特发性关节炎的因果效应:孟德尔随机双样本研究
越来越多的证据表明,肠道微生物组与幼年特发性关节炎(JIA)之间存在重要关联。然而,这种关联是否是因果关系仍有待确定。本研究是一项双样本孟德尔随机化(MR)研究,利用公开的全基因组关联研究(GWAS)汇总数据来调查肠道微生物组与 JIA 之间的因果关系。我们使用了从MiBioGen和NHGRI-EBI的全基因组关联研究(GWAS)中获得的肠道菌群与JIA的汇总数据,在TSMR因果关系分析中使用反方差加权法作为分析因果关系的主要方法。为了检验 TSMR 结果的稳定性,我们进行了多项敏感性分析,并通过反向 TSMR 分析评估是否存在反向因果关系。在适用的情况下,我们计算了样本重叠程度。目前的 TSMR 分析确定了与 JIA 相关的四个细菌类群。具体来说,卡氏杆菌(p = 2 × 10-2)和霍德曼尼亚(p = 4 × 10-2)这两种细菌与罹患 JIA 的风险呈负相关,这表明它们具有保护作用,而奥尔森氏菌(p = 1 × 10-2)和Rikenellaceae (RC9gutgroup) (p = 1 × 10-2)与罹患 JIA 的风险呈正相关,这表明这两种细菌可能是 JIA 的风险因素。然而,由于在 "撇除 "敏感性分析中观察到的不稳定性,对卡氏杆菌和霍德菌的结果应谨慎解释。反向 TSMR 分析没有发现 JIA 与肠道菌群之间存在反向因果关系的证据。我们证实了肠道菌群与 JIA 之间的因果关系,这为研究 JIA 提供了一个创新的视角:针对特定细菌类群的失调进行调节,以预防和治疗 JIA。
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期刊介绍: The Journal of Cellular and Molecular Medicine serves as a bridge between physiology and cellular medicine, as well as molecular biology and molecular therapeutics. With a 20-year history, the journal adopts an interdisciplinary approach to showcase innovative discoveries. It publishes research aimed at advancing the collective understanding of the cellular and molecular mechanisms underlying diseases. The journal emphasizes translational studies that translate this knowledge into therapeutic strategies. Being fully open access, the journal is accessible to all readers.
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