Gut microbiota in rheumatoid arthritis: Mechanistic insights, clinical biomarkers, and translational perspectives

IF 8.3 1区 医学 Q1 IMMUNOLOGY
Xiang-Yu Qi , Meng-Xia Liu , Xiao-Jing Jiang , Tian Gao , Guo-Qiang Xu , He-Yi Zhang , Qin-Yi Su , Yi Du , Jing Luo , Sheng-Xiao Zhang
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引用次数: 0

Abstract

Rheumatoid arthritis (RA) is a systemic autoimmune disease shaped by complex interactions between genetics and environmental factors, among which gut microbiota has emerged as a critical modulator. Recent advances have implicated gut microbiota dysbiosis in RA pathophysiology, with evidence spanning mechanistic, diagnostic, and therapeutic dimensions. This review summarizes current knowledge of the gut-joint axis and outlines microbiota-based strategies for RA management. Numerous studies have demonstrated consistent alterations in gut microbial communities in patients with RA, with enrichment of Prevotella copri observed in 75% of patients with new-onset RA compared to 21.4% of healthy controls, suggesting a potential association with disease initiation. Mechanistically, we detail how microbial dysbiosis, including that of bacteria, fungi, and viruses, disrupts intestinal barrier integrity, skews T helper 17/T regulatory and T follicular helper/T follicular regulatory immune axes, induces molecular mimicry, and alters the profiles of microbial metabolites such as short-chain fatty acids. Diagnostically, microbial taxa and metabolites serve as promising biomarkers. Machine learning models based on microbiota profiles have achieved area under the curve (AUC) values exceeding 0.88, with discriminatory taxa such as Ruminococcus gnavus and Fusicatenibacter. Therapeutically, we reviewed microbiota-targeted interventions, such as probiotics, prebiotics, antibiotics, fecal microbiota transplantation, diet, and herbal medicines, highlighting the emerging field of pharmacomicrobiomics. Gut microbial signatures have shown promise in predicting treatment responses, including methotrexate efficacy via the enterotype-based gut microbial human index model (AUC = 0.945). This review proposes an integrated framework linking microbial alterations with RA onset and progression and presents gut microbiota as a promising frontier for biomarker discovery, personalized intervention, and precision medicine.
类风湿关节炎的肠道微生物群:机制见解、临床生物标志物和翻译观点。
类风湿性关节炎(RA)是一种由遗传和环境因素复杂相互作用形成的系统性自身免疫性疾病,其中肠道菌群已成为重要的调节因子。最近的进展表明,肠道微生物群失调与类风湿性关节炎的病理生理有关,证据涵盖了机制、诊断和治疗方面。这篇综述总结了目前关于肠关节轴的知识,并概述了基于微生物群的RA管理策略。大量研究表明,RA患者的肠道微生物群落发生了一致的变化,75%的新发RA患者中观察到copri普雷沃氏菌的富集,而健康对照组中这一比例为21.4%,这表明与疾病发生有潜在的关联。在机制上,我们详细介绍了微生物生态失调,包括细菌、真菌和病毒,如何破坏肠道屏障完整性,扭曲T辅助17/T调节和T滤泡辅助/T滤泡调节免疫轴,诱导分子模仿,并改变微生物代谢物(如短链脂肪酸)的特征。在诊断方面,微生物分类群和代谢物是很有前途的生物标志物。基于微生物群剖面的机器学习模型已经实现了曲线下面积(AUC)值超过0.88,其中包括Ruminococcus gnavus和Fusicatenibacter等歧视性分类群。在治疗方面,我们回顾了针对微生物群的干预措施,如益生菌、益生元、抗生素、粪便微生物群移植、饮食和草药,重点介绍了药物微生物学的新兴领域。肠道微生物特征在预测治疗反应方面显示出前景,包括通过基于肠道类型的肠道微生物人类指数模型(AUC = 0.945)预测甲氨蝶呤的疗效。这篇综述提出了一个将微生物改变与RA的发病和进展联系起来的综合框架,并将肠道微生物群作为生物标志物发现、个性化干预和精准医学的一个有前途的前沿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Autoimmunity reviews
Autoimmunity reviews 医学-免疫学
CiteScore
24.70
自引率
4.40%
发文量
164
审稿时长
21 days
期刊介绍: Autoimmunity Reviews is a publication that features up-to-date, structured reviews on various topics in the field of autoimmunity. These reviews are written by renowned experts and include demonstrative illustrations and tables. Each article will have a clear "take-home" message for readers. The selection of articles is primarily done by the Editors-in-Chief, based on recommendations from the international Editorial Board. The topics covered in the articles span all areas of autoimmunology, aiming to bridge the gap between basic and clinical sciences. In terms of content, the contributions in basic sciences delve into the pathophysiology and mechanisms of autoimmune disorders, as well as genomics and proteomics. On the other hand, clinical contributions focus on diseases related to autoimmunity, novel therapies, and clinical associations. Autoimmunity Reviews is internationally recognized, and its articles are indexed and abstracted in prestigious databases such as PubMed/Medline, Science Citation Index Expanded, Biosciences Information Services, and Chemical Abstracts.
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