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<p>Alterations in intestinal microbiota have been identified as a key risk factor in rheumatoid arthritis (RA). This study presents a multidimensional gut microbiota profile from a large cohort of RA patients, stratified by disease stage and treatment regimens, and compared to healthy controls. Our dataset comprises gut microbiota profiles from 2,238 individuals, including 1,034 RA patients (Ascia Pacific RA cohort, APRAC) and 1,204 healthy controls. This dataset is enriched with detailed clinical metadata, including patient profiles, treatment histories, and environmental factors, providing a comprehensive “disease exposome” for RA. By integrating 16S rRNA gene sequencing with demographic, clinical, and environmental data, we offer a valuable resource to explore the complex relationships between gut microbiota and RA progression. This large-scale dataset is expected to be a foundation for collaborative research, advancing our understanding of the microbiome’s systemic effects in RA and other autoimmune diseases and potentially guiding new therapeutic approaches.</p>

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A Comprehensive Dataset on Microbiome Dynamics in Rheumatoid Arthritis from a Large-Scale Cohort Study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月7日

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  • Jing Li,
  • Jun Xu,
  • Jiayang Jin,
  • Congmin Xu,
  • Yuzhou Gan,
  • Yifan Wang,
  • Ruiling Feng,
  • Wenqiang Fan,
  • Yingni Li,
  • Xiaozhen Zhao,
  • Yucui Li,
  • Shushi Gong,
  • Linchong Su,
  • Yueming Cai,
  • Lianjie Shi,
  • Xiaolin Sun,
  • Yang Xiang,
  • Qingwen Wang,
  • Ru Li,
  • Jinxia Zhao,
  • Yulan Liu,
  • Junjie Qin,
  • Zhanguo Li,
  • Jing He

摘要

Alterations in intestinal microbiota have been identified as a key risk factor in rheumatoid arthritis (RA). This study presents a multidimensional gut microbiota profile from a large cohort of RA patients, stratified by disease stage and treatment regimens, and compared to healthy controls. Our dataset comprises gut microbiota profiles from 2,238 individuals, including 1,034 RA patients (Ascia Pacific RA cohort, APRAC) and 1,204 healthy controls. This dataset is enriched with detailed clinical metadata, including patient profiles, treatment histories, and environmental factors, providing a comprehensive “disease exposome” for RA. By integrating 16S rRNA gene sequencing with demographic, clinical, and environmental data, we offer a valuable resource to explore the complex relationships between gut microbiota and RA progression. This large-scale dataset is expected to be a foundation for collaborative research, advancing our understanding of the microbiome’s systemic effects in RA and other autoimmune diseases and potentially guiding new therapeutic approaches.