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

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.

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Publication Details

Journal
Scientific Data
Published
2025-02-07
DOI
https://doi.org/10.1038/s41597-025-04422-0
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Ruiling Feng, Wenqiang Fan, Linchong Su, Congmin Xu et al.
Scientific Data
Gut microbiota and health
article

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

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

Abstract

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.

Scientific DataVol. 12(1)
China Pharmaceutical University (CN), Shanxi Medical University (CN), Peking University (CN), Minda Hospital (CN), Peking University People's Hospital (CN), Peking University Shenzhen Hospital (CN), Peking University Shougang Hospital (CN), Peking University Third Hospital (CN), Xinxiang Central Hospital (CN), Shanxi Academy of Medical Sciences (CN), Center for Life Sciences (CN)
National Natural Science Foundation of China, Sanming Project of Medicine in Shenzhen
Zero hunger
Openalex Percentile: Top 98%
Gut microbiota and health
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