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

被引:0
|
作者
Li, Jing [1 ]
Xu, Jun [2 ,3 ]
Jin, Jiayang [1 ]
Xu, Congmin [4 ]
Gan, Yuzhou [1 ]
Wang, Yifan [1 ]
Feng, Ruiling [1 ]
Fan, Wenqiang [5 ]
Li, Yingni [1 ]
Zhao, Xiaozhen [1 ]
Li, Yucui [6 ]
Gong, Shushi [7 ]
Su, Linchong [7 ]
Cai, Yueming [8 ]
Shi, Lianjie [9 ]
Sun, Xiaolin [1 ]
Xiang, Yang [7 ]
Wang, Qingwen [8 ]
Li, Ru [1 ]
Zhao, Jinxia [10 ]
Liu, Yulan [2 ,3 ]
Qin, Junjie [11 ]
Li, Zhanguo [1 ,12 ,13 ]
He, Jing [1 ]
机构
[1] Peking Univ, Peoples Hosp, BZ0135, Beijing, Peoples R China
[2] Peking Univ, Peoples Hosp, Dept Gastroenterol, Beijing 100044, Peoples R China
[3] Peking Univ, Clin Ctr Immune Mediated Digest Dis, Peoples Hosp, Beijing 100044, Peoples R China
[4] BioMap Beijing Intelligent Technol Co Ltd BioMap, Beijing 100044, Peoples R China
[5] Xinxiang Cent Hosp, Dept Cardiol, Xinxiang 45300, Henan, Peoples R China
[6] Shanxi Med Univ, Shanxi Bethune Hosp, Tongji Shanxi Hosp, Shanxi Acad Med Sci,Hosp 3, Taiyuan 030032, Peoples R China
[7] Hubei Minzu Univ, Minda Hosp, Minda Hosp, Enshi 445000, Peoples R China
[8] Peking Univ, Shenzhen Hosp, Dept Rheumatol & Immunol, Shenzhen 518000, Guangdong, Peoples R China
[9] Peking Univ, Shougang Hosp, Dept Rheumatol & Immunol, Beijing 100144, Peoples R China
[10] Peking Univ Third Hosp, Dept Rheumatol & Immunol, Beijing 100191, Peoples R China
[11] Promegene Inst, Shenzhen 518110, Peoples R China
[12] Peking Univ, Sch Pharmaceut Sci, State Key Lab Nat & Biomimet Drugs, Beijing 100191, Peoples R China
[13] Peking Univ, Peking Tsinghua Ctr Life Sci, Beijing 100091, Peoples R China
基金
中国国家自然科学基金;
关键词
GUT MICROBIOME;
D O I
10.1038/s41597-025-04422-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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.
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页数:7
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