A Comprehensive Dataset on Microbiome Dynamics in Rheumatoid Arthritis from a Large-Scale Cohort Study
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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04422-0 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Jing Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cc7a6933ef204743803600b08853419b |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-cc7a6933ef204743803600b08853419b2025-02-09T12:11:35ZengNature PortfolioScientific Data2052-44632025-02-011211710.1038/s41597-025-04422-0A Comprehensive Dataset on Microbiome Dynamics in Rheumatoid Arthritis from a Large-Scale Cohort StudyJing Li0Jun Xu1Jiayang Jin2Congmin Xu3Yuzhou Gan4Yifan Wang5Ruiling Feng6Wenqiang Fan7Yingni Li8Xiaozhen Zhao9Yucui Li10Shushi Gong11Linchong Su12Yueming Cai13Lianjie Shi14Xiaolin Sun15Yang Xiang16Qingwen Wang17Ru Li18Jinxia Zhao19Yulan Liu20Junjie Qin21Zhanguo Li22Jing He23Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)Department of Gastroenterology, Peking University People’s HospitalDepartment of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)BioMap (Beijing) Intelligent Technology Co., Ltd. (BioMap)Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)Department of Rheumatology and Immunology, Xinxiang Central HospitalDepartment of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi HospitalDepartment of Rheumatology and Immunology, Minda Hospital of Hubei Minzu UniversityDepartment of Rheumatology and Immunology, Minda Hospital of Hubei Minzu UniversityDepartment of Rheumatology and Immunology, Peking University Shenzhen HospitalDepartment of Rheumatology and Immunology, Peking University Shougang HospitalDepartment of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)Department of Rheumatology and Immunology, Minda Hospital of Hubei Minzu UniversityDepartment of Rheumatology and Immunology, Peking University Shenzhen HospitalDepartment of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)Department of Rheumatology and Immunology, Peking University Third HospitalDepartment of Gastroenterology, Peking University People’s HospitalPromegene InstituteDepartment of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135)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.https://doi.org/10.1038/s41597-025-04422-0 |
| spellingShingle | 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 A Comprehensive Dataset on Microbiome Dynamics in Rheumatoid Arthritis from a Large-Scale Cohort Study Scientific Data |
| title | A Comprehensive Dataset on Microbiome Dynamics in Rheumatoid Arthritis from a Large-Scale Cohort Study |
| title_full | A Comprehensive Dataset on Microbiome Dynamics in Rheumatoid Arthritis from a Large-Scale Cohort Study |
| title_fullStr | A Comprehensive Dataset on Microbiome Dynamics in Rheumatoid Arthritis from a Large-Scale Cohort Study |
| title_full_unstemmed | A Comprehensive Dataset on Microbiome Dynamics in Rheumatoid Arthritis from a Large-Scale Cohort Study |
| title_short | A Comprehensive Dataset on Microbiome Dynamics in Rheumatoid Arthritis from a Large-Scale Cohort Study |
| title_sort | comprehensive dataset on microbiome dynamics in rheumatoid arthritis from a large scale cohort study |
| url | https://doi.org/10.1038/s41597-025-04422-0 |
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