A Longitudinal Study Reveals Metabolomic Markers for Individuals at Risk, Disease Severity, and Treatment Response in Rheumatoid Arthritis

Abstract Rheumatoid arthritis (RA) is a systemic inflammatory joint disease characterized by heterogeneous clinical manifestations, which requires deeper exploration in identifying reliable biomarkers for early diagnosis, monitoring, and treatment assessment. The aim is to discover plasma metabolomi...

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出版年:	Advanced Science
主要な著者:	Chenxi Zhu, Jiayi Xu, Siyu He, Qian Niu, Yi Liu, Xin Guo, Huifang Hu, Rui Sun, Tao Chen, Yan Liu, Zhiqiang Xu, Na Jiang, Lipu Yao, Lunzhi Dai, Qinghua Zou, Fanxin Zeng, Liesu Meng, Inger Gjertsson, Rikard Holmdahl, Bin Yang, Dan Du, Yi Zhao
フォーマット:	論文
言語:	英語
出版事項:	Wiley 2025-10-01
主題:	longitudinal profiling machine learning metabolomics rheumatoid arthritis therapy response
オンライン･アクセス:	https://doi.org/10.1002/advs.202504414