Plasma metabolomic profiling in patients with rheumatoid arthritis identifies biochemical features predictive of quantitative disease activity

Plasma metabolomic profiling in patients with rheumatoid arthritis identifies biochemical features predictive of quantitative disease activity

Abstract Background Rheumatoid arthritis (RA) is a chronic, autoimmune disorder characterized by joint inflammation and pain. In patients with RA, metabolomic approaches, i.e., high-throughput profiling of small-molecule metabolites, on plasma or serum has thus far enabled the discovery of biomarker...

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Bibliographic Details
Main Authors: Benjamin Hur, Vinod K. Gupta, Harvey Huang, Kerry A. Wright, Kenneth J. Warrington, Veena Taneja, John M. Davis, Jaeyun Sung
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Arthritis Research & Therapy
Subjects:
Rheumatoid arthritis
Metabolomics
Plasma metabolites
DAS28-CRP
Biomarker
Machine learning
Online Access:https://doi.org/10.1186/s13075-021-02537-4

Internet

https://doi.org/10.1186/s13075-021-02537-4

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