Exploring the Inflammatory Metabolomic Profile to Predict Response to TNF-α Inhibitors in Rheumatoid Arthritis.

Exploring the Inflammatory Metabolomic Profile to Predict Response to TNF-α Inhibitors in Rheumatoid Arthritis.

In clinical practice, approximately one-third of patients with rheumatoid arthritis (RA) respond insufficiently to TNF-α inhibitors (TNFis). The aim of the study was to explore the use of a metabolomics to identify predictors for the outcome of TNFi therapy, and study the metabolomic fingerprint in...

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Bibliographic Details
Main Authors: Bart V J Cuppen, Junzeng Fu, Herman A van Wietmarschen, Amy C Harms, Slavik Koval, Anne C A Marijnissen, Judith J W Peeters, Johannes W J Bijlsma, Janneke Tekstra, Jacob M van Laar, Thomas Hankemeier, Floris P J G Lafeber, Jan van der Greef, all Society for Rheumatology Research Utrecht investigators
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5025050?pdf=render

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http://europepmc.org/articles/PMC5025050?pdf=render

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