Blood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritis

Being able to predict the therapeutic benefit of disease modifying anti-rheumatic drugs (DMARDs) would be of great benefit and a stepping stone towards personalized medicine. Here the authors use machine learning and lipid mediator mass spectrometry to show specialized pro-resolving mediators are in...

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Main Authors: Esteban A. Gomez, Romain A. Colas, Patricia R. Souza, Rebecca Hands, Myles J. Lewis, Conrad Bessant, Costantino Pitzalis, Jesmond Dalli
Format: Article
Language:English
Published: Nature Publishing Group 2020-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-19176-z
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spelling doaj-f34fbd1c4b4842aeb4be2cce58f65db22021-05-11T08:23:28ZengNature Publishing GroupNature Communications2041-17232020-10-0111111310.1038/s41467-020-19176-zBlood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritisEsteban A. Gomez0Romain A. Colas1Patricia R. Souza2Rebecca Hands3Myles J. Lewis4Conrad Bessant5Costantino Pitzalis6Jesmond Dalli7William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonCentre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonCentre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonSchool of Biological and Chemical Sciences, Queen Mary University of LondonCentre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonBeing able to predict the therapeutic benefit of disease modifying anti-rheumatic drugs (DMARDs) would be of great benefit and a stepping stone towards personalized medicine. Here the authors use machine learning and lipid mediator mass spectrometry to show specialized pro-resolving mediators are indicative of DMARD responsiveness among rheumatoid arthritis patients.https://doi.org/10.1038/s41467-020-19176-z
collection DOAJ
language English
format Article
sources DOAJ
author Esteban A. Gomez
Romain A. Colas
Patricia R. Souza
Rebecca Hands
Myles J. Lewis
Conrad Bessant
Costantino Pitzalis
Jesmond Dalli
spellingShingle Esteban A. Gomez
Romain A. Colas
Patricia R. Souza
Rebecca Hands
Myles J. Lewis
Conrad Bessant
Costantino Pitzalis
Jesmond Dalli
Blood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritis
Nature Communications
author_facet Esteban A. Gomez
Romain A. Colas
Patricia R. Souza
Rebecca Hands
Myles J. Lewis
Conrad Bessant
Costantino Pitzalis
Jesmond Dalli
author_sort Esteban A. Gomez
title Blood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritis
title_short Blood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritis
title_full Blood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritis
title_fullStr Blood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritis
title_full_unstemmed Blood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritis
title_sort blood pro-resolving mediators are linked with synovial pathology and are predictive of dmard responsiveness in rheumatoid arthritis
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-10-01
description Being able to predict the therapeutic benefit of disease modifying anti-rheumatic drugs (DMARDs) would be of great benefit and a stepping stone towards personalized medicine. Here the authors use machine learning and lipid mediator mass spectrometry to show specialized pro-resolving mediators are indicative of DMARD responsiveness among rheumatoid arthritis patients.
url https://doi.org/10.1038/s41467-020-19176-z
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