Integrative Clinical, Molecular, and Computational Analysis Identify Novel Biomarkers and Differential Profiles of Anti-TNF Response in Rheumatoid Arthritis

Integrative Clinical, Molecular, and Computational Analysis Identify Novel Biomarkers and Differential Profiles of Anti-TNF Response in Rheumatoid Arthritis

Background: This prospective multicenter study developed an integrative clinical and molecular longitudinal study in Rheumatoid Arthritis (RA) patients to explore changes in serologic parameters following anti-TNF therapy (TNF inhibitors, TNFi) and built on machine-learning algorithms aimed at the p...

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Main Authors: Maria Luque-Tévar, Carlos Perez-Sanchez, Alejandra Mª Patiño-Trives, Nuria Barbarroja, Ivan Arias de la Rosa, Mª Carmen Abalos-Aguilera, Juan Antonio Marin-Sanz, Desiree Ruiz-Vilchez, Rafaela Ortega-Castro, Pilar Font, Clementina Lopez-Medina, Montserrat Romero-Gomez, Carlos Rodriguez-Escalera, Jose Perez-Venegas, Mª Dolores Ruiz-Montesinos, Carmen Dominguez, Carmen Romero-Barco, Antonio Fernandez-Nebro, Natalia Mena-Vazquez, Jose Luis Marenco, Julia Uceda-Montañez, Mª Dolores Toledo-Coello, M. Angeles Aguirre, Alejandro Escudero-Contreras, Eduardo Collantes-Estevez, Chary Lopez-Pedrera
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Immunology
Subjects:
rheumatoid arthritis
anti-TNF agents
inflammation
NEtosis
microRNAs
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2021.631662/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2021.631662/full

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