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Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis
Tumour necrosis factor (TNF)-α is a key mediator of inflammation in rheumatoid arthritis, and its discovery led to the development of highly successful anti-TNF therapy. Subsequently, other biologic drugs targeting immune pathways, namely interleukin-6 blockade, B cell depletion, and T cell co-stimu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6963853/ https://www.ncbi.nlm.nih.gov/pubmed/31581724 http://dx.doi.org/10.3390/jpm9040046 |
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author | Mulhearn, Ben Barton, Anne Viatte, Sebastien |
author_facet | Mulhearn, Ben Barton, Anne Viatte, Sebastien |
author_sort | Mulhearn, Ben |
collection | PubMed |
description | Tumour necrosis factor (TNF)-α is a key mediator of inflammation in rheumatoid arthritis, and its discovery led to the development of highly successful anti-TNF therapy. Subsequently, other biologic drugs targeting immune pathways, namely interleukin-6 blockade, B cell depletion, and T cell co-stimulation blockade, have been developed. Not all patients respond to a biologic drug, leading to a knowledge gap between biologic therapies available and the confident prediction of response. So far, genetic studies have failed to uncover clinically informative biomarkers to predict response. Given that the targets of biologics are immune pathways, immunological study has become all the more pertinent. Furthermore, advances in single-cell technology have enabled the characterization of many leucocyte subsets. Studying the blood immunophenotype may therefore, define biomarker profiles relevant to each individual patient’s disease and treatment outcome. This review summarises our current understanding of how immune biomarkers might be able to predict treatment response to biologic drugs. |
format | Online Article Text |
id | pubmed-6963853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69638532020-01-27 Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis Mulhearn, Ben Barton, Anne Viatte, Sebastien J Pers Med Review Tumour necrosis factor (TNF)-α is a key mediator of inflammation in rheumatoid arthritis, and its discovery led to the development of highly successful anti-TNF therapy. Subsequently, other biologic drugs targeting immune pathways, namely interleukin-6 blockade, B cell depletion, and T cell co-stimulation blockade, have been developed. Not all patients respond to a biologic drug, leading to a knowledge gap between biologic therapies available and the confident prediction of response. So far, genetic studies have failed to uncover clinically informative biomarkers to predict response. Given that the targets of biologics are immune pathways, immunological study has become all the more pertinent. Furthermore, advances in single-cell technology have enabled the characterization of many leucocyte subsets. Studying the blood immunophenotype may therefore, define biomarker profiles relevant to each individual patient’s disease and treatment outcome. This review summarises our current understanding of how immune biomarkers might be able to predict treatment response to biologic drugs. MDPI 2019-10-02 /pmc/articles/PMC6963853/ /pubmed/31581724 http://dx.doi.org/10.3390/jpm9040046 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Mulhearn, Ben Barton, Anne Viatte, Sebastien Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis |
title | Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis |
title_full | Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis |
title_fullStr | Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis |
title_full_unstemmed | Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis |
title_short | Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis |
title_sort | using the immunophenotype to predict response to biologic drugs in rheumatoid arthritis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6963853/ https://www.ncbi.nlm.nih.gov/pubmed/31581724 http://dx.doi.org/10.3390/jpm9040046 |
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