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Predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: A literature review
Tumor necrosis factor-α (TNF-α) antagonists, the first biologics approved for treating patients with inflammatory bowel disease (IBD), are effective for the induction and maintenance of remission and significantly improving prognosis. However, up to one-third of treated patients show primary nonresp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445007/ https://www.ncbi.nlm.nih.gov/pubmed/37621757 http://dx.doi.org/10.3748/wjg.v29.i29.4481 |
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author | Wang, Liang-Fang Chen, Ping-Run He, Si-Ke Duan, Shi-Hao Zhang, Yan |
author_facet | Wang, Liang-Fang Chen, Ping-Run He, Si-Ke Duan, Shi-Hao Zhang, Yan |
author_sort | Wang, Liang-Fang |
collection | PubMed |
description | Tumor necrosis factor-α (TNF-α) antagonists, the first biologics approved for treating patients with inflammatory bowel disease (IBD), are effective for the induction and maintenance of remission and significantly improving prognosis. However, up to one-third of treated patients show primary nonresponse (PNR) to anti-TNF-α therapies, and 23%-50% of IBD patients experience loss of response (LOR) to these biologics during subsequent treatment. There is still no recognized predictor for evaluating the efficacy of anti-TNF drugs. This review summarizes the existing predictors of PNR and LOR to anti-TNF in IBD patients. Most predictors remain controversial, and only previous surgical history, disease manifestations, drug concentrations, antidrug antibodies, serum albumin, some biologic markers, and some genetic markers may be potentially predictive. In addition, we also discuss the next steps of treatment for patients with PNR or LOR to TNF antagonists. Therapeutic drug monitoring plays an important role in treatment selection. Dose escalation, combination therapy, switching to a different anti-TNF drug, or switching to a biologic with a different mechanism of action can be selected based on the concentration of the drug and/or antidrug antibodies. |
format | Online Article Text |
id | pubmed-10445007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-104450072023-08-24 Predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: A literature review Wang, Liang-Fang Chen, Ping-Run He, Si-Ke Duan, Shi-Hao Zhang, Yan World J Gastroenterol Review Tumor necrosis factor-α (TNF-α) antagonists, the first biologics approved for treating patients with inflammatory bowel disease (IBD), are effective for the induction and maintenance of remission and significantly improving prognosis. However, up to one-third of treated patients show primary nonresponse (PNR) to anti-TNF-α therapies, and 23%-50% of IBD patients experience loss of response (LOR) to these biologics during subsequent treatment. There is still no recognized predictor for evaluating the efficacy of anti-TNF drugs. This review summarizes the existing predictors of PNR and LOR to anti-TNF in IBD patients. Most predictors remain controversial, and only previous surgical history, disease manifestations, drug concentrations, antidrug antibodies, serum albumin, some biologic markers, and some genetic markers may be potentially predictive. In addition, we also discuss the next steps of treatment for patients with PNR or LOR to TNF antagonists. Therapeutic drug monitoring plays an important role in treatment selection. Dose escalation, combination therapy, switching to a different anti-TNF drug, or switching to a biologic with a different mechanism of action can be selected based on the concentration of the drug and/or antidrug antibodies. Baishideng Publishing Group Inc 2023-08-07 2023-08-07 /pmc/articles/PMC10445007/ /pubmed/37621757 http://dx.doi.org/10.3748/wjg.v29.i29.4481 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Review Wang, Liang-Fang Chen, Ping-Run He, Si-Ke Duan, Shi-Hao Zhang, Yan Predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: A literature review |
title | Predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: A literature review |
title_full | Predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: A literature review |
title_fullStr | Predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: A literature review |
title_full_unstemmed | Predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: A literature review |
title_short | Predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: A literature review |
title_sort | predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: a literature review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445007/ https://www.ncbi.nlm.nih.gov/pubmed/37621757 http://dx.doi.org/10.3748/wjg.v29.i29.4481 |
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