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Utilizing Predictive Inflammatory Markers for Guiding the Use of Biologicals in Severe Asthma
Asthma is a chronic respiratory disease characterized by chronic airway inflammation and airflow obstruction. Up to ten percent of asthmatics have severe asthma, and many remain uncontrolled despite optimal medical management. With our increased understanding of the heterogeneity of asthma and its c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769207/ https://www.ncbi.nlm.nih.gov/pubmed/35068937 http://dx.doi.org/10.2147/JIR.S269297 |
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author | Runnstrom, Martin Pitner, Hilary Xu, Jennifer Lee, F Eun-Hyung Kuruvilla, Merin |
author_facet | Runnstrom, Martin Pitner, Hilary Xu, Jennifer Lee, F Eun-Hyung Kuruvilla, Merin |
author_sort | Runnstrom, Martin |
collection | PubMed |
description | Asthma is a chronic respiratory disease characterized by chronic airway inflammation and airflow obstruction. Up to ten percent of asthmatics have severe asthma, and many remain uncontrolled despite optimal medical management. With our increased understanding of the heterogeneity of asthma and its complex pathophysiology, several biomarkers have been developed and in the recent past, several biologic therapies for severe asthma have been developed and are now in widespread use. Although these biological agents have shown great benefit in treating severe asthma, not all patients respond equally well, and some do not derive any benefit. As much of the current literature of these medications have not assessed biomarkers or have used different cutoffs, it is often challenging to decide the best medication for an individual patient. Here, we review common asthma subtypes, current available biologic therapies for asthma, the clinical application of currently available type 2 biomarkers, as well as summarizing the evidence on how patient characteristics and biomarkers can help with choosing the optimal biologic for a patient that has the highest likelihood of success. |
format | Online Article Text |
id | pubmed-8769207 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-87692072022-01-20 Utilizing Predictive Inflammatory Markers for Guiding the Use of Biologicals in Severe Asthma Runnstrom, Martin Pitner, Hilary Xu, Jennifer Lee, F Eun-Hyung Kuruvilla, Merin J Inflamm Res Review Asthma is a chronic respiratory disease characterized by chronic airway inflammation and airflow obstruction. Up to ten percent of asthmatics have severe asthma, and many remain uncontrolled despite optimal medical management. With our increased understanding of the heterogeneity of asthma and its complex pathophysiology, several biomarkers have been developed and in the recent past, several biologic therapies for severe asthma have been developed and are now in widespread use. Although these biological agents have shown great benefit in treating severe asthma, not all patients respond equally well, and some do not derive any benefit. As much of the current literature of these medications have not assessed biomarkers or have used different cutoffs, it is often challenging to decide the best medication for an individual patient. Here, we review common asthma subtypes, current available biologic therapies for asthma, the clinical application of currently available type 2 biomarkers, as well as summarizing the evidence on how patient characteristics and biomarkers can help with choosing the optimal biologic for a patient that has the highest likelihood of success. Dove 2022-01-11 /pmc/articles/PMC8769207/ /pubmed/35068937 http://dx.doi.org/10.2147/JIR.S269297 Text en © 2022 Runnstrom et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Review Runnstrom, Martin Pitner, Hilary Xu, Jennifer Lee, F Eun-Hyung Kuruvilla, Merin Utilizing Predictive Inflammatory Markers for Guiding the Use of Biologicals in Severe Asthma |
title | Utilizing Predictive Inflammatory Markers for Guiding the Use of Biologicals in Severe Asthma |
title_full | Utilizing Predictive Inflammatory Markers for Guiding the Use of Biologicals in Severe Asthma |
title_fullStr | Utilizing Predictive Inflammatory Markers for Guiding the Use of Biologicals in Severe Asthma |
title_full_unstemmed | Utilizing Predictive Inflammatory Markers for Guiding the Use of Biologicals in Severe Asthma |
title_short | Utilizing Predictive Inflammatory Markers for Guiding the Use of Biologicals in Severe Asthma |
title_sort | utilizing predictive inflammatory markers for guiding the use of biologicals in severe asthma |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769207/ https://www.ncbi.nlm.nih.gov/pubmed/35068937 http://dx.doi.org/10.2147/JIR.S269297 |
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