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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...

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Autores principales: Runnstrom, Martin, Pitner, Hilary, Xu, Jennifer, Lee, F Eun-Hyung, Kuruvilla, Merin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
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.
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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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