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Asthma
Asthma is a common respiratory disease with a complex etiology involving a combination of genetic and environmental components. Current asthma management involves a step-up and step-down approach based on asthma control with a large degree of heterogeneity in responses to the main drug classes curre...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149851/ http://dx.doi.org/10.1016/B978-0-12-386882-4.00028-1 |
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author | Shaw, Dominick Portelli, Michael Sayers, Ian |
author_facet | Shaw, Dominick Portelli, Michael Sayers, Ian |
author_sort | Shaw, Dominick |
collection | PubMed |
description | Asthma is a common respiratory disease with a complex etiology involving a combination of genetic and environmental components. Current asthma management involves a step-up and step-down approach based on asthma control with a large degree of heterogeneity in responses to the main drug classes currently in use: β(2)-adrenergic receptor agonists, corticosteroids, and leukotriene modifiers. Importantly, asthma is heterogeneous with respect to clinical presentation and the inflammatory mechanisms that underlie it. This heterogeneity likely contributes to variable results in clinical trials, particularly when targeting specific inflammatory mediators. These factors have motivated a drive toward stratified medicine in asthma based on clinical/cellular outcomes or genetics (i.e., pharmacogenetics). Significant progress has been made in identifying genetic polymorphisms that influence the efficacy and potential for adverse effects of all main classes of asthma drugs. Importantly an emerging role for genetics in phase II development of newer therapies has been demonstrated (e.g., anti-IL4). Similarly, the stratification of patients based on clinical characteristics (e.g., blood and sputum eosinophil levels) has been critical in evaluating newer therapies (e.g., anti-IL5). As a proof of concept, anti-IgE is the latest therapy to be introduced into clinical practice, although only for severe, allergic patients (i.e., in a stratified manner). As new asthma genes are identified using genome-wide association, among other technologies, new targets (e.g., IL33/IL33 receptor (IL1RL1)) will emerge and pharmacogenetics in these development programs will be essential. In this chapter we review the current understanding of asthma pathobiology and its clinical presentation, as well as the use of stratified medicine, which holds great promise for maximizing clinical outcomes and minimizing adverse effects in existing and new therapies. |
format | Online Article Text |
id | pubmed-7149851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71498512020-04-13 Asthma Shaw, Dominick Portelli, Michael Sayers, Ian Handbook of Pharmacogenomics and Stratified Medicine Article Asthma is a common respiratory disease with a complex etiology involving a combination of genetic and environmental components. Current asthma management involves a step-up and step-down approach based on asthma control with a large degree of heterogeneity in responses to the main drug classes currently in use: β(2)-adrenergic receptor agonists, corticosteroids, and leukotriene modifiers. Importantly, asthma is heterogeneous with respect to clinical presentation and the inflammatory mechanisms that underlie it. This heterogeneity likely contributes to variable results in clinical trials, particularly when targeting specific inflammatory mediators. These factors have motivated a drive toward stratified medicine in asthma based on clinical/cellular outcomes or genetics (i.e., pharmacogenetics). Significant progress has been made in identifying genetic polymorphisms that influence the efficacy and potential for adverse effects of all main classes of asthma drugs. Importantly an emerging role for genetics in phase II development of newer therapies has been demonstrated (e.g., anti-IL4). Similarly, the stratification of patients based on clinical characteristics (e.g., blood and sputum eosinophil levels) has been critical in evaluating newer therapies (e.g., anti-IL5). As a proof of concept, anti-IgE is the latest therapy to be introduced into clinical practice, although only for severe, allergic patients (i.e., in a stratified manner). As new asthma genes are identified using genome-wide association, among other technologies, new targets (e.g., IL33/IL33 receptor (IL1RL1)) will emerge and pharmacogenetics in these development programs will be essential. In this chapter we review the current understanding of asthma pathobiology and its clinical presentation, as well as the use of stratified medicine, which holds great promise for maximizing clinical outcomes and minimizing adverse effects in existing and new therapies. 2014 2014-05-02 /pmc/articles/PMC7149851/ http://dx.doi.org/10.1016/B978-0-12-386882-4.00028-1 Text en Copyright © 2014 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Shaw, Dominick Portelli, Michael Sayers, Ian Asthma |
title | Asthma |
title_full | Asthma |
title_fullStr | Asthma |
title_full_unstemmed | Asthma |
title_short | Asthma |
title_sort | asthma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149851/ http://dx.doi.org/10.1016/B978-0-12-386882-4.00028-1 |
work_keys_str_mv | AT shawdominick asthma AT portellimichael asthma AT sayersian asthma |