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Childhood asthma in the new omics era: challenges and perspectives

PURPOSE OF REVIEW: Childhood asthma is a heterogeneous inflammatory disease comprising different phenotypes and endotypes and, particularly in its severe forms, has a large impact on the quality-of-life of patients and caregivers. The application of advanced omics technologies provides useful insigh...

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Autores principales: Golebski, Korneliusz, Kabesch, Michael, Melén, Erik, Potočnik, Uroš, van Drunen, Cornelis M., Reinarts, Susanne, Maitland-van der Zee, Anke H., Vijverberg, Susanne J.H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060050/
https://www.ncbi.nlm.nih.gov/pubmed/31985545
http://dx.doi.org/10.1097/ACI.0000000000000626
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author Golebski, Korneliusz
Kabesch, Michael
Melén, Erik
Potočnik, Uroš
van Drunen, Cornelis M.
Reinarts, Susanne
Maitland-van der Zee, Anke H.
Vijverberg, Susanne J.H.
author_facet Golebski, Korneliusz
Kabesch, Michael
Melén, Erik
Potočnik, Uroš
van Drunen, Cornelis M.
Reinarts, Susanne
Maitland-van der Zee, Anke H.
Vijverberg, Susanne J.H.
author_sort Golebski, Korneliusz
collection PubMed
description PURPOSE OF REVIEW: Childhood asthma is a heterogeneous inflammatory disease comprising different phenotypes and endotypes and, particularly in its severe forms, has a large impact on the quality-of-life of patients and caregivers. The application of advanced omics technologies provides useful insights into underlying asthma endotypes and may provide potential clinical biomarkers to guide treatment and move towards a precision medicine approach. RECENT FINDINGS: The current article addresses how novel omics approaches have shaped our current understanding of childhood asthma and highlights recent findings from (pharmaco)genomics, epigenomics, transcriptomics, and metabolomics studies on childhood asthma and their potential clinical implications to guide treatment in severe asthmatics. SUMMARY: Until now, omics studies have largely expanded our view on asthma heterogeneity, helped understand cellular processes underlying asthma, and brought us closer towards identifying (bio)markers that will allow the prediction of treatment responsiveness and disease progression. There is a clinical need for biomarkers that will guide treatment at the individual level, particularly in the field of biologicals. The integration of multiomics data together with clinical data could be the next promising step towards development individual risk prediction models to guide treatment. However, this requires large-scale collaboration in a multidisciplinary setting.
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spelling pubmed-70600502020-03-19 Childhood asthma in the new omics era: challenges and perspectives Golebski, Korneliusz Kabesch, Michael Melén, Erik Potočnik, Uroš van Drunen, Cornelis M. Reinarts, Susanne Maitland-van der Zee, Anke H. Vijverberg, Susanne J.H. Curr Opin Allergy Clin Immunol PEDIATRIC ASTHMA AND DEVELOPMENT OF ATOPY: Edited by Andy Liu and Pasquale Comberiati PURPOSE OF REVIEW: Childhood asthma is a heterogeneous inflammatory disease comprising different phenotypes and endotypes and, particularly in its severe forms, has a large impact on the quality-of-life of patients and caregivers. The application of advanced omics technologies provides useful insights into underlying asthma endotypes and may provide potential clinical biomarkers to guide treatment and move towards a precision medicine approach. RECENT FINDINGS: The current article addresses how novel omics approaches have shaped our current understanding of childhood asthma and highlights recent findings from (pharmaco)genomics, epigenomics, transcriptomics, and metabolomics studies on childhood asthma and their potential clinical implications to guide treatment in severe asthmatics. SUMMARY: Until now, omics studies have largely expanded our view on asthma heterogeneity, helped understand cellular processes underlying asthma, and brought us closer towards identifying (bio)markers that will allow the prediction of treatment responsiveness and disease progression. There is a clinical need for biomarkers that will guide treatment at the individual level, particularly in the field of biologicals. The integration of multiomics data together with clinical data could be the next promising step towards development individual risk prediction models to guide treatment. However, this requires large-scale collaboration in a multidisciplinary setting. Lippincott Williams & Wilkins 2020-04 2019-02-27 /pmc/articles/PMC7060050/ /pubmed/31985545 http://dx.doi.org/10.1097/ACI.0000000000000626 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle PEDIATRIC ASTHMA AND DEVELOPMENT OF ATOPY: Edited by Andy Liu and Pasquale Comberiati
Golebski, Korneliusz
Kabesch, Michael
Melén, Erik
Potočnik, Uroš
van Drunen, Cornelis M.
Reinarts, Susanne
Maitland-van der Zee, Anke H.
Vijverberg, Susanne J.H.
Childhood asthma in the new omics era: challenges and perspectives
title Childhood asthma in the new omics era: challenges and perspectives
title_full Childhood asthma in the new omics era: challenges and perspectives
title_fullStr Childhood asthma in the new omics era: challenges and perspectives
title_full_unstemmed Childhood asthma in the new omics era: challenges and perspectives
title_short Childhood asthma in the new omics era: challenges and perspectives
title_sort childhood asthma in the new omics era: challenges and perspectives
topic PEDIATRIC ASTHMA AND DEVELOPMENT OF ATOPY: Edited by Andy Liu and Pasquale Comberiati
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060050/
https://www.ncbi.nlm.nih.gov/pubmed/31985545
http://dx.doi.org/10.1097/ACI.0000000000000626
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