Imperial College London
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ProfessorIanAdcock

Faculty of Medicine, National Heart & Lung Institute

Professor of Respiratory Cell & Molecular Biology
 
 
 
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Contact

 

+44 (0)20 7594 7840ian.adcock Website

 
 
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Location

 

304Guy Scadding BuildingRoyal Brompton Campus

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Summary

 

Publications

Citation

BibTex format

@article{Chung:2019:10.1111/all.13771,
author = {Chung, KF and Adcock, IM},
doi = {10.1111/all.13771},
journal = {Allergy},
pages = {1649--1659},
title = {Precision medicine for the discovery of treatable mechanisms in severe asthma},
url = {http://dx.doi.org/10.1111/all.13771},
volume = {74},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Although the complex disease of asthma has been defined as being heterogeneous, the extent of its endophenotypes remain unclear. The pharmacological approach to initiating treatment has, until recently, been based on disease control and severity. The introduction of antibody therapies targeting the Type2 inflammation pathway for patients with severe asthma has resulted in the recognition of an allergic and an eosinophilic phenotype, which are not mutually exclusive. Concomitantly, molecular phenotyping based on a transcriptomic analysis of bronchial epithelial and sputum cells has identified a Type-2-high inflammation cluster characterised by eosinophilia and recurrent exacerbations, as well as Type-2-low clusters linked with IL-6 trans-signalling, interferon pathways, inflammasome activation and mitochondrial oxidative phosphorylation pathways. Systems biology approaches are establishing the links between these pathways or mechanisms, and clinical and physiologic features. Validation of these pathways contributes to defining endotypes and treatable mechanisms. Precision medicine approaches are necessary to link treatable mechanisms with treatable traits and biomarkers derived from clinical, physiologic and inflammatory features of clinical phenotypes. The deep molecular phenotyping of airway samples along with non-invasive biomarkers linked to bioinformatic and machine learning techniques will enable the rapid detection of molecular mechanisms that transgresses beyond the concept of treatable traits. This article is protected by copyright. All rights reserved.
AU  - Chung,KF
AU  - Adcock,IM
DO  - 10.1111/all.13771
EP  - 1659
PY  - 2019///
SN  - 0105-4538
SP  - 1649
TI  - Precision medicine for the discovery of treatable mechanisms in severe asthma
T2  - Allergy
UR  - http://dx.doi.org/10.1111/all.13771
UR  - https://www.ncbi.nlm.nih.gov/pubmed/30865306
UR  - http://hdl.handle.net/10044/1/67857
VL  - 74
ER  -
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