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Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study

BACKGROUND: Asthma is a disease of varying severity and differing disease mechanisms. To date, studies aimed at stratifying asthma into clinically useful phenotypes have produced a number of phenotypes that have yet to be assessed for stability and to be validated in independent cohorts. The aim of...

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Autores principales: Loza, Matthew J., Djukanovic, Ratko, Chung, Kian Fan, Horowitz, Daniel, Ma, Keying, Branigan, Patrick, Barnathan, Elliot S., Susulic, Vedrana S., Silkoff, Philip E., Sterk, Peter J., Baribaud, Frédéric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159977/
https://www.ncbi.nlm.nih.gov/pubmed/27978840
http://dx.doi.org/10.1186/s12931-016-0482-9
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author Loza, Matthew J.
Djukanovic, Ratko
Chung, Kian Fan
Horowitz, Daniel
Ma, Keying
Branigan, Patrick
Barnathan, Elliot S.
Susulic, Vedrana S.
Silkoff, Philip E.
Sterk, Peter J.
Baribaud, Frédéric
author_facet Loza, Matthew J.
Djukanovic, Ratko
Chung, Kian Fan
Horowitz, Daniel
Ma, Keying
Branigan, Patrick
Barnathan, Elliot S.
Susulic, Vedrana S.
Silkoff, Philip E.
Sterk, Peter J.
Baribaud, Frédéric
author_sort Loza, Matthew J.
collection PubMed
description BACKGROUND: Asthma is a disease of varying severity and differing disease mechanisms. To date, studies aimed at stratifying asthma into clinically useful phenotypes have produced a number of phenotypes that have yet to be assessed for stability and to be validated in independent cohorts. The aim of this study was to define and validate, for the first time ever, clinically driven asthma phenotypes using two independent, severe asthma cohorts: ADEPT and U-BIOPRED. METHODS: Fuzzy partition-around-medoid clustering was performed on pre-specified data from the ADEPT participants (n = 156) and independently on data from a subset of U-BIOPRED asthma participants (n = 82) for whom the same variables were available. Models for cluster classification probabilities were derived and applied to the 12-month longitudinal ADEPT data and to a larger subset of the U-BIOPRED asthma dataset (n = 397). High and low type-2 inflammation phenotypes were defined as high or low Th2 activity, indicated by endobronchial biopsies gene expression changes downstream of IL-4 or IL-13. RESULTS: Four phenotypes were identified in the ADEPT (training) cohort, with distinct clinical and biomarker profiles. Phenotype 1 was “mild, good lung function, early onset”, with a low-inflammatory, predominantly Type-2, phenotype. Phenotype 2 had a “moderate, hyper-responsive, eosinophilic” phenotype, with moderate asthma control, mild airflow obstruction and predominant Type-2 inflammation. Phenotype 3 had a “mixed severity, predominantly fixed obstructive, non-eosinophilic and neutrophilic” phenotype, with moderate asthma control and low Type-2 inflammation. Phenotype 4 had a “severe uncontrolled, severe reversible obstruction, mixed granulocytic” phenotype, with moderate Type-2 inflammation. These phenotypes had good longitudinal stability in the ADEPT cohort. They were reproduced and demonstrated high classification probability in two subsets of the U-BIOPRED asthma cohort. CONCLUSIONS: Focusing on the biology of the four clinical independently-validated easy-to-assess ADEPT asthma phenotypes will help understanding the unmet need and will aid in developing tailored therapies. TRIAL REGISTRATION: NCT01274507 (ADEPT), registered October 28, 2010 and NCT01982162 (U-BIOPRED), registered October 30, 2013. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12931-016-0482-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-51599772016-12-23 Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study Loza, Matthew J. Djukanovic, Ratko Chung, Kian Fan Horowitz, Daniel Ma, Keying Branigan, Patrick Barnathan, Elliot S. Susulic, Vedrana S. Silkoff, Philip E. Sterk, Peter J. Baribaud, Frédéric Respir Res Research BACKGROUND: Asthma is a disease of varying severity and differing disease mechanisms. To date, studies aimed at stratifying asthma into clinically useful phenotypes have produced a number of phenotypes that have yet to be assessed for stability and to be validated in independent cohorts. The aim of this study was to define and validate, for the first time ever, clinically driven asthma phenotypes using two independent, severe asthma cohorts: ADEPT and U-BIOPRED. METHODS: Fuzzy partition-around-medoid clustering was performed on pre-specified data from the ADEPT participants (n = 156) and independently on data from a subset of U-BIOPRED asthma participants (n = 82) for whom the same variables were available. Models for cluster classification probabilities were derived and applied to the 12-month longitudinal ADEPT data and to a larger subset of the U-BIOPRED asthma dataset (n = 397). High and low type-2 inflammation phenotypes were defined as high or low Th2 activity, indicated by endobronchial biopsies gene expression changes downstream of IL-4 or IL-13. RESULTS: Four phenotypes were identified in the ADEPT (training) cohort, with distinct clinical and biomarker profiles. Phenotype 1 was “mild, good lung function, early onset”, with a low-inflammatory, predominantly Type-2, phenotype. Phenotype 2 had a “moderate, hyper-responsive, eosinophilic” phenotype, with moderate asthma control, mild airflow obstruction and predominant Type-2 inflammation. Phenotype 3 had a “mixed severity, predominantly fixed obstructive, non-eosinophilic and neutrophilic” phenotype, with moderate asthma control and low Type-2 inflammation. Phenotype 4 had a “severe uncontrolled, severe reversible obstruction, mixed granulocytic” phenotype, with moderate Type-2 inflammation. These phenotypes had good longitudinal stability in the ADEPT cohort. They were reproduced and demonstrated high classification probability in two subsets of the U-BIOPRED asthma cohort. CONCLUSIONS: Focusing on the biology of the four clinical independently-validated easy-to-assess ADEPT asthma phenotypes will help understanding the unmet need and will aid in developing tailored therapies. TRIAL REGISTRATION: NCT01274507 (ADEPT), registered October 28, 2010 and NCT01982162 (U-BIOPRED), registered October 30, 2013. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12931-016-0482-9) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-15 2016 /pmc/articles/PMC5159977/ /pubmed/27978840 http://dx.doi.org/10.1186/s12931-016-0482-9 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Loza, Matthew J.
Djukanovic, Ratko
Chung, Kian Fan
Horowitz, Daniel
Ma, Keying
Branigan, Patrick
Barnathan, Elliot S.
Susulic, Vedrana S.
Silkoff, Philip E.
Sterk, Peter J.
Baribaud, Frédéric
Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study
title Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study
title_full Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study
title_fullStr Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study
title_full_unstemmed Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study
title_short Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study
title_sort validated and longitudinally stable asthma phenotypes based on cluster analysis of the adept study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159977/
https://www.ncbi.nlm.nih.gov/pubmed/27978840
http://dx.doi.org/10.1186/s12931-016-0482-9
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