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Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1

BACKGROUND: Disease heterogeneity in patients with severe asthma and its relationship to inflammatory mechanisms remain poorly understood. OBJECTIVE: We aimed to identify and replicate clinicopathologic endotypes based on analysis of blood and sputum parameters in asthmatic patients. METHODS: One hu...

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Autores principales: Hinks, Timothy S.C., Brown, Tom, Lau, Laurie C.K., Rupani, Hitasha, Barber, Clair, Elliott, Scott, Ward, Jon A., Ono, Junya, Ohta, Shoichiro, Izuhara, Kenji, Djukanović, Ratko, Kurukulaaratchy, Ramesh J., Chauhan, Anoop, Howarth, Peter H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mosby 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929135/
https://www.ncbi.nlm.nih.gov/pubmed/26851968
http://dx.doi.org/10.1016/j.jaci.2015.11.020
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author Hinks, Timothy S.C.
Brown, Tom
Lau, Laurie C.K.
Rupani, Hitasha
Barber, Clair
Elliott, Scott
Ward, Jon A.
Ono, Junya
Ohta, Shoichiro
Izuhara, Kenji
Djukanović, Ratko
Kurukulaaratchy, Ramesh J.
Chauhan, Anoop
Howarth, Peter H.
author_facet Hinks, Timothy S.C.
Brown, Tom
Lau, Laurie C.K.
Rupani, Hitasha
Barber, Clair
Elliott, Scott
Ward, Jon A.
Ono, Junya
Ohta, Shoichiro
Izuhara, Kenji
Djukanović, Ratko
Kurukulaaratchy, Ramesh J.
Chauhan, Anoop
Howarth, Peter H.
author_sort Hinks, Timothy S.C.
collection PubMed
description BACKGROUND: Disease heterogeneity in patients with severe asthma and its relationship to inflammatory mechanisms remain poorly understood. OBJECTIVE: We aimed to identify and replicate clinicopathologic endotypes based on analysis of blood and sputum parameters in asthmatic patients. METHODS: One hundred ninety-four asthmatic patients and 21 control subjects recruited from 2 separate centers underwent detailed clinical assessment, sputum induction, and phlebotomy. One hundred three clinical, physiologic, and inflammatory parameters were analyzed by using topological data analysis and Bayesian network analysis. RESULTS: Severe asthma was associated with anxiety and depression, obesity, sinonasal symptoms, decreased quality of life, and inflammatory changes, including increased sputum chitinase 3–like protein 1 (YKL-40) and matrix metalloproteinase (MMP) 1, 3, 8, and 12 levels. Topological data analysis identified 6 clinicopathobiologic clusters replicated in both geographic cohorts: young, mild paucigranulocytic; older, sinonasal disease; obese, high MMP levels; steroid resistant T(H)2 mediated, eosinophilic; mixed granulocytic with severe obstruction; and neutrophilic, low periostin levels, severe obstruction. Sputum IL-5 levels were increased in patients with severe particularly eosinophilic forms, whereas IL-13 was suppressed and IL-17 levels did not differ between clusters. Bayesian network analysis separated clinical features from intricately connected inflammatory pathways. YKL-40 levels strongly correlated with neutrophilic asthma and levels of myeloperoxidase, IL-8, IL-6, and IL-6 soluble receptor. MMP1, MMP3, MMP8, and MMP12 levels were associated with severe asthma and were correlated positively with sputum IL-5 levels but negatively with IL-13 levels. CONCLUSION: In 2 distinct cohorts we have identified and replicated 6 clinicopathobiologic clusters based on blood and induced sputum measures. Our data underline a disconnect between clinical features and underlying inflammation, suggest IL-5 production is relatively steroid insensitive, and highlight the expression of YKL-40 in patients with neutrophilic inflammation and the expression of MMPs in patients with severe asthma.
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spelling pubmed-49291352016-07-12 Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1 Hinks, Timothy S.C. Brown, Tom Lau, Laurie C.K. Rupani, Hitasha Barber, Clair Elliott, Scott Ward, Jon A. Ono, Junya Ohta, Shoichiro Izuhara, Kenji Djukanović, Ratko Kurukulaaratchy, Ramesh J. Chauhan, Anoop Howarth, Peter H. J Allergy Clin Immunol Asthma and Lower Airway Disease BACKGROUND: Disease heterogeneity in patients with severe asthma and its relationship to inflammatory mechanisms remain poorly understood. OBJECTIVE: We aimed to identify and replicate clinicopathologic endotypes based on analysis of blood and sputum parameters in asthmatic patients. METHODS: One hundred ninety-four asthmatic patients and 21 control subjects recruited from 2 separate centers underwent detailed clinical assessment, sputum induction, and phlebotomy. One hundred three clinical, physiologic, and inflammatory parameters were analyzed by using topological data analysis and Bayesian network analysis. RESULTS: Severe asthma was associated with anxiety and depression, obesity, sinonasal symptoms, decreased quality of life, and inflammatory changes, including increased sputum chitinase 3–like protein 1 (YKL-40) and matrix metalloproteinase (MMP) 1, 3, 8, and 12 levels. Topological data analysis identified 6 clinicopathobiologic clusters replicated in both geographic cohorts: young, mild paucigranulocytic; older, sinonasal disease; obese, high MMP levels; steroid resistant T(H)2 mediated, eosinophilic; mixed granulocytic with severe obstruction; and neutrophilic, low periostin levels, severe obstruction. Sputum IL-5 levels were increased in patients with severe particularly eosinophilic forms, whereas IL-13 was suppressed and IL-17 levels did not differ between clusters. Bayesian network analysis separated clinical features from intricately connected inflammatory pathways. YKL-40 levels strongly correlated with neutrophilic asthma and levels of myeloperoxidase, IL-8, IL-6, and IL-6 soluble receptor. MMP1, MMP3, MMP8, and MMP12 levels were associated with severe asthma and were correlated positively with sputum IL-5 levels but negatively with IL-13 levels. CONCLUSION: In 2 distinct cohorts we have identified and replicated 6 clinicopathobiologic clusters based on blood and induced sputum measures. Our data underline a disconnect between clinical features and underlying inflammation, suggest IL-5 production is relatively steroid insensitive, and highlight the expression of YKL-40 in patients with neutrophilic inflammation and the expression of MMPs in patients with severe asthma. Mosby 2016-07 /pmc/articles/PMC4929135/ /pubmed/26851968 http://dx.doi.org/10.1016/j.jaci.2015.11.020 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Asthma and Lower Airway Disease
Hinks, Timothy S.C.
Brown, Tom
Lau, Laurie C.K.
Rupani, Hitasha
Barber, Clair
Elliott, Scott
Ward, Jon A.
Ono, Junya
Ohta, Shoichiro
Izuhara, Kenji
Djukanović, Ratko
Kurukulaaratchy, Ramesh J.
Chauhan, Anoop
Howarth, Peter H.
Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1
title Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1
title_full Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1
title_fullStr Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1
title_full_unstemmed Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1
title_short Multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1
title_sort multidimensional endotyping in patients with severe asthma reveals inflammatory heterogeneity in matrix metalloproteinases and chitinase 3–like protein 1
topic Asthma and Lower Airway Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929135/
https://www.ncbi.nlm.nih.gov/pubmed/26851968
http://dx.doi.org/10.1016/j.jaci.2015.11.020
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