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Inhaled Steroids and Active Smoking Drive Chronic Obstructive Pulmonary Disease Symptoms and Biomarkers to a Greater Degree Than Airflow Limitation
RATIONALE: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease, and development of novel therapeutics requires an understanding of pathophysiologic phenotypes. OBJECTIVES: The purpose of the Airways Disease Endotyping for Personalized Therapeutics (ADEPT) study was to correlate c...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593220/ https://www.ncbi.nlm.nih.gov/pubmed/28959121 http://dx.doi.org/10.1177/1177271917730306 |
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author | Silkoff, Philip E Singh, Dave FitzGerald, J Mark Eich, Andreas Ludwig-Sengpiel, Andrea Chupp, Geoffrey C Backer, Vibeke Porsbjerg, Celeste Girodet, Pierre-Olivier Dransfield, Mark T Baribaud, Frederic Susulic, Vedrana S Loza, Matthew J |
author_facet | Silkoff, Philip E Singh, Dave FitzGerald, J Mark Eich, Andreas Ludwig-Sengpiel, Andrea Chupp, Geoffrey C Backer, Vibeke Porsbjerg, Celeste Girodet, Pierre-Olivier Dransfield, Mark T Baribaud, Frederic Susulic, Vedrana S Loza, Matthew J |
author_sort | Silkoff, Philip E |
collection | PubMed |
description | RATIONALE: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease, and development of novel therapeutics requires an understanding of pathophysiologic phenotypes. OBJECTIVES: The purpose of the Airways Disease Endotyping for Personalized Therapeutics (ADEPT) study was to correlate clinical features and biomarkers with molecular characteristics in a well-profiled COPD cohort. METHODS: A total of 67 COPD subjects (forced expiratory volume in the first second of expiration [FEV(1)]: 45%-80% predicted) and 63 healthy smoking and nonsmoking controls underwent multiple assessments including patient questionnaires, lung function, and clinical biomarkers including fractional exhaled nitric oxide (FENO), induced sputum, and blood. MEASUREMENTS AND MAIN RESULTS: The impact of inhaled corticosteroids (ICSs), and to a lesser extent current smoking, was more associated with symptom control, exacerbation rates, and clinical biomarkers, than severity by FEV(1). The ICS-treated smoking subjects were most symptomatic, with significantly elevated scores on patient-reported outcomes and more annual exacerbations (P < .05). Inhaled corticosteroid users had greater airflow obstruction and air trapping compared with non-ICS users, regardless of smoking status. Smoking, regardless of ICS use, was associated with significantly lower FENO (P < .05). Smoking, in non-ICS users, was associated with an elevated proportion of sputum neutrophils and reduced sputum macrophages. Increased serum C-reactive protein was observed in smokers but not in ICS and nonsmoking ICS users (P < .05). In contrast, only air trapping and neutrophilic inflammation increased with severity, defined by postbronchodilator FEV(1). CONCLUSIONS: Compared with COPD severity by FEV(1), ICS use and current smoking were better determinants of clinical characteristics and biomarkers. Use of the ADEPT COPD data promises to prove useful in defining biological phenotypes to facilitate personalized therapeutic approaches. |
format | Online Article Text |
id | pubmed-5593220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-55932202017-09-28 Inhaled Steroids and Active Smoking Drive Chronic Obstructive Pulmonary Disease Symptoms and Biomarkers to a Greater Degree Than Airflow Limitation Silkoff, Philip E Singh, Dave FitzGerald, J Mark Eich, Andreas Ludwig-Sengpiel, Andrea Chupp, Geoffrey C Backer, Vibeke Porsbjerg, Celeste Girodet, Pierre-Olivier Dransfield, Mark T Baribaud, Frederic Susulic, Vedrana S Loza, Matthew J Biomark Insights Original Research RATIONALE: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease, and development of novel therapeutics requires an understanding of pathophysiologic phenotypes. OBJECTIVES: The purpose of the Airways Disease Endotyping for Personalized Therapeutics (ADEPT) study was to correlate clinical features and biomarkers with molecular characteristics in a well-profiled COPD cohort. METHODS: A total of 67 COPD subjects (forced expiratory volume in the first second of expiration [FEV(1)]: 45%-80% predicted) and 63 healthy smoking and nonsmoking controls underwent multiple assessments including patient questionnaires, lung function, and clinical biomarkers including fractional exhaled nitric oxide (FENO), induced sputum, and blood. MEASUREMENTS AND MAIN RESULTS: The impact of inhaled corticosteroids (ICSs), and to a lesser extent current smoking, was more associated with symptom control, exacerbation rates, and clinical biomarkers, than severity by FEV(1). The ICS-treated smoking subjects were most symptomatic, with significantly elevated scores on patient-reported outcomes and more annual exacerbations (P < .05). Inhaled corticosteroid users had greater airflow obstruction and air trapping compared with non-ICS users, regardless of smoking status. Smoking, regardless of ICS use, was associated with significantly lower FENO (P < .05). Smoking, in non-ICS users, was associated with an elevated proportion of sputum neutrophils and reduced sputum macrophages. Increased serum C-reactive protein was observed in smokers but not in ICS and nonsmoking ICS users (P < .05). In contrast, only air trapping and neutrophilic inflammation increased with severity, defined by postbronchodilator FEV(1). CONCLUSIONS: Compared with COPD severity by FEV(1), ICS use and current smoking were better determinants of clinical characteristics and biomarkers. Use of the ADEPT COPD data promises to prove useful in defining biological phenotypes to facilitate personalized therapeutic approaches. SAGE Publications 2017-09-07 /pmc/articles/PMC5593220/ /pubmed/28959121 http://dx.doi.org/10.1177/1177271917730306 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Silkoff, Philip E Singh, Dave FitzGerald, J Mark Eich, Andreas Ludwig-Sengpiel, Andrea Chupp, Geoffrey C Backer, Vibeke Porsbjerg, Celeste Girodet, Pierre-Olivier Dransfield, Mark T Baribaud, Frederic Susulic, Vedrana S Loza, Matthew J Inhaled Steroids and Active Smoking Drive Chronic Obstructive Pulmonary Disease Symptoms and Biomarkers to a Greater Degree Than Airflow Limitation |
title | Inhaled Steroids and Active Smoking Drive Chronic Obstructive Pulmonary Disease Symptoms and Biomarkers to a Greater Degree Than Airflow Limitation |
title_full | Inhaled Steroids and Active Smoking Drive Chronic Obstructive Pulmonary Disease Symptoms and Biomarkers to a Greater Degree Than Airflow Limitation |
title_fullStr | Inhaled Steroids and Active Smoking Drive Chronic Obstructive Pulmonary Disease Symptoms and Biomarkers to a Greater Degree Than Airflow Limitation |
title_full_unstemmed | Inhaled Steroids and Active Smoking Drive Chronic Obstructive Pulmonary Disease Symptoms and Biomarkers to a Greater Degree Than Airflow Limitation |
title_short | Inhaled Steroids and Active Smoking Drive Chronic Obstructive Pulmonary Disease Symptoms and Biomarkers to a Greater Degree Than Airflow Limitation |
title_sort | inhaled steroids and active smoking drive chronic obstructive pulmonary disease symptoms and biomarkers to a greater degree than airflow limitation |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593220/ https://www.ncbi.nlm.nih.gov/pubmed/28959121 http://dx.doi.org/10.1177/1177271917730306 |
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