Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study. Issue 1 (December 2016)
- Main Title:
- Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study
- Authors:
- Loza, Matthew
Djukanovic, Ratko
Chung, Kian
Horowitz, Daniel
Ma, Keying
Branigan, Patrick
Barnathan, Elliot
Susulic, Vedrana
Silkoff, Philip
Sterk, Peter
Baribaud, Frédéric - Abstract:
- Abstract 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 aAbstract 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 andNCT01982162 (U-BIOPRED), registered October 30, 2013. … (more)
- Is Part Of:
- Respiratory research. Volume 17:Issue 1(2016)
- Journal:
- Respiratory research
- Issue:
- Volume 17:Issue 1(2016)
- Issue Display:
- Volume 17, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 17
- Issue:
- 1
- Issue Sort Value:
- 2016-0017-0001-0000
- Page Start:
- 1
- Page End:
- 21
- Publication Date:
- 2016-12
- Subjects:
- Cluster analysis -- Biological markers -- Observational study
Respiratory organs -- Diseases -- Periodicals
616.2005 - Journal URLs:
- http://pubmedcentral.nih.gov/tocrender.fcgi?journal=80 ↗
http://respiratory-research.com/home ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12931-016-0482-9 ↗
- Languages:
- English
- ISSNs:
- 1465-993X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9966.xml