We hypothesize that 1) an important cause of severe asthma is altered inflammatory responses that are partially related to sequence variants in genes that regulate bronchial inflammation, pulmonary function or affect structural components in the airways and 2) a subset of patients develops severe asthma because of pharmacogenetic responses to pharmacologic agents.
Our first aim i s to understand the longitudinal characteristics that are important in the development of severe asthma using both standard and cluster approaches. For each of the first 3 years, we will recruit and characterize 96 subjects (60 % with severe asthma, 25% children;assuming 20% loss to follow up). Baseline and 3 year studies will include PFTs, maximum bronchodilator reversibility, bronchial responsiveness to methacholine, comprehensive questionnaires, blood for eosinophils, neutrophils, DNA and total serum IgE levels, induced sputum, eNO and CT imaging. In a substudy, investigative bronchoscopy will be performed at baseline and year 3. An evoked phenotype will be assessed two weeks after administration of triamcinolne acetonide injectable suspension by evaluating changes in baseline phenotypes including lung function, bronchial responsiveness, induced sputum and biomarkers. Subjects will be reassessed yearly (spirometry and reversibility, eNO, sputum induction and questionnaires) with additional telephone contact every six months. Each subject will be asked to return for an additional visit when they are experiencing an exacerbation. All studies with the exception of bronchoscopy and CT imaging will be performed in children.
Our second aim i s to determine genetic and biomarker predictors of baseline phenotypes and their change over time. New subjects will be assigned to a current SARP asthma cluster. When the total population has been studied, a new cluster analysis will be performed for comparison with the current clusters, including additional biomarkers and CT imaging. Individual changes in cluster assignment will be assessed longitudinally. Biomarker and genetic analysis (including the role of rare variants) will be performed using the clusters and longitudinal data including lung function, as well as pharmacogenetic analysis of the evoked systemic steroid phenotype.

Public Health Relevance

The purpose of this proposal is twofold: First, to understand the longitudinal characteristics that are important in the development of severe asthma using both standard and novel analytical approaches and second, to determine genetic and biomarker predictors of baseline phenotypes and their change overtime.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Cooperative Clinical Research--Cooperative Agreements (U10)
Project #
1U10HL109164-01
Application #
8175592
Study Section
Special Emphasis Panel (ZHL1-CSR-K (M2))
Program Officer
Smith, Robert A
Project Start
2011-08-08
Project End
2017-06-30
Budget Start
2011-08-08
Budget End
2012-06-30
Support Year
1
Fiscal Year
2011
Total Cost
$582,641
Indirect Cost
Name
Wake Forest University Health Sciences
Department
Other Health Professions
Type
Schools of Medicine
DUNS #
937727907
City
Winston-Salem
State
NC
Country
United States
Zip Code
27157
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Peters, Michael C; McGrath, Kelly Wong; Hawkins, Gregory A et al. (2016) Plasma interleukin-6 concentrations, metabolic dysfunction, and asthma severity: a cross-sectional analysis of two cohorts. Lancet Respir Med 4:574-84

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