Studies in SARP have shown that adult and pediatric asthma patients can be grouped into different phenotypes on a spectrum of disease severity. However, there remains a clear need to validate and improve the fidelity of phenotype designation, establish its stability over time, and determine the critical variables that may contribute to """"""""phenotype progression"""""""". We have shown that patients with severe asthma have more extensive air trapping compared to those with non-severe asthma. Airway imaging has shown increased heterogeneous regional ventilation defects and air trapping. Some of these defects are persistent, while others can be provoked with virus-induced exacerbations or bronchial challenge and recur in the same general areas on repeated challenge, suggesting localized airway dysfunction. In preliminary studies, inflammatory parameters tended to be more prominent in segments that showed ventilation defects on imaging. In other studies, we showed that children with recurrent severe wheezing episodes have lower lung function later on, an observation supported by published studies on adult and pediatric patients with asthma. Therefore, we hypothesize that severe asthma exacerbations, in some patients, are associated with incomplete recovery and activation of airway inflammatory cells in a regional distribution. This leads to enhanced airway injury with airway dysfunction as reflected by ventilation defects and air trapping, and a more generalized increase in disease severity. To evaluate this hypothesis we propose the following specific aims: 1. To refine phenotyping of severe asthma using new variables from multiple domains in a large longitudinal patient cohort;and to determine the contribution of severe asthma exacerbations to disease progression. 2. To characterize regional obstructive patterns at baseline and their relationship to changes in pulmonary function;and to determine how incremental changes in regional airway dysfunction after recovery from asthma exacerbation may contribute to severe asthma. 3. To determine the contribution of established and novel biomarkers (YKL-40, vWF, &P-selectin), in refining the severe asthma phenotypes and the role of inflammatory cells in causing airway injury following virus-induced asthma exacerbations with subsequent development of ventilation defects. We have the necessary resources, expertise and commitment to successfully execute these studies and to better define severe asthma phenotypes with the goal of improving patient outcomes.

Public Health Relevance

The novel information gained from these studies will inform new definitions and phenotyping of severe asthma, and pave the way for exploring potential new paradigms for preventing disease progression and incorporating phenotype-informed treatment modalities that would positively impact patient outcome.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Cooperative Clinical Research--Cooperative Agreements (U10)
Project #
5U10HL109168-03
Application #
8496108
Study Section
Special Emphasis Panel (ZHL1-CSR-K (M2))
Program Officer
Noel, Patricia
Project Start
2011-08-08
Project End
2017-05-31
Budget Start
2013-06-01
Budget End
2014-05-31
Support Year
3
Fiscal Year
2013
Total Cost
$632,642
Indirect Cost
$204,241
Name
University of Wisconsin Madison
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Choi, Sanghun; Hoffman, Eric A; Wenzel, Sally E et al. (2017) Quantitative computed tomographic imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes. J Allergy Clin Immunol 140:690-700.e8
Phipatanakul, Wanda; Mauger, David T; Sorkness, Ronald L et al. (2017) Effects of Age and Disease Severity on Systemic Corticosteroid Responses in Asthma. Am J Respir Crit Care Med 195:1439-1448
Adamson, Erin B; Ludwig, Kai D; Mummy, David G et al. (2017) Magnetic resonance imaging with hyperpolarized agents: methods and applications. Phys Med Biol 62:R81-R123
Rodriguez, Alfonso; Ranallo, Frank N; Judy, Philip F et al. (2017) The effects of iterative reconstruction and kernel selection on quantitative computed tomography measures of lung density. Med Phys 44:2267-2280
Teague, W Gerald; Phillips, Brenda R; Fahy, John V et al. (2017) Baseline Features of the Severe Asthma Research Program (SARP III) Cohort: Differences with Age. J Allergy Clin Immunol Pract :
Mummy, David G; Kruger, Stanley J; Zha, Wei et al. (2017) Ventilation defect percent in helium-3 magnetic resonance imaging as a biomarker of severe outcomes in asthma. J Allergy Clin Immunol :
Ricklefs, Isabell; Barkas, Ioanna; Duvall, Melody G et al. (2017) ALX receptor ligands define a biochemical endotype for severe asthma. JCI Insight 2:
Ebner, Lukas; Kammerman, Jeff; Driehuys, Bastiaan et al. (2017) The role of hyperpolarized 129xenon in MR imaging of pulmonary function. Eur J Radiol 86:343-352
Johansson, Mats W; Evans, Michael D; Crisafi, Gina M et al. (2016) Serum periostin is associated with type 2 immunity in severe asthma. J Allergy Clin Immunol 137:1904-1907.e2
Luyster, Faith S; Strollo Jr, Patrick J; Holguin, Fernando et al. (2016) Association Between Insomnia and Asthma Burden in the Severe Asthma Research Program (SARP) III. Chest 150:1242-1250

Showing the most recent 10 out of 27 publications