Inhaled corticosteroids (ICS) are considered first-line therapy for the management and control of patients with persistent asthma. Use of inhaled steroids has been associated with reduced airway responsiveness, improved lung function, diminished symptoms, and fewer exacerbations. However studies show considerable inter-subject variability in ICS response with only 33 per cent to 50 per cent of patients demonstrating substantial improvement in forced expiratory volume in 1 second (FEV1) following therapy. It has also been estimated that corticosteroid resistance accounts for half of all asthma-related health care costs. Therefore understanding the factors that contribute to corticosteroid resistance is both clinical and economically important. African-American patients, in particular, appear less likely to respond to corticosteroid therapy when compared with white patients. However, it is not currently known whether this difference results from genetic or environmental factors, or whether differences exist in inhaled steroid responsiveness (i.e., the recommended route of therapy). This question is of particular importance, since African-American patients suffer disproportionately from asthma-related complications. To date there have been studies examining potential mechanisms of corticosteroid responsiveness, but none have addressed inhaled corticosteroid responsiveness, nor were these studies designed to identify potentially causative genetic factors at a population-level. Therefore in this application we first plan to assess differences in inhaled corticosteroid responsiveness (i.e., improvement in FEV1) between African-American and white patients with asthma following 6 weeks of inhaled beclomethasone diproprionate (BD) treatment. Second, we will seek to identify genetic loci associated with ICS responsiveness in this cohort treated with BD for 6 weeks. The diversity of our cohort is a distinct advantage, as it allows us to use both association analysis and admixture mapping to jointly identify loci associated with steroid response. Next, we will take advantage of our ability to assess ICS exposure and clinical outcomes longitudinally in our patient population so as to assess for pharmacogenomic interactions on asthma exacerbations (i.e., asthma-related emergency department visits, asthma-related hospitalizations, and oral steroid bursts) in this same group. Lastly, we will validate observed drug x gene interactions on asthma exacerbations in a separate, larger cohort of patients with asthma. This latter group will also come from our screened asthma population and will comprise those for whom we have both DNA and clinical data (i.e., historic ICS exposure measures and clinical outcomes). Therefore, in this application we plan to identify a set of genetic polymorphisms associated with ICS responsiveness as defined by both an improvement in pulmonary function and an alteration in exacerbation-related clinical outcomes.

Public Health Relevance

Inhaled corticosteroids (ICS) are considered first-line treatment for persistent asthma, yet little is known about the genetic factors that influence response to this therapy. This has particular importance to African American patients who suffer disproportionately from asthma complications and who may be less likely to respond to treatment. This study seeks to quantify response to ICS therapy in African American and white patients, as well as use cutting-edge genetic techniques to look for markers that predict treatment response. Knowledge gained from this study may help clinicians select asthma treatments most likely to work for their patients, as well as provide insight for future asthma therapeutics.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI079139-05
Application #
8435330
Study Section
Infectious Diseases, Reproductive Health, Asthma and Pulmonary Conditions Study Section (IRAP)
Program Officer
Minnicozzi, Michael
Project Start
2009-03-01
Project End
2015-02-28
Budget Start
2013-03-01
Budget End
2015-02-28
Support Year
5
Fiscal Year
2013
Total Cost
$668,904
Indirect Cost
$204,850
Name
Henry Ford Health System
Department
Type
DUNS #
073134603
City
Detroit
State
MI
Country
United States
Zip Code
48202
Ahmedani, Brian K; Peterson, Edward L; Wells, Karen E et al. (2016) Long-term Management of Low Back Pain with Opioids and Non-steroidal Anti-inflammatory Drugs in a Health System. Am J Prev Med 50:e191-3
Yang, James J; Li, Jia; Williams, L Keoki et al. (2016) An efficient genome-wide association test for multivariate phenotypes based on the Fisher combination function. BMC Bioinformatics 17:19
Kessler, Michael D; Yerges-Armstrong, Laura; Taub, Margaret A et al. (2016) Challenges and disparities in the application of personalized genomic medicine to populations with African ancestry. Nat Commun 7:12521
Cajigal, Sonia; Wells, Karen E; Peterson, Edward L et al. (2016) Predictive Properties of the Asthma Control Test and Its Component Questions for Severe Asthma Exacerbations. J Allergy Clin Immunol Pract :
Mathias, Rasika Ann; Taub, Margaret A; Gignoux, Christopher R et al. (2016) A continuum of admixture in the Western Hemisphere revealed by the African Diaspora genome. Nat Commun 7:12522
Velez, Mauricio; Peterson, Edward L; Wells, Karen et al. (2015) Association of antidiabetic medications targeting the glucagon-like peptide 1 pathway and heart failure events in patients with diabetes. J Card Fail 21:2-8
Igartua, Catherine; Myers, Rachel A; Mathias, Rasika A et al. (2015) Ethnic-specific associations of rare and low-frequency DNA sequence variants with asthma. Nat Commun 6:5965
Pino-Yanes, Maria; Thakur, Neeta; Gignoux, Christopher R et al. (2015) Genetic ancestry influences asthma susceptibility and lung function among Latinos. J Allergy Clin Immunol 135:228-35
Padhukasahasram, Badri; Reddy, Chandan K; Levin, Albert M et al. (2015) Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning. PLoS One 10:e0143489
Yessayan, L; Shafiq, A; Peterson, E et al. (2015) Race, Calcineurin Inhibitor Exposure, and Renal Function After Solid Organ Transplantation. Transplant Proc 47:2968-72

Showing the most recent 10 out of 48 publications