Airway Microbiome in Asthma: Relationships to Asthma Phenotype and Inhaled Corticosteroid Treatment
Overview
- Phase
- Not Applicable
- Intervention
- fluticasone
- Conditions
- Asthma
- Sponsor
- Milton S. Hershey Medical Center
- Enrollment
- 84
- Locations
- 9
- Primary Endpoint
- Microbial Community Diversity
- Status
- Completed
- Last Updated
- 9 years ago
Overview
Brief Summary
There are new, very sensitive methods for detecting bacteria. These methods show that hundreds of millions of microbes (organisms that can only be seen with microscopes), especially bacteria, live in healthy people. The collection of different microbes found in a site is called a "microbiome." The investigators know that microbiomes of the skin, sinuses, mouth, gastro-intestinal tract, etc. differ from each other. The make-up of the microbiome - which bacteria are found in a site - may be necessary for good health. For example, the microbiome of the mouth is different in people with inflammation of the gums (periodontitis), and the microbiome of the bowel is different in people with inflammation of the intestinal tract (inflammatory bowel disease).
The purpose of this research study is to find out if the microbiome in the lungs is different in healthy people without asthma compared to people with asthma. This study will also find out if the microbiome of the lungs changes when people with asthma take a daily "controller" medication called an inhaled corticosteroid.
Detailed Description
Two broad specific aims of this study are: 1)To evaluate whether the microbiota of the bronchial airways in atopic asthmatics and atopic healthy controls differ in microbial diversity, richness, evenness, or composition of specific bacterial taxa. 2) To determine whether inhaled corticosteroid treatment alters bronchial microbial community composition in asthmatics.
Investigators
dave mauger
Professor of Public Health Sciences
Milton S. Hershey Medical Center
Eligibility Criteria
Inclusion Criteria
- •History of physician-diagnosed asthma.
- •Methacholine PC20 \< 8mg/ml and/or FEV1 improvement ≥ 12% in response to 180 mcg albuterol.
- •FEV1 ≥ 70% of predicted after 180 mcg albuterol.
- •Stable asthma for ≥ 3 months prior to enrollment (no urgent care visits, no systemic corticosteroid treatment).
- •Asthma Control Questionnaire 6 Score \< 1.
- •Able to provide informed consent.
- •Able to perform spirometry as per ATS criteria.
- •Evidence by allergen skin test of sensitivity to an aeroallergen.
- •Willingness, if female and able to conceive, to utilize one medically-acceptable form of contraception.
- •Healthy Control:
Exclusion Criteria
- •Presence of lung disease other than asthma.
- •Use of \> 10 doses of nasal corticosteroids in the previous 3 months.
- •Presence of significant medical illness or other chronic diseases whose treatment could affect the clinical features measured, responses to the therapies to be given in this study, or risks of participating in the study.
- •History of atrial or ventricular tachyarrhythmia.
- •Changes suggestive of cardiac ischemia on ECG at baseline.
- •History of upper respiratory infection, sinusitis, bronchitis, or antibiotic use in the previous 3 months.
- •History of chronic sinus disease.
- •Smoking \> 5 pack-years, or within the past year
- •History of long-term controller medication use for asthma (inhaled or oral corticosteroid, leukotriene pathway antagonist, cromolyn, or theophylline within the preceding 6 months.
- •History of bleeding disorder.
Arms & Interventions
Inhaled corticosteroid
Fluticasone (250 mcg/puff, one puff, twice a day)
Intervention: fluticasone
Placebo
Placebo fluticasone (one puff, twice a day)
Intervention: Placebo
Outcomes
Primary Outcomes
Microbial Community Diversity
Time Frame: baseline and after 6 weeks of treatment
The Shannon diversity index is a type of entropy measure and is a function of the distribution of the total number of organisms across all of the species. If S is the total number of species in the sample and p_i is the number of organisms in the i-th species divided by the total number of organisms, then Diversity = -Σ p_i log(p_i).
Microbial Community Richness
Time Frame: baseline and after 6 weeks of treatment
Richness is the total number of different bacterial taxa detected in the sample.
Microbial Community Evenness
Time Frame: baseline and after 6 weeks of treatment
Pielou's evenness index is a scaled measure of biodiversity and is equal to the observed Shannon diversity index divided by the maximum possible Shannon diversity index, which would occur if all of the species in the sample were equally abundant. Evenness = D/log(S), where D is the Shannon Diversity index and log(S) is the maximum diversity of the sample.