Chronic Obstuctive Pulmonary Disease
Conditions
Keywords
Chronic Obstructive Pulmonary Disease (COPD)
Brief summary
This is a cross sectional case controlled study to assess lung microbiome and inflammation in smokers with and without Chronic Obstructive Pulmonary Disease (COPD). Investigators will look at active bacterial metabolic pathways in the lower airways using metagenomic and metabolomic approaches an assess relationships among microbiome, metagenome, metabolome and host immune responses in COPD and controls. Investigators believe COPD cases will have higher prevalence of pneumotype supraglottic predominant taxa (SPT) than matched controls.
Interventions
Flexible bronchoscopy with bronchoalveolar lavage (BAL) and bronchial brushings will be done in a standardized manner. The bronchoscope tip is sequentially wedged in sub-segments where BAL will be performed on a total of two segments of the lung (120 ml in each segment for a total of 360 ml). Two brushes will be done under direct visualization in both segments. Selection of segments to sample will be based on where abnormalities are in imaging.
Sponsors
Study design
Eligibility
Inclusion criteria
* Case definition: Smokers (\>20 pack-year) with airflow obstruction (FEV1/FVC\<70) and FEV1\>50% predicted (early COPD GOLD 1 or 2) * Control definition: Smokers with normal spirometry will serve as controls.
Exclusion criteria
* FEV1 \< 50% NOT 70 * Significant cardiovascular disease defined as abnormal EKG, known or suspected coronary artery disease or congestive heart failure. * Diabetes mellitus * Significant liver or renal disease * Severe coagulopathy (INR \> 1.4, PTT \> 40 seconds and platelet count \< 150x103 cells). * Pregnancy * ETOH use of more than \>6 beers or \>4 mixed drinks daily * Lack of capacity to provide informed consent. * Antibiotic use within the prior 2months
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Site specific microbiome (supraglotic area) constituents using background subtraction and source tracking approaches via a multivariable conditional logistic regression model. following broncho-alveolar lavage, BAL | 4 Hours |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Bacterial metabolic pathways in the lower airways using metagenomic and metabolomic approaches | 4 Hours | Bioinformatic methods such as Procrustes will be used to integrate the analysis of the generated multi-omic datasets through this study to attain a more accurately defined COPD phenotype. By elucidating the interplay between bacterial composition, microbiome functional repertoire, metabolism, and immunological status in the human lung, we will obtain further insights for hypothesis generation into the pathophysiological mechanisms underlying COPD. |
Countries
United States
Contacts
New York University Medical School