Chronic Obstuctive Pulmonary Disease Clinical Trial
Official title:
Lung Microbiome and Inflammation in Early Chronic Obstructive Pulmonary Disease (COPD)
NCT number | NCT02777879 |
Other study ID # | 14-01546 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | May 2014 |
Est. completion date | August 2026 |
Verified date | April 2024 |
Source | NYU Langone Health |
Contact | Rosemary Schluger |
Rosemary.Schluger[@]nyulangone.org | |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Recruiting |
Enrollment | 230 |
Est. completion date | August 2026 |
Est. primary completion date | August 2026 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 70 Years |
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 |
Country | Name | City | State |
---|---|---|---|
United States | New York University School of Medicine | New York | New York |
Lead Sponsor | Collaborator |
---|---|
NYU Langone Health |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | 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 | Bacterial metabolic pathways in the lower airways using metagenomic and metabolomic approaches | 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. | 4 Hours |