Pulmonary Disease, Chronic Obstructive Clinical Trial
Official title:
Analysis of the Microbiome in the Healthy Smokers and COPD Patients
This study is to build a microbiome cohort by collecting sputum and fecal samples every few months for three years from healthy smokers and chronic obstructive pulmonary disease (COPD) patients. The aim of this study is to analyze the composition of microbiome of various samples (e.g. sputum, feces) and describe the difference between healthy smokers and COPD patients.
Status | Not yet recruiting |
Enrollment | 60 |
Est. completion date | December 31, 2023 |
Est. primary completion date | December 31, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Patients with smoking history at least 10 pack-year - Patients with persistent airflow limitation that was not fully reversible (e.g. post-bronchodilator forced expiratory volume in 1 second/forced vital capacity (FEV1/FVC) <0.7) Exclusion Criteria: - Patients with co-existing illness that would interfere with study results (e.g., malignancy, congestive heart failure, cerebrovascular disorders, chronic renal failure, diabetes with severe complications, or uncontrolled hypertension) - Patients with respiratory disease other than obstructive lung disease (e.g., previous pulmonary resection, tuberculosis-destroyed lung, and bronchiectasis) |
Country | Name | City | State |
---|---|---|---|
Korea, Republic of | Department of Pulmonary and Critical Care Medicine and Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine | Seoul |
Lead Sponsor | Collaborator |
---|---|
Asan Medical Center |
Korea, Republic of,
Cabrera-Rubio R, Garcia-Núñez M, Setó L, Antó JM, Moya A, Monsó E, Mira A. Microbiome diversity in the bronchial tracts of patients with chronic obstructive pulmonary disease. J Clin Microbiol. 2012 Nov;50(11):3562-8. doi: 10.1128/JCM.00767-12. Epub 2012 Aug 22. — View Citation
Erb-Downward JR, Thompson DL, Han MK, Freeman CM, McCloskey L, Schmidt LA, Young VB, Toews GB, Curtis JL, Sundaram B, Martinez FJ, Huffnagle GB. Analysis of the lung microbiome in the "healthy" smoker and in COPD. PLoS One. 2011 Feb 22;6(2):e16384. doi: 10.1371/journal.pone.0016384. — View Citation
Kim HJ, Kim YS, Kim KH, Choi JP, Kim YK, Yun S, Sharma L, Dela Cruz CS, Lee JS, Oh YM, Lee SD, Lee SW. The microbiome of the lung and its extracellular vesicles in nonsmokers, healthy smokers and COPD patients. Exp Mol Med. 2017 Apr 14;49(4):e316. doi: 10.1038/emm.2017.7. — View Citation
Morris A, Beck JM, Schloss PD, Campbell TB, Crothers K, Curtis JL, Flores SC, Fontenot AP, Ghedin E, Huang L, Jablonski K, Kleerup E, Lynch SV, Sodergren E, Twigg H, Young VB, Bassis CM, Venkataraman A, Schmidt TM, Weinstock GM; Lung HIV Microbiome Project. Comparison of the respiratory microbiome in healthy nonsmokers and smokers. Am J Respir Crit Care Med. 2013 May 15;187(10):1067-75. doi: 10.1164/rccm.201210-1913OC. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Alpha diversity measured by operational taxonomic unit (OTU) quantitative analysis | DNA is extracted from each sample from each patient by using a DNA Isolation Kit. The 16S universal primers are used for amplification of 16S ribosomal ribonucleic acid (rRNA) genes with polymerase chain reaction (PCR) system. After amplication, sequencing is performed using the GREENGENES database, after which a metagenomic analysis was performed by the MD Healthcare corporation using MDx-Pro software (Ver.1, Seoul, South Korea). Taxonomic assignment of these sequences is carried out with an operational taxonomic unit (OTU) cutoff of 3%. | An average of 3 months | |
Primary | Microbiome composition by metagenomic analysis | The composition of microbiome is presented as bar graph. | An average of 3 months | |
Secondary | Biodiversity described by the Shannon diversity index and the Simpson index | The Shannon index and the Simpson index is calculated by using metagenomic data. | An average of 3 months | |
Secondary | Biodiversity described by Principal Component Analysis (PCA) | PCA is performed for all 16S rRNA gene reads clustered at a 97% similarity. | An average of 3 months |
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