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Analysis of the Microbiome in the Healthy Smokers and COPD Patients

Conditions
Pulmonary Disease, Chronic Obstructive
Microbiota
Interventions
Diagnostic Test: Obtain samples from sputum and feces
Registration Number
NCT04336423
Lead Sponsor
Asan Medical Center
Brief Summary

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.

Detailed Description

After the introduction of the gut-lung axis theory, extensive studies revealed the diversity of microbiomes among healthy smokers and COPD patients form the respiratory samples or lung tissues. In the previous study, distinct difference in composition of microbiome in lung tissue between healthy smokers and COPD patients was reported. 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 who are being followed up by Asan Medical Center. 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. This study would help establishing gut-lung axis model in humans.

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
60
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)
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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)
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Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Healthy smokerObtain samples from sputum and fecesHealthy smokers with smoking history at least 10 pack-years and normal spirometry value
COPD patientObtain samples from sputum and fecesPatients with smoking history at least 10 pack-years and 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)
Primary Outcome Measures
NameTimeMethod
Microbiome composition by metagenomic analysisAn average of 3 months

The composition of microbiome is presented as bar graph.

Alpha diversity measured by operational taxonomic unit (OTU) quantitative analysisAn average of 3 months

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%.

Secondary Outcome Measures
NameTimeMethod
Biodiversity described by the Shannon diversity index and the Simpson indexAn average of 3 months

The Shannon index and the Simpson index is calculated by using metagenomic data.

Biodiversity described by Principal Component Analysis (PCA)An average of 3 months

PCA is performed for all 16S rRNA gene reads clustered at a 97% similarity.

Trial Locations

Locations (1)

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

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Seoul, Korea, Republic of

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