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Clinical Trials/NCT06183697
NCT06183697
Recruiting
Not Applicable

Clinical Study for Multi-omics Database Construction of a Cohort of Healthy Korean Volunteers for Integrative Microbiome Analysis

Kyunghee University Medical Center1 site in 1 country3,000 target enrollmentDecember 29, 2023
ConditionsHealthy

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Healthy
Sponsor
Kyunghee University Medical Center
Enrollment
3000
Locations
1
Primary Endpoint
Alpha diversity of microbiome (Faith's phylogenetic diversity whole tree)
Status
Recruiting
Last Updated
last year

Overview

Brief Summary

The goal of this prospective, observational study is to collect health-related data including microbiome, blood samples, and dietary habits from the oral and gastrointestinal tracts in healthy subjects. In addition, the study aims to perform microbiome and multi-omics analysis on the collected samples and build an integrated database of the data.

Registry
clinicaltrials.gov
Start Date
December 29, 2023
End Date
December 31, 2028
Last Updated
last year
Study Type
Observational
Sex
All

Investigators

Responsible Party
Principal Investigator
Principal Investigator

BoHyung Kim

Professor

Kyunghee University Medical Center

Eligibility Criteria

Inclusion Criteria

  • Subjects who are at least 13 years old and no older than 85 years old at the time of giving their informed consent.
  • Subjects who have received a comprehensive explanation of this study, fully understand it, and have voluntarily agreed to participate, providing signed and dated informed consent.
  • Subjects considered eligible for participation in the study by the researcher, based on screening procedures including physical examination, clinical laboratory tests, and questionnaires.

Exclusion Criteria

  • Subjects with a Body Mass Index (BMI) below 17.0 or above 30.
  • Vital signs at rest showing a systolic blood pressure ≥ 160 mmHg or diastolic blood pressure ≥ 100 mmHg, along with symptoms related to high blood pressure such as headaches.
  • History of using specified drugs within a predetermined period before microbiome collection, as detailed in the Appendix.
  • Receipt of any vaccination within the last 4 weeks prior to microbiome collection.
  • Use of topical antibiotics or steroids on the face, scalp, neck, arms, forearms, or hands within 24 hours before microbiome collection.
  • Application of vaginal or vulvar medications, including antifungals, within 24 hours of microbiome collection.
  • Presence of an acute disease at the time of enrollment. Acute disease is defined as the presence of a moderate or severe illness with or without fever. Sampling can be deferred until the subject recovers.
  • History of chronic, clinically significant disorders affecting the hepatic, digestive, circulatory, renal, neurological, respiratory, endocrine, immune, or hematological systems, as well as malignant tumors, psychiatric conditions, or substance abuse.
  • Substantial dietary alterations for rapid weight gain or loss within 4 weeks of the microbiome collection.
  • Positive serological tests (HBs antigen, HCV antibody, and HIV antibody tests) or results above the reference range.

Outcomes

Primary Outcomes

Alpha diversity of microbiome (Faith's phylogenetic diversity whole tree)

Time Frame: 5 years

Alpha diversity will be measured using Faith's phylogenetic diversity whole tree, representing the sum of all branch lengths as a measure of phylogeny and diversity.

Relative abundance of microbome

Time Frame: 5 years

Analysis of the microbial community composition will be performed using 16s rRNA gene amplicon sequencing. The relative abundance of microbial species at the genus or family level will be assessed.

Alpha diversity of microbiome (Shannon diversity index)

Time Frame: 5 years

Alpha diversity will be measured using Shannon diversity index to combine ASV richness and abundance into a single evenness value

Alpha diversity of microbiome (Fisher's index)

Time Frame: 5 years

Alpha diversity will be measured using Fisher's index, which calculates the relationship between abundance and number

Secondary Outcomes

  • Gene count (transcriptomics)(5 years)
  • Relative abundance (virome)(5 years)
  • Number of differentially abundant bacterial strains isolated (culturomics)(5 years)
  • Metabolite peak area (metabolomics)(5 years)

Study Sites (1)

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