Multi-omics Database Construction of Healthy Korean Volunteers

March 25, 2025 updated by: BoHyung Kim, Kyunghee University Medical Center

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

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.

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

3000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Bo-Hyung Kim, M.D., Ph.D.
  • Phone Number: +82-2-958-9765
  • Email: bhkim98@khu.ac.kr

Study Locations

      • Seoul, Korea, Republic of, 02447
        • Recruiting
        • Kyung Hee University Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Healthy volunteers

Description

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 30.0.
  • 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.
  • History of gastrointestinal surgery, excluding simple procedures like appendectomy, cholecystectomy, or hernia repair.
  • Presence of gastrointestinal conditions that may influence microbiome analysis and are not under medical control, including Inflammatory Bowel Disease (IBD) including Crohn's disease and ulcerative colitis, Irritable Bowel Syndrome (IBS) requiring medication, ulcers, acute or chronic pancreatitis, and chronic constipation requiring medication.
  • Diagnosis of ankylosing spondylitis.
  • Requirement for the regular use of incontinence diapers.
  • Positive pregnancy test, or being pregnant or lactating.
  • Any medical condition suspected at the time of microbiome collection that may affect the integrity of the sample.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
5 years
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
5 years
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
5 years
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.
5 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Metabolite peak area (metabolomics)
Time Frame: 5 years
Analysis of metabolites will be performed by matching metabolite ID achieved from LC/MS with Human Metabolome Database (HMDB) for metabolite identification. Analysis on the difference of metabolite between groups will be performed by PCA or PLS-DA using MZmine3, OpenChrome or Metaboanalyst v5.0.
5 years
Relative abundance (virome)
Time Frame: 5 years
Analysis of total virus profiles will be performed by comparing viral protein sequence with NCBI refseq viral database and taxonomy annotation.
5 years
Gene count (transcriptomics)
Time Frame: 5 years
Analysis of bacterial mRNA profiles will be performed through read mapping using NCBI RefSeq database, quantification of gene and transcript & bacterial taxonomic profiling using HUMAnN and MetaPhlAn pipeline, transcript quantification and identification of differentially expressed gene using SALMON and human reference genome fastq file.
5 years
Number of differentially abundant bacterial strains isolated (culturomics)
Time Frame: 5 years
Bacterial strains that exhibit differential abundance between healthy individuals and patients will be inoculated, isolated, and identified.
5 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 29, 2023

Primary Completion (Estimated)

December 31, 2028

Study Completion (Estimated)

December 31, 2028

Study Registration Dates

First Submitted

November 23, 2023

First Submitted That Met QC Criteria

December 14, 2023

First Posted (Actual)

December 27, 2023

Study Record Updates

Last Update Posted (Actual)

March 28, 2025

Last Update Submitted That Met QC Criteria

March 25, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • MB-HV-01

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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