Gut Microbiome in People Living With HIV and HBV

November 8, 2023 updated by: Eun-Jeong Joo, Kangbuk Samsung Hospital

Genome-based Multiomics Analysis on Gut Microbiome in People Living With HIV and HBV

Building a Microbiome Data Platform and Conducting Clinical Evidence Research in Individuals Infected with the Human Immunodeficiency Virus (HIV) and Hepatitis B virus.

Study Overview

Status

Not yet recruiting

Detailed Description

Chronic HIV infection, which often results in metabolic disorders, leads to shifts in the gut microbiota, contributing to immune activation and chronic inflammation. This study seeks to compare the gut microbiota in individuals with chronic HIV infection and chronic hepatitis B patients. The objective is to identify specific gut bacterial strains and metabolic pathways linked to the metabolic disorders commonly observed in HIV patients.

Study Type

Observational

Enrollment (Estimated)

200

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

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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Individuals with chronic viral diseases will be evaluated.

Description

Inclusion Criteria:

  1. HIV patients

    • Inidividuals over 19 years old
    • HIV patients on antiretroviral therapy (ART)
  2. HBV patients

    • Individuals over 19 years old
    • Chronic hepatitis B patients with either chronic hepatitis, liver cirrhosis or hepatocellular carcinoma

Exclusion Criteria:

  1. Patients with indeterminate colitis
  2. Individuals who have used antibiotics or steroids within 24 hours of the microbiome sample collection (excluding antiviral treatments for hepatitis B and HIV)
  3. Individuals who have used vaginal or external medications, including antifungal agents, within 24 hours of microbiome sample collection
  4. Those with acute illnesses, with or without fever, of moderate or severe severity; however, sampling may be postponed until the subject recovers.
  5. Individuals with gastrointestinal disorders that may impact microbiome analysis and are currently medically uncontrolled or under treatment for the respective condition
  6. Individuals with a positive result in a urine pregnancy test, pregnant, or breastfeeding at the time of microbiome sample collection
  7. Individuals for whom medical opinions suspect that they may have an impact on the sample collection at the time of microbiome collection.

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

Cohorts and Interventions

Group / Cohort
HIV
Patients with HIV infection
HBV
Patients with HBV infection

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Collect clinical information data and stool from HIV and HBV patients
Time Frame: 2 years
Clinical information data will be collected from both HIV and HBV infected patients. Biosamples collected from these individuals will be used to establish a multi-omics analysis platform, including the examination of the intestinal microbiome. With this platform, comparative clinical studies will be conducted to uncover the disease's pathophysiology and identify potential biomarkers related to metabolic diseases.
2 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Shotgun metagenomic sequencing will be done with stool collected from HIV and HBV patients
Time Frame: 2 years

Diversity analysis: Alpha and beta diversity analyses are conducted to determine differences in the composition of gut microbiota between healthy individuals and patients.

Important feature selection: Differential abundance analysis (e.g., using methods like LEfSe or ANCOM) or machine learning (e.g., random forest, support vector machine) is employed to identify microbiota.

Functional profile prediction: In cases where metagenomic analysis is not feasible, the PICRUSt2 program is utilized to predict and analyze functional profiles based on the phylogeny of the microbiota present in healthy individuals and patients.

2 years

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Eunjeong Joo, M.D., Ph.D, Kangbuk Samsung Hospital

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 (Estimated)

November 27, 2023

Primary Completion (Estimated)

December 31, 2025

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

November 8, 2023

First Submitted That Met QC Criteria

November 8, 2023

First Posted (Estimated)

November 14, 2023

Study Record Updates

Last Update Posted (Estimated)

November 14, 2023

Last Update Submitted That Met QC Criteria

November 8, 2023

Last Verified

November 1, 2023

More Information

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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