Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Kyunghee University Medical Center | OTHER |
| Hanyang University | OTHER |
Not provided
Not provided
Not provided
Not provided
Building a Microbiome Data Platform and Conducting Clinical Evidence Research in Individuals Infected with the Human Immunodeficiency Virus (HIV) and Hepatitis B virus.
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| HIV | Patients with HIV infection | ||
| HBV | Patients with HBV infection |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Collect clinical information data and stool from HIV and HBV patients | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Shotgun metagenomic sequencing will be done with stool collected from HIV and HBV patients | 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. |
Not provided
Inclusion Criteria:
HIV patients
HBV patients
Exclusion Criteria:
Not provided
Not provided
Not provided
Individuals with chronic viral diseases will be evaluated.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Bomi Kim, M.D. | Contact | 82-10-8797-7558 | springi02@naver.com |
| Name | Affiliation | Role |
|---|---|---|
| Eunjeong Joo, M.D., Ph.D | Kangbuk Samsung Hospital | Principal Investigator |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D000163 | Acquired Immunodeficiency Syndrome |
| D019694 | Hepatitis B, Chronic |
| ID | Term |
|---|---|
| D015658 | HIV Infections |
| D000086982 | Blood-Borne Infections |
| D003141 | Communicable Diseases |
| D007239 | Infections |
Not provided
Not provided
Not provided
Not provided
Not provided
| 2 years |
| D015229 |
| Sexually Transmitted Diseases, Viral |
| D012749 | Sexually Transmitted Diseases |
| D016180 | Lentivirus Infections |
| D012192 | Retroviridae Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
| D012897 | Slow Virus Diseases |
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
| D007153 | Immunologic Deficiency Syndromes |
| D007154 | Immune System Diseases |
| D006509 | Hepatitis B |
| D018347 | Hepadnaviridae Infections |
| D004266 | DNA Virus Infections |
| D006525 | Hepatitis, Viral, Human |
| D006521 | Hepatitis, Chronic |
| D006505 | Hepatitis |
| D008107 | Liver Diseases |
| D004066 | Digestive System Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |