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.
Study Type
OBSERVATIONAL
Enrollment
200
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.
Time frame: 2 years
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.
Time frame: 2 years
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.