An immune-based predictive model for HBV clearance: validation in multicenter cohorts and mechanistic insights from in vivo studies.

ABSTRACT:

Background

Chronic HBV infection is a major risk factor for hepatocellular carcinoma, posing a significant global health burden. However, predictive models for HBV clearance based on immune biomarkers remain limited.

Methods

We systematically developed a predictive tool by quantifying mRNA expression levels of CD4⁺ T-cell subset transcription factors, cytokines, and immune checkpoints in PBMCs from chronic HBV patients and resolved HBV individuals using RT-qPCR. A binary logistic regression model was constructed in the training cohort, with performance evaluated by ROC and calibration curves, followed by internal and external validation in independent cohorts. For in vivo validation, an HBV-transfected mouse model was established via rapid tail vein injection of pGL3-CP-Fluc

SUBMITTER: Zhang R 

PROVIDER: S-EPMC12096729 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature