# Mitochondrial metabolic remodeling predicts therapeutic response to PegIFN-α in chronic hepatitis B

## TL;DR

This study shows that changes in mitochondrial metabolism can predict how well patients with chronic hepatitis B respond to PegIFN-α treatment.

## Contribution

The study introduces mitochondrial metabolic profiles as a novel predictor of therapeutic response to PegIFN-α in chronic hepatitis B.

## Key findings

- Untreated CHB patients showed mitochondrial depletion across immune subsets.
- PegIFN-α therapy remodeled CD4+ T cell metabolism and improved mitochondrial efficiency in CD8+ T cells.
- An integrated immune-metabolic model enhanced accuracy for predicting functional cure.

## Abstract

Chronic hepatitis B (CHB) remains a global health challenge, with current therapies achieving low rates of functional cure (FC). Reliable biomarkers are urgently needed to guide individualized treatment. This study characterized the immune–metabolic profiles of CHB patients receiving pegylated interferon-α (PegIFN-α) or nucleos(t)ide analogues (NAs), focusing on mitochondrial function as a novel predictor of therapeutic response.

A total of 93 CHB patients and 32 healthy controls were recruited from three centers. Peripheral blood leukocyte subsets and mitochondrial parameters, including mitochondrial mass (MM) and the percentage of cells with low mitochondrial membrane potential (MMPlow%), were assessed by flow cytometry. Multivariate logistic regression and receiver operating characteristic (ROC) analyses were used to identify independent predictors and evaluate biomarker performance for FC.

Untreated CHB patients showed marked mitochondrial depletion across immune subsets. NA therapy normalized mitochondrial parameters without improving FC rates, whereas PegIFN-α therapy selectively remodeled CD4+ T cell metabolism and promoted monocyte differentiation. Improved mitochondrial efficiency in CD8+ T cells and elevated monocyte counts were closely associated with HBsAg clearance. Lymphocyte MMPlow% showed the strongest individual predictive value, while an integrated immune–metabolic model further enhanced accuracy for FC prediction.

Immune–metabolic remodeling underlies PegIFN-α–induced functional cure in CHB. Mitochondrial profiling provides a promising framework for precision stratification and immune-based therapeutic optimization.