Search PubMedSearch

PubMed · 41198171

HBsAg decline and clearance with peg-IFN therapy added to nucleos(t)ide analogues: an individual participant data meta-analysis of prospective trials (PROSPER).

Abstract

BACKGROUND: Peg-interferon (peg-IFN) plays an increasingly important role in HBV cure strategies, either in combination with novel antivirals, as a lead-in or as consolidation treatment. OBJECTIVE: We aimed to provide estimates of hepatitis B surface antigen (HBsAg) decline and clearance that can be achieved with peg-IFN addition to nucleos(t)ide analogue (NA) therapy. DESIGN: This is a post hoc meta-analysis of individual participant data from eight clinical trials involving chronic hepatitis B patients on NA therapy who received peg-IFN add-on. The primary endpoint was HBsAg loss at end of follow-up (EOF, 6-12 months after end of peg-IFN). Secondary analyses focused on HBsAg decline. RESULTS: 581 patients were included. At the start of peg-IFN therapy (SOT), 44% were hepatitis B envelope antigen (HBeAg) positive, mean HBsAg level was 3.03 log10 IU/mL (HBsAg<100: 12%; 100-1000: 28%; &#x2265;1000: 60%), and planned duration of peg-IFN was 48 weeks in 496 patients (85%).At EOF, 50 (8.6%) patients achieved HBsAg loss (HBsAg<100/100-1000/&#x2265;1000: 37.7/9.8/2.3%, p<0.001) Findings were consistent across ethnicities (Caucasian: 30.0/8.7/3.6%; Asian: 39.3/9.2/2.2%). In patients with SOT HBsAg&#x2265;1000 IU/mL, levels <1000 and <100 were achieved in 29.7% and 8.9% at 24 weeks and in 47.5% and 16.3% at 48 weeks of peg-IFN therapy, respectively. CONCLUSION: Peg-IFN add-on results in HBsAg loss in 18% of patients with SOT HBsAg<1000 IU/mL, and in 38% if SOT HBsAg<100 IU/mL. Among patients with higher HBsAg levels, peg-IFN could be used to reduce HBsAg to below thresholds associated with response to novel compounds.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Edo J Dongelmans, Lesley A Patmore, Seng Gee Lim, Marc Bourliere, Shaowen Jiang, Nathalie Ganne-Carrie, Willem-Pieter Brouwer, Jordan J Feld, Yuxian Huang, Jose A Carrion, Teresa Broquetas, Qiankun Hu, Scott Fung, Fabrice Carrat, Fabien Zoulim, Bettina E Hansen, Qing Xie, Harry L A Janssen, Milan J Sonneveld. 2026-09-07. HBsAg decline and clearance with peg-IFN therapy added to nucleos(t)ide analogues: an individual participant data meta-analysis of prospective trials (PROSPER).. https://doi.org/10.1136/gutjnl-2025-336251

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans