Evidence map›Paper›PMID 40035711›Full record

ArticleEmerging microbes & infections2025

Mechanisms underlying delayed loss of HBeAg and HBV DNA following HBsAg seroclearance in PEG-IFNα treated patients of chronic hepatitis B.

Bei Jiang, Guiwen Guan, Kaitao Zhao, Zhiqiang Gu, Lin Wang, Weilin Gu, Minghui Li, Yuchen Xia, Xiangmei Chen, Yifei Guo and 4 more

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. [Chinese expert consensus on clinical practice of chronic hepatitis B functional (clinical) cure].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Bei JiangDepartment of Microbiology &Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China.
Guiwen GuanDepartment of Microbiology &Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China.
Kaitao ZhaoState Key Laboratory of Virology and Hubei Province Key Laboratory of Allergy and Immunology, Institute of Medical Virology, TaiKang Medical School, Wuhan University, Wuhan, People's Republic of China.
Zhiqiang GuDepartment of Microbiology &Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China.
Lin WangDepartment of Microbiology &Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China.
Weilin GuDepartment of Microbiology &Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China.
Minghui LiDepartment of Microbiology &Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China.
Yuchen XiaState Key Laboratory of Virology and Hubei Province Key Laboratory of Allergy and Immunology, Institute of Medical Virology, TaiKang Medical School, Wuhan University, Wuhan, People's Republic of China.ORCID 0000-0001-8460-3893
Xiangmei ChenDepartment of Microbiology &Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China.
Yifei GuoDepartment of Infectious Diseases, Huashan Hospital and Key Laboratory of Medical Molecular Virology (MOH & MOE), Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Jiming ZhangDepartment of Infectious Diseases, Huashan Hospital and Key Laboratory of Medical Molecular Virology (MOH & MOE), Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Zhenhuan CaoThe Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, People's Republic of China.
Man-Fung YuenDepartment of Medicine and State Key Laboratory of Liver Research, School of Clinical Medicine, Queen Mary Hospital, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Fengmin LuDepartment of Microbiology &Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China.ORCID 0000-0002-1832-3209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsA notable proportion of CHB patients undergoing PEG-IFNα based therapy experience lagged serum HBeAg and/or HBV DNA disappearance in patients achieving HBsAg loss. In this study, we explored the molecular mechanisms behind this clinical phenomenon, offering novel insights into the sustainability of chronic HBV infection.

methodsTwo independent clinical cohorts were enrolled to validate this phenomenon. Then comprehensive analysis was performed using public datasets, coupled with a series of molecular biology experiments.

resultsApproximately 17-20% CHB patients underwent PEG-IFNα based therapy experienced seroclearance of HBsAg, while serum HBeAg and/or HBV DNA remained positive. These patients are more prone to serum HBsAg reappearance compared to those achieving complete virological response. Analysis of public datasets revealed that compared to the PC/BCP, the SP1/SP2 promoter displayed more pronounced inhibitory epigenetic modifications in HBeAg-negative patients and SP1/SP2 in-frame mutation peaked in immune active patients.

conclusionThis study elucidates that under IFNα treatment and low viral load, transcriptional suppression of SP1/SP2 promoters through mutations and/or epigenetic changes would favour the maintenance of sustain chronic HBV infection, via enhancing the transcription activity of BCP to promote cccDNA replenishment. IMPACT AND IMPLICATIONS: In clinical practice with IFNα antiviral treatment for CHB patients, a "paradoxical" phenomenon is observed where serum HBsAg disappears while HBV DNA or/and HBeAg remains at low positive levels, with delayed disappearance. Our study confirms this clinical phenomenon using two independent clinical cohorts and explores the potential mechanisms behind the persistence of chronic HBV infection under IFNα treatment and low viral load. Transcriptional suppression of SP1/SP2 promoters through mutations and/or epigenetic changes supports the maintenance of chronic HBV infection by enhancing the transcriptional activity of the BCP, which in turn promotes cccDNA replenishment. HighlightsApproximately 20% of patients with CHB who have just achieved HBsAg loss under IFNα treatment show positive serum HBV DNA and/or HBeAg.During disease progression, in frame indel mutations accumulate in the HBV genome's SP1 and SP2 promoters, with epigenetic modifications contributing to their suppression.In frame indel mutations in the HBV genome's SP1 and SP2 promoters inhibit the transcription of HBV S mRNA and promote the transcription of 3.5 kb HBV RNA.The loss of L-HBs and envelop proteins leads to an increase in intracellular cccDNA, promoting the maintenance of chronic infection.

Indexed as

DNA, ViralHepatitis B, ChronicHepatitis B e AntigensHepatitis B virusInterferon-alphaPolyethylene GlycolsAdultAnimalsCohort StudiesDatasets as TopicEpigenesis, GeneticFemaleHumansINDEL MutationMaleMiceDNA, ViralHepatitis B e AntigensInterferon-alphaPolyethylene GlycolsSP1 protein, humanSp1 Transcription FactorSP2 protein, humanSp2 Transcription FactorHepatitis B surface antigen seroclearanceHepatitis B virusPEGylated interferon alphaPres1and preS2 promoters

Identifiers

PMID40035711
PMCPMC11980219

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.