Evidence map›Paper›PMID 42217829›Full record

ArticleVirus research2026

Clinical significance and mutation analysis of HBsAg and Anti-HBs coexistence in Chronic Hepatitis B.

Sihang Zhang, Xin Lai, Haimei Dai, Xiao Li, Xingtong Li, Fengwei Liu, Taicheng Zhou, Jia Wei

Abstract read
In one paragraph

Article in Virus research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Sihang ZhangKunming Medical University, Kunming, Yunnan, China; Central Laboratory, Affiliated Hospital of Yunnan University, Kunming, Yunnan, China.
Xin LaiCentral Laboratory, Affiliated Hospital of Yunnan University, Kunming, Yunnan, China.
Haimei DaiCentral Laboratory, Affiliated Hospital of Yunnan University, Kunming, Yunnan, China.
Xiao LiCentral Laboratory, Affiliated Hospital of Yunnan University, Kunming, Yunnan, China.
Xingtong LiCentral Laboratory, Affiliated Hospital of Yunnan University, Kunming, Yunnan, China.
Fengwei LiuCentral Laboratory, Affiliated Hospital of Yunnan University, Kunming, Yunnan, China.
Taicheng ZhouCentral Laboratory, Affiliated Hospital of Yunnan University, Kunming, Yunnan, China. Electronic address: zhoutc@ynshhyy.com.
Jia WeiKunming Medical University, Kunming, Yunnan, China; Central Laboratory, Affiliated Hospital of Yunnan University, Kunming, Yunnan, China. Electronic address: weijia19631225@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coexistence of hepatitis B surface antigen (HBsAg) and antibodies to HBsAg (anti-HBs) represents an atypical serological profile in chronic hepatitis B (CHB). The clinical significance and molecular characteristics of this double-positive phenomenon remain unclear. This study characterized the clinical and virological features of CHB patients with coexisting HBsAg and anti-HBs and assessed associations between them and key HBV mutations, specifically nt. T531C and nt. A1762T/G1764A double nucleotide substitution.

methodsA retrospective analysis was performed on 955 chronic HBV-infected patients treated at a provincial hospital in Yunnan, China, between February 2017 and November 2017. Patients were categorized as double-positive group (HBsAg+/anti-HBs+, n = 250) and single-positive group (HBsAg+/anti-HBs-, n = 705) based on serological profiles. Demographic, clinical, and biochemical data were collected. HBV DNA from patient sera was analyzed by PCR amplification and Sanger sequencing to evaluate mutation patterns. Functional effects of key mutations were assessed by transfection of wild-type and mutant HBV plasmids into HepG2 and HepaRG cells.

resultsDP patients exhibited higher HBV DNA levels (56.8% vs 36.5% with DNA >2 log IU/mL, p < 0.001) and elevated ALT, AST, DBIL, and AFP (all p < 0.01), indicating enhanced viral replication and liver inflammation. Combined mutations at nt. T531C(resulting in the I126T in the S region) and nt. A1762T/G1764A were significantly enriched in DP patients (p < 0.001).The proportion of patients with HBsAg >100 IU/mL was significantly lower in the DP group than in the SP group(p < 0.05). Functional assays revealed cell-type-specific effects: In HepG2 cells, BCP double and triple mutations significantly suppressed HBsAg secretion (p < 0.0001), while T531C and BCP double mutations reduced HBeAg levels; Notably, all mutant constructs demonstrated enhanced HBV DNA levels (p < 0.01). In HepaRG cells, T531C significantly upregulated HBsAg secretion (p < 0.01) and HBV DNA levels (p < 0.01), whereas BCP mutations suppressed HBsAg (p < 0.001) and showed no effect on extracellular HBV DNA levels. These mutations were independent of HBeAg status.

conclusionsThe coexistence of HBsAg and anti-HBs in chronic hepatitis B is associated with enhanced viral replicative activity, increased liver inflammation, and a distinct mutation pattern characterized by the co-occurrence of nt. T531C and nt. A1762T/G1764A substitutions. T531C was associated with increased extracellular HBV DNA in a cell-type-dependent manner and showed variable effects on HBsAg secretion, suggesting a potential role in immune escape and viral persistence.

Indexed as

Hepatitis B AntibodiesHepatitis B, ChronicHepatitis B Surface AntigensHepatitis B virusMutationAdultChinaDNA, ViralFemaleHep G2 CellsHumansMaleMiddle AgedRetrospective StudiesDNA, ViralHepatitis B AntibodiesHepatitis B Surface AntigensChronic hepatitis BHBsAg/anti-HBs coexistenceHBV mutationsNt. A1762T/G1764ASerological profile

Identifiers

PMID42217829
PMCPMC13253202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.