Evidence map›Paper›PMID 41074149›Full record

ArticleJournal of translational medicine2025

A single-cell digital PCR method tailored for quantification of HBV DNA positive cells in liver biopsy tissues.

Jingmei Li, Hui Li, Xin Zhang, Xueyan Liu, Zumi Zhou, Jia Wei, Rujuan Zhao, Tai-Cheng Zhou, Zijie Zhang, Chunmei Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Jingmei Li *Bio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, 650500, Yunnan, China.
Hui Li *Central Lab and Infectious Disease Department, The Affiliated Hospital of Yunnan University, Kunming, 650091, Yunnan, China.
Xin Zhang *Bio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, 650500, Yunnan, China.
Xueyan LiuBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, 650500, Yunnan, China.
Zumi ZhouYunnan Genvoo Biomedicals Ltd, Yunnan, 650031, China.
Jia WeiCentral Lab and Infectious Disease Department, The Affiliated Hospital of Yunnan University, Kunming, 650091, Yunnan, China.
Rujuan ZhaoCentral Lab and Infectious Disease Department, The Affiliated Hospital of Yunnan University, Kunming, 650091, Yunnan, China.
Tai-Cheng ZhouCentral Lab and Infectious Disease Department, The Affiliated Hospital of Yunnan University, Kunming, 650091, Yunnan, China. zhoutc@ynshhyy.com.
Zijie ZhangBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, 650500, Yunnan, China. zijiezhang@ynu.edu.cn.
Chunmei LiBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, 650500, Yunnan, China. licm89@126.com.ORCID 0000-0001-8227-9719

Funding

Applied Basic Research Key Project of Yunnan 202401BF070001-019Joint Fund to Promote Cross-Straits Scientific and Technological Cooperation 82060368Key Technologies Research and Development Program 2023YFC2307600Major Research Plan 32371000
6 · The paper itself

Abstract

backgroundAccurate quantification of hepatitis B virus (HBV) DNA in hepatocytes is essential for understanding the virus's biology and improving treatment strategies. Existing methods lack the resolution to assess infection heterogeneity at the single-cell level, which is critical for evaluating treatment efficacy and guiding personalized therapy.

methodsWe developed a single-cell infection detection PCR (scID-PCR) method for quantifying intrahepatic HBV-positive cells with single-cell resolution. scID-PCR was validated using HepG2.2.15 and Hep3B2.1-7 cell models to assess sensitivity, specificity, and reproducibility. As proof of concept, scID-PCR was applied to liver biopsy samples from five chronic hepatitis B (CHB) patients and one non-HBV-related hepatocellular carcinoma (HCC) patient.

resultsValidation demonstrated that scID-PCR was highly sensitive, specific, and reproducible. scID-PCR detected HBV-positive cells in all CHB patients, including those with undetectable serum HBV DNA levels after 48 weeks of antiviral therapy. No cccDNA-positive cells were identified in the HCC patient. The proportion of HBV-positive cells offering insights into infection status and identifying patients more likely to achieve a cure.

conclusionsThe scID-PCR platform offers a novel and powerful approach to quantify intrahepatic HBV-positive cells with single-cell resolution. This method complements traditional serological markers offering a more nuanced view of CHB infection dynamics and supporting personalized treatment strategies.

Indexed as

DNA, ViralHepatitis B virusLiverPolymerase Chain ReactionSingle-Cell AnalysisBiopsyCarcinoma, HepatocellularHepatitis B, ChronicHep G2 CellsHumansLiver NeoplasmsMaleReproducibility of ResultsDNA, ViralChronic hepatitis bCovalently closed circular DNADdPCRHepatitis b virusSingle-cell

Identifiers

PMID41074149
PMCPMC12512710

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Registered trials

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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.