Evidence map›Paper›PMID 41810427›Full record

ArticleJHEP reports : innovation in hepatology2026

Spatial transcriptional profiling of CHB liver biopsies reveals an undetected population of zonally biased HBV-integrated cells.

Sangeetha Mahadevan, Ricardo Ramirez, Hatef Mehrabian, Christina Moon, Apoorva Mohan, Edith Vaquero, Rosanna Win, Subhra Chaudhuri, Hsiu-Chun Chuang, Kai-Hui Sun and 7 more

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Sangeetha MahadevanResearch Pathology, Gilead Sciences Inc, Foster City, CA, USA.
Ricardo RamirezResearch Data Sciences, Gilead Sciences Inc, Foster City, CA, USA.
Hatef MehrabianResearch Pathology, Gilead Sciences Inc, Foster City, CA, USA.
Christina MoonResearch Pathology, Gilead Sciences Inc, Foster City, CA, USA.
Apoorva MohanResearch Pathology, Gilead Sciences Inc, Foster City, CA, USA.
Edith VaqueroResearch Pathology, Gilead Sciences Inc, Foster City, CA, USA.
Rosanna WinResearch Pathology, Gilead Sciences Inc, Foster City, CA, USA.
Subhra ChaudhuriResearch Data Sciences, Gilead Sciences Inc, Foster City, CA, USA.
Hsiu-Chun ChuangResearch Data Sciences, Gilead Sciences Inc, Foster City, CA, USA.
Kai-Hui SunResearch Data Sciences, Gilead Sciences Inc, Foster City, CA, USA.
Abhishek AggarwalResearch Pathology, Gilead Sciences Inc, Foster City, CA, USA.
Anjali RaoResearch Data Sciences, Gilead Sciences Inc, Foster City, CA, USA.
Li LiResearch Data Sciences, Gilead Sciences Inc, Foster City, CA, USA.
Simon P FletcherDiscovery Virology, Gilead Sciences Inc, Foster City, CA, USA.
Scott BalsitisDiscovery Virology, Gilead Sciences Inc, Foster City, CA, USA.
Lauri DiehlResearch Pathology, Gilead Sciences Inc, Foster City, CA, USA.
Meghan M HoldorfDiscovery Virology, Gilead Sciences Inc, Foster City, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: HBV covalently closed circular DNA (cccDNA) and HBV-integrated DNA (iDNA) are features of chronic HBV (CHB). Elimination of both cell populations is likely to be required for functional cure. RNA-based spatial methods, chromogenic Methods: Modified Visium Spatial Transcriptomics (ST) and Single Nuclei RNA sequencing (snRNA-Seq) were performed on four commercial HBV Results: The experimental workflow detected HBV RNA and DNA, alongside the human transcriptome. We identified an undescribed population of iDNA cells, which are HBsAg mIF Conclusions: Our findings indicate the presence of a previously undescribed population of zonally enriched HBV-integrated hepatocytes that are not detectable by protein-based methods. Intrahepatic viral burden estimates by RNA-based methods were consistently higher than protein-based estimates in all CHB samples profiled. Impact and implications: This study addresses crucial gaps in understanding HBV infection heterogeneity, zonal distribution, and the interplay between viral RNA, protein expression, and HBV integration events. Protein-based measures of intrahepatic HBV have been recognized as incomplete indicators of HBV burden. Accurate characterization of the viral landscape is essential for developing safe and efficacious therapies aimed at achieving a functional cure. Using RNA-based approaches, we uncovered a hidden HBV burden, which was consistently higher compared with protein-based estimates and was predominantly driven by HBV iDNA. Moreover, we identified two spatially and phenotypically distinct iDNA hepatocyte populations, raising new questions about mutational load and hepatocellular carcinoma risk in regions previously overlooked. Access to RNA-based methods that capture the full extent of HBV burden within the liver is vital for advancing fundamental research, improving disease models, and guiding curative therapies. Clinical Trials registration: The study is registered under GS-US-174-0149.

Indexed as

Chronic HBVHBVHBV integrationMultiplex immunofluorescenceSpatial transcriptomicsZonation

Identifiers

PMID41810427
PMCPMC12969680

What Socratic 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 Socratic graph.