Evidence map›Paper›PMID 42252000›Full record

ReviewAntiviral research2026

Cell-based platforms for antiviral screening against hepatitis B virus: advantages, limitations, and future perspectives.

Taylor M Shue, Allan Henrique Depieri Cataneo, Antonis Athanasiadis, Christopher E Jones, Ype P de Jong, Amir Shlomai, Eleftherios Michailidis

Abstract readReview
In one paragraph

Review in Antiviral research, 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

7 authors.

Taylor M ShueCenter for ViroScience and Cure, Laboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Allan Henrique Depieri CataneoCenter for ViroScience and Cure, Laboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Antonis AthanasiadisCenter for ViroScience and Cure, Laboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Christopher E JonesCenter for ViroScience and Cure, Laboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Ype P de JongDivision of Gastroenterology and Hepatology, Weill Cornell Medicine, New York, NY, 10065, USA.
Amir ShlomaiDepartment of Medicine D, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel; The Felsenstein Medical Research Center and the Gray Faculty of Health & Medical Sciences, Tel Aviv University, Tel Aviv, Israel.
Eleftherios MichailidisCenter for ViroScience and Cure, Laboratory of Biochemical Pharmacology, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA. Electronic address: eleftherios.michailidis@emory.edu.

Funding

A proteomics atlas of HIV/HBV infections for curing HBVR01AI181682 · NIAID · EMORY UNIVERSITY · PI Eleftherios Michailidis · 2024 to 2026
$2.1M
Impact of HIV co-infections and comorbidities on circadian rhythm in the liverDP1DK139804 · NIDDK · EMORY UNIVERSITY · PI Eleftherios Michailidis · 2024 to 2026
$1.7M
Elucidating the host and viral determinants of treatment response in chronic hepatitis BR01AI190067 · NIAID · ROCKEFELLER UNIVERSITY · PI Ype Peter De Jong, Eleftherios Michailidis · 2026 to 2026
$863k
NIAID NIH HHS R01 AI181682NIAID NIH HHS R01 AI190067NIDDK NIH HHS DP1 DK139804
6 · The paper itself

Abstract

Hepatitis B virus (HBV) infection affects over 250 million people worldwide, resulting in 1.3 million deaths annually. While most healthy adults clear acute HBV infection, many children and immunocompromised adults develop chronic hepatitis B, leading to liver-related complications such as cirrhosis and hepatocellular carcinoma. Current treatments, including nucleos(t)ide analogs and pegylated interferon alpha, suppress viral replication but rarely achieve a functional cure. The development and optimization of robust in vitro systems is central to the discovery of effective antiviral compounds against HBV. In this review, we examine the main cell-based models used for HBV antiviral screening, highlighting their strengths and limitations in modeling viral replication and as platforms for antiviral compound testing. We discuss DNA- and RNA-based transfection systems as controllable tools to study specific stages of the HBV replication cycle, as well as stably transfected HBV-producing cell lines that enable reproducible compound screening. Infection-based models, including HepG2-NTCP and HepaRG cells, are evaluated for their ability to support viral entry and cccDNA formation, key features for assessing entry inhibitors and post-entry antivirals. We highlight primary human hepatocytes (PHH) and mouse-passaged PHH (mpPHH), which more closely recapitulate physiological hepatocyte biology but present challenges in scalability and variability. Finally, we explore emerging three-dimensional systems, such as spheroids and organoids, which aim to mimic the complex liver architecture and microenvironment. By comparing these platforms, this review provides a framework for selecting appropriate in vitro models for HBV antiviral compound discovery. Such a framework aims to accelerate progress towards a functional cure.

Indexed as

Antiviral AgentsHepatitis B virusAnimalsDrug Evaluation, PreclinicalHepatitis BHepatocytesHumansVirus ReplicationAntiviral AgentsAntiviralsDrug discoveryHepatitis B virusIn vitro models

Identifiers

PMID42252000
PMCPMC13561576

What Socratic holds

Textmetadata
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.