Evidence map›Paper›PMID 40457700›Full record

ReviewPharmacology research & perspectives2025

Functional Liver Cell-Based Platforms in Biomedical Research.

Zohreh Hashemian, Sara Taleahmad, Bahare Shokouhian, Mustapha Najimi, Massoud Vosough

Abstract readReview
In one paragraph

Review in Pharmacology research & perspectives, 2025. 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

5 authors.

Zohreh HashemianDepartment of Regenerative Medicine, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Sara TaleahmadDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Bahare ShokouhianDepartment of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mustapha NajimiLaboratory of Pediatric Hepatology and Cell Therapy, Institute of Experimental and Clinical Research (IREC), UCLouvain, Brussels, Belgium.
Massoud VosoughDepartment of Regenerative Medicine, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.ORCID https://orcid.org/0000-0001-5924-4366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recapitulating in vivo conditions of metabolism remains a challenging subject in biomedical research such as ADME-Tox assays (absorption, distribution, metabolism, excretion, and toxicity). The advanced technologies using 3D co-culture methods enabled researchers to develop cell-cell and cell-extracellular matrix (ECM) interactions similar to the natural liver, resulting in the improvement of the metabolic performance of ex vivo cultured primary hepatocytes (PHs). Although PHs are the best candidates in cell-based drug screening methods, access to these cells is limited. The application of stem cell-derived hepatocyte-like cells (HLCs) could overcome these limitations in high-throughput assessments. However, the functional capacity of HLCs is not enough. Hepatoma cells could be reliable substitutes for PHs and HLCs; however, compared to PHs, their metabolic performance is low. Mimicking the complexity of the liver microenvironment using hepatoma cells and liver-specific stromal cells in a 3D culture condition represents an innovative, accessible, and scalable platform to accelerate drug development if the metabolic capacity of hepatoma cells is enhanced. This can reduce time, costs, and address the ethical concerns related to animal models and pluripotent stem cells. In this manuscript, we showed that mimicking the complexity of the liver microenvironment in a 3D co-culture condition with non-parenchymal cells and improving the metabolic performance of hepatoma cells represents an innovative and accessible platform to accelerate drug discovery and development.

Indexed as

Biomedical ResearchHepatocytesLiverAnimalsCarcinoma, HepatocellularCoculture TechniquesDrug Evaluation, PreclinicalHumansLiver Neoplasmsbiomedical researchdrug screening platformshepatocyteshepatoma cellsimproved metabolic performance

Identifiers

PMID40457700
PMCPMC12130281

What Socratic holds

Textmetadata
LicenceCC BY
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.