Evidence map›Paper›PMID 41545841›Full record

ArticleBMC pharmacology & toxicology2026

A human liver organoids-on-chip for the assessment of drug-induced liver injury.

Xiyue Chen, Fang Bao, Jiayue Liu, Yaqing Wang, Tingting Tao, Guixin Zhang, Jianhua Qin

Abstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2026. 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. Artificial Intelligence Across the Drug Development Lifecycle.Medical sciences (Basel, Switzerland) · 2026
    Review
  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

7 authors.

Xiyue Chen *Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
Fang Bao *University of Science and Technology of China, Hefei, 230026, China.
Jiayue LiuUniversity of Science and Technology of China, Hefei, 230026, China.
Yaqing WangUniversity of Science and Technology of China, Hefei, 230026, China.
Tingting TaoDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
Guixin ZhangDepartment of General Surgery, The Second Hospital of Dalian Medical University, Dalian, 116011, China.
Jianhua QinDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China. jhqin@dicp.ac.cn.

Funding

Dalian Science and technology Innovation Fund project 2024JJ11PT006Innovation Program of Science and Research from the DICP, CAS DICPI202435National Key R&D Program of China 2022YFA1104700, 2022YFA1205000, 2024YFA0919800National Natural Science Foundation of China 32171406,32201184Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0531000
6 · The paper itself

Abstract

backgroundDrug-induced liver injury (DILI) is a leading cause of liver disease. Current drug toxicology screening primarily relies on 2D cell cultures and animal models, which have limitations in predicting clinical hepatotoxicity, leading to the withdrawal of approved drugs, such as Troglitazone and Fialuridine. To address this, we developed a liver organoids-on-chip (LOoC) system that incorporates human liver progenitor cell-derived organoids and an endothelial barrier to create a biomimetic 3D liver model for the accurate prediction of human-relevant drug responses.

methodsThe LOoC platform was constructed using a customized KabellyInsert™ chip manufactured via injection molding with polycarbonate, featuring eight triple-unit inserts sealed with porous PET membranes to form hepatic and vascular compartments. Liver organoids derived from ethically sourced human liver progenitor cells. These organoids were embedded in the hepatic chamber while liver sinusoidal endothelial cells were seeded in the vascular channel, with dynamic flow generated by orbital shaking. Platform validation included immunofluorescence staining for hepatic markers (CYP3A4, CYP2C9, ALB), functional assessments of urea synthesis and albumin secretion via ELISA assays, and drug testing at clinical Cmax-based concentrations. Hepatotoxicity was evaluated using Hy’s Law criteria with ALT/AST/ALP/LDH measurements, while pharmacokinetic parameters were quantified through LC-MS/MS analysis of compartment-specific effluents.

resultsThe LOoC model demonstrated mature hepatic gene expression and enhanced function stability, including consistent albumin secretion and urea production over a 7-day culture period. For comprehensive hepatotoxicity assessment, we evaluated seven drugs with varying toxicity profiles (0–8 on a hepatotoxicity level scale), including the species-specific hepatotoxins Troglitazone and Fialuridine (FIAU), using human-relevant blood concentration gradients. The LOoC system achieved up to 93% accuracy in phenotypic toxicity classification and 100% accuracy in hepatotoxicity grading based on sensitivity assessments.

conclusionThis study established a robust liver organoid-on-chip (LOoC) platform by integrating functional human liver progenitor cell-derived organoids, a biomimetic endothelial barrier with a dynamic fluidic microenvironment. The LOoC simulated key pharmacokinetic parameters (e.g., The half-time and Km values of acetaminophen in LOoC are similar to human data) and identified species-specific hepatotoxicity (representative drugs: Troglitazone and FIAU). Through Cmax-based gradient dosing and Hy’s Law criteria, the platform demonstrated high sensitivity and accuracy in multiparameters hepatotoxicity assessment, supporting its utility for preclinical drug safety evaluation. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Chemical and Drug Induced Liver InjuryLab-On-A-Chip DevicesLiverOrganoidsHumansMicrophysiological SystemsDrug-induced liver injuryLiver organoidsOrganoids-on-chipOrgan-on-chip

Identifiers

PMID41545841
PMCPMC12895850

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.