Evidence map›Paper›PMID 42731995›Full record

ReviewArchives of toxicology2026

In vitro approaches for modelling gut-liver crosstalk in drug-induced liver injury.

Ynske Janssen, Jian Jiang, Doris Vandeputte, Mathieu Vinken

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of toxicology, 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

4 authors.

Ynske JanssenDepartment of Pharmaceutical and Pharmacological Sciences, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.ORCID http://orcid.org/0009-0008-6394-3651
Jian JiangDepartment of Pharmaceutical and Pharmacological Sciences, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.ORCID http://orcid.org/0000-0003-0877-429X
Doris VandeputteAI Supported Modelling in Clinical Sciences Lab, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.ORCID http://orcid.org/0000-0003-3019-5585
Mathieu VinkenDepartment of Pharmaceutical and Pharmacological Sciences, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium. mvinken@vub.ac.be.ORCID http://orcid.org/0000-0001-5115-8893

Funding

Flemish Government Methusalem program
6 · The paper itself

Abstract

Drug-induced liver injury (DILI) remains a major challenge in drug development and clinical practice due to its limited predictability in current preclinical models. Increasing evidence indicates that the gut-liver axis, through bidirectional interactions between the gut and the liver, plays an important role in modulating drug metabolism and hepatotoxicity. Nevertheless, the exact role of our gut, its microbiota and microbiota-derived metabolites in the manifestation of DILI remains poorly understood, highlighting the need for more human-relevant in vitro models taking along gut-liver interactions. To address this need, this review paper aimed to map the current landscape of in vitro gut-liver models and evaluate their potential applicability for future DILI research. A literature screening using the PubMed database identified 95 articles published on this subject between 2000 and 2026. The in vitro models were categorized into 5 groups, including monocultures, Transwell

Indexed as

Drug-induced liver injuryGut-liver-axisGut microbiotaIn vitro

Identifiers

What OpenQuestion 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 OpenQuestion graph.