Evidence map›Paper›PMID 41273685›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

3D Liver Models for Genotoxicity Testing.

Gillian E Conway, Ume-Kulsoom Shah, Michael J Burgum, Caitlin Maggs, Shareen H Doak, Gareth J Jenkins

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Article in Methods in molecular biology (Clifton, N.J.), 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

6 authors.

Gillian E ConwayIn Vitro Toxicology Group, Institute of Life Science, Swansea University Medical School, Swansea, Wales, UK.
Ume-Kulsoom ShahIn Vitro Toxicology Group, Institute of Life Science, Swansea University Medical School, Swansea, Wales, UK.
Michael J BurgumIn Vitro Toxicology Group, Institute of Life Science, Swansea University Medical School, Swansea, Wales, UK.
Caitlin MaggsIn Vitro Toxicology Group, Institute of Life Science, Swansea University Medical School, Swansea, Wales, UK.
Shareen H DoakIn Vitro Toxicology Group, Institute of Life Science, Swansea University Medical School, Swansea, Wales, UK.
Gareth J JenkinsIn Vitro Toxicology Group, Institute of Life Science, Swansea University Medical School, Swansea, Wales, UK. g.j.jenkins@swansea.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotoxicity testing is a vital aspect of the safety assessment of new products (e.g., pharmaceuticals, foodstuffs, industrial chemicals). The ability of an agent to induce DNA damage is linked to long-term cancer risk as DNA damage is known to drive genome instability and carcinogenesis.There is much focus these days on the 3Rs (replacement, reduction, and refinement of animal testing), and in vitro tests are being sought to replace animal approaches. These new approach methodologies (NAMs) include the use of 3D human tissue models. Liver 3D models are particularly valuable as liver enzyme metabolism is sometimes difficult to recapitulate in vitro, and 3D liver models are known to express liver-specific enzymes at higher levels than 2D liver cells. Hence, the 3D liver models are more representative of human physiology.We present here detailed methodologies using 3D liver cell models to study DNA damage induction, specifically using the well-regarded micronucleus approach. We offer insights into the methods used and adaptations for nanomaterial assessment and other modifications possible with these approaches.

Indexed as

Cell Culture Techniques, Three DimensionalLiverModels, BiologicalDNA DamageHepatocytesHumansMicronucleus TestsMutagenicity TestsMutagensMutagens3D modelsDNA damageLiver cellMicronucleusMutationNew approach methodologies

Identifiers

PMID41273685

What OpenQuestion holds

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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 OpenQuestion graph.