Evidence map›Paper›PMID 40854116›Full record

ReviewToxicological sciences : an official journal of the Society of Toxicology2025

Navigating complexity in modern toxicology: the role of omics in short-term in vivo studies.

Constance A Mitchell, Leah Wehmas, David Rouquié, Florian Caiment, Richard A Currie, Christine E Crute

Abstract readReview
In one paragraph

Review in Toxicological sciences : an official journal of the Society of Toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Constance A MitchellHealth and Environmental Sciences Institute, Washington, DC 20005, United States.ORCID 0000-0003-1052-7087
Leah WehmasChemical Characterization and Exposure Division, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, United States.ORCID 0000-0003-1529-2387
David RouquiéToxicology Data Science, Bayer SAS Crop Science Division, Cedex, Sophia Antipolis 06906, France.
Florian CaimentDepartment of Translational Genomics, GROW Research Institute for Oncology and Reproduction, Maastricht University, 6229 ER Maastricht, The Netherlands.
Richard A CurrieJealott's Hill International Research Centre, Syngenta, Bracknell, Berkshire RG42 6EY, United Kingdom.ORCID 0000-0002-6528-3326
Christine E CruteHealth and Environmental Sciences Institute, Washington, DC 20005, United States.ORCID 0000-0003-4400-505X

Funding

Emerging Systems Toxicology for the Assessment of RiskHealth and Environmental Sciences Institute's
6 · The paper itself

Abstract

Toxicology is shifting toward predictive, mechanism-based approaches that support quicker, more human-relevant risk assessments and reduce reliance on animal testing. Central to this shift are short-term in vivo studies enriched with omics endpoints, which provide early molecular indicators of toxicity. These data enable the derivation of molecular points of departure and other biologically anchored metrics that can inform potency ranking, hazard identification, and risk assessment. This commentary summarizes insights from the 2025 Society of Toxicology session of the same name and highlights the importance of aligning technical advances with regulatory needs. Next-Generation Risk Assessment (NGRA) is a safety evaluation approach that incorporates emerging tools such as in vitro methods, computational models, and omics data to inform decision-making for human health and the environment, while aiming to reduce dependence on traditional animal testing. NGRA frameworks, while potentially generic in principle, must be tailored to the specific regulatory requirements and exposure contexts of different product sectors, including pharmaceuticals, industrial chemicals, agrochemicals, and cosmetics. Short-term mechanistic animal studies serve as a bridge between traditional long-term animal testing and new approach methodologies. From a technical standpoint, the generation, analysis, and interpretation of omics data have matured considerably, bringing regulatory acceptance within reach. Remaining challenges include standardizing bioinformatics pipelines, building confidence through validation against apical endpoints, and expanding training. Addressing these gaps through collaborative science and flexible regulatory frameworks will be key to realizing the full potential of omics-enabled hazard profiles to support NGRA.

Indexed as

GenomicsToxicity TestsToxicologyAnimalsAnimal Testing AlternativesHumansRisk Assessmentassessmenthazardmechanismsomics researchrisk assessmentsafety evaluation

Identifiers

PMID40854116
PMCPMC12599865

What OpenQuestion holds

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LicenceCC BY-NC
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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.