Evidence map›Paper›PMID 41143686›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2026

Comparison of physiologically based pharmacokinetic modeling platforms for developmental neurotoxicity in vitro to in vivo extrapolation.

Anna Kreutz, Xiaoqing Chang, Michael Lawless, Susana Proença, Stephan Schaller, Nicole Kleinstreuer, Helena T Hogberg

Abstract readComparative Study
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2026. 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. Article
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.

Anna KreutzInotiv, RTP, Morrisville, NC 27560, United States.ORCID 0000-0002-7787-0683
Xiaoqing ChangInotiv, RTP, Morrisville, NC 27560, United States.ORCID 0000-0003-0752-1848
Michael LawlessSimulations Plus, Lancaster, CA 42505, United States.
Susana ProençaESQlabsGmbH, Saterland 26683, Germany.ORCID 0000-0003-1544-4686
Stephan SchallerESQlabsGmbH, Saterland 26683, Germany.ORCID 0000-0003-1046-7651
Nicole KleinstreuerNIH/NIEHS/DTT/NICEATM, RTP, NC 27560, United States.ORCID 0000-0002-7914-3682
Helena T HogbergNIH/NIEHS/DTT/NICEATM, RTP, NC 27560, United States.ORCID 0000-0001-8034-6818

Funding

Intramural Research Program ES# 103386NIEHS NIH HHS HHSN273201500010CNIH HHS HHSN273201500010C
6 · The paper itself

Abstract

An extensive battery of 17 in vitro assays has been developed for assessing developmental neurotoxicity (DNT), with the aim of replacing or supplementing traditional in vivo guideline studies for risk assessment, as these mechanistic assays provide advantages over costly, lengthy in vivo studies. However, 1 major challenge in employing in vitro assays is the translation of in vitro bioactive concentrations into in vivo doses that can be compared with human exposures. This study describes an in vitro to in vivo extrapolation (IVIVE) approach to derive human-relevant administered equivalent doses based on chemical partitioning into DNT target organs during the critical period of brain development. We used data from chemicals previously found to elicit bioactivity in a subset (7 of 17) of the in vitro DNT battery assays conducted at the US Environmental Protection Agency. Three physiologically based pharmacokinetic modeling platforms were evaluated for their suitability for this DNT-IVIVE approach. Chemical predictions for administered equivalent doses were compared against in vivo effect levels, where available, and found to be within 3-fold for 78% of chemicals. To provide metrics for risk assessment considerations, administered equivalent doses were compared with predicted human exposures. Overall, this DNT-IVIVE approach was found to be relatively transferable among modeling platforms, albeit with varying limitations and considerations that should be taken into account for specific contexts of use.

Indexed as

BrainModels, BiologicalNeurotoxicity SyndromesAnimalsDose-Response Relationship, DrugHumansRisk AssessmentToxicity Testsdevelopmental neurotoxicityin vitro to in vivo extrapolationnew approach methodsphysiologically based pharmacokinetic modelingrisk assessment

Identifiers

PMID41143686
PMCPMC13397022

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Registered trials

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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.