Evidence map›Paper›PMID 42544817›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2026

Toward internal threshold for toxicological concern: in vitro hepatocyte metabolism testing of 207 chemicals using cryopreserved suspended hepatocytes for physiologically based pharmacokinetic modeling.

Corie A Ellison, Anne Marie Api, Richard A Becker, Sherry Black, Kaushal Joshi, Dan Selechnik

Abstract read
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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Corie A EllisonThe Procter and Gamble Company, Mason, OH 45040, United States.ORCID 0000-0002-1069-5139
Anne Marie ApiResearch Institute for Fragrance Materials, Woodcliff Lake, NJ 07677, United States.ORCID 0000-0002-8960-6521
Richard A BeckerAmerican Chemistry Council, Washington, DC 20002, United States.
Sherry BlackDiscovery Sciences, RTI International, Durham, NC 27709, United States.
Kaushal JoshiResearch Institute for Fragrance Materials, Woodcliff Lake, NJ 07677, United States.
Dan SelechnikResearch Institute for Fragrance Materials, Woodcliff Lake, NJ 07677, United States.

Funding

ACC LRI and RIFM
6 · The paper itself

Abstract

In vitro hepatic metabolic clearance data were generated for a diverse set of 207 chemicals to advance the collaborative initiative to establish an internal Threshold of Toxicological Concern (iTTC). The data reported herein are being used for chemical-specific physiologically based pharmacokinetic (PBPK) modeling to convert oral No Observable Adverse Effect Levels (NOAELs) into estimates of internal exposure. Hepatocyte assays were conducted at 2 concentrations (0.1 and 1 µM) using cryopreserved cells from multiple species, ensuring applicability to existing mammalian toxicity studies. The metabolic clearance measurements across chemicals varied significantly, ranging from 0 to 4,294 µl/min/106 cells at 0.1 µM and from 0 to 2,351 µl/min/106 cells at 1 µM. A substantial proportion of the chemicals (68% at 0.1 µM and 62% at 1 µM) exhibited clearance values below 30 µl/min/106 cells. Additionally, we observed a strong correlation (R = 0.8) between intrinsic clearance (CLint) values determined at the 2 concentrations. These data contribute to establishing robust iTTC values that can be utilized for: (i) extrapolating from an oral in vivo study to dermal and inhalation exposures, (ii) risk-based screening of aggregate exposures of a given substance from multiple routes of exposures, and (iii) risk-based screening of human biomonitoring results.

Indexed as

CryopreservationDose-Response Relationship, DrugHepatocytesAnimalsHumansNo-Observed-Adverse-Effect LevelToxicity Testsbiotransformationintrinsic clearancemetabolismPBPK modelingthreshold of toxicological concern

Identifiers

PMID42544817
PMCPMC13476076

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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.