Evidence map›Paper›PMID 32492150›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2020

Evaluation of 5-day In Vivo Rat Liver and Kidney With High-throughput Transcriptomics for Estimating Benchmark Doses of Apical Outcomes.

William M Gwinn, Scott S Auerbach, Fred Parham, Matthew D Stout, Suramya Waidyanatha, Esra Mutlu, Brad Collins, Richard S Paules, Bruce Alex Merrick, Stephen Ferguson and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
3.4field-weighted citation impact, top 5% of its field
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

44 citing papers in PubMed, 80 citations in OpenAlex.

  1. Review
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  7. Quantifying liver-toxic responses from dose-dependent chemical exposures using a rat genome-scale metabolic model.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  8. Review
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  11. Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025
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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

22 authors at 2 institutions in 1 country.

William M GwinnDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Scott S AuerbachDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Fred ParhamDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Matthew D StoutDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Suramya WaidyanathaDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Esra MutluDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Brad CollinsDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Richard S PaulesDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Bruce Alex MerrickDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Stephen FergusonDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Sreenivasa RamaiahgariDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
John R BucherDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Barney SparrowBattelle, West Jefferson, Ohio 43162.
Heather ToyBattelle, West Jefferson, Ohio 43162.
Jenni GorospeBattelle, West Jefferson, Ohio 43162.
Nick MacheskyBattelle, West Jefferson, Ohio 43162.
Ruchir R ShahSciome, Durham, North Carolina 27713.
Michele R Balik-MeisnerSciome, Durham, North Carolina 27713.
Deepak MavSciome, Durham, North Carolina 27713.
Dhiral P PhadkeSciome, Durham, North Carolina 27713.
Georgia RobertsDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
Michael J DeVitoDivision of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, North Carolina 27709.
National Institute of Environmental Health Sciences · USBattelle · US

Funding

Toxicological Assessments for the Division of the National Toxicology ProgramZICES103316 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WALKER, NIGEL J · 2020 to 2021
$18.5M
6 · The paper itself

Abstract

A 5-day in vivo rat model was evaluated as an approach to estimate chemical exposures that may pose minimal risk by comparing benchmark dose (BMD) values for transcriptional changes in the liver and kidney to BMD values for toxicological endpoints from traditional toxicity studies. Eighteen chemicals, most having been tested by the National Toxicology Program in 2-year bioassays, were evaluated. Some of these chemicals are potent hepatotoxicants (eg, DE71, PFOA, and furan) in rodents, some exhibit toxicity but have minimal hepatic effects (eg, acrylamide and α,β-thujone), and some exhibit little overt toxicity (eg, ginseng and milk thistle extract) based on traditional toxicological evaluations. Male Sprague Dawley rats were exposed once daily for 5 consecutive days by oral gavage to 8-10 dose levels for each chemical. Liver and kidney were collected 24 h after the final exposure and total RNA was assayed using high-throughput transcriptomics (HTT) with the rat S1500+ platform. HTT data were analyzed using BMD Express 2 to determine transcriptional gene set BMD values. BMDS was used to determine BMD values for histopathological effects from chronic or subchronic toxicity studies. For many of the chemicals, the lowest transcriptional BMDs from the 5-day assays were within a factor of 5 of the lowest histopathological BMDs from the toxicity studies. These data suggest that using HTT in a 5-day in vivo rat model provides reasonable estimates of BMD values for traditional apical endpoints. This approach may be useful to prioritize chemicals for further testing while providing actionable data in a timely and cost-effective manner.

Indexed as

TranscriptomeAnimalsHigh-Throughput Screening AssaysKidneyLiverMaleRatsRats, Sprague-DawleyToxicity Tests5-day HTT modelapical toxicitybenchmark dosehepatotoxicityhigh-throughput transcriptomics

Identifiers

PMID32492150
PMCPMC7416315
OpenAlexW3031166541

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.