Evidence map›Paper›PMID 28973375›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2017

Editor's Highlight: Comparative Dose-Response Analysis of Liver and Kidney Transcriptomic Effects of Trichloroethylene and Tetrachloroethylene in B6C3F1 Mouse.

Yi-Hui Zhou, Joseph A Cichocki, Valerie Y Soldatow, Elizabeth H Scholl, Paul J Gallins, Dereje Jima, Hong-Sik Yoo, Weihsueh A Chiu, Fred A Wright, Ivan Rusyn

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Editorial:Frontiers in toxicology · 2023
    Article
  3. A Rat Liver Transcriptomic Point of Departure Predicts a Prospective Liver or Non-liver Apical Point of Departure.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. Mechanisms of Environmental Contributions to Fatty Liver Disease.Current environmental health reports · 2019
    Review
  8. Article
  9. Review
  10. Article
  11. Population-based dose-response analysis of liver transcriptional response to trichloroethylene in mouse.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Article
  12. Bridging the Data Gap FromFrontiers in public health · 2018
    Review
  13. 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

10 authors at 3 institutions in 1 country.

Yi-Hui ZhouDepartment of Biological Sciences.
Joseph A CichockiDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas.
Valerie Y SoldatowDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina.
Elizabeth H SchollBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina.
Paul J GallinsBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina.
Dereje JimaBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina.
Hong-Sik YooDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina.
Weihsueh A ChiuDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas.
Fred A WrightDepartment of Biological Sciences.
Ivan RusynDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas.
North Carolina State University · USTexas A&M University · USUniversity of North Carolina at Chapel Hill · US

Funding

STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Nonalcoholic steatohepatitis as a potential contributor to individual susceptibility to tetrachloroethylene-associated toxicityF32ES026005 · NIEHS · TEXAS A&M UNIVERSITY · PI CICHOCKI, JOSEPH · 2015 to 2016
$88k
NIEHS NIH HHS F32 ES026005NIEHS NIH HHS P42 ES005948NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

Trichloroethylene (TCE) and tetrachloroethylene (PCE) are ubiquitous environmental contaminants and occupational health hazards. Recent health assessments of these agents identified several critical data gaps, including lack of comparative analysis of their effects. This study examined liver and kidney effects of TCE and PCE in a dose-response study design. Equimolar doses of TCE (24, 80, 240, and 800 mg/kg) or PCE (30, 100, 300, and 1000 mg/kg) were administered by gavage in aqueous vehicle to male B6C3F1/J mice. Tissues were collected 24 h after exposure. Trichloroacetic acid (TCA), a major oxidative metabolite of both compounds, was measured and RNA sequencing was performed. PCE had a stronger effect on liver and kidney transcriptomes, as well as greater concentrations of TCA. Most dose-responsive pathways were common among chemicals/tissues, with the strongest effect on peroxisomal β-oxidation. Effects on liver and kidney mitochondria-related pathways were notably unique to PCE. We performed dose-response modeling of the transcriptomic data and compared the resulting points of departure (PODs) to those for apical endpoints derived from long-term studies with these chemicals in rats, mice, and humans, converting to human equivalent doses using tissue-specific dosimetry models. Tissue-specific acute transcriptional effects of TCE and PCE occurred at human equivalent doses comparable to those for apical effects. These data are relevant for human health assessments of TCE and PCE as they provide data for dose-response analysis of the toxicity mechanisms. Additionally, they provide further evidence that transcriptomic data can be useful surrogates for in vivo PODs, especially when toxicokinetic differences are taken into account.

Indexed as

TranscriptomeAnimalsDose-Response Relationship, DrugEnvironmental PollutantsGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksKidneyLiverMaleMiceRisk AssessmentSequence Analysis, RNATetrachloroethyleneTrichloroethyleneEnvironmental PollutantsTetrachloroethyleneTrichloroethyleneagentsdose-responsekidneylivermethodsrisk assessmentsystems toxicologytoxicogenomicsvolatile organic compounds

Identifiers

PMID28973375
PMCPMC5837274
OpenAlexW2746996223

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.