Evidence map›Paper›PMID 31246107›Full record

ArticleEnvironmental health perspectives2019

Using Collaborative Cross Mouse Population to Fill Data Gaps in Risk Assessment: A Case Study of Population-Based Analysis of Toxicokinetics and Kidney Toxicodynamics of Tetrachloroethylene.

Yu-Syuan Luo, Joseph A Cichocki, Nan-Hung Hsieh, Lauren Lewis, Fred A Wright, David W Threadgill, Weihsueh A Chiu, Ivan Rusyn

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  4. 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
    Review
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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

8 authors at 2 institutions in 1 country.

Yu-Syuan Luo1 Department of Veterinary Integrative Biosciences, Texas A&M University , College Station , Texas, USA.
Joseph A Cichocki1 Department of Veterinary Integrative Biosciences, Texas A&M University , College Station , Texas, USA.
Nan-Hung Hsieh1 Department of Veterinary Integrative Biosciences, Texas A&M University , College Station , Texas, USA.
Lauren Lewis1 Department of Veterinary Integrative Biosciences, Texas A&M University , College Station , Texas, USA.
Fred A Wright2 Bioinformatics Research Center and Departments of Statistics and Biological Sciences, North Carolina State University , Raleigh, North Carolina, USA.
David W Threadgill3 Department of Molecular and Cellular Medicine, Texas A&M University , College Station , Texas, USA.
Weihsueh A Chiu1 Department of Veterinary Integrative Biosciences, Texas A&M University , College Station , Texas, USA.
Ivan Rusyn1 Department of Veterinary Integrative Biosciences, Texas A&M University , College Station , Texas, USA.
Texas A&M University · USNorth Carolina State University · 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 Efstratios Pistikopoulos · 2017 to 2026
$21.2M
Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Sakhila Banu · 2019 to 2026
$13.0M
Chromatin regions, genes and pathways that confer susceptibility to chemical-induced DNA damageR01ES029911 · NIEHS · TEXAS A&M AGRILIFE RESEARCH · PI RUSYN, IVAN, THREADGILL, DAVID W. · 2019 to 2023
$3.3M
NIEHS NIH HHS P42 ES005948NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

backgroundInterindividual variability in susceptibility remains poorly characterized for environmental chemicals such as tetrachloroethylene (PERC). Development of population-based experimental models provide a potential approach to fill this critical need in human health risk assessment.

objectivesIn this study, we aimed to better characterize the contribution of glutathione (GSH) conjugation to kidney toxicity of PERC and the degree of associated interindividual toxicokinetic (TK) and toxicodynamic (TD) variability by using the Collaborative Cross (CC) mouse population.

methodsMale mice from 45 strains were intragastrically dosed with PERC ([Formula: see text]) or vehicle (5% Alkamuls EL-620 in saline), and time-course samples were collected for up to 24 h. Population variability in TK of S-(1,2,2-trichlorovinyl)GSH (TCVG), S-(1,2,2-trichlorovinyl)-L-cysteine (TCVC), and N-acetyl-S-(1,2,2-trichlorovinyl)-L-cysteine (NAcTCVC) was quantified in serum, liver, and kidney, and analyzed using a toxicokinetic model. Effects of PERC on kidney weight, fatty acid metabolism-associated genes [ Acot1 (Acyl-CoA thioesterase 1), Fabp1 (fatty acid-binding protein 1), and Ehhadh (enoyl-coenzyme A, hydratase/3-hydroxyacyl coenzyme A dehydrogenase)], and a marker of proximal tubular injury [KIM-1 (kidney injury molecule-1)/Hepatitis A virus cellular receptor 1 ( Havcr1)] were evaluated. Finally, quantitative data on interstrain variability in both formation of GSH conjugation metabolites of PERC and its kidney effects was used to calculate adjustment factors for the interindividual variability in both TK and TD.

resultsMice treated with PERC had significantly lower kidney weight, higher kidney-to-body weight (BW) ratio, and higher expression of fatty acid metabolism-associated genes ( Acot1, Fabp1, and Ehhadh) and a marker of proximal tubular injury (KIM-1/ Havcr1). Liver levels of TCVG were significantly correlated with KIM-1/ Havcr1 in kidney, consistent with kidney injury being associated with GSH conjugation. We found that the default uncertainty factor for human variability may be marginally adequate to protect 95%, but not more, of the population for kidney toxicity mediated by PERC. DISCUSSION: Overall, this study demonstrates the utility of the CC mouse population in characterizing metabolism-toxicity interactions and quantifying interindividual variability. Further refinement of the characterization of interindividual variability can be accomplished by incorporating these data into in silico population models both for TK (such as a physiologically based pharmacokinetic model), as well as for toxicodynamic responses. https://doi.org/10.1289/EHP5105.

Indexed as

AnimalsCollaborative Cross MiceGlutathioneHepatitis A Virus Cellular Receptor 1KidneyKidney DiseasesLiverMaleRisk AssessmentSpecies SpecificityTetrachloroethyleneToxicokineticsGlutathioneHepatitis A Virus Cellular Receptor 1Tetrachloroethylene

Identifiers

PMID31246107
PMCPMC6792382
OpenAlexW2953922787

What Socratic 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 Socratic graph.