Evidence map›Paper›PMID 29857080›Full record

ArticleToxicology and applied pharmacology2018

Incorporation of the glutathione conjugation pathway in an updated physiologically-based pharmacokinetic model for perchloroethylene in mice.

Chimeddulam Dalaijamts, Joseph A Cichocki, Yu-Syuan Luo, Ivan Rusyn, Weihsueh A Chiu

Open access · greenAbstract readComparative Study
In one paragraph

Article in Toxicology and applied pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Chimeddulam DalaijamtsDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
Joseph A CichockiDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
Yu-Syuan LuoDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
Ivan RusynDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
Weihsueh A ChiuDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA. Electronic address: WChiu@cvm.tamu.edu.
Texas A&M 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 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

backgroundPerchloroethylene (perc) induced target organ toxicity has been associated with tissue-specific metabolic pathways. Previous physiologically-based pharmacokinetic (PBPK) modeling of perc accurately predicted oxidative metabolites but suggested the need to better characterize glutathione (GSH) conjugation as well as toxicokinetic uncertainty and variability.

objectivesWe updated the previously published "harmonized" perc PBPK model in mice to better characterize GSH conjugation metabolism as well as the uncertainty and variability of perc toxicokinetics.

methodsThe updated PBPK model includes expanded models for perc and its oxidative metabolite trichloroacetic acid (TCA), and physiologically-based sub-models for conjugative metabolites. Previously compiled mouse kinetic data in B6C3F1 and Swiss-Webster mice were augmented to include data from a recent study in male C57BL/6J mice that measured perc and metabolites in serum and multiple tissues. Hierarchical Bayesian population analysis using Markov chain Monte Carlo was conducted to characterize uncertainty and inter-strain variability in perc metabolism.

resultsThe updated model fit the data as well or better than the previously published "harmonized" PBPK model. Tissue dosimetry for both oxidative and conjugative metabolites was successfully predicted across the three strains of mice, with estimated residuals errors of 2-fold for majority of data. Inter-strain variability across three strains was evident for oxidative metabolism; GSH conjugation data were only available for one strain.

conclusionsThis updated PBPK model fills a critical data gap in quantitative risk assessment by predicting the internal dosimetry of perc and its oxidative and GSH conjugation metabolites and lays the groundwork for future studies to better characterize toxicokinetic variability.

Indexed as

Models, BiologicalAnimalsBayes TheoremEnvironmental PollutantsGlutathioneMarkov ChainsMetabolic Detoxication, Phase IIMice, Inbred C57BLMonte Carlo MethodOxidation-ReductionRisk AssessmentSpecies SpecificityTetrachloroethyleneTissue DistributionToxicokineticsEnvironmental PollutantsGlutathioneTetrachloroethyleneBayesian analysisGlutathione conjugationOxidative metabolismPhysiologically based pharmacokinetic (PBPK) modelRisk assessmentTetrachloroethylene

Identifiers

PMID29857080
PMCPMC6051410
OpenAlexW2806027518

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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.