Evidence map›Paper›PMID 32421774›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2020

Physiologically Based Pharmacokinetic Modeling in Risk Assessment: Case Study With Pyrethroids.

Pankajini Mallick, Gina Song, Alina Y Efremenko, Salil N Pendse, Moire R Creek, Thomas G Osimitz, Ronald N Hines, Paul Hinderliter, Harvey J Clewell, Brian G Lake and 2 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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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

12 authors at 5 institutions in 2 countries.

Pankajini MallickScitoVation, LLC, Durham, North Carolina 27713.
Gina SongScitoVation, LLC, Durham, North Carolina 27713.
Alina Y EfremenkoScitoVation, LLC, Durham, North Carolina 27713.
Salil N PendseScitoVation, LLC, Durham, North Carolina 27713.
Moire R CreekMoire Creek Toxicology Consulting Services, Lincoln, California 95648.
Thomas G OsimitzScience Strategies, LLC, Charlottesville, Virginia 22902.
Ronald N HinesUS EPA, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina 27709.
Paul HinderliterSyngenta, Greensboro, North Carolina 27409.
Harvey J ClewellRamboll, Research Triangle Park, North Carolina 27709.
Brian G LakeFaculty of Health and Medical Sciences, University of Surrey, Surrey GU2 7XH, UK.
Miyoung YoonScitoVation, LLC, Durham, North Carolina 27713.
Marjory MoreauScitoVation, LLC, Durham, North Carolina 27713.
Environmental Protection Agency · USResearch Triangle Park Foundation · USSciTech Strategies (United States) · USSyngenta (United States) · USUniversity of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of potentially sensitive populations is an important application of risk assessment. To address the concern for age-related sensitivity to pyrethroid insecticides, life-stage physiologically based pharmacokinetic (PBPK) modeling supported by in vitro to in vivo extrapolation was conducted to predict age-dependent changes in target tissue exposure to 8 pyrethroids. The purpose of this age-dependent dosimetry was to calculate a Data-derived Extrapolation Factor (DDEF) to address age-related pharmacokinetic differences for pyrethroids in humans. We developed a generic human PBPK model for pyrethroids based on our previously published rat model that was developed with in vivo rat data. The results demonstrated that the age-related differences in internal exposure to pyrethroids in the brain are largely determined by the differences in metabolic capacity and in physiology for pyrethroids between children and adults. The most important conclusion from our research is that, given an identical external exposure, the internal (target tissue) concentration is equal or lower in children than in adults in response to the same level of exposure to a pyrethroid. Our results show that, based on the use of the life-stage PBPK models with 8 pyrethroids, DDEF values are essentially close to 1, resulting in a DDEF for age-related pharmacokinetic differences of 1. For risk assessment purposes, this indicates that no additional adjustment factor is necessary to account for age-related pharmacokinetic differences for these pyrethroids.

Indexed as

Age FactorsPyrethrinsRisk AssessmentAnimalsHumansModels, BiologicalRatsPyrethrinsIVIVEPBPK modelingpyrethroidsrisk assessment

Identifiers

PMID32421774
PMCPMC7416317
OpenAlexW3027544756

What OpenQuestion holds

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LicenceCC BY-NC
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.