Evidence map›Paper›PMID 31593217›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2020

Development and Application of a Life-Stage Physiologically Based Pharmacokinetic (PBPK) Model to the Assessment of Internal Dose of Pyrethroids in Humans.

Pankajini Mallick, Marjory Moreau, Gina Song, Alina Y Efremenko, Salil N Pendse, Moire R Creek, Thomas G Osimitz, Ronald N Hines, Paul Hinderliter, Harvey J Clewell and 2 more

Open access · bronzeAbstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.0field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 48 citations in OpenAlex.

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  11. Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling.Toxicological sciences : an official journal of the Society of Toxicology · 2023
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  13. Review
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  16. Physiologically Based Pharmacokinetic Modeling in Risk Assessment: Case Study With Pyrethroids.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    Article
  17. 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

12 authors at 6 institutions in 2 countries.

Pankajini MallickScitoVation, LLC, Research Triangle Park, North Carolina 27709.
Marjory MoreauScitoVation, LLC, Research Triangle Park, North Carolina 27709.
Gina SongScitoVation, LLC, Research Triangle Park, North Carolina 27709.
Alina Y EfremenkoScitoVation, LLC, Research Triangle Park, North Carolina 27709.
Salil N PendseScitoVation, LLC, Research Triangle Park, North Carolina 27709.
Moire R CreekMoire Creek Toxicology Consulting Services, Lincoln, California 95648.
Thomas G OsimitzScience Strategies, LLC, Charlottesville, Virginia 22902.
Ronald N HinesUS EPA, ORD, NHEERL, 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, UK.
Miyoung YoonScitoVation, LLC, Research Triangle Park, North Carolina 27709.
Triangle · USEnvironmental 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

To address concerns around age-related sensitivity to pyrethroids, a life-stage physiologically based pharmacokinetic (PBPK) model, supported by in vitro to in vivo extrapolation (IVIVE) was developed. The model was used to predict age-dependent changes in target tissue exposure of 8 pyrethroids; deltamethrin (DLM), cis-permethrin (CPM), trans-permethrin, esfenvalerate, cyphenothrin, cyhalothrin, cyfluthrin, and bifenthrin. A single model structure was used based on previous work in the rat. Intrinsic clearance (CLint) of each individual cytochrome P450 or carboxylesterase (CES) enzyme that are active for a given pyrethroid were measured in vitro, then biologically scaled to obtain in vivo age-specific total hepatic CLint. These IVIVE results indicate that, except for bifenthrin, CES enzymes are largely responsible for human hepatic metabolism (>50% contribution). Given the high efficiency and rapid maturation of CESs, clearance of the pyrethroids is very efficient across ages, leading to a blood flow-limited metabolism. Together with age-specific physiological parameters, in particular liver blood flow, the efficient metabolic clearance of pyrethroids across ages results in comparable to or even lower internal exposure in the target tissue (brain) in children than that in adults in response to the same level of exposure to a given pyrethroid (Cmax ratio in brain between 1- and 25-year old = 0.69, 0.93, and 0.94 for DLM, bifenthrin, and CPM, respectively). Our study demonstrated that a life-stage PBPK modeling approach, coupled with IVIVE, provides a robust framework for evaluating age-related differences in pharmacokinetics and internal target tissue exposure in humans for the pyrethroid class of chemicals.

Indexed as

Models, BiologicalCarboxylesteraseCytochrome P-450 Enzyme SystemDose-Response Relationship, DrugHumansKineticsLiverMicrosomes, LiverNitrilesPermethrinPharmacokineticsPyrethrinsbifenthrinCarboxylesterasecyfluthrincyhalothrincyphenothrinCytochrome P-450 Enzyme SystemfenvalerateNitrilesPermethrinPyrethrinsenzyme ontogenyIVIVEPBPK modelingpyrethroids

Identifiers

PMID31593217
PMCPMC6944222
OpenAlexW2979892379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.