Evidence map›Paper›PMID 24586336›Full record

ArticlePloS one2014

A novel toxicokinetic modeling of cypermethrin and permethrin and their metabolites in humans for dose reconstruction from biomarker data.

Jonathan Côté, Yvette Bonvalot, Gaétan Carrier, Caroline Lapointe, Uwe Fuhr, Dorota Tomalik-Scharte, Bertil Wachall, Michèle Bouchard

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03159013 (La Lambda-cyhalothrine Comme Insecticide privilégié en Milieu Agricole), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.6field-weighted citation impact, top 5% 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.

NCT03159013 nacompletednot on this mapstarted 2016, after this paper: background citation

La Lambda-cyhalothrine Comme Insecticide privilégié en Milieu Agricole: étude de la toxicocinétique de Biomarqueurs Pour le Suivi de l'Exposition Des Travailleurs

TypeinterventionalSponsorUniversité de MontréalRan2016 to 2017Enrolled7ConditionsExposure to PollutionArmsExposure
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 37 citations in OpenAlex.

  1. The association between prenatal pyrethroids exposure and children's health - current research.International journal of occupational medicine and environmental health · 2024
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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 4 institutions in 2 countries.

Jonathan CôtéDépartement de santé environnementale et santé au travail, Chaire d'analyse et de gestion des risques toxicologiques and Institut de recherche en santé publique de l'Université de Montréal (IRSPUM), Université de Montréal, Montreal, Quebec, Canada.
Yvette BonvalotEnvironmental Health Program, Health Canada, Longueuil, Quebec, Canada.
Gaétan CarrierDépartement de santé environnementale et santé au travail, Chaire d'analyse et de gestion des risques toxicologiques and Institut de recherche en santé publique de l'Université de Montréal (IRSPUM), Université de Montréal, Montreal, Quebec, Canada.
Caroline LapointeEnvironmental Health Program, Health Canada, Longueuil, Quebec, Canada.
Uwe FuhrDepartment of Pharmacology, University of Cologne, Clinical Pharmacology Unit, Köln, Germany.
Dorota Tomalik-ScharteDepartment of Pharmacology, University of Cologne, Clinical Pharmacology Unit, Köln, Germany.
Bertil WachallInfectopharm Arzneimittel und Consilium GmbH, Heppenheim, Germany.
Michèle BouchardDépartement de santé environnementale et santé au travail, Chaire d'analyse et de gestion des risques toxicologiques and Institut de recherche en santé publique de l'Université de Montréal (IRSPUM), Université de Montréal, Montreal, Quebec, Canada.
Université de Montréal · CAHealth Canada · CAUniversity of Cologne · DEInfectoPharm (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess exposure to pyrethroids in the general population, one of most widely used method nowadays consists of measuring urinary metabolites. Unfortunately, interpretation of data is limited by the unspecified relation between dose and levels in biological tissues and excreta. The objective of this study was to develop a common multi-compartment toxicokinetic model to predict the time courses of two mainly used pyrethroid pesticides, permethrin and cypermethrin, and their metabolites (cis-DCCA, trans-DCCA and 3-PBA) in the human body and in accessible biological matrices following different exposure scenarios. Toxicokinetics was described mathematically by systems of differential equations to yield the time courses of these pyrethroids and their metabolites in the different compartments. Unknown transfer rate values between compartments were determined from best fits to available human data on the urinary excretion time courses of metabolites following an oral and dermal exposure to cypermethrin in volunteers. Since values for these coefficients have not yet been determined, a mathematical routine was programmed in MathCad to establish the possible range of values on the basis of physiological and mathematical considerations. The best combination of parameter values was then selected using a statistic measure (reliability factor) along with a statistically acceptable range of values for each parameter. With this approach, simulations provided a close approximation to published time course data. This model allows to predict urinary time courses of trans-DCCA, cis-DCCA and 3-PBA, whatever the exposure route. It can also serve to reconstruct absorbed doses of permethrin or cypermethrin in the population using measured biomarker data.

Indexed as

BiomarkersHumansInsecticidesPermethrinPyrethrinsToxicokineticsBiomarkerscypermethrinInsecticidesPermethrinPyrethrins

Identifiers

PMID24586336
PMCPMC3935837
OpenAlexW2106465709

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.