2023
DOI: 10.3389/fphar.2023.1136174
|View full text |Cite
|
Sign up to set email alerts
|

Prediction of in vivo prenatal chlorpyrifos exposure leading to developmental neurotoxicity in humans based on in vitro toxicity data by quantitative in vitro–in vivo extrapolation

Abstract: Introduction: Epidemiological studies in children suggested that in utero exposure to chlorpyrifos (CPF), an organophosphate insecticide, may cause developmental neurotoxicity (DNT). We applied quantitative in vitro–in vivo extrapolation (QIVIVE) based on in vitro concentration and non-choline esterase-dependent effects data combined with Benchmark dose (BMD) modelling to predict oral maternal CPF exposure during pregnancy leading to fetal brain effect concentration. By comparing the results with data from epi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 55 publications
0
1
0
Order By: Relevance
“…However, there is a tremendous dearth of relevant data on human exposure and DNT effects, while in vivo rodent data is available. Therefore, correlating data from rodent cells with rodent in vivo data can act as a bridge to extrapolate data on human cells to the human situation (Maass et al, 2023;Algharably et al, 2023). Nevertheless, models need to be characterized based on maturation as a function of Pamela Lein, University of California Davis, gave practical examples of how in vitro and epidemiological data can inform AOPs.…”
Section: New Concepts and Test Strategiesmentioning
confidence: 99%
“…However, there is a tremendous dearth of relevant data on human exposure and DNT effects, while in vivo rodent data is available. Therefore, correlating data from rodent cells with rodent in vivo data can act as a bridge to extrapolate data on human cells to the human situation (Maass et al, 2023;Algharably et al, 2023). Nevertheless, models need to be characterized based on maturation as a function of Pamela Lein, University of California Davis, gave practical examples of how in vitro and epidemiological data can inform AOPs.…”
Section: New Concepts and Test Strategiesmentioning
confidence: 99%