Developing a predictive model for blood-brain-barrier permeability to explore relevance of in vitro neurotoxicity data for in vivo risk assessment

This weak correlation may stem from model uncertainty and the exclusion of other toxicokinetic processes, along with interspecies toxicodynamics differences. Our results indicate more detailed information on how neurotoxic substances behave inside the body is essential to better utilize the <i>in vitro</i> neurotoxicity data for predicting <i>in vivo</i> toxicity and assessing the risk to the central nervous system.

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Publication Details

Journal
Frontiers in Toxicology
Published
2025-04-17
DOI
https://doi.org/10.3389/ftox.2025.1535112
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
4.51

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article

Developing a predictive model for blood-brain-barrier permeability to explore relevance of in vitro neurotoxicity data for in vivo risk assessment

Siena Elizabeth Illa, Dingsheng Li, Li M. Li, Yumei Feng Earley
3 citations
Frontiers in Toxicology
Computational Drug Discovery Methods
4.51
article

Developing a predictive model for blood-brain-barrier permeability to explore relevance of in vitro neurotoxicity data for in vivo risk assessment

Siena Elizabeth Illa, Dingsheng Li, Li M. Li, Yumei Feng Earley
article en
3 citations

Abstract

This weak correlation may stem from model uncertainty and the exclusion of other toxicokinetic processes, along with interspecies toxicodynamics differences. Our results indicate more detailed information on how neurotoxic substances behave inside the body is essential to better utilize the <i>in vitro</i> neurotoxicity data for predicting <i>in vivo</i> toxicity and assessing the risk to the central nervous system.

Frontiers in ToxicologyVol. 7
University of Nevada, Reno (US), University of Rochester Medical Center (US)
U.S. Environmental Protection Agency, University of Nevada, Reno
Openalex Percentile: Top 6%
Computational Drug Discovery Methods
4.51
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