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Integrating In Vitro Data and Physiologically Based Kinetic Modeling to Predict and Compare Acute Neurotoxic Doses of Saxitoxin in Rats, Mice, and Humans
[Image: see text] Current climate trends are likely to expand the geographic distribution of the toxigenic microalgae and concomitant phycotoxins, making intoxications by such toxins a global phenomenon. Among various phycotoxins, saxitoxin (STX) acts as a neurotoxin that might cause severe neurolog...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399293/ https://www.ncbi.nlm.nih.gov/pubmed/37478462 http://dx.doi.org/10.1021/acs.est.3c01987 |
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author | Chen, Jiaqi Noorlander, Annelies Wesseling, Sebastiaan Bouwmeester, Hans Kramer, Nynke I. Rietjens, Ivonne M.C.M. |
author_facet | Chen, Jiaqi Noorlander, Annelies Wesseling, Sebastiaan Bouwmeester, Hans Kramer, Nynke I. Rietjens, Ivonne M.C.M. |
author_sort | Chen, Jiaqi |
collection | PubMed |
description | [Image: see text] Current climate trends are likely to expand the geographic distribution of the toxigenic microalgae and concomitant phycotoxins, making intoxications by such toxins a global phenomenon. Among various phycotoxins, saxitoxin (STX) acts as a neurotoxin that might cause severe neurological symptoms in mammals following consumptions of contaminated seafood. To derive a point of departure (POD) for human health risk assessment upon acute neurotoxicity induced by oral STX exposure, a physiologically based kinetic (PBK) modeling-facilitated quantitative in vitro to in vivo extrapolation (QIVIVE) approach was employed. The PBK models for rats, mice, and humans were built using parameters from the literature, in vitro experiments, and in silico predictions. Available in vitro toxicity data for STX were converted to in vivo dose–response curves via the PBK models established for these three species, and POD values were derived from the predicted curves and compared to reported in vivo toxicity data. Interspecies differences in acute STX toxicity between rodents and humans were found, and they appeared to be mainly due to differences in toxicokinetics. The described approach resulted in adequate predictions for acute oral STX exposure, indicating that new approach methodologies, when appropriately integrated, can be used in a 3R-based chemical risk assessment paradigm. |
format | Online Article Text |
id | pubmed-10399293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103992932023-08-04 Integrating In Vitro Data and Physiologically Based Kinetic Modeling to Predict and Compare Acute Neurotoxic Doses of Saxitoxin in Rats, Mice, and Humans Chen, Jiaqi Noorlander, Annelies Wesseling, Sebastiaan Bouwmeester, Hans Kramer, Nynke I. Rietjens, Ivonne M.C.M. Environ Sci Technol [Image: see text] Current climate trends are likely to expand the geographic distribution of the toxigenic microalgae and concomitant phycotoxins, making intoxications by such toxins a global phenomenon. Among various phycotoxins, saxitoxin (STX) acts as a neurotoxin that might cause severe neurological symptoms in mammals following consumptions of contaminated seafood. To derive a point of departure (POD) for human health risk assessment upon acute neurotoxicity induced by oral STX exposure, a physiologically based kinetic (PBK) modeling-facilitated quantitative in vitro to in vivo extrapolation (QIVIVE) approach was employed. The PBK models for rats, mice, and humans were built using parameters from the literature, in vitro experiments, and in silico predictions. Available in vitro toxicity data for STX were converted to in vivo dose–response curves via the PBK models established for these three species, and POD values were derived from the predicted curves and compared to reported in vivo toxicity data. Interspecies differences in acute STX toxicity between rodents and humans were found, and they appeared to be mainly due to differences in toxicokinetics. The described approach resulted in adequate predictions for acute oral STX exposure, indicating that new approach methodologies, when appropriately integrated, can be used in a 3R-based chemical risk assessment paradigm. American Chemical Society 2023-07-21 /pmc/articles/PMC10399293/ /pubmed/37478462 http://dx.doi.org/10.1021/acs.est.3c01987 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Chen, Jiaqi Noorlander, Annelies Wesseling, Sebastiaan Bouwmeester, Hans Kramer, Nynke I. Rietjens, Ivonne M.C.M. Integrating In Vitro Data and Physiologically Based Kinetic Modeling to Predict and Compare Acute Neurotoxic Doses of Saxitoxin in Rats, Mice, and Humans |
title | Integrating In Vitro Data and Physiologically
Based Kinetic Modeling to Predict and Compare Acute Neurotoxic Doses
of Saxitoxin in Rats, Mice, and Humans |
title_full | Integrating In Vitro Data and Physiologically
Based Kinetic Modeling to Predict and Compare Acute Neurotoxic Doses
of Saxitoxin in Rats, Mice, and Humans |
title_fullStr | Integrating In Vitro Data and Physiologically
Based Kinetic Modeling to Predict and Compare Acute Neurotoxic Doses
of Saxitoxin in Rats, Mice, and Humans |
title_full_unstemmed | Integrating In Vitro Data and Physiologically
Based Kinetic Modeling to Predict and Compare Acute Neurotoxic Doses
of Saxitoxin in Rats, Mice, and Humans |
title_short | Integrating In Vitro Data and Physiologically
Based Kinetic Modeling to Predict and Compare Acute Neurotoxic Doses
of Saxitoxin in Rats, Mice, and Humans |
title_sort | integrating in vitro data and physiologically
based kinetic modeling to predict and compare acute neurotoxic doses
of saxitoxin in rats, mice, and humans |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399293/ https://www.ncbi.nlm.nih.gov/pubmed/37478462 http://dx.doi.org/10.1021/acs.est.3c01987 |
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