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- Publisher Website: 10.1016/j.fct.2022.113555
- Scopus: eid_2-s2.0-85144254634
- PMID: 36493944
- WOS: WOS:000910033300001
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Article: Development of physiologically based toxicokinetic models for 3-monochloropropane-1,2-diol and glycidol
Title | Development of physiologically based toxicokinetic models for 3-monochloropropane-1,2-diol and glycidol |
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Authors | |
Keywords | 3-monochloropropane-1,2-diol Biomarker Glycidol Physiologically based toxicokinetic model Risk assessment |
Issue Date | 2023 |
Citation | Food and Chemical Toxicology, 2023, v. 172, article no. 113555 How to Cite? |
Abstract | 3-Monochloropropane-1,2-diol (3-MCPD), glycidol, together with their fatty acid esters are commonly presented in various food and have shown carcinogenicity in various laboratory animals. Public health risk assessment of 3-MPCD and glycidol exposure relies on quantitative tools that represent their in vivo toxicokinetics. In order to better understand the absorption, distribution, metabolism, and excretion profiles of 3-MCPD and glycidol in male rats, a physiologically based pharmacokinetic (PBTK) model was developed. The model's predictive power was evaluated by comparing in silico simulations to in vivo time course data obtained from experimental studies. Results indicate that our PBTK model successfully captured the toxicokinetics of both free chemicals in key organs, and their metabolites in accessible biological fluids. With the validated PBTK model, we then gave an animal-free example on how to extrapolate the toxicological knowledge acquired from a single gavage to a realistic dietary intake scenario. Three biomarkers, free compound in serum, urinary metabolite DHPMA, and glycidol-hemoglobin adduct (diHOPrVal) were selected for in silico simulation following constant dietary intakes, and their internal levels were correlated with proposed external daily exposure via reverse dosimetry approaches. Taken together, our model provides a computational approach for extrapolating animal toxicokinetic experiments to biomonitoring measurement and risk assessment. |
Persistent Identifier | http://hdl.handle.net/10722/342257 |
ISSN | 2023 Impact Factor: 3.9 2023 SCImago Journal Rankings: 0.780 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jia, Wei | - |
dc.contributor.author | Jiang, Jiahao | - |
dc.contributor.author | Ke, Xing | - |
dc.contributor.author | Zhang, Lange | - |
dc.contributor.author | Li, Yaoran | - |
dc.contributor.author | Wan, Xuzhi | - |
dc.contributor.author | Jiao, Jingjing | - |
dc.contributor.author | Zhang, Yu | - |
dc.date.accessioned | 2024-04-17T07:02:30Z | - |
dc.date.available | 2024-04-17T07:02:30Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Food and Chemical Toxicology, 2023, v. 172, article no. 113555 | - |
dc.identifier.issn | 0278-6915 | - |
dc.identifier.uri | http://hdl.handle.net/10722/342257 | - |
dc.description.abstract | 3-Monochloropropane-1,2-diol (3-MCPD), glycidol, together with their fatty acid esters are commonly presented in various food and have shown carcinogenicity in various laboratory animals. Public health risk assessment of 3-MPCD and glycidol exposure relies on quantitative tools that represent their in vivo toxicokinetics. In order to better understand the absorption, distribution, metabolism, and excretion profiles of 3-MCPD and glycidol in male rats, a physiologically based pharmacokinetic (PBTK) model was developed. The model's predictive power was evaluated by comparing in silico simulations to in vivo time course data obtained from experimental studies. Results indicate that our PBTK model successfully captured the toxicokinetics of both free chemicals in key organs, and their metabolites in accessible biological fluids. With the validated PBTK model, we then gave an animal-free example on how to extrapolate the toxicological knowledge acquired from a single gavage to a realistic dietary intake scenario. Three biomarkers, free compound in serum, urinary metabolite DHPMA, and glycidol-hemoglobin adduct (diHOPrVal) were selected for in silico simulation following constant dietary intakes, and their internal levels were correlated with proposed external daily exposure via reverse dosimetry approaches. Taken together, our model provides a computational approach for extrapolating animal toxicokinetic experiments to biomonitoring measurement and risk assessment. | - |
dc.language | eng | - |
dc.relation.ispartof | Food and Chemical Toxicology | - |
dc.subject | 3-monochloropropane-1,2-diol | - |
dc.subject | Biomarker | - |
dc.subject | Glycidol | - |
dc.subject | Physiologically based toxicokinetic model | - |
dc.subject | Risk assessment | - |
dc.title | Development of physiologically based toxicokinetic models for 3-monochloropropane-1,2-diol and glycidol | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.fct.2022.113555 | - |
dc.identifier.pmid | 36493944 | - |
dc.identifier.scopus | eid_2-s2.0-85144254634 | - |
dc.identifier.volume | 172 | - |
dc.identifier.spage | article no. 113555 | - |
dc.identifier.epage | article no. 113555 | - |
dc.identifier.eissn | 1873-6351 | - |
dc.identifier.isi | WOS:000910033300001 | - |