Predicting the in vivo developmental toxicity of fenarimol from in vitro toxicity data using PBTK modelling-facilitated reverse dosimetry approach
In vitro methods are widely used in modern toxicological testing; however, the data cannot be directly employed for risk assessment. In vivo toxicity of chemicals can be predicted from in vitro data using physiologically based toxicokinetic (PBTK) modelling-facilitated reverse dosimetry (PBTK-RD). I...
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container_title | Toxicology and applied pharmacology |
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creator | Bhateria, Manisha Taneja, Isha Karsauliya, Kajal Sonker, Ashish Kumar Shibata, Yukihiro Sato, Hiromi Singh, Sheelendra Pratap Hisaka, Akihiro |
description | In vitro methods are widely used in modern toxicological testing; however, the data cannot be directly employed for risk assessment. In vivo toxicity of chemicals can be predicted from in vitro data using physiologically based toxicokinetic (PBTK) modelling-facilitated reverse dosimetry (PBTK-RD). In this study, a minimal-PBTK model was constructed to predict the in-vivo kinetic profile of fenarimol (FNL) in rats and humans. The model was verified by comparing the observed and predicted pharmacokinetics of FNL for rats (calibrator) and further applied to humans. Using the PBTK-RD approach, the reported in vitro developmental toxicity data for FNL was translated to in vivo dose-response data to predict the assay equivalent oral dose in rats and humans. The predicted assay equivalent rat oral dose (36.46 mg/kg) was comparable to the literature reported in vivo BMD10 value (22.8 mg/kg). The model was also employed to derive the chemical-specific adjustment factor (CSAF) for interspecies toxicokinetics variability of FNL. Further, Monte Carlo simulations were performed to predict the population variability in the plasma concentration of FNL and to derive CSAF for intersubject human kinetic differences. The comparison of CSAF values for interspecies and intersubject toxicokinetic variability with their respective default values revealed that the applied uncertainty factors were adequately protective.
[Display omitted]
•Minimal-PBTK model was used to predict systemic exposure of FNL in rat and human.•Model was verified by comparing the rat observed and predicted kinetic parameters.•PBTK-reverse dosimetry translated in vitro toxicity to assay equivalent oral dose.•Using Monte Carlo simulations, human variability in kinetics of FNL was predicted.•CSAF were derived for interspecies and intersubject toxicokinetics variability. |
doi_str_mv | 10.1016/j.taap.2024.116879 |
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[Display omitted]
•Minimal-PBTK model was used to predict systemic exposure of FNL in rat and human.•Model was verified by comparing the rat observed and predicted kinetic parameters.•PBTK-reverse dosimetry translated in vitro toxicity to assay equivalent oral dose.•Using Monte Carlo simulations, human variability in kinetics of FNL was predicted.•CSAF were derived for interspecies and intersubject toxicokinetics variability.</description><identifier>ISSN: 0041-008X</identifier><identifier>EISSN: 1096-0333</identifier><identifier>DOI: 10.1016/j.taap.2024.116879</identifier><identifier>PMID: 38431230</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Animals ; Developmental toxicity ; Fungicides ; Health risk assessment ; Humans ; Models, Biological ; Monte Carlo Method ; Monte Carlo simulations ; PBTK model ; Pyrimidines ; Rats ; Risk Assessment ; Toxicokinetics ; Uncertainty factor</subject><ispartof>Toxicology and applied pharmacology, 2024-03, Vol.484, p.116879-116879, Article 116879</ispartof><rights>2024 Elsevier Inc.</rights><rights>Copyright © 2024 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c307t-7043d322ea0096dec1ab94bedcbf12b704433187b05cab9f199dbec08b2701a43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0041008X24000772$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38431230$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bhateria, Manisha</creatorcontrib><creatorcontrib>Taneja, Isha</creatorcontrib><creatorcontrib>Karsauliya, Kajal</creatorcontrib><creatorcontrib>Sonker, Ashish Kumar</creatorcontrib><creatorcontrib>Shibata, Yukihiro</creatorcontrib><creatorcontrib>Sato, Hiromi</creatorcontrib><creatorcontrib>Singh, Sheelendra Pratap</creatorcontrib><creatorcontrib>Hisaka, Akihiro</creatorcontrib><title>Predicting the in vivo developmental toxicity of fenarimol from in vitro toxicity data using PBTK modelling-facilitated reverse dosimetry approach</title><title>Toxicology and applied pharmacology</title><addtitle>Toxicol Appl Pharmacol</addtitle><description>In vitro methods are widely used in modern toxicological testing; however, the data cannot be directly employed for risk assessment. In vivo toxicity of chemicals can be predicted from in vitro data using physiologically based toxicokinetic (PBTK) modelling-facilitated reverse dosimetry (PBTK-RD). In this study, a minimal-PBTK model was constructed to predict the in-vivo kinetic profile of fenarimol (FNL) in rats and humans. The model was verified by comparing the observed and predicted pharmacokinetics of FNL for rats (calibrator) and further applied to humans. Using the PBTK-RD approach, the reported in vitro developmental toxicity data for FNL was translated to in vivo dose-response data to predict the assay equivalent oral dose in rats and humans. The predicted assay equivalent rat oral dose (36.46 mg/kg) was comparable to the literature reported in vivo BMD10 value (22.8 mg/kg). The model was also employed to derive the chemical-specific adjustment factor (CSAF) for interspecies toxicokinetics variability of FNL. Further, Monte Carlo simulations were performed to predict the population variability in the plasma concentration of FNL and to derive CSAF for intersubject human kinetic differences. The comparison of CSAF values for interspecies and intersubject toxicokinetic variability with their respective default values revealed that the applied uncertainty factors were adequately protective.
[Display omitted]
•Minimal-PBTK model was used to predict systemic exposure of FNL in rat and human.•Model was verified by comparing the rat observed and predicted kinetic parameters.•PBTK-reverse dosimetry translated in vitro toxicity to assay equivalent oral dose.•Using Monte Carlo simulations, human variability in kinetics of FNL was predicted.•CSAF were derived for interspecies and intersubject toxicokinetics variability.</description><subject>Animals</subject><subject>Developmental toxicity</subject><subject>Fungicides</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Models, Biological</subject><subject>Monte Carlo Method</subject><subject>Monte Carlo simulations</subject><subject>PBTK model</subject><subject>Pyrimidines</subject><subject>Rats</subject><subject>Risk Assessment</subject><subject>Toxicokinetics</subject><subject>Uncertainty factor</subject><issn>0041-008X</issn><issn>1096-0333</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1O3DAUhS1EBVPgBVggL9lkev0zk0TqpkWlrUBiFoPEznLsG_AoiVPbM-q8Rp8Yj0LbHSvLuuec-_MRcslgzoAtP23mSetxzoHLOWPLqqyPyIxBvSxACHFMZgCSFQDV0yn5GOMGAGop2Qk5FZUUjAuYkT-rgNaZ5IZnml6QuoHu3M5Tizvs_NjjkHRHk__tjEt76lva4qCD631H2-D7yZCC_6-xOmm6jYfE1df1He29xa7L36LVxnUu6YSWhtwgRKTWR9djCnuqxzF4bV7OyYdWdxEv3t4z8nj7bX3zo7h_-P7z5st9YQSUqShBCis4R53XWlo0TDe1bNCapmW8yWUpBKvKBhYmV1pW17ZBA1XDS2BaijNyPeXmtr-2GJPqXTR5VD2g30bFa1EKsVhUPEv5JDXBxxiwVWM-gQ57xUAdWKiNOrBQBxZqYpFNV2_526ZH-8_y9_hZ8HkSYN5y5zCoaBwOJgMJaJKy3r2X_wqGQp5h</recordid><startdate>202403</startdate><enddate>202403</enddate><creator>Bhateria, Manisha</creator><creator>Taneja, Isha</creator><creator>Karsauliya, Kajal</creator><creator>Sonker, Ashish Kumar</creator><creator>Shibata, Yukihiro</creator><creator>Sato, Hiromi</creator><creator>Singh, Sheelendra Pratap</creator><creator>Hisaka, Akihiro</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202403</creationdate><title>Predicting the in vivo developmental toxicity of fenarimol from in vitro toxicity data using PBTK modelling-facilitated reverse dosimetry approach</title><author>Bhateria, Manisha ; Taneja, Isha ; Karsauliya, Kajal ; Sonker, Ashish Kumar ; Shibata, Yukihiro ; Sato, Hiromi ; Singh, Sheelendra Pratap ; Hisaka, Akihiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c307t-7043d322ea0096dec1ab94bedcbf12b704433187b05cab9f199dbec08b2701a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animals</topic><topic>Developmental toxicity</topic><topic>Fungicides</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Models, Biological</topic><topic>Monte Carlo Method</topic><topic>Monte Carlo simulations</topic><topic>PBTK model</topic><topic>Pyrimidines</topic><topic>Rats</topic><topic>Risk Assessment</topic><topic>Toxicokinetics</topic><topic>Uncertainty factor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bhateria, Manisha</creatorcontrib><creatorcontrib>Taneja, Isha</creatorcontrib><creatorcontrib>Karsauliya, Kajal</creatorcontrib><creatorcontrib>Sonker, Ashish Kumar</creatorcontrib><creatorcontrib>Shibata, Yukihiro</creatorcontrib><creatorcontrib>Sato, Hiromi</creatorcontrib><creatorcontrib>Singh, Sheelendra Pratap</creatorcontrib><creatorcontrib>Hisaka, Akihiro</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Toxicology and applied pharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bhateria, Manisha</au><au>Taneja, Isha</au><au>Karsauliya, Kajal</au><au>Sonker, Ashish Kumar</au><au>Shibata, Yukihiro</au><au>Sato, Hiromi</au><au>Singh, Sheelendra Pratap</au><au>Hisaka, Akihiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the in vivo developmental toxicity of fenarimol from in vitro toxicity data using PBTK modelling-facilitated reverse dosimetry approach</atitle><jtitle>Toxicology and applied pharmacology</jtitle><addtitle>Toxicol Appl Pharmacol</addtitle><date>2024-03</date><risdate>2024</risdate><volume>484</volume><spage>116879</spage><epage>116879</epage><pages>116879-116879</pages><artnum>116879</artnum><issn>0041-008X</issn><eissn>1096-0333</eissn><abstract>In vitro methods are widely used in modern toxicological testing; however, the data cannot be directly employed for risk assessment. In vivo toxicity of chemicals can be predicted from in vitro data using physiologically based toxicokinetic (PBTK) modelling-facilitated reverse dosimetry (PBTK-RD). In this study, a minimal-PBTK model was constructed to predict the in-vivo kinetic profile of fenarimol (FNL) in rats and humans. The model was verified by comparing the observed and predicted pharmacokinetics of FNL for rats (calibrator) and further applied to humans. Using the PBTK-RD approach, the reported in vitro developmental toxicity data for FNL was translated to in vivo dose-response data to predict the assay equivalent oral dose in rats and humans. The predicted assay equivalent rat oral dose (36.46 mg/kg) was comparable to the literature reported in vivo BMD10 value (22.8 mg/kg). The model was also employed to derive the chemical-specific adjustment factor (CSAF) for interspecies toxicokinetics variability of FNL. Further, Monte Carlo simulations were performed to predict the population variability in the plasma concentration of FNL and to derive CSAF for intersubject human kinetic differences. The comparison of CSAF values for interspecies and intersubject toxicokinetic variability with their respective default values revealed that the applied uncertainty factors were adequately protective.
[Display omitted]
•Minimal-PBTK model was used to predict systemic exposure of FNL in rat and human.•Model was verified by comparing the rat observed and predicted kinetic parameters.•PBTK-reverse dosimetry translated in vitro toxicity to assay equivalent oral dose.•Using Monte Carlo simulations, human variability in kinetics of FNL was predicted.•CSAF were derived for interspecies and intersubject toxicokinetics variability.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>38431230</pmid><doi>10.1016/j.taap.2024.116879</doi><tpages>1</tpages></addata></record> |
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subjects | Animals Developmental toxicity Fungicides Health risk assessment Humans Models, Biological Monte Carlo Method Monte Carlo simulations PBTK model Pyrimidines Rats Risk Assessment Toxicokinetics Uncertainty factor |
title | Predicting the in vivo developmental toxicity of fenarimol from in vitro toxicity data using PBTK modelling-facilitated reverse dosimetry approach |
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