Quantitative in Vitro to in Vivo Extrapolation (QIVIVE) for Predicting Reduced Anogenital Distance Produced by Anti-Androgenic Pesticides in a Rodent Model for Male Reproductive Disorders.
Title: | Quantitative in Vitro to in Vivo Extrapolation (QIVIVE) for Predicting Reduced Anogenital Distance Produced by Anti-Androgenic Pesticides in a Rodent Model for Male Reproductive Disorders. |
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Authors: | Scholze, Martin1, Taxvig, Camilla2, Kortenkamp, Andreas1 andreas.kortenkamp@brunel.ac.uk, Boberg, Julie2, Christiansen, Sofie2, Svingen, Terje2, Lauschke, Karin2, Frandsen, Henrik3, Ermler, Sibylle1, Strange Hermann, Susan3, Pedersen, Mikael2, Kruse Lykkeberg, Anne3, Axelstad, Marta2, Marie Vinggaard, Anne2 annv@food.dtu.dk |
Source: | Environmental Health Perspectives. Nov2020, Vol. 128 Issue 11, p117005-1-117005-17. 17p. 2 Diagrams, 3 Charts, 4 Graphs. |
Subject Terms: | *PESTICIDE analysis, *ANIMAL experimentation, *ANTIANDROGENS, *BIOLOGICAL models, *MALE reproductive organs, *MALE reproductive organ diseases, *PESTICIDES, *RATS, *RESEARCH funding, *RISK assessment, *TOXICITY testing, *PREDICTION models, *QUANTITATIVE research, *DESCRIPTIVE statistics, *IN vitro studies, *MATERNAL exposure, *IN vivo studies, *DISEASE risk factors, *FETUS |
Abstract: | BACKGROUND: Many pesticides can antagonize the androgen receptor (AR) or inhibit androgen synthesis in vitro but their potential to cause reproductive toxicity related to disruption of androgen action during fetal life is difficult to predict. Currently no approaches for using in vitro data to anticipate such in vivo effects exist. Prioritization schemes that limit unnecessary in vivo testing are urgently needed. OBJECTIVES: The aim was to develop a quantitative in vitro to in vivo extrapolation (QIVIVE) approach for predicting in vivo anti-androgenicity arising from gestational exposures and manifesting as a shortened anogenital distance (AGD) in male rats. METHODS: We built a physiologically based pharmacokinetic (PBK) model to simulate concentrations of chemicals in the fetus resulting from maternal dosing. The predicted fetal levels were compared with analytically determined concentrations, and these were judged against in vitro active concentrations for AR antagonism and androgen synthesis suppression. RESULTS: We first evaluated our model by using in vitro and in vivo anti-androgenic data for procymidone, vinclozolin, and linuron. Our PBK model described the measured fetal concentrations of parent compounds and metabolites quite accurately (within a factor of five). We applied the model to nine current-use pesticides, all with in vitro evidence for anti-androgenicity but missing in vivo data. Seven pesticides (fludioxonil, cyprodinil, dimethomorph, imazalil, quinoxyfen, fenhexamid, o-phenylphenol) were predicted to produce a shortened AGD in male pups, whereas two (k-cyhalothrin, pyrimethanil) were anticipated to be inactive. We tested these expectations for fludioxonil, cyprodinil, and dimethomorph and observed shortened AGD in male pups after gestational exposure. The measured fetal concentrations agreed well with PBK-modeled predictions. DISCUSSION: Our QIVIVE model newly identified fludioxonil, cyprodinil, and dimethomorph as in vivo anti-androgens. With the examples investigated, our approach shows great promise for predicting in vivo anti androgenicity (i.e., AGD shortening) for chemicals with in vitro activity and for minimizing unnecessary in vivo testing. [ABSTRACT FROM AUTHOR] |
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Items | – Name: Title Label: Title Group: Ti Data: Quantitative in Vitro to in Vivo Extrapolation (QIVIVE) for Predicting Reduced Anogenital Distance Produced by Anti-Androgenic Pesticides in a Rodent Model for Male Reproductive Disorders. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Scholze%2C+Martin%22">Scholze, Martin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Taxvig%2C+Camilla%22">Taxvig, Camilla</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kortenkamp%2C+Andreas%22">Kortenkamp, Andreas</searchLink><relatesTo>1</relatesTo><i> andreas.kortenkamp@brunel.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Boberg%2C+Julie%22">Boberg, Julie</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Christiansen%2C+Sofie%22">Christiansen, Sofie</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Svingen%2C+Terje%22">Svingen, Terje</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lauschke%2C+Karin%22">Lauschke, Karin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Frandsen%2C+Henrik%22">Frandsen, Henrik</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Ermler%2C+Sibylle%22">Ermler, Sibylle</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Strange+Hermann%2C+Susan%22">Strange Hermann, Susan</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Pedersen%2C+Mikael%22">Pedersen, Mikael</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kruse+Lykkeberg%2C+Anne%22">Kruse Lykkeberg, Anne</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Axelstad%2C+Marta%22">Axelstad, Marta</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Marie+Vinggaard%2C+Anne%22">Marie Vinggaard, Anne</searchLink><relatesTo>2</relatesTo><i> annv@food.dtu.dk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. Nov2020, Vol. 128 Issue 11, p117005-1-117005-17. 17p. 2 Diagrams, 3 Charts, 4 Graphs. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22PESTICIDE+analysis%22">PESTICIDE analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22ANIMAL+experimentation%22">ANIMAL experimentation</searchLink><br />*<searchLink fieldCode="DE" term="%22ANTIANDROGENS%22">ANTIANDROGENS</searchLink><br />*<searchLink fieldCode="DE" term="%22BIOLOGICAL+models%22">BIOLOGICAL models</searchLink><br />*<searchLink fieldCode="DE" term="%22MALE+reproductive+organs%22">MALE reproductive organs</searchLink><br />*<searchLink fieldCode="DE" term="%22MALE+reproductive+organ+diseases%22">MALE reproductive organ diseases</searchLink><br />*<searchLink fieldCode="DE" term="%22PESTICIDES%22">PESTICIDES</searchLink><br />*<searchLink fieldCode="DE" term="%22RATS%22">RATS</searchLink><br />*<searchLink fieldCode="DE" term="%22RESEARCH+funding%22">RESEARCH funding</searchLink><br />*<searchLink fieldCode="DE" term="%22RISK+assessment%22">RISK assessment</searchLink><br />*<searchLink fieldCode="DE" term="%22TOXICITY+testing%22">TOXICITY testing</searchLink><br />*<searchLink fieldCode="DE" term="%22PREDICTION+models%22">PREDICTION models</searchLink><br />*<searchLink fieldCode="DE" term="%22QUANTITATIVE+research%22">QUANTITATIVE research</searchLink><br />*<searchLink fieldCode="DE" term="%22DESCRIPTIVE+statistics%22">DESCRIPTIVE statistics</searchLink><br />*<searchLink fieldCode="DE" term="%22IN+vitro+studies%22">IN vitro studies</searchLink><br />*<searchLink fieldCode="DE" term="%22MATERNAL+exposure%22">MATERNAL exposure</searchLink><br />*<searchLink fieldCode="DE" term="%22IN+vivo+studies%22">IN vivo studies</searchLink><br />*<searchLink fieldCode="DE" term="%22DISEASE+risk+factors%22">DISEASE risk factors</searchLink><br />*<searchLink fieldCode="DE" term="%22FETUS%22">FETUS</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: BACKGROUND: Many pesticides can antagonize the androgen receptor (AR) or inhibit androgen synthesis in vitro but their potential to cause reproductive toxicity related to disruption of androgen action during fetal life is difficult to predict. Currently no approaches for using in vitro data to anticipate such in vivo effects exist. Prioritization schemes that limit unnecessary in vivo testing are urgently needed. OBJECTIVES: The aim was to develop a quantitative in vitro to in vivo extrapolation (QIVIVE) approach for predicting in vivo anti-androgenicity arising from gestational exposures and manifesting as a shortened anogenital distance (AGD) in male rats. METHODS: We built a physiologically based pharmacokinetic (PBK) model to simulate concentrations of chemicals in the fetus resulting from maternal dosing. The predicted fetal levels were compared with analytically determined concentrations, and these were judged against in vitro active concentrations for AR antagonism and androgen synthesis suppression. RESULTS: We first evaluated our model by using in vitro and in vivo anti-androgenic data for procymidone, vinclozolin, and linuron. Our PBK model described the measured fetal concentrations of parent compounds and metabolites quite accurately (within a factor of five). We applied the model to nine current-use pesticides, all with in vitro evidence for anti-androgenicity but missing in vivo data. Seven pesticides (fludioxonil, cyprodinil, dimethomorph, imazalil, quinoxyfen, fenhexamid, o-phenylphenol) were predicted to produce a shortened AGD in male pups, whereas two (k-cyhalothrin, pyrimethanil) were anticipated to be inactive. We tested these expectations for fludioxonil, cyprodinil, and dimethomorph and observed shortened AGD in male pups after gestational exposure. The measured fetal concentrations agreed well with PBK-modeled predictions. DISCUSSION: Our QIVIVE model newly identified fludioxonil, cyprodinil, and dimethomorph as in vivo anti-androgens. With the examples investigated, our approach shows great promise for predicting in vivo anti androgenicity (i.e., AGD shortening) for chemicals with in vitro activity and for minimizing unnecessary in vivo testing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1289/EHP6774 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 117005-1 Subjects: – SubjectFull: PESTICIDE analysis Type: general – SubjectFull: ANIMAL experimentation Type: general – SubjectFull: ANTIANDROGENS Type: general – SubjectFull: BIOLOGICAL models Type: general – SubjectFull: MALE reproductive organs Type: general – SubjectFull: MALE reproductive organ diseases Type: general – SubjectFull: PESTICIDES Type: general – SubjectFull: RATS Type: general – SubjectFull: RESEARCH funding Type: general – SubjectFull: RISK assessment Type: general – SubjectFull: TOXICITY testing Type: general – SubjectFull: PREDICTION models Type: general – SubjectFull: QUANTITATIVE research Type: general – SubjectFull: DESCRIPTIVE statistics Type: general – SubjectFull: IN vitro studies Type: general – SubjectFull: MATERNAL exposure Type: general – SubjectFull: IN vivo studies Type: general – SubjectFull: DISEASE risk factors Type: general – SubjectFull: FETUS Type: general Titles: – TitleFull: Quantitative in Vitro to in Vivo Extrapolation (QIVIVE) for Predicting Reduced Anogenital Distance Produced by Anti-Androgenic Pesticides in a Rodent Model for Male Reproductive Disorders. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Scholze, Martin – PersonEntity: Name: NameFull: Taxvig, Camilla – PersonEntity: Name: NameFull: Kortenkamp, Andreas – PersonEntity: Name: NameFull: Boberg, Julie – PersonEntity: Name: NameFull: Christiansen, Sofie – PersonEntity: Name: NameFull: Svingen, Terje – PersonEntity: Name: NameFull: Lauschke, Karin – PersonEntity: Name: NameFull: Frandsen, Henrik – PersonEntity: Name: NameFull: Ermler, Sibylle – PersonEntity: Name: NameFull: Strange Hermann, Susan – PersonEntity: Name: NameFull: Pedersen, Mikael – PersonEntity: Name: NameFull: Kruse Lykkeberg, Anne – PersonEntity: Name: NameFull: Axelstad, Marta – PersonEntity: Name: NameFull: Marie Vinggaard, Anne IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 00916765 Numbering: – Type: volume Value: 128 – Type: issue Value: 11 Titles: – TitleFull: Environmental Health Perspectives Type: main |
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