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More than just hormones: H295R cells as predictors of reproductive toxicity.
Maglich, Jodi M; Kuhn, Max; Chapin, Robert E; Pletcher, Mathew T.
Afiliação
  • Maglich JM; Compound Safety Prediction, Pfizer Global Research and Development, Pfizer Inc., Cambridge, MA 02420, United States.
  • Kuhn M; Non-Clinical Statistics, Pfizer Global Research Development, Pfizer Inc., Groton, CT 06340, United States.
  • Chapin RE; Developmental and Reproductive Toxicology Center of Expertise, Pfizer Global Research and Development, Pfizer Inc., Groton, CT 06340, United States.
  • Pletcher MT; Rare Diseases Research Unit, Pfizer Global Research Development, Pfizer Inc., Cambridge, MA 02420, United States. Electronic address: Mathew.Pletcher@pfizer.com.
Reprod Toxicol ; 45: 77-86, 2014 Jun.
Article em En | MEDLINE | ID: mdl-24434083
ABSTRACT
Many of the commonly observed reproductive toxicities associated with therapeutic compounds can be traced to a disruption of the steroidogenic pathway. We sought to develop an in vitro assay that would predict reproductive toxicity and be high throughput in nature. H295R cells, previously validated as having an intact and functional steroidogenic pathway, were treated with 83 known-positive and 79 known-negative proprietary and public-domain compounds. The assay measured the expression of the key enzymes STAR, 3ßHSD2, CYP17A1, CYP11B2, CYP19A1, CYP21A2, and CYP11A1 and the hormones DHEA, progesterone, testosterone, and cortisol. We found that a Random Forest model yielded a receiver operating characteristic area under the curve (ROC AUC) of 0.845, with sensitivity of 0.724 and specificity of 0.758 for predicting in vivo reproductive toxicity with this in vitro assay system.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avaliação Pré-Clínica de Medicamentos / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avaliação Pré-Clínica de Medicamentos / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article