Your browser doesn't support javascript.
loading
Characterizing cleft palate toxicants using ToxCast data, chemical structure, and the biomedical literature.
Baker, Nancy C; Sipes, Nisha S; Franzosa, Jill; Belair, David G; Abbott, Barbara D; Judson, Richard S; Knudsen, Thomas B.
Afiliación
  • Baker NC; Leidos, Research Triangle Park, North Carolina.
  • Sipes NS; NIEHS Division of the National Toxicology Program, Research Triangle Park, North Carolina.
  • Franzosa J; IOAA CSS, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina.
  • Belair DG; NHEERL, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina.
  • Abbott BD; NHEERL, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina.
  • Judson RS; National Center for Computational Toxicology, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina.
  • Knudsen TB; National Center for Computational Toxicology, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina.
Birth Defects Res ; 112(1): 19-39, 2020 01 01.
Article en En | MEDLINE | ID: mdl-31471948
Cleft palate has been linked to both genetic and environmental factors that perturb key events during palatal morphogenesis. As a developmental outcome, it presents a challenging, mechanistically complex endpoint for predictive modeling. A data set of 500 chemicals evaluated for their ability to induce cleft palate in animal prenatal developmental studies was compiled from Toxicity Reference Database and the biomedical literature, which included 63 cleft palate active and 437 inactive chemicals. To characterize the potential molecular targets for chemical-induced cleft palate, we mined the ToxCast high-throughput screening database for patterns and linkages in bioactivity profiles and chemical structural descriptors. ToxCast assay results were filtered for cytotoxicity and grouped by target gene activity to produce a "gene score." Following unsuccessful attempts to derive a global prediction model using structural and gene score descriptors, hierarchical clustering was applied to the set of 63 cleft palate positives to extract local structure-bioactivity clusters for follow-up study. Patterns of enrichment were confirmed on the complete data set, that is, including cleft palate inactives, and putative molecular initiating events identified. The clusters corresponded to ToxCast assays for cytochrome P450s, G-protein coupled receptors, retinoic acid receptors, the glucocorticoid receptor, and tyrosine kinases/phosphatases. These patterns and linkages were organized into preliminary decision trees and the resulting inferences were mapped to a putative adverse outcome pathway framework for cleft palate supported by literature evidence of current mechanistic understanding. This general data-driven approach offers a promising avenue for mining chemical-bioassay drivers of complex developmental endpoints where data are often limited.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fisura del Paladar / Pruebas de Toxicidad / Bibliotecas de Moléculas Pequeñas Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Birth Defects Res Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fisura del Paladar / Pruebas de Toxicidad / Bibliotecas de Moléculas Pequeñas Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Birth Defects Res Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos