Computational model of steroidogenesis in human H295R cells to predict biochemical response to endocrine-active chemicals: model development for metyrapone [corrected] [published erratum appears in ENVIRON HEALTH PERSPECT 2011 Jan;119(1):A11].

Background: An in vitro steroidogenesis assay using the human adrenocortical carcinoma cell line H295R is being evaluated as a possible screening assay to detect and assess the impact of endocrineactive chemicals (EACs) capable of altering steroid biosynthesis. Data interpretation and their quantita...

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Publicado en:Environmental Health Perspectives Vol. 118; no. 2; pp. 265 - 273
Autores principales: Breen MS, Breen M, Terasaki N, Yamazaki M, Conolly RB
Formato: equations & formulas research tables/charts Journal Article
Publicado: National Institute of Environmental Health Sciences Feb2010
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2010
      vid: 118
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      pub: National Institute of Environmental Health Sciences
      place: Research Triangle Park, North Carolina
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        atl: Computational model of steroidogenesis in human H295R cells to predict biochemical response to endocrine-active chemicals: model development for metyrapone [corrected] [published erratum appears in ENVIRON HEALTH PERSPECT 2011 Jan;119(1):A11].
      aug:
        au:
          Breen MS
          Breen M
          Terasaki N
          Yamazaki M
          Conolly RB
        affil: National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA
      sug:
        subj:
          Adrenal Glands Metabolism
          Environmental Pollutants Adverse Effects
          Steroids Metabolism
          Adrenal Glands Drug Effects
          Cholesterol Metabolism
          Funding Source
          Human
          Models, Statistical
          Tissue Culture Techniques
      ab: Background: An in vitro steroidogenesis assay using the human adrenocortical carcinoma cell line H295R is being evaluated as a possible screening assay to detect and assess the impact of endocrineactive chemicals (EACs) capable of altering steroid biosynthesis. Data interpretation and their quantitative use in human and ecological risk assessments can be enhanced with mechanistic computational models to help define mechanisms of action and improve understanding of intracellular concentration-response behavior. Objectives: The goal of this study was to develop a mechanistic computational model of the metabolic network of adrenal steroidogenesis to estimate the synthesis and secretion of adrenal steroids in human H295R cells and their biochemical response to steroidogenesis-disrupting EAC. Methods: We developed a deterministic model that describes the biosynthetic pathways for the conversion of cholesterol to adrenal steroids and the kinetics for enzyme inhibition by metryrapone (MET), a model EAC. Using a nonlinear parameter estimation method, the model was fitted to the measurements from an in vitro steroidogenesis assay using H295R cells. Results: Model-predicted steroid concentrations in cells and culture medium corresponded well to the time-course measurements from control and MET-exposed cells. A sensitivity analysis indicated the parameter uncertainties and identified transport and metabolic processes that most influenced the concentrations of primary adrenal steroids, aldosterone and cortisol. Conclusions: Our study demonstrates the feasibility of using a computational model of steroidogenesis to estimate steroid concentrations in vitro. This capability could be useful to help define mechanisms of action for poorly characterized chemicals and mixtures in support of predictive hazard and risk assessments with EACs.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
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        Journal Article
      ougenre: Article
    language: English
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