首页> 外文期刊>Toxicological sciences: An official journal of the Society of Toxicology >Mechanistic computational model of steroidogenesis in H295R cells: role of oxysterols and cell proliferation to improve predictability of biochemical response to endocrine active chemical--metyrapone.
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Mechanistic computational model of steroidogenesis in H295R cells: role of oxysterols and cell proliferation to improve predictability of biochemical response to endocrine active chemical--metyrapone.

机译:H295R细胞中类固醇生成的机制计算模型:氧固醇和细胞增殖在提高对内分泌活性化学物质-美拉酮的生化反应的可预测性中的作用。

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The human adrenocortical carcinoma cell line H295R is being used as an in vitro steroidogenesis screening assay to assess the impact of endocrine active chemicals (EACs) capable of altering steroid biosynthesis. To enhance the interpretation and quantitative application of measurement data in risk assessments, we are developing a mechanistic computational model of adrenal steroidogenesis in H295R cells to predict the synthesis of steroids from cholesterol (CHOL) and their biochemical response to EACs. We previously developed a deterministic model that describes the biosynthetic pathways for the conversion of CHOL to steroids and the kinetics for enzyme inhibition by the EAC, metyrapone (MET). In this study, we extended our dynamic model by (1) including a cell proliferation model supported by additional experiments and (2) adding a pathway for the biosynthesis of oxysterols (OXY), which are endogenous products of CHOL not linked to steroidogenesis. The cell proliferation model predictions closely matched the time-course measurements of the number of viable H295R cells. The extended steroidogenesis model estimates closely correspond to the measured time-course concentrations of CHOL and 14 adrenal steroids both in the cells and in the medium and the calculated time-course concentrations of OXY from control and MET-exposed cells. Our study demonstrates the improvement of the extended, more biologically realistic model to predict CHOL and steroid concentrations in H295R cells and medium and their dynamic biochemical response to the EAC, MET. This mechanistic modeling capability could help define mechanisms of action for poorly characterized chemicals for predictive risk assessments.
机译:人类肾上腺皮质癌细胞系H295R被用作体外类固醇生成筛选试验,以评估能够改变类固醇生物合成的内分泌活性化学物质(EAC)的影响。为了增强风险评估中测量数据的解释和定量应用,我们正在开发H295R细胞中肾上腺类固醇生成的机制计算模型,以预测胆固醇(CHOL)合成类固醇及其对EAC的生化反应。我们之前开发了一种确定性模型,该模型描述了CHOL转化为类固醇的生物合成途径以及EAC甲吡酮(MET)抑制酶的动力学。在这项研究中,我们通过以下方式扩展了动态模型:(1)包括受其他实验支持的细胞增殖模型,以及(2)添加氧固醇(OXY)的生物合成途径,而氧固醇是CHOL的内源性产物,与类固醇生成无关。细胞增殖模型的预测与活H295R细胞数量的时程测量值非常匹配。扩展的类固醇生成模型估计值与细胞和培养基中所测得的CHOL和14种肾上腺类固醇的时程浓度密切相关,并且与对照和暴露于MET的细胞计算出的OXY时程浓度密切相关。我们的研究证明了扩展的,更具生物学现实性的模型的改进,可以预测H295R细胞和培养基中的CHOL和类固醇浓度以及它们对EAC,MET的动态生化反应。这种机械建模能力可以帮助定义特征较差的化学品的作用机理,以进行预测性风险评估。

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