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基于生物打印机的方法开发,用于将代谢能力纳入高通量检测。

Development of a bioprinter-based method for incorporating metabolic competence into high-throughput assays.

作者信息

Hopperstad Kristen, Deisenroth Chad

机构信息

Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Durham, NC, United States.

出版信息

Front Toxicol. 2023 May 4;5:1196245. doi: 10.3389/ftox.2023.1196245. eCollection 2023.

Abstract

The acceptance and use of data for hazard identification, prioritization, and risk evaluation is partly limited by uncertainties associated with xenobiotic metabolism. The lack of biotransformation capabilities of many systems may under- or overestimate the hazard of compounds that are metabolized to more or less active metabolites . One approach to retrofitting existing bioassays with metabolic competence is the lid-based Alginate Immobilization of Metabolic Enzymes (AIME) method, which adds hepatic metabolism to conventional high-throughput screening platforms. Here, limitations of the lid-based AIME method were addressed by incorporating bioprinting, which involved depositing S9-encapsulated microspheres into standard 384-well plates with requisite cofactors for phase I and II hepatic metabolism. Objectives of this study included: 1) compare the lid-based and AIME bioprinting methods by assessing the enzymatic activity of a common cytochrome P450 (CYP) enzyme, 2) use biochemical assays with the bioprinting method to characterize additional measures of phase I and II metabolic activity, and 3) evaluate the bioprinting method by screening 25 chemicals of known metabolism-dependent bioactivity in the VM7Luc estrogen receptor transactivation (ERTA) assay. A comparison of the two methods revealed comparable precision and dynamic range. Activity of additional CYP enzymes and glucuronidation was observed using the AIME bioprinting method. The ERTA experiment identified 19/21 ER-active test chemicals, 14 of which were concordant with expected biotransformation effects (73.7%). Additional refinement of the AIME bioprinting method has the potential to expand high-throughput screening capabilities in a robust, accessible manner to incorporate metabolic competence.

摘要

用于危害识别、优先级排序和风险评估的数据的接受和使用,部分受到与异生物代谢相关的不确定性的限制。许多系统缺乏生物转化能力,可能会低估或高估代谢为活性或多或少的代谢物的化合物的危害。一种使现有生物测定具备代谢能力的方法是基于盖子的代谢酶海藻酸盐固定化(AIME)方法,该方法将肝脏代谢添加到传统的高通量筛选平台中。在此,通过纳入生物打印解决了基于盖子的AIME方法的局限性,这涉及将包封S9的微球沉积到具有用于I期和II期肝脏代谢的必需辅助因子的标准384孔板中。本研究的目标包括:1)通过评估一种常见细胞色素P450(CYP)酶的酶活性来比较基于盖子的方法和AIME生物打印方法,2)使用生物打印方法的生化测定来表征I期和II期代谢活性的其他指标,以及3)通过在VM7Luc雌激素受体反式激活(ERTA)测定中筛选25种已知代谢依赖性生物活性的化学物质来评估生物打印方法。两种方法的比较显示出相当的精度和动态范围。使用AIME生物打印方法观察到了其他CYP酶的活性和葡萄糖醛酸化。ERTA实验鉴定出19/21种具有雌激素活性的测试化学品,其中14种与预期的生物转化效应一致(73.7%)。AIME生物打印方法的进一步改进有可能以强大且易于实现的方式扩展高通量筛选能力,以纳入代谢能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a74/10192685/dce208b2babf/ftox-05-1196245-g001.jpg

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