Current High-Throughput Approaches of Screening Modulatory Effects of Xenobiotics on Cytochrome P450 (CYP) Enzymes.

Q2 Biochemistry, Genetics and Molecular Biology
High-Throughput Pub Date : 2018-09-29 DOI:10.3390/ht7040029
Yee Tze Ung, Chin Eng Ong, Yan Pan
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引用次数: 24

Abstract

Cytochrome P450 (CYP) is a critical drug-metabolizing enzyme superfamily. Modulation of CYP enzyme activities has the potential to cause drug⁻drug/herb interactions. Drug⁻drug/herb interactions can lead to serious adverse drug reactions (ADRs) or drug failures. Therefore, there is a need to examine the modulatory effects of new drug entities or herbal preparations on a wide range of CYP isoforms. The classic method of quantifying CYP enzyme activities is based on high-performance liquid chromatography (HPLC), which is time- and reagent-consuming. In the past two decades, high-throughput screening methods including fluorescence-based, luminescence-based, and mass-spectrometry-based assays have been developed and widely applied to estimate CYP enzyme activities. In general, these methods are faster and use lower volume of reagents than HPLC. However, each high-throughput method has its own limitations. Investigators may make a selection of these methods based on the available equipment in the laboratory, budget, and enzyme sources supplied. Furthermore, the current high-throughput systems should look into developing a reliable automation mechanism to accomplish ultra-high-throughput screening in the near future.

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目前筛选外源药物对细胞色素P450 (CYP)酶调节作用的高通量方法
细胞色素P450 (CYP)是一个重要的药物代谢酶超家族。CYP酶活性的调节有可能导致药物-药物/草药相互作用。药物-药物/草药的相互作用会导致严重的药物不良反应(adr)或药物失败。因此,有必要研究新药实体或草药制剂对多种CYP亚型的调节作用。定量CYP酶活性的经典方法是基于高效液相色谱法(HPLC),该方法耗时且耗费试剂。在过去的二十年中,高通量筛选方法,包括基于荧光,基于发光和基于质谱的分析已经发展并广泛应用于估计CYP酶活性。一般来说,这些方法比HPLC更快,使用的试剂量更少。然而,每种高通量方法都有其自身的局限性。研究人员可以根据实验室可用设备、预算和供应的酶源来选择这些方法。此外,目前的高通量系统应着眼于开发可靠的自动化机制,以在不久的将来实现超高通量筛选。
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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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