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[基于定量靶向绝对蛋白质组学(QTAP)的药物蛋白质组学:国际合作的重要性]

[Quantitative Targeted Absolute Proteomics (QTAP)-based Pharmacoproteomics: The Importance of International Collaboration].

作者信息

Terasaki Tetsuya

机构信息

Membrane Transport and Drug Targeting Laboratory, Graduate School of Pharmaceutical Sciences, Tohoku University.

出版信息

Yakugaku Zasshi. 2017;137(6):685-689. doi: 10.1248/yakushi.16-00250-3.

DOI:10.1248/yakushi.16-00250-3
PMID:28566574
Abstract

Proteins such as membrane transporters, enzymes, receptors and channels play key roles in drug absorption, distribution, metabolism, and elimination, and also influence efficacy and the likelihood of adverse reactions. Therefore, if we can quantify the activities of these molecules, it may be possible to predict the behavior of candidate drugs in humans in disease states; such methodology would be extremely helpful for efficient drug development. We have developed an in silico method to select appropriate peptides within amino acid sequences in order to quantify targeted proteins by LC-MS/MS in selected reaction monitoring (SRM) mode. We have applied this method for the quantification of functional proteins in order to validate various in vitro and in vivo models. We found fairly good correlation between protein amounts and the enzymatic activities of microsomal cytochrome P450 (CYP) isoforms and uridine 5'-diphospho-glucuronosyltransferase (UGT) in human liver, as well as between protein amounts and the transport activities of multiple transporters in human lung cells. These results suggest that protein quantification can be useful in predicting activity. We have applied this approach to evaluate the usefulness and limitations of an immortalized human brain capillary endothelial cell line (D3 cells) and a P-glycoprotein humanized (hMDR1) mouse model by comparing the amounts of functional proteins in the models with those in isolated capillaries from human brain. In order to obtain sufficient human tissue specimens for further studies leading to clinical applications, we believe that international collaboration will be crucial.

摘要

诸如膜转运蛋白、酶、受体和通道等蛋白质在药物吸收、分布、代谢及消除过程中发挥着关键作用,同时也会影响药物疗效及不良反应发生的可能性。因此,如果我们能够量化这些分子的活性,就有可能预测候选药物在患病状态下人体中的行为;这样的方法对于高效药物研发将极为有用。我们开发了一种计算机模拟方法,用于在氨基酸序列中选择合适的肽段,以便在选择反应监测(SRM)模式下通过液相色谱-串联质谱(LC-MS/MS)对目标蛋白进行定量。我们已将此方法应用于功能蛋白的定量,以验证各种体外和体内模型。我们发现,人肝脏中微粒体细胞色素P450(CYP)同工酶和尿苷5'-二磷酸葡萄糖醛酸转移酶(UGT)的蛋白量与酶活性之间,以及人肺细胞中多种转运蛋白的蛋白量与转运活性之间存在相当良好的相关性。这些结果表明,蛋白定量在预测活性方面可能是有用的。我们已应用此方法,通过比较模型中功能蛋白的量与来自人脑的分离毛细血管中的功能蛋白量,来评估永生化人脑微血管内皮细胞系(D3细胞)和P-糖蛋白人源化(hMDR1)小鼠模型的实用性和局限性。为了获得足够的人体组织标本用于进一步的临床应用研究,我们认为国际合作至关重要。

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