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一种用于药物治疗个体化的代谢组学方法。

A Metabolomics Approach to Pharmacotherapy Personalization.

作者信息

Balashova Elena E, Maslov Dmitry L, Lokhov Petr G

机构信息

Institute of Biomedical Chemistry, Pogodinskaya St. 10, Moscow 119121, Russia.

出版信息

J Pers Med. 2018 Sep 5;8(3):28. doi: 10.3390/jpm8030028.

Abstract

The optimization of drug therapy according to the personal characteristics of patients is a perspective direction in modern medicine. One of the possible ways to achieve such personalization is through the application of "omics" technologies, including current, promising metabolomics methods. This review demonstrates that the analysis of pre-dose metabolite biofluid profiles allows clinicians to predict the effectiveness of a selected drug treatment for a given individual. In the review, it is also shown that the monitoring of post-dose metabolite profiles could allow clinicians to evaluate drug efficiency, the reaction of the host to the treatment, and the outcome of the therapy. A comparative description of pharmacotherapy personalization (pharmacogenomics, pharmacoproteomics, and therapeutic drug monitoring) and personalization based on the analysis of metabolite profiles for biofluids (pharmacometabolomics) is also provided.

摘要

根据患者个体特征优化药物治疗是现代医学的一个前瞻性方向。实现这种个性化的一种可能方法是应用“组学”技术,包括当前有前景的代谢组学方法。这篇综述表明,给药前代谢物生物流体谱分析使临床医生能够预测特定个体所选药物治疗的有效性。该综述还表明,给药后代谢物谱监测可使临床医生评估药物疗效、宿主对治疗的反应以及治疗结果。还提供了药物治疗个性化(药物基因组学、药物蛋白质组学和治疗药物监测)与基于生物流体代谢物谱分析的个性化(药物代谢组学)的比较描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9169/6164342/3cae28ddd1b7/jpm-08-00028-g001.jpg

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