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Improving Therapeutic Decisions: Pharmacodynamic Monitoring as an Integral Part of Therapeutic Drug Monitoring

机译:提高治疗决策:药效学监测作为治疗药物监测的一个组成部分

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Although the monitoring of drug therapies based on the determination of drug concentrations in biological materials is certainly an important instrument for individualized dosing and dose adjustment with a broad variety of pharmaceuticals, its role is limited by the fact that it does not reflect pharmacodynamic (PD) and toxicodynamic interactions such as those caused by individual and environment-related factors. However, these interactions are important for both the efficacy and the safety of the drug therapy. Therefore, during recent years, there is an increased interest in personalized drug therapy as reflected by the development and clinical implementation of molecular "biomarkers" that are direct or surrogate markers of pharmacological effects [PD therapeutic drug monitoring (TDM)]. Moreover, this process is driven by new developments in instrumentation, such as mass spectrometry and array technologies, and in computational biology/pharmacology, databases, and bioinformatics. This Focus Issue of the journal focuses on current achievements in and status of PD TDM with different classes of drugs. The contributions to the present issue of Therapeutic Drug Monitoring provide a critical analysis of current practices of TDM with their limitations, introduce newer promising biomarkers in the field of PD TDM, discuss the challenges faced to date in translating preclinical tools into clinical settings, and point out recent advances in the establishment of modeling approaches that apply to pharmacokinetics (PK)/PD as well as pharmacogenetic information.
机译:虽然根据生物材料中的药物浓度的测定监测药物疗法肯定是个性化给药和剂量调节的重要仪器,但其作用受到它不反映药物动力学(PD)的影响和毒性动力学相互作用,例如由个人和环境相关因素引起的互动。然而,这些相互作用对于药物治疗的疗效和安全性很重要。因此,在近年来,在分子“生物标志物”的发展和临床实施反映的是药理作用的直接或替代标志物[Pd治疗药物监测(TDM)]的开发和临床实施,对个性化药物治疗有兴趣增加。此外,该过程是由仪器的新发展驱动,例如质谱和阵列技术,以及计算生物学/药理学,数据库和生物信息学。本期刊的焦点问题侧重于目前具有不同类别的PD TDM的现状和地位。对现有治疗药物监测问题的贡献提供了对TDM的当前实践的关键分析,其局限性引入了PD TDM领域的新有前途的生物标志物,讨论了将临床前工具转化为临床环境的临床前工具和点的挑战最近建立适用于药代动力学(PK)/ PD以及药物发生信息的建模方法的进展。

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