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涉及细胞色素 P450 的复杂药物-药物-基因-疾病相互作用:已发表病例报告的系统评价和临床观点。

Complex Drug-Drug-Gene-Disease Interactions Involving Cytochromes P450: Systematic Review of Published Case Reports and Clinical Perspectives.

机构信息

Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, University of Geneva, Geneva, Switzerland.

Geneva-Lausanne School of Pharmacy, University of Geneva, Geneva, Switzerland.

出版信息

Clin Pharmacokinet. 2018 Oct;57(10):1267-1293. doi: 10.1007/s40262-018-0650-9.

Abstract

Drug pharmacokinetics (PK) is influenced by multiple intrinsic and extrinsic factors, among which concomitant medications are responsible for drug-drug interactions (DDIs) that may have a clinical relevance, resulting in adverse drug reactions or reduced efficacy. The addition of intrinsic factors affecting cytochromes P450 (CYPs) activity and/or expression, such as genetic polymorphisms and diseases, may potentiate the impact and clinical relevance of DDIs. In addition, greater variability in drug levels and exposures has been observed when such intrinsic factors are present in addition to concomitant medications perpetrating DDIs. This variability results in poor predictability of DDIs and potentially dramatic clinical consequences. The present review illustrates the issue of complex DDIs using systematically searched published case reports of DDIs involving genetic polymorphisms, renal impairment, cirrhosis, and/or inflammation. Current knowledge on the impact of each of these factors on drug exposure and DDIs is summarized and future perspectives for the management of such complex DDIs in clinical practice are discussed, including the use of advanced Computerized Physician Order Entry (CPOE) systems, the development of model-based dose optimization strategies, and the education of healthcare professionals with respect to personalized medicine.

摘要

药物药代动力学(PK)受到多种内在和外在因素的影响,其中伴随用药是导致药物-药物相互作用(DDI)的原因,这些相互作用可能具有临床相关性,导致不良反应或疗效降低。内在因素(如遗传多态性和疾病)影响细胞色素 P450(CYPs)活性和/或表达,可能会增强 DDI 的影响和临床相关性。此外,当伴随用药导致 DDI 之外还存在影响 CYPs 活性和/或表达的内在因素时,药物水平和暴露量的变异性更大。这种变异性导致 DDI 的预测性较差,可能产生显著的临床后果。本综述通过系统搜索涉及遗传多态性、肾功能损害、肝硬化和/或炎症的 DDI 发表的病例报告,说明了复杂 DDI 的问题。总结了这些因素对药物暴露和 DDI 的影响,并讨论了在临床实践中管理此类复杂 DDI 的未来展望,包括使用先进的计算机化医嘱输入(CPOE)系统、制定基于模型的剂量优化策略以及对医疗保健专业人员进行个性化医学教育。

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