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Drug metabolites as cytochrome P450 inhibitors: A retrospective analysis and proposed algorithm for evaluation of the pharmacokinetic interaction potential of metabolites in drug discovery and development

机译:药物代谢物作为细胞色素P450抑制剂:回顾性分析和拟议算法,用于评估代谢物在药物发现和开发中的药代动力学相互作用潜能

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Understanding drug-drug interactions (DDIs) is a key component of clinical practice ensuring patient safety and efficacy of medicines. The role of drug metabolites in DDIs is a developing area of science, and has been recently highlighted in a draft regulatory guidance. The guidance states that metabolites representing ≥25% of the parent drug's area under the plasma concentration/time curve and/or >10% of exposure of total drug-related material should trigger in vitro characterization of metabolites for cytochrome P450 inhibition and propensity for DDIs. The relationship between in vitro cytochrome P450 inhibitory potency, systemic exposure, and DDI potential of drug metabolites was examined using the Pfizer development database to identify compounds with pre-existing in vivo biotransformation data, where circulating metabolites were identified in humans. The database yielded 33 structurally diverse compounds with collectively 115 distinct circulating metabolites. Of these, 52% (60/115) achieved exposures >25% of parent drug levels as judged from mass balance/metabolite identification studies. It was noted that 14 metabolite standards for 12 parent drugs had been synthesized, monitored in clinical studies, and examined for cytochrome P450 inhibition. For the 14 metabolite/parent drug pairs, no clinically relevant DDIs were expected to occur against the major human cytochrome P450 isoforms. A review of the literature for parent/metabolite DDI information was also conducted to examine trends using a larger data set. Leveraging the analysis of both internal and literature-based data sets, an algorithm was devised for use in drug discovery/early development to assess cytochrome P450 inhibitory potential of drug metabolites and the propensity to cause a clinically relevant DDI.
机译:了解药物相互作用(DDI)是确保患者安全和药物有效性的临床实践的关键组成部分。药物代谢产物在DDI中的作用是科学的发展领域,最近在法规指南草案中得到了强调。指南指出,在血浆浓度/时间曲线下,代表≥25%母体药物面积的代谢物和/或>与全部药物相关物质接触的> 10%的代谢物应触发代谢物的细胞色素P450抑制和DDI倾向的体外表征。使用辉瑞(Pfizer)开发数据库检查了体外细胞色素P450抑制效能,全身暴露与药物代谢产物DDI潜力之间的关系,以鉴定具有预先存在的体内生物转化数据的化合物,从而在人体中鉴定出循环代谢物。该数据库产生了33种结构多样的化合物,共有115种不同的循环代谢产物。根据质量平衡/代谢物鉴定研究判断,其中52%(60/115)的暴露量超过母体药物水平的25%。注意到已经合成了用于12种母体药物的14种代谢物标准品,在临床研究中进行了监测,并检查了细胞色素P450的抑制作用。对于14种代谢物/母体药物对,预期不会针对主要的人类细胞色素P450亚型发生临床相关的DDI。还对父/代谢DDI信息的文献进行了综述,以使用更大的数据集检查趋势。利用对内部和基于文献的数据集的分析,设计了一种算法用于药物发现/早期开发,以评估药物代谢产物对细胞色素P450的抑制潜力以及引起临床相关DDI的倾向。

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