ADME Sciences, Medicine Design, Worldwide Research & Development, Pfizer Inc., Groton, Connecticut (D.R.) and College of Medicine and Public Health, Flinders University, Adelaide, Australia (A.R.)
ADME Sciences, Medicine Design, Worldwide Research & Development, Pfizer Inc., Groton, Connecticut (D.R.) and College of Medicine and Public Health, Flinders University, Adelaide, Australia (A.R.).
J Pharmacol Exp Ther. 2020 Mar;372(3):308-319. doi: 10.1124/jpet.119.262972. Epub 2019 Dec 26.
Within the drug pharmacokinetics (PK)-absorption, distribution, metabolism, and excretion (ADME) research community, investigators regularly generate in vitro data sets using appropriately vendor-sourced and processed human tissue. Such data enable drug screening, the generation of kinetic parameters, extrapolation of in vitro to in vivo, as well as the modeling and simulation of drug PK. Although there are large numbers of manuscripts describing studies with deceased organ donor tissue, relatively few investigators have published studies utilizing living donor tissue biopsy samples. After a review of the available literature, it was possible to find publications describing the use of tissue biopsy samples to determine enzyme inhibition ex vivo, the study of genotype-phenotype associations, the evaluation of tissue expression profiling following an inducer, and assessment of correlations between tissue expression profiles and in vivo-derived trait measures (e.g., biomarker plasma levels and probe drug PK). Some reports described multiple single-tissue biopsies, whereas others described single multiple-organ biopsies. It is concluded that biopsy-derived data can support modeling exercises (as input data and when validating models) and enable the assessment of organ-specific changes in enzyme and transporter profiles resulting from drug interactions, disease (e.g., metabolic disease, fibrosis, inflammation, cancer, infection), age, pregnancy, organ impairment, and genotype. With the emergence of multiorgan axes (e.g., microbiome-gut-liver-kidney) and interest in remote sensing (interorgan communication), it is envisioned that there will be increased demand for single- and multiorgan tissue biopsy data to support hypothesis testing and PK-ADME model building. SIGNIFICANCE STATEMENT: Based on a review of the literature, it is apparent that profiling of human tissue biopsy samples is useful in support of pharmacokinetics (PK)-absorption, distribution, metabolism, and excretion (ADME)-related studies. With conventional tissue biopsy as precedent, it is envisioned that researchers will turn to less invasive "liquid biopsy" methods in support of ADME-related studies (e.g., profiling of plasma-derived tissue-specific nanovesicles). Generation of such multiorgan liquid biopsy data in larger numbers of subjects and at multiple study time points will provide a rich data set for modeling purposes.
在药物药代动力学(PK)-吸收、分布、代谢和排泄(ADME)研究领域,研究人员经常使用来自合适供应商的处理过的人体组织生成体外数据集。这些数据可用于药物筛选、动力学参数的生成、体外向体内的推断,以及药物 PK 的建模和模拟。尽管有大量描述使用已故器官捐献者组织的研究的文献,但相对较少的研究人员发表了使用活体供体组织活检样本的研究。在对现有文献进行回顾后,发现有描述使用组织活检样本来确定体外酶抑制作用、研究基因型-表型相关性、评估诱导后组织表达谱以及评估组织表达谱与体内衍生特征测量值(例如生物标志物血浆水平和探针药物 PK)之间相关性的出版物。一些报告描述了多个单一组织活检,而另一些则描述了单一的多个器官活检。结论是,活检衍生数据可以支持建模练习(作为输入数据和验证模型),并能够评估药物相互作用、疾病(例如代谢疾病、纤维化、炎症、癌症、感染)、年龄、妊娠、器官损伤和基因型引起的酶和转运体谱的器官特异性变化。随着多器官轴(例如,微生物群-肠道-肝脏-肾脏)的出现和对远程传感(器官间通讯)的兴趣增加,预计将需要更多的单一和多器官组织活检数据来支持假设检验和 PK-ADME 模型构建。意义陈述:根据文献回顾,显然,对人体组织活检样本的分析有助于支持与药代动力学(PK)-吸收、分布、代谢和排泄(ADME)相关的研究。以常规组织活检为先例,可以预见研究人员将转向侵入性较小的“液体活检”方法来支持 ADME 相关研究(例如,对源自血浆的组织特异性纳米囊泡进行分析)。在更多的研究对象和多个研究时间点生成此类多器官液体活检数据将为建模目的提供丰富的数据集。