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Increased use of biomarkers has also been accompanied by modeling efforts to enable DDI predictions and development of multiplexed methods to facilitate their bioanalysis. Overall, there is consensus that exploratory biomarkers such as coproporphyrin I can be integrated into decision trees encompassing in vitro transporter inhibition data, DDI risk assessments, and follow-up Phase 1 studies. Therefore, sponsors can leverage biomarkers to evaluate dose-dependent inhibition of selected transporters, use them jointly with drug probes to deconvolute DDI mechanisms, and integrate in vitro data packages to establish calibrated (biomarker informed) DDI risk assessment cutoffs. Although transporter biomarker science has progressed, reflected by its inclusion in the recently issued International Council for Harmonisation DDI guidance document (M12), some biomarkers still require further validation. 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Similarly, biomarkers for liver organic cation transporter 1 (isobutyryl-l-carnitine, N = 7 inhibitors), renal organic cation transporter 2 and multidrug and toxin extrusion proteins (N<sup>1</sup>-methylnicotinamide, N = 13 inhibitors), renal organic anion transporter (OAT) 1 and 3 (pyridoxic acid, N = 7 inhibitors), and breast cancer resistance protein (riboflavin, N = 3 inhibitors) have also been described. Increased use of biomarkers has also been accompanied by modeling efforts to enable DDI predictions and development of multiplexed methods to facilitate their bioanalysis. Overall, there is consensus that exploratory biomarkers such as coproporphyrin I can be integrated into decision trees encompassing in vitro transporter inhibition data, DDI risk assessments, and follow-up Phase 1 studies. 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引用次数: 0
摘要
作为对各种描述临床使用尿液和血浆为基础的药物转运体生物标志物的出版物的叙述回顾的一部分,确定了对28种不同药物-药物相互作用(DDI)犯罪者药物的利用coproporphyrin I,一种肝脏有机阴离子转运多肽(OATP) 1B1和OATP1B3生物标志物的报道。同样,也描述了肝脏有机阳离子转运蛋白1(异丁基左肉碱,N = 7抑制剂)、肾脏有机阳离子转运蛋白2和多药和毒素挤出蛋白(n1 -甲基烟酰胺,N = 13抑制剂)、肾脏有机阴离子转运蛋白(OAT) 1和3(吡哆酸,N = 7抑制剂)和乳腺癌耐药蛋白(核黄素,N = 3抑制剂)的生物标志物。生物标志物的使用也随着建模工作的增加而增加,以实现DDI预测,并开发了多种方法来促进其生物分析。总的来说,人们一致认为探索性生物标志物如coproporphyrin I可以整合到决策树中,包括体外转运体抑制数据、DDI风险评估和后续的1期研究。因此,发起人可以利用生物标志物来评估选定转运体的剂量依赖性抑制,将它们与药物探针联合使用来解旋DDI机制,并整合体外数据包来建立校准(生物标志物知情)DDI风险评估截止点。尽管转运体生物标志物科学已经取得了进展,反映在最近发布的国际协调理事会DDI指导文件(M12)中,但一些生物标志物仍需要进一步验证。还需要能够区分特定转运蛋白的生物标志物(例如,OATP1B3 vs OATP1B1和OAT1 vs OAT3)。
Clinical Assessment of Drug Transporter Inhibition Using Biomarkers: Review of the Literature (2015-2024).
As part of a narrative review of various publications describing the clinical use of urine- and plasma-based drug transporter biomarkers, it was determined that the utilization of coproporphyrin I, a hepatic organic anion transporting polypeptide (OATP) 1B1 and OATP1B3 biomarker, has been reported for 28 different drug-drug interaction (DDI) perpetrator drugs. Similarly, biomarkers for liver organic cation transporter 1 (isobutyryl-l-carnitine, N = 7 inhibitors), renal organic cation transporter 2 and multidrug and toxin extrusion proteins (N1-methylnicotinamide, N = 13 inhibitors), renal organic anion transporter (OAT) 1 and 3 (pyridoxic acid, N = 7 inhibitors), and breast cancer resistance protein (riboflavin, N = 3 inhibitors) have also been described. Increased use of biomarkers has also been accompanied by modeling efforts to enable DDI predictions and development of multiplexed methods to facilitate their bioanalysis. Overall, there is consensus that exploratory biomarkers such as coproporphyrin I can be integrated into decision trees encompassing in vitro transporter inhibition data, DDI risk assessments, and follow-up Phase 1 studies. Therefore, sponsors can leverage biomarkers to evaluate dose-dependent inhibition of selected transporters, use them jointly with drug probes to deconvolute DDI mechanisms, and integrate in vitro data packages to establish calibrated (biomarker informed) DDI risk assessment cutoffs. Although transporter biomarker science has progressed, reflected by its inclusion in the recently issued International Council for Harmonisation DDI guidance document (M12), some biomarkers still require further validation. There is also a need for biomarkers that can differentiate specific transporters (e.g., OATP1B3 vs OATP1B1 and OAT1 vs OAT3).
期刊介绍:
The Journal of Clinical Pharmacology (JCP) is a Human Pharmacology journal designed to provide physicians, pharmacists, research scientists, regulatory scientists, drug developers and academic colleagues a forum to present research in all aspects of Clinical Pharmacology. This includes original research in pharmacokinetics, pharmacogenetics/pharmacogenomics, pharmacometrics, physiologic based pharmacokinetic modeling, drug interactions, therapeutic drug monitoring, regulatory sciences (including unique methods of data analysis), special population studies, drug development, pharmacovigilance, womens’ health, pediatric pharmacology, and pharmacodynamics. Additionally, JCP publishes review articles, commentaries and educational manuscripts. The Journal also serves as an instrument to disseminate Public Policy statements from the American College of Clinical Pharmacology.