Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (Y.S.L., J.D.U., A.E.R., D.D.S., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.J., V.G.-P., D.-D.T., M.F.P.); Department of Pharmaceutics (Y.S.L., J.D.U., D.D.S., J.S.M.) and Department of Medicinal Chemistry (A.E.R.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.).
Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (Y.S.L., J.D.U., A.E.R., D.D.S., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.J., V.G.-P., D.-D.T., M.F.P.); Department of Pharmaceutics (Y.S.L., J.D.U., D.D.S., J.S.M.) and Department of Medicinal Chemistry (A.E.R.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.)
Drug Metab Dispos. 2018 Jul;46(7):1046-1052. doi: 10.1124/dmd.118.081273. Epub 2018 May 7.
Pharmacokinetic interactions between natural products (NPs) and conventional medications (prescription and nonprescription) are a longstanding but understudied problem in contemporary pharmacotherapy. Consequently, there are no established methods for selecting and prioritizing commercially available NPs to evaluate as precipitants of NP-drug interactions (NPDIs). As such, NPDI discovery remains largely a retrospective, bedside-to-bench process. This Recommended Approach, developed by the Center of Excellence for Natural Product Drug Interaction Research (NaPDI Center), describes a systematic method for selecting NPs to evaluate as precipitants of potential clinically significant pharmacokinetic NPDIs. Guided information-gathering tools were used to score, rank, and triage NPs from an initial list of 47 candidates. Triaging was based on the presence and/or absence of an NPDI identified in a clinical study (≥20% or <20% change in the object drug area under the concentration vs. time curve, respectively), as well as mechanistic and descriptive in vitro and clinical data. A qualitative decision-making tool, termed the fulcrum model, was developed and applied to 11 high-priority NPs for rigorous study of NPDI risk. Application of this approach produced a final list of five high-priority NPs, four of which are currently under investigation by the NaPDI Center.
天然产物( NPs )与传统药物(处方药和非处方药)之间的药代动力学相互作用是当代药物治疗中长期存在但研究不足的问题。因此,目前尚无确定的方法来选择和优先考虑市售 NPs ,以评估其是否为 NP-药物相互作用( NPDI )的促成因素。因此,NPDI 的发现在很大程度上仍然是一种回顾性的、从床边到临床的过程。该推荐方法由天然产物药物相互作用研究卓越中心( NaPDI 中心)开发,描述了一种系统的方法,用于选择 NPs 来评估其是否为潜在临床相关药代动力学 NPDI 的促成因素。使用指导性信息收集工具对最初的 47 种候选物进行评分、排序和分诊。分诊基于临床研究中是否存在(分别为对象药物浓度-时间曲线下面积的≥20%或<20%变化)以及体外和临床的机制和描述性数据。开发并应用了一种称为枢轴模型的定性决策工具,对 11 种高优先级 NPs 进行了 NPDI 风险的严格研究。应用该方法产生了最终的 5 种高优先级 NPs 列表,其中 4 种目前正在由 NaPDI 中心进行研究。