文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

健康志愿者中一种未探索的草药-药物相互作用机制的定量预测与临床评估

Quantitative prediction and clinical evaluation of an unexplored herb-drug interaction mechanism in healthy volunteers.

作者信息

Gufford B T, Barr J T, González-Pérez V, Layton M E, White J R, Oberlies N H, Paine M F

机构信息

College of Pharmacy Washington State University Spokane, Washington USA.

College of Medical Sciences Washington State University Spokane, Washington USA.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2015 Dec;4(12):701-10. doi: 10.1002/psp4.12047. Epub 2015 Nov 28.


DOI:10.1002/psp4.12047
PMID:26904384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4759704/
Abstract

Quantitative prediction of herb-drug interaction risk remains challenging. A quantitative framework to assess a potential interaction was used to evaluate a mechanism not previously tested in humans. The semipurified milk thistle product, silibinin, was selected as an exemplar herbal product inhibitor of raloxifene intestinal glucuronidation. Physiologically based pharmacokinetic (PBPK) model simulations of the silibinin-raloxifene interaction predicted up to 30% increases in raloxifene area under the curve (AUC0-inf) and maximal concentration (Cmax). Model-informed clinical evaluation of the silibinin-raloxifene interaction indicated minimal clinical interaction liability, with observed geometric mean raloxifene AUC0-inf and Cmax ratios lying within the predefined no effect range (0.75-1.33). Further refinement of PBPK modeling and simulation approaches will enhance confidence in predictions and facilitate generalizability to additional herb-drug combinations. This quantitative framework can be used to develop guidances to evaluate potential herb-drug interactions prospectively, providing evidenced-based information about the risk or safety of these interactions.

摘要

草药与药物相互作用风险的定量预测仍然具有挑战性。一个用于评估潜在相互作用的定量框架被用来评估一种此前未在人体中测试过的机制。半纯化的水飞蓟产品水飞蓟宾被选为雷洛昔芬肠道葡萄糖醛酸化的典型草药产品抑制剂。水飞蓟宾与雷洛昔芬相互作用的基于生理的药代动力学(PBPK)模型模拟预测,雷洛昔芬曲线下面积(AUC0-inf)和最大浓度(Cmax)最多可增加30%。对水飞蓟宾与雷洛昔芬相互作用的模型指导临床评估表明,临床相互作用可能性极小,观察到的雷洛昔芬AUC0-inf和Cmax几何平均比值处于预先定义的无效应范围内(0.75 - 1.33)。进一步完善PBPK建模和模拟方法将增强预测的可信度,并促进其对其他草药 - 药物组合的通用性。这个定量框架可用于制定前瞻性评估潜在草药 - 药物相互作用的指南,提供有关这些相互作用风险或安全性的循证信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e42/4759704/46482c6ee5d3/PSP4-4-701-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e42/4759704/c2cd30e77007/PSP4-4-701-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e42/4759704/e6970888b33a/PSP4-4-701-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e42/4759704/55df3b633e82/PSP4-4-701-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e42/4759704/46482c6ee5d3/PSP4-4-701-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e42/4759704/c2cd30e77007/PSP4-4-701-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e42/4759704/e6970888b33a/PSP4-4-701-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e42/4759704/55df3b633e82/PSP4-4-701-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e42/4759704/46482c6ee5d3/PSP4-4-701-g004.jpg

相似文献

[1]
Quantitative prediction and clinical evaluation of an unexplored herb-drug interaction mechanism in healthy volunteers.

CPT Pharmacometrics Syst Pharmacol. 2015-12

[2]
Physiologically based pharmacokinetic modeling framework for quantitative prediction of an herb-drug interaction.

CPT Pharmacometrics Syst Pharmacol. 2014-3-26

[3]
Milk Thistle Constituents Inhibit Raloxifene Intestinal Glucuronidation: A Potential Clinically Relevant Natural Product-Drug Interaction.

Drug Metab Dispos. 2015-9

[4]
Semi-mechanistic physiologically-based pharmacokinetic modeling of clinical glibenclamide pharmacokinetics and drug-drug-interactions.

Eur J Pharm Sci. 2013-6-24

[5]
Herb-drug interactions: challenges and opportunities for improved predictions.

Drug Metab Dispos. 2013-12-11

[6]
Prediction of renal transporter mediated drug-drug interactions for pemetrexed using physiologically based pharmacokinetic modeling.

Drug Metab Dispos. 2015-3

[7]
A mechanistic physiologically based pharmacokinetic-enzyme turnover model involving both intestine and liver to predict CYP3A induction-mediated drug-drug interactions.

J Pharm Sci. 2013-6-11

[8]
PHRMA CPCDC initiative on predictive models of human pharmacokinetics, part 5: prediction of plasma concentration-time profiles in human by using the physiologically-based pharmacokinetic modeling approach.

J Pharm Sci. 2011-10

[9]
Evaluation of the pharmacokinetic interaction between repeated doses of rifapentine or rifampin and a single dose of bedaquiline in healthy adult subjects.

Antimicrob Agents Chemother. 2015-2

[10]
Application of permeability-limited physiologically-based pharmacokinetic models: part II - prediction of P-glycoprotein mediated drug-drug interactions with digoxin.

J Pharm Sci. 2013-5-19

引用本文的文献

[1]
Herb-drug interactions in oncology: pharmacodynamic/pharmacokinetic mechanisms and risk prediction.

Chin Med. 2025-7-7

[2]
Artificial Intelligence Models and Tools for the Assessment of Drug-Herb Interactions.

Pharmaceuticals (Basel). 2025-2-20

[3]
A new paradigm for drug discovery in the treatment of complex diseases: drug discovery and optimization.

Chin Med. 2025-3-24

[4]
Efflux and uptake transport and gut microbial reactivation of raloxifene glucuronides.

Basic Clin Pharmacol Toxicol. 2025-1

[5]
Physiologically Based Pharmacokinetic Modeling of Extracellular Vesicles.

Biology (Basel). 2023-8-29

[6]
Co-consuming green tea with raloxifene decreases raloxifene systemic exposure in healthy adult participants.

Clin Transl Sci. 2023-10

[7]
Utilization of Physiologically Based Pharmacokinetic Modeling in Pharmacokinetic Study of Natural Medicine: An Overview.

Molecules. 2022-12-8

[8]
Examination of the Impact of CYP3A4/5 on Drug-Drug Interaction between Schizandrol A/Schizandrol B and Tacrolimus (FK-506): A Physiologically Based Pharmacokinetic Modeling Approach.

Int J Mol Sci. 2022-4-19

[9]
Modeling Pharmacokinetic Natural Product-Drug Interactions for Decision-Making: A NaPDI Center Recommended Approach.

Pharmacol Rev. 2021-4

[10]
Potential for pharmacokinetic interactions between Schisandra sphenanthera and bosutinib, but not imatinib: in vitro metabolism study combined with a physiologically-based pharmacokinetic modelling approach.

Br J Clin Pharmacol. 2020-10

本文引用的文献

[1]
Milk Thistle Constituents Inhibit Raloxifene Intestinal Glucuronidation: A Potential Clinically Relevant Natural Product-Drug Interaction.

Drug Metab Dispos. 2015-9

[2]
Identification of diet-derived constituents as potent inhibitors of intestinal glucuronidation.

Drug Metab Dispos. 2014-10

[3]
Physiologically based pharmacokinetic modeling framework for quantitative prediction of an herb-drug interaction.

CPT Pharmacometrics Syst Pharmacol. 2014-3-26

[4]
Herb-drug interactions: challenges and opportunities for improved predictions.

Drug Metab Dispos. 2013-12-11

[5]
Mutual regioselective inhibition of human UGT1A1-mediated glucuronidation of four flavonoids.

Mol Pharm. 2013-7-17

[6]
Characterization of raloxifene glucuronidation: potential role of UGT1A8 genotype on raloxifene metabolism in vivo.

Cancer Prev Res (Phila). 2013-5-16

[7]
Silymarin for HCV infection.

Antivir Ther. 2013

[8]
Mechanisms underlying food-drug interactions: inhibition of intestinal metabolism and transport.

Pharmacol Ther. 2012-8-4

[9]
Effect of ginkgo biloba on the pharmacokinetics of raltegravir in healthy volunteers.

Antimicrob Agents Chemother. 2012-7-16

[10]
Effect of a herbal extract containing curcumin and piperine on midazolam, flurbiprofen and paracetamol (acetaminophen) pharmacokinetics in healthy volunteers.

Br J Clin Pharmacol. 2013-2

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索