Predicting Drug-Drug Interactions: An FDA Perspective

被引:171
|
作者
Zhang, Lei [1 ]
Zhang, Yuanchao [1 ]
Zhao, Ping [1 ]
Huang, Shiew-Mei [1 ]
机构
[1] US FDA, Off Clin Pharmacol, Off Translat Sci, Ctr Drug Evaluat & Res, Silver Spring, MD 20993 USA
来源
AAPS JOURNAL | 2009年 / 11卷 / 02期
关键词
drug development; drug-drug interaction; new drug application; prediction; regulatory and guidance; IN-VITRO DATA; QUANTITATIVE PREDICTION; GENETIC-VARIATION; P-GLYCOPROTEIN; VIVO; PHARMACOKINETICS; INHIBITION; METABOLISM; KETOCONAZOLE; INACTIVATION;
D O I
10.1208/s12248-009-9106-3
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Pharmacokinetic drug interactions can lead to serious adverse events, and the evaluation of a new molecular entity's drug-drug interaction potential is an integral part of drug development and regulatory review prior to its market approval. Alteration of enzyme and/or transporter activities involved in the absorption, distribution, metabolism, or excretion of a new molecular entity by other concomitant drugs may lead to a change in exposure leading to altered response (safety or efficacy). Over the years, various in vitro methodologies have been developed to predict drug interaction potential in vivo. In vitro study has become a critical first step in the assessment of drug interactions. Well-executed in vitro studies can be used as a screening tool for the need for further in vivo assessment and can provide the basis for the design of subsequent in vivo drug interaction studies. Besides in vitro experiments, in silico modeling and simulation may also assist in the prediction of drug interactions. The recent FDA draft drug interaction guidance highlighted the in vitro models and criteria that may be used to guide further in vivo drug interaction studies and to construct informative labeling. This report summarizes critical elements in the in vitro evaluation of drug interaction potential during drug development and uses a case study to highlight the impact of in vitro information on drug labeling.
引用
收藏
页码:300 / 306
页数:7
相关论文
共 50 条
  • [1] Predicting Drug–Drug Interactions: An FDA Perspective
    Lei Zhang
    Yuanchao (Derek) Zhang
    Ping Zhao
    Shiew-Mei Huang
    The AAPS Journal, 2009, 11 : 300 - 306
  • [2] Predicting drug-drug interactions
    Tucker, GT
    DRUG METABOLISM REVIEWS, 2005, 37 : 5 - 5
  • [3] DRUG-DRUG INTERACTIONS IN PERSPECTIVE
    HANSTEN, PD
    NORTHWEST MEDICAL JOURNAL, 1974, 1 (03): : 43 - 45
  • [4] Predicting inductive drug-drug interactions
    Liddle, C
    Robertson, GR
    PHARMACOGENOMICS, 2003, 4 (02) : 141 - 152
  • [5] Aprepitant: drug-drug interactions in perspective
    Aapro, M. S.
    Walko, C. M.
    ANNALS OF ONCOLOGY, 2010, 21 (12) : 2316 - 2323
  • [6] Predicting Drug-Target Interactions Using Drug-Drug Interactions
    Kim, Shinhyuk
    Jin, Daeyong
    Lee, Hyunju
    PLOS ONE, 2013, 8 (11):
  • [7] Predicting drug-drug interactions:: In vitro veritas?
    Tucker, GT
    EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2004, 23 : S13 - S13
  • [8] Drug-drug interactions of silymarin on the perspective of pharmacokinetics
    Wu, Jhy-Wen
    Lin, Lie-Chwen
    Tsai, Tung-Hu
    JOURNAL OF ETHNOPHARMACOLOGY, 2009, 121 (02) : 185 - 193
  • [9] Therapeutic drug monitoring and drug-drug interactions: A pharmacoepidemiological perspective
    BalantGorgia, AE
    GexFabry, M
    Balant, LP
    THERAPIE, 1996, 51 (04): : 399 - 402
  • [10] A Model for Predicting the Interindividual Variability of Drug-Drug Interactions
    M. Tod
    L. Bourguignon
    N. Bleyzac
    S. Goutelle
    The AAPS Journal, 2017, 19 : 497 - 509