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Method for predicting the risk of drug-drug interactions involving inhibition of intestinal CYP3A4 and P-glycoprotein
被引:59
作者:
Tachibana, T.
[1
]
Kato, M.
[1
]
Watanabe, T.
[2
]
Mitsui, T.
[1
]
Sugiyama, Y.
[2
]
机构:
[1] Chugai Pharmaceut Co Ltd, Preclin Res Dept, Shizuoka 4128513, Japan
[2] Univ Tokyo, Grad Sch Pharmaceut Sci, Bunkyo Ku, Tokyo, Japan
来源:
关键词:
CYP3A4;
P-glycoprotein;
drug-drug interaction;
intestine;
absorption;
human;
RENAL-TRANSPLANT RECIPIENTS;
IN-VIVO PROBE;
SYSTEMIC ANTIMYCOTICS KETOCONAZOLE;
ERYTHROMYCIN BREATH TEST;
HUMAN LIVER-MICROSOMES;
HIV-INFECTED PATIENTS;
ORAL MIDAZOLAM;
PHARMACOKINETIC INTERACTION;
PLASMA-CONCENTRATIONS;
CYTOCHROME-P450;
3A;
D O I:
10.1080/00498250902846252
中图分类号:
R9 [药学];
学科分类号:
1007 ;
摘要:
1. To develop a method to predict the risk of drug-drug interactions involving the inhibition of intestinal CYP3A4 or P-glycoprotein, data from clinical drug-drug interaction studies of CYP3A4 and/or P-glycoprotein substrates were analysed. The ratio of inhibitor dose (Dosed to inhibition constant termed the drug-interaction number, was used to index intestinal drug-drug interaction. 2. From the analysis, it was found that (1) CYP3A4 inhibitors with a drug-interaction number below 2.8 L have a low risk of interacting with substrates which exhibit intestinal first-pass metabolism and those with a drug-interaction number above 9.4 L have a high risk; (2) P-glycoprotein inhibitors with a drug-interaction number below 10.8 L have a low risk of interacting with P-glycoprotein substrates and those with a drug-interaction number above 27.9 L have a high risk; and (3) the drug-interaction number indexes, 2.8 L and 9.4 L for CYP3A4 and 10.8 L and 27.9 L for P-glycoprotein were validated by data from dual CYP3A4/P-glycoprotein substrates. 3. In conclusion, the drug-interaction number is useful for classifying the risk of drug-drug interactions involving the inhibition of intestinal CYP3A4 and P-glycoprotein. This drug-interaction number-based approach is similar to the method that the US Food and Drug Administration (USFDA) recently proposed in the draft guidance for predicting P-glycoprotein-mediated drug-drug interaction.
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页码:430 / 443
页数:14
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