Prediction of herb-drug interactions involving consumption of furanocoumarin-mix...
연구 요약
Prediction of herb-drug interactions involving consumption of furanocoumarin-mixtures and cytochrome P450 1A2-mediated caffeine metabolism inhibition in humans.
Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society 학술지에 발표된 이 연구는 Alehaideb Z 외 연구팀이 수행하였습니다.
이 연구는 'Prediction of herb-drug interactions involving consumption of furanocoumarin-mixtures and cytochrome P450 1A2-mediated caffeine metabolism inhibition in humans.'에 대한 과학적 분석을 제공합니다.
핵심 내용
Herb-drug interactions (HDI) has become important due to the increasing popularity of natural health product consumption worldwide. HDI is difficult to predict as botanical drugs usually contain complex phytochemical-mixtures, which interact with drug metabolism. Currently, there is no specific pharmacological tool to predict HDI since almost all in vitro-in vivo-extrapolation (IVIVE) Drug-Drug Interaction (DDI) models deal with one inhibitor-drug and one victim-drug. The objectives were to modify-two IVIVE models for the prediction of in vivo interaction between caffeine and furanocoumarin-containing herbs, and to confirm model predictions by comparing the DDI predictive results with actual human data. The models were modified to predict in vivo herb-caffeine interaction using the same set of inhibition constants but different integrated dose/concentration of furanocoumarin mixtures in the liver. Different hepatic inlet inhibitor concentration ([I]H) surrogates were used for each furanocoumarin. In the first (hybrid) model, the [I]H was predicted using the concentration-addition model for chemical-mixtures. In the second model, the [I]H was calculated by adding individual furanocoumarins together. Once [I]H values were determined, the models predicted an area-under-curve-ratio (AUCR) value of each interaction. The results indicate that both models were able to predict the experimental AUCR of herbal products reasonably well. The DDI model approaches described in this study may be applicable to health supplements and functional foods also.
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의사/약사의 전문적 판단을 대체하지 않습니다 (PMID: 37026048)
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