Established HPLC fraction analysis to predict furanocoumarin-based herb-drug metabolic interactions

Ming Thau Sheu, Ying Ku Lin, Chia Hui Huang, Hsiu O. Ho

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

An attempt was made in this study to predict the potential for metabolic interactions of herbal extracts of drugs from their chromatographic profiles in reverse-phase high-performance liquid chromatography (RP-HPLC). Twenty-nine structurally related furanocoumarin compounds with known inhibitory interactions with cytochrome P450 3A (CYP3A), which is important for phase-I drug metabolism, were selected as a model system. A sigmoidal relationship was established between the CYP3A inhibitory potency (y) and the RP-HPLC total peak response unit (Ru, x) as y = 85.36 x (14.86 + x)-1 with a correlation coefficient of 0.63. The sigmoidal curve could be divided into three ranges designated low, medium and high risk that were used to indicate the relative inhibitory potency of the metabolic interactions of herbs or traditional Chinese herb medicines with CYP3A. These predictive classifications provide information or might be useful for 'risk category' decisions concerning herb-drug interactions.

Original languageEnglish
Pages (from-to)865-877
Number of pages13
JournalPhytotherapy Research
Volume26
Issue number6
DOIs
Publication statusPublished - Jun 2012

Keywords

  • chromatographic analysis
  • CYP3A
  • furanocoumarins
  • herb-drug interactions
  • metabolic interactions

ASJC Scopus subject areas

  • Pharmacology

Fingerprint

Dive into the research topics of 'Established HPLC fraction analysis to predict furanocoumarin-based herb-drug metabolic interactions'. Together they form a unique fingerprint.

Cite this