Prediction of variability in CYP3A4 induction using a combined H-1 NMR metabonomics and targeted UPLC-MS approach

Rahmioglu, Nilufer, Le Gall, Gwenaelle ORCID: https://orcid.org/0000-0002-1379-2196, Heaton, James, Kay, Kristine L., Smith, Norman W., Colquhoun, Ian J., Ahmadi, Kourosh R. and Kemsley, E. Kate ORCID: https://orcid.org/0000-0003-0669-3883 (2011) Prediction of variability in CYP3A4 induction using a combined H-1 NMR metabonomics and targeted UPLC-MS approach. Journal of Proteome Research, 10 (6). pp. 2807-2816. ISSN 1535-3893

Full text not available from this repository. (Request a copy)

Abstract

The activity of Cytochrome P450 3A4 (CYP3A4) enzyme is associated with many adverse or poor therapeutic responses to drugs. We used H-1 NMR-based metabonomics to identify a metabolic signature associated with variation in induced CYP3A4 activity. A total of 301 female twins, aged 45-84, participated in this study. Each volunteer was administered a potent inducer of CYP3A4 (St. John's Wort) for 14 days and the activity of CYP3A4 was quantified through the metabolism of the exogenously administered probe drug quinine sulfate (300 mg). Pre- and postintervention fasting urine samples were used to obtain metabolite profiles, using H-1 NMR spectroscopy, and were analyzed using UPLC-MS to obtain a marker for CYP3A4 induction, via the ratio of 3-hydroxyquinine to quinine (3OH-Q:Q). Multiple linear regression was used to build a predictive model for 3OH-Q:Q values based on the preintervention metabolite profiles. A combination of seven metabolites and seven covariates showed a strong (r = 0.62) relationship with log(3OH-Q:Q). This regression model demonstrated significant (p <0.00001) predictive ability when applied to an independent validation set. Our results highlight the promise of metabonomics for predicting CYP3A4-mediated drug response.

Item Type:	Article
Uncontrolled Keywords:	metabonomics,drug metabolism,personalized medicine,cytochrome p450,urine,h-1 nmr,human urine,pharmaco-metabonomics,pattern-recognition,metabolites,spectroscopy,enzymes,cytochrome-p450,identification,microbiome,inhibition,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School:	Faculty of Science > School of Chemistry
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health
Depositing User:	LivePure Connector
Date Deposited:	20 Jul 2018 15:33
Last Modified:	19 Oct 2023 02:14
URI:	https://ueaeprints.uea.ac.uk/id/eprint/67732
DOI:	10.1021/pr200077n

Actions (login required)

View Item