Rationalization and prediction of in vivo metabolite exposures: the role of metabolite kinetics, clearance predictions and in vitro parameters
- PMID: 20557268
- PMCID: PMC2923241
- DOI: 10.1517/17425255.2010.497487
Rationalization and prediction of in vivo metabolite exposures: the role of metabolite kinetics, clearance predictions and in vitro parameters
Abstract
Importance of the field: Due to growing concerns over toxic or active metabolites, significant efforts have been focused on qualitative identification of potential in vivo metabolites from in vitro data. However, limited tools are available to quantitatively predict their human exposures.
Areas covered in this review: Theory of clearance predictions and metabolite kinetics is reviewed together with supporting experimental data. In vitro and in vivo data of known circulating metabolites and their parent drugs were collected and the predictions of in vivo exposures of the metabolites were evaluated.
What the reader will gain: The theory and data reviewed will be useful in early identification of human metabolites that will circulate at significant levels in vivo and help in designing in vivo studies that focus on characterization of metabolites. It will also assist in rationalization of metabolite-to-parent ratios used as markers of specific enzyme activity.
Take home message: The relative importance of a metabolite in comparison to the parent compound as well as other metabolites in vivo can only be predicted using the metabolite's in vitro formation and elimination clearances, and the in vivo disposition of a metabolite can only be rationalized when the elimination pathways of that metabolite are known.
Figures


Similar articles
-
Prediction of relative in vivo metabolite exposure from in vitro data using two model drugs: dextromethorphan and omeprazole.Drug Metab Dispos. 2012 Jan;40(1):159-68. doi: 10.1124/dmd.111.042200. Epub 2011 Oct 18. Drug Metab Dispos. 2012. PMID: 22010218 Free PMC article.
-
Mechanistic Modeling to Predict Midazolam Metabolite Exposure from In Vitro Data.Drug Metab Dispos. 2016 May;44(5):781-91. doi: 10.1124/dmd.115.068601. Epub 2016 Mar 8. Drug Metab Dispos. 2016. PMID: 26956641
-
Utility of Common In Vitro Systems for Predicting Circulating Metabolites.Drug Metab Dispos. 2024 Nov 15;52(12):1373-1378. doi: 10.1124/dmd.124.001732. Drug Metab Dispos. 2024. PMID: 39433437
-
Use of intrinsic clearance for prediction of human hepatic clearance.Expert Opin Drug Metab Toxicol. 2010 Feb;6(2):189-98. doi: 10.1517/17425250903405622. Expert Opin Drug Metab Toxicol. 2010. PMID: 20073997 Review.
-
From known knowns to known unknowns: predicting in vivo drug metabolites.Bioanalysis. 2009 May;1(2):393-414. doi: 10.4155/bio.09.32. Bioanalysis. 2009. PMID: 21083174 Review.
Cited by
-
Minimal Physiologically Based Pharmacokinetic Model of Intravenously and Orally Administered Delta-9-Tetrahydrocannabinol in Healthy Volunteers.Eur J Drug Metab Pharmacokinet. 2019 Oct;44(5):691-711. doi: 10.1007/s13318-019-00559-7. Eur J Drug Metab Pharmacokinet. 2019. PMID: 31114948
-
The effect of cannabidiol on the pharmacokinetics of carbamazepine in rats.Naunyn Schmiedebergs Arch Pharmacol. 2020 Oct;393(10):1871-1886. doi: 10.1007/s00210-020-01878-2. Epub 2020 May 19. Naunyn Schmiedebergs Arch Pharmacol. 2020. PMID: 32424477
-
Prediction of relative in vivo metabolite exposure from in vitro data using two model drugs: dextromethorphan and omeprazole.Drug Metab Dispos. 2012 Jan;40(1):159-68. doi: 10.1124/dmd.111.042200. Epub 2011 Oct 18. Drug Metab Dispos. 2012. PMID: 22010218 Free PMC article.
-
The effect of grape seed and green tea extracts on the pharmacokinetics of imatinib and its main metabolite, N-desmethyl imatinib, in rats.BMC Pharmacol Toxicol. 2020 Nov 16;21(1):77. doi: 10.1186/s40360-020-00456-9. BMC Pharmacol Toxicol. 2020. PMID: 33198812 Free PMC article.
-
Simultaneous separation of naproxen and 6-O-desmethylnaproxen metabolite in saliva samples by liquid chromatography-tandem mass spectrometry: Pharmacokinetic study of naproxen alone and associated with esomeprazol-Results.PLoS One. 2022 Dec 1;17(12):e0278411. doi: 10.1371/journal.pone.0278411. eCollection 2022. PLoS One. 2022. PMID: 36454922 Free PMC article.
References
-
- Riss J, Cloyd J, Gates J, et al. Benzodiazepines in epilepsy: pharmacology and pharmacokinetics. Acta Neurol Scand. 2008;118(2):69–86. - PubMed
-
- Akiyoshi J, Isogawa K, Yamada K, et al. Effects of antidepressants on intracellular Ca2+ mobilization in CHO cells transfected with the human 5-HT2C receptors. Biol Psychiatry. 1996;39(12):1000–1008. - PubMed
-
- Rambeck B, Sälke-Treumann A, May T, et al. Valproic acid-induced carbamazepine-10,11-epoxide toxicity in children and adolescents. Eur Neurol. 1990;30(2):79–83. - PubMed
-
- Ho PC, Abbott FS, Zanger UM, et al. Influence of CYP2C9 genotypes on the formation of a hepatotoxic metabolite of valproic acid in human liver microsomes. Pharmacogen J. 2003;3:335–342. - PubMed
-
- Bauman JN, Frederick KS, Sawant A, et al. comparison of the bioactivation potential of the antidepressant and hepatotoxin nefazodone with aripiprazole, a structural analog and marketed drug. Drug Metab Dispos. 2008;36(6):1016–1029. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials