Publication

Physiology-based IVIVE predictions of tramadol from in vitro metabolism data

T'jollyn, H., Snoeys, J., Colin, P., Van Bocxlaer, J., Annaert, P., Cuyckens, F., Vermeulen, A., Van Peer, A., Allegaert, K., Mannens, G. & Boussery, K., Jan-2015, In : Pharmaceutical Research. 32, 1, p. 260-74 15 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • Huybrecht T'jollyn
  • Jan Snoeys
  • Pieter Colin
  • Jan Van Bocxlaer
  • Pieter Annaert
  • Filip Cuyckens
  • An Vermeulen
  • Achiel Van Peer
  • Karel Allegaert
  • Geert Mannens
  • Koen Boussery

PURPOSE: To predict the tramadol in vivo pharmacokinetics in adults by using in vitro metabolism data and an in vitro-in vivo extrapolation (IVIVE)-linked physiologically-based pharmacokinetic (PBPK) modeling and simulation approach (Simcyp®).

METHODS: Tramadol metabolism data was gathered using metabolite formation in human liver microsomes (HLM) and recombinant enzyme systems (rCYP). Hepatic intrinsic clearance (CLintH) was (i) estimated from HLM corrected for specific CYP450 contributions from a chemical inhibition assay (model 1); (ii) obtained in rCYP and corrected for specific CYP450 contributions by study-specific intersystem extrapolation factor (ISEF) values (model 2); and (iii) scaled back from in vivo observed clearance values (model 3). The model-predicted clearances of these three models were evaluated against observed clearance values in terms of relative difference of their geometric means, the fold difference of their coefficients of variation, and relative CYP2D6 contribution.

RESULTS: Model 1 underpredicted, while model 2 overpredicted the total tramadol clearance by -27 and +22%, respectively. The CYP2D6 contribution was underestimated in both models 1 and 2. Also, the variability on the clearance of those models was slightly underpredicted. Additionally, blood-to-plasma ratio and hepatic uptake factor were identified as most influential factors in the prediction of the hepatic clearance using a sensitivity analysis.

CONCLUSION: IVIVE-PBPK proved to be a useful tool in combining tramadol's low turnover in vitro metabolism data with system-specific physiological information to come up with reliable PK predictions in adults.

Original languageEnglish
Pages (from-to)260-74
Number of pages15
JournalPharmaceutical Research
Volume32
Issue number1
Publication statusPublished - Jan-2015
Externally publishedYes

    Keywords

  • Analgesics, Opioid, Computer Simulation, Cytochrome P-450 Enzyme System, Humans, In Vitro Techniques, Metabolic Clearance Rate, Microsomes, Liver, Models, Biological, Predictive Value of Tests, Recombinant Proteins, Tissue Distribution, Tramadol

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