Skip to main content
Log in

A Population Pharmacokinetic Model for Low-Dose Methotrexate and its Polyglutamated Metabolites in Red Blood Cells

Clinical Pharmacokinetics Aims and scope Submit manuscript

Abstract

Background

Measurement of intracellular concentrations of methotrexate (MTX) and its polyglutamated metabolites (MTXGlu2–5) in red blood cells (RBCs) has been suggested as a potential means of monitoring low-dose MTX treatment of rheumatoid arthritis (RA). However, a possible correlation between RBC MTX and MTXGlu2–5 concentrations and clinical outcomes of MTX treatment in RA is debated. A better understanding of the dose-concentration–time relationship of MTX and MTXGlu2–5 in RBCs by population pharmacokinetic modelling is desirable and will facilitate assessing a potential RBC concentration–effect relationship in the future.

Aim

The purpose of this analysis was to describe the pharmacokinetics of MTX and MTXGlu2–5 in RBCs. Secondary objectives included investigation of deglutamation reactions and the loss of MTX and MTXGlu2–5 from the RBC.

Methods

A model was developed using NONMEM® version 7.2 based on RBC data obtained from 48 patients with RA receiving once-weekly low-dose MTX treatment. This model was linked to a fixed two-compartment model that was used to describe the pharmacokinetics of MTX in the plasma. A series of five compartments were used to describe the intracellular pharmacokinetics of MTX and MTXGlu2–5 in RBCs. Biologically plausible covariates were tested for a significant effect on MTX plasma clearance and the intracellular volume of distribution of all MTX species in RBCs (\({V}_{\text{Glu}_{1-5}}\)). The developed model was used to test hypotheses related to the enzymatic deglutamation of MTXGlu2–5 and potential loss of MTXGlu2–5 from RBCs.

Results

The final RBC pharmacokinetic model required the intracellular volumes of distribution for the parent and metabolites to be set to the value estimated for the parent drug MTX alone, and the rate constants describing the polyglutamation steps were fixed at literature values. Significant covariates included effect of body surface area-adjusted estimated glomerular filtration rate on renal plasma clearance and effect of allometrically scaled total body weight with a fixed exponent of 0.75 on non-renal plasma clearance of MTX. The only significant covariate with an effect on \({V}_{\text{Glu}_{1-5}}\) was mean corpuscular volume (MCV). The model supported single deglutamation steps and a single mechanism of MTX and MTXGlu2–5 loss from RBCs.

Conclusions

The developed model enabled acceptable description of the intracellular kinetics of MTX and MTXGlu2–5 in RBCs. In the future it can form the basis of a full pharmacokinetic–pharmacodynamic model to assess the time–RBC concentration–effect relationship of low-dose MTX treatment in RA.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (France)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  1. Morgan C, Lunt M, Brightwell H, et al. Contribution of patient related differences to multidrug resistance in rheumatoid arthritis. Ann Rheum Dis. 2003;62(1):15–9.

    Article  PubMed  CAS  Google Scholar 

  2. Angelis-Stoforidis P, Vajda F, Christophidis N. Methotrexate polyglutamate levels in circulating erythrocytes and polymorphs correlate with clinical efficacy in rheumatoid arthritis. Clin Exp Rheumatol. 1999;17(3):313–20.

    PubMed  CAS  Google Scholar 

  3. Dervieux T, Furst D, Lein D, et al. Polyglutamation of methotrexate with common polymorphisms in reduced folate carrier, aminoimidazole carboxamide ribonucleotide transformylase, and thymidylate synthase are associated with methotrexate effects in rheumatoid arthritis. Arthritis Rheum. 2004;50(9):2766–74.

    Article  PubMed  CAS  Google Scholar 

  4. Volk EL, Schneider E. Wild-type breast cancer resistance protein (BCRP/ABCG2) is a methotrexate polyglutamate transporter. Cancer Res. 2003;63(17):5538–43.

    PubMed  CAS  Google Scholar 

  5. Zeng H, Chen Z, Belinsky M, et al. Transport of methotrexate (MTX) and folates by multidrug resistance protein (MRP) 3 and MRP1. Cancer Res. 2001;61(19):7225–32.

    PubMed  CAS  Google Scholar 

  6. Allegra C, Chabner B, Drake J, et al. Enhanced inhibition of thymidylate synthase by methotrexate polyglutamates. J Biol Chem. 1985;260(17):9720–6.

    PubMed  CAS  Google Scholar 

  7. Chabner B, Allegra C, Curt G, et al. Polyglutamation of methotrexate. Is methotrexate a prodrug? J Clin Investig. 1985;76(3):907–12.

    Article  PubMed  CAS  Google Scholar 

  8. Dervieux T, Furst D, Lein D, et al. Pharmacogenetic and metabolite measurements are associated with clinical status in patients with rheumatoid arthritis treated with methotrexate: results of a multicentered cross sectional observational study. Ann Rheum Dis. 2005;64(8):1180–5.

    Article  PubMed  CAS  Google Scholar 

  9. Stamp L, O’Donnell J, Chapman P, et al. Methotrexate polyglutamate concentrations are not associated with disease control in rheumatoid arthritis patients receiving long-term methotrexate therapy. Arthritis Rheum. 2010;62(2):359–68.

    Article  PubMed  CAS  Google Scholar 

  10. Dalrymple J, Stamp L, O’Donnell J, et al. Pharmacokinetics of oral methotrexate in patients with rheumatoid arthritis. Arthritis Rheum. 2008;58(11):3299–308.

    Article  PubMed  CAS  Google Scholar 

  11. Stamp L, Barclay M, O’Donnell J, et al. Effects of changing from oral to subcutaneous methotrexate on red blood cell methotrexate polyglutamate concentrations and disease activity in patients with rheumatoid arthritis. J Rheumatol. 2011;38(12):2540–7.

    Article  PubMed  CAS  Google Scholar 

  12. Beal S. Ways to fit a PK model with some data below the quantification limit. J Pharmacokinet Pharmacodyn. 2001;28(5):481–504.

    Article  PubMed  CAS  Google Scholar 

  13. Hoekstra M, Haagsma C, Neef C, et al. Bioavailability of higher dose methotrexate comparing oral and subcutaneous administration in patients with rheumatoid arthritis. J Rheumatol. 2004;31(4):645–8.

    PubMed  CAS  Google Scholar 

  14. Herman R, Veng Pedersen P, Hoffman J, et al. Pharmacokinetics of low dose methotrexate in rheumatoid arthritis patients. J Pharm Sci. 1989;78(2):165–71.

    Article  PubMed  CAS  Google Scholar 

  15. Rhee M, Lindau-Shepard B, Chave K, et al. Characterization of human cellular gamma-glutamyl hydrolase. Mol Pharmacol. 1998;53(6):1040–6.

    PubMed  CAS  Google Scholar 

  16. Janmahasatian S, Duffull S, Ash S, et al. Quantification of lean bodyweight. Clin Pharmacokinet. 2005;44(10):1051–65.

    Article  PubMed  Google Scholar 

  17. Hardman J, Limbird L, editors. Goodman and Gilman’s: the pharmacological basis of therapeutics. 10th ed. New York: McGraw–Hill; 2001.

    Google Scholar 

  18. Bergstrand M, Hooker A, Wallin J, et al. Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models. AAPS J. 2011;13(2):143–51.

    Article  PubMed  Google Scholar 

  19. Morrison P, Allegra C. The kinetics of methotrexate polyglutamation in human breast cancer cells. Arch Biochem Biophys. 1987;254(2):597–610.

    Article  PubMed  CAS  Google Scholar 

  20. Holford N. A size standard for pharmacokinetics. Clin Pharmacokinet. 1996;30(5):329–32.

    Article  PubMed  CAS  Google Scholar 

  21. Stamp L, O’Donnell J, Chapman P, et al. Determinants of red blood cell methotrexate polyglutamate concentrations in rheumatoid arthritis patients receiving long term methotrexate treatment. Arthritis Rheum. 2009;60(8):2248–56.

    Article  PubMed  CAS  Google Scholar 

  22. Savic R, Karlsson M. Importance of shrinkage in empirical Bayes estimates for diagnostics: problems and solutions. AAPS J. 2009;11(3):558–69.

    Article  PubMed  Google Scholar 

  23. Sirotnak F, Tolner B. Carrier-mediated membrane transport of folates in mammalian cells. Annu Rev Nutr. 1999;19(1):91–122.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

Drs J. O’Donnell and P. Chapman helped with data collection. Julia Korell received an Otago PhD Scholarship and Publishing Bursary. The Health Research Council of New Zealand gave funding for the clinical studies. No funding was received for this study. All authors have no conflicts of interest that are directly relevant to the content of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Julia Korell.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 1210 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Korell, J., Stamp, L.K., Barclay, M.L. et al. A Population Pharmacokinetic Model for Low-Dose Methotrexate and its Polyglutamated Metabolites in Red Blood Cells. Clin Pharmacokinet 52, 475–485 (2013). https://doi.org/10.1007/s40262-013-0052-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40262-013-0052-y

Keywords

Navigation