Abstract
Prediction of human pharmacokinetics (PK) can be challenging for monoclonal antibodies (mAbs) exhibiting target-mediated drug disposition (TMDD). In this study, we performed a quantitative analysis of a diverse set of six mAbs exhibiting TMDD to explore translational rules that can be utilized to predict human PK. A TMDD model with rapid-binding approximation was utilized to fit PK and PD (i.e., free and/or total target levels) data, and average absolute fold error (AAFE) was calculated for each model parameter. Based on the comparative analysis, translational rules were developed and applied to a test antibody not included in the original analysis. AAFE of less than two-fold was observed between monkey and human for baseline target levels (R 0), body-weight (BW) normalized central elimination rate (K el/BW−0.25) and central volume (V c/BW1.0). AAFE of less than three-fold was estimated for the binding affinity constant (K D). The other four parameters, i.e., complex turnover rate (K int), target turnover rate (K deg), central to peripheral distribution rate constant (K pt) and peripheral to central rate constant (K tp) were poorly correlated between monkey and human. The projected human PK of test antibody based on the translation rules was in good agreement with the observed nonlinear PK. In conclusion, we recommend a TMDD model-based prediction approach that integrates in vitro human biomeasures and in vivo preclinical data using translation rules developed in this study.
Similar content being viewed by others
REFERENCES
Rodrigues ME, Costa AR, Henriques M, Azeredo J, Oliveira R. Technological progresses in monoclonal antibody production systems. Biotechnol Prog. 2010;26(2):332–51. doi:10.1002/btpr.348.
Lobo ED, Hansen RJ, Balthasar JP. Antibody pharmacokinetics and pharmacodynamics. J Pharm Sci. 2004;93(11):2645–68. doi:10.1002/jps.20178.
Wang W, Wang EQ, Balthasar JP. Monoclonal antibody pharmacokinetics and pharmacodynamics. Clin Pharmacol Ther. 2008;84(5):548–58. doi:10.1038/clpt.2008.170.
Mould DR, Green B. Pharmacokinetics and pharmacodynamics of monoclonal antibodies: concepts and lessons for drug development. BioDrugs. 2010;24(1):23–39. doi:10.2165/11530560-000000000-00000.
Dirks NL, Meibohm B. Population pharmacokinetics of therapeutic monoclonal antibodies. Clin Pharmacokinet. 2010;49(10):633–59. doi:10.2165/11535960-000000000-00000.
Yousry TA, Major EO, Ryschkewitsch C, Fahle G, Fischer S, Hou J, et al. Evaluation of patients treated with natalizumab for progressive multifocal leukoencephalopathy. N Engl J Med. 2006;354(9):924–33. doi:10.1056/NEJMoa054693.
Keymeulen B, Vandemeulebroucke E, Ziegler AG, Mathieu C, Kaufman L, Hale G, et al. Insulin needs after CD3-antibody therapy in new-onset type 1 diabetes. N Engl J Med. 2005;352(25):2598–608. doi:10.1056/NEJMoa043980.
Suntharalingam G, Perry MR, Ward S, Brett SJ, Castello-Cortes A, Brunner MD, et al. Cytokine storm in a phase 1 trial of the anti-CD28 monoclonal antibody TGN1412. N Engl J Med. 2006;355(10):1018–28. doi:10.1056/NEJMoa063842.
Mordenti J, Chen SA, Moore JA, Ferraiolo BL, Green JD. Interspecies scaling of clearance and volume of distribution data for five therapeutic proteins. Pharm Res. 1991;8(11):1351–9. doi:10.1023/A:1015836720294.
Mahmood I. Interspecies scaling of protein drugs: prediction of clearance from animals to humans. J Pharm Sci. 2004;93(1):177–85. doi:10.1002/jps.10531.
Wang W, Prueksaritanont T. Prediction of human clearance of therapeutic proteins: simple allometric scaling method revisited. Biopharm Drug Dispos. 2010;31(4):253–63. doi:10.1002/bdd.708.
Ling J, Zhou H, Jiao Q, Davis HM. Interspecies scaling of therapeutic monoclonal antibodies: initial look. J Clin Pharmacol. 2009;49(12):1382–402. doi:10.1177/0091270009337134.
Deng R, Iyer S, Theil FP, Mortensen DL, Fielder PJ, Prabhu S. Projecting human pharmacokinetics of therapeutic antibodies from nonclinical data: what have we learned? MAbs. 2011;3(1):61–6. doi:10.4161/mabs.3.1.13799.
Oitate M, Masubuchi N, Ito T, Yabe Y, Karibe T, Aoki T, et al. Prediction of human pharmacokinetics of therapeutic monoclonal antibodies from simple allometry of monkey data. Drug Metab Pharmacokinet. 2011;26(4):423–30. doi:10.2133/dmpk.DMPK-11-RG-011.
Oitate M, Nakayama S, Ito T, Kurihara A, Okudaira N, Izumi T. Prediction of human plasma concentration-time profiles of monoclonal antibodies from monkey data by a species-invariant time method. Drug Metab Pharmacokinet. 2012;27(3):354–9.
Dong JQ, Salinger DH, Endres CJ, Gibbs JP, Hsu CP, Stouch BJ, et al. Quantitative prediction of human pharmacokinetics for monoclonal antibodies: retrospective analysis of monkey as a single species for first-in-human prediction. Clin Pharmacokinet. 2011;50(2):131–42. doi:10.2165/11537430-000000000-00000.
Kagan L, Abraham AK, Harrold JM, Mager DE. Interspecies scaling of receptor-mediated pharmacokinetics and pharmacodynamics of type I interferons. Pharm Res. 2010;27(5):920–32. doi:10.1007/s11095-010-0098-6.
Luu KT, Bergqvist S, Chen E, Hu-Lowe D, Kraynov E. A model-based approach to predicting the human pharmacokinetics of a monoclonal antibody exhibiting target-mediated drug disposition. J Pharmacol Exp Ther. 2012;341(3):702–8. doi:10.1124/jpet.112.191999.
Mager DE, Jusko WJ. General pharmacokinetic model for drugs exhibiting target-mediated drug disposition. J Pharmacokinet Pharmacodyn. 2001;28(6):507–32. doi:10.1023/A:1014414520282.
Mager DE, Krzyzanski W. Quasi-equilibrium pharmacokinetic model for drugs exhibiting target-mediated drug disposition. Pharm Res. 2005;22(10):1589–96. doi:10.1007/s11095-005-6650-0.
Lavielle M, Mentre F. Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the MONOLIX software. J Pharmacokinet Pharmacodyn. 2007;34(2):229–49. doi:10.1007/s10928-006-9043-z.
Beal SL. Ways to fit a PK model with some data below the quantification limit. J Pharmacokinet Pharmacodyn. 2001;28(5):481–504. doi:10.1023/A:1012299115260.
Bauer RJ, Dedrick RL, White ML, Murray MJ, Garovoy MR. Population pharmacokinetics and pharmacodynamics of the anti-CD11a antibody hu1124 in human subjects with psoriasis. J Pharmacokinet Biopharm. 1999;27(4):397–420. doi:10.1023/A:1020917122093.
Ng CM, Stefanich E, Anand BS, Fielder PJ, Vaickus L. Pharmacokinetics/pharmacodynamics of nondepleting anti-CD4 monoclonal antibody (TRX1) in healthy human volunteers. Pharm Res. 2006;23(1):95–103. doi:10.1007/s11095-005-8814-3.
Scheerens H, Su Z, Irving B, Townsend MJ, Zheng Y, Stefanich E, et al. MTRX1011A, a humanized anti-CD4 monoclonal antibody, in the treatment of patients with rheumatoid arthritis: a phase I randomized, double-blind, placebo-controlled study incorporating pharmacodynamic biomarker assessments. Arthritis Res Ther. 2011;13(5):R177. doi:10.1186/ar3502.
Zheng Y, Scheerens H, Davis Jr JC, Deng R, Fischer SK, Woods C, et al. Translational pharmacokinetics and pharmacodynamics of an FcRn-variant anti-CD4 monoclonal antibody from preclinical model to phase I study. Clin Pharmacol Ther. 2011;89(2):283–90. doi:10.1038/clpt.2010.311.
Hasegawa M, Fujimoto M, Kikuchi K, Takehara K. Elevated serum levels of interleukin 4 (IL-4), IL-10, and IL-13 in patients with systemic sclerosis. J Rheumatol. 1997;24(2):328–32.
Hasegawa M, Sato S, Fujimoto M, Ihn H, Kikuchi K, Takehara K. Serum levels of interleukin 6 (IL-6), oncostatin M, soluble IL-6 receptor, and soluble gp130 in patients with systemic sclerosis. J Rheumatol. 1998;25(2):308–13.
Machy P, Truneh A. Differential half-life of major histocompatibility complex encoded class I molecules in T and B lymphoblasts. Mol Immunol. 1989;26(8):687–96. doi:10.1016/0161-5890(89)90027-8.
Truneh A, Machy P. Detection of very low receptor numbers on cells by flow cytometry using a sensitive staining method. Cytometry. 1987;8(6):562–7. doi:10.1002/cyto.990080605.
Betts AM, Clark TH, Yang J, Treadway JL, Li M, Giovanelli MA, et al. The application of target information and preclinical pharmacokinetic/pharmacodynamic modeling in predicting clinical doses of a Dickkopf-1 antibody for osteoporosis. J Pharmacol Exp Ther. 2010;333(1):2–13. doi:10.1124/jpet.109.164129.
Tabrizi MA, Tseng CM, Roskos LK. Elimination mechanisms of therapeutic monoclonal antibodies. Drug Discov Today. 2006;11(1–2):81–8. doi:10.1016/S1359-6446(05)03638-X.
ACKNOWLEDGMENTS
We thank Dr. Donald E. Mager, University at Buffalo, for helping in the development and review of this manuscript. This work was partially supported by the stipend Aman P. Singh received as a Pharmacokinetic/Pharmacodynamic Summer Intern at PDM Department in Pfizer and partially supported by the NIH grant GM 57980
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Figure S1
mAb-1 (Efalizumab) pharmacokinetics and %CD11a receptor modulation in chimpanzees fitted with a rapid-binding approximation of TMDD model. (DOCX 35 kb)
Figure S2
mAb-1 (Efalizumab) pharmacokinetics and %CD11a receptor modulation in Psoriatic patients fitted with a rapid-binding approximation of a TMDD model. (DOCX 101 kb)
Figure S3
mAb-2 (TRX-1) pharmacokinetics, free and total % CD4+ cells modulation in healthy baboons fitted with a rapid-binding approximation of TMDD model. (DOCX 108 kb)
Figure S4
mAb-2 (TRX-1) pharmacokinetics, free and total % CD4+ cells modulation in healthy volunteers in phase 1 clinical trial fitted with a rapid-binding approximation of TMDD model. (DOCX 104 kb)
Figure S5
mAb-3 (MTRX-1) pharmacokinetics, free and total %CD4+ cells modulation in baboons fitted with a rapid-binding approximation of TMDD model. (DOCX 60 kb)
Figure S6
mAb-3 (MTRX-1) pharmacokinetics, free and total %CD4+ cells modulation fitted with a rapid-binding approximation of TMDD model. (DOCX 67 kb)
Figure S7
mAb-4 pharmacokinetics in cynomolgus monkeys and healthy volunteers in phase 1 trial fitted with a rapid-binding approximation of a TMDD model. (DOCX 353 kb)
Figure S8
mAb-5 pharmacokinetics in cynomolgus monkeys and in humans fitted with a rapid-binding approximation of a TMDD model. (DOCX 163 kb)
Figure S9
mAb-6 pharmacokinetics and total %target modulation in cynomolgus monkeys fitted with a rapid-binding approximation of TMDD model. (DOCX 50 kb)
Figure S10
mAb-6 pharmacokinetics and total %target modulation in healthy volunteers in a phase-1 trial fitted with a rapid-binding approximation of TMDD model. (DOCX 52 kb)
Figure S11
TMDD model based predictions for the test drug (mAb-7) PK in a phase-1 clinical trial in healthy volunteers. Note that most of the PK data (except for one subject) for 3 mg SC dose was below the limit of quantification of the assay and could not be presented in Figure 6. Consistent with these findings, model predictions for 3mg SC group were below LLOQ. (DOCX 103 kb)
Figure S12
Vmax/Km model based predictions for the test drug (mAb-7) PK in a phase-1 clinical trial in healthy volunteers. (DOCX 105 kb)
Figure S13
Comparative performance of translation rule based predictions vs. empirical (V max/K m) approach. Predicted AUC (A) and Cmax (B) at each dose (3-120mg SC) are shown for the two approaches and compared against the observed data. Solid diagonal line represents perfect agreement. (DOCX 217 kb)
Rights and permissions
About this article
Cite this article
Singh, A.P., Krzyzanski, W., Martin, S.W. et al. Quantitative Prediction of Human Pharmacokinetics for mAbs Exhibiting Target-Mediated Disposition. AAPS J 17, 389–399 (2015). https://doi.org/10.1208/s12248-014-9690-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1208/s12248-014-9690-8