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Simple Approach to Accurately Predict Pharmacokinetics of Therapeutic Monoclonal Antibodies after Subcutaneous Injection in Humans

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Abstract

Background and objective

The subcutaneous injection of therapeutic monoclonal antibodies is increasingly used in the treatment of several diseases because of its convenience. Thus, a simple and accurate method of predicting the pharmacokinetics of monoclonal antibodies after a subcutaneous injection in humans would be a valuable tool for preclinical/clinical development. In this study, we investigated whether the pharmacokinetics of monoclonal antibodies after a subcutaneous injection in humans can be predicted using only pharmacokinetic data after a subcutaneous injection in cynomolgus monkeys.

Methods

First, we compared the accuracy of three approaches to predict the apparent clearance (CL/F) and apparent volume of distribution (Vd/F) for 15 monoclonal antibodies in humans (1) allometric scaling from cynomolgus monkeys; (2) geometric mean of reported values in humans; (3) estimation from a regression line based on CL/F in humans [only Vd/F]). Then, using the predicted CL/F and Vd/F, and the geometric mean of reported absorption rate constant of mAbs the plasma concentration–time profiles of 13 monoclonal antibodies after subcutaneous injections in humans were simulated.

Results

In a comparison of approaches, the first approach showed the best prediction accuracy for CL/F with an exponent of 0.9 (100% and 73% prediction accuracy within 2- and 1.5-fold of the observed value),and the third approach was the best for Vd/F (100% prediction accuracy within 1.5-fold of the observed value). Next, using the first approach for CL/F and the third approach for Vd/F, we accurately predicted the plasma concentration–time profiles of 13 monoclonal antibodies after subcutaneous injections in humans.

Conclusion

This simple approach can be applied in preclinical and clinical settings to predict the pharmacokinetics of monoclonal antibodies after subcutaneous injections in humans. Further, this approach requires only CL/F after a subcutaneous injection in cynomolgus monkeys, contributing to animal welfare and reducing costs.

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References

  1. Tsumoto K, Isozaki Y, Yagami H, Tomita M. Future perspectives of therapeutic monoclonal antibodies. Immunotherapy. 2019;11(2):119–27. https://doi.org/10.2217/imt-2018-0130.

    Article  CAS  PubMed  Google Scholar 

  2. Ecker DM, Jones SD, Levine HL. The therapeutic monoclonal antibody market. mAbs. 2015;7(1):9–14. https://doi.org/10.4161/19420862.2015.989042.

    Article  CAS  PubMed  Google Scholar 

  3. Ryman JT, Meibohm B. Pharmacokinetics of monoclonal antibodies. CPT Pharmacometrics Syst Pharmacol. 2017;6(9):576–88. https://doi.org/10.1002/psp4.12224.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Viola M, Sequeira J, Seica R, Veiga F, Serra J, Santos AC, et al. Subcutaneous delivery of monoclonal antibodies: how do we get there? J Control Release. 2018;286:301–14. https://doi.org/10.1016/j.jconrel.2018.08.001.

    Article  CAS  PubMed  Google Scholar 

  5. Igawa T, Ishii S, Tachibana T, Maeda A, Higuchi Y, Shimaoka S, et al. Antibody recycling by engineered pH-dependent antigen binding improves the duration of antigen neutralization. Nat Biotechnol. 2010;28(11):1203–7. https://doi.org/10.1038/nbt.1691.

    Article  CAS  PubMed  Google Scholar 

  6. Igawa T, Maeda A, Haraya K, Tachibana T, Iwayanagi Y, Mimoto F, et al. Engineered monoclonal antibody with novel antigen-sweeping activity in vivo. PLoS ONE. 2013;8(5):e63236. https://doi.org/10.1371/journal.pone.0063236.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Haraya K, Tachibana T, Iwayanagi Y, Maeda A, Ozeki K, Nezu J, et al. PK/PD analysis of a novel pH-dependent antigen-binding antibody using a dynamic antibody-antigen binding model. Drug Metab Pharmacokinet. 2016;31(2):123–32. https://doi.org/10.1016/j.dmpk.2015.12.007.

    Article  CAS  PubMed  Google Scholar 

  8. Igawa T, Haraya K, Hattori K. Sweeping antibody as a novel therapeutic antibody modality capable of eliminating soluble antigens from circulation. Immunol Rev. 2016;270(1):132–51. https://doi.org/10.1111/imr.12392.

    Article  CAS  PubMed  Google Scholar 

  9. Shpilberg O, Jackisch C. Subcutaneous administration of rituximab (MabThera) and trastuzumab (Herceptin) using hyaluronidase. Br J Cancer. 2013;109(6):1556–611. https://doi.org/10.1038/bjc.2013.371.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Haraya K, Tachibana T, Igawa T. Improvement of pharmacokinetic properties of therapeutic antibodies by antibody engineering. Drug Metab Pharmacokinet. 2019;34(1):25–41. https://doi.org/10.1016/j.dmpk.2018.10.003.

    Article  CAS  PubMed  Google Scholar 

  11. Iwasaki K, Uno Y, Utoh M, Yamazaki H. Importance of cynomolgus monkeys in development of monoclonal antibody drugs. Drug Metab Pharmacokinet. 2019;34(1):55–63. https://doi.org/10.1016/j.dmpk.2018.02.003.

    Article  CAS  PubMed  Google Scholar 

  12. Haraya K, Tachibana T, Nezu J. Quantitative prediction of therapeutic antibody pharmacokinetics after intravenous and subcutaneous injection in human. Drug Metab Pharmacokinet. 2017;32(4):208–17. https://doi.org/10.1016/j.dmpk.2017.05.002.

    Article  CAS  PubMed  Google Scholar 

  13. 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. https://doi.org/10.2133/dmpk.dmpk-11-sh-059.

    Article  CAS  PubMed  Google Scholar 

  14. Nnane IP, Han C, Jiao Q, Tam SH, Davis HM, Xu Z. Modification of the Fc region of a human anti-oncostatin M monoclonal antibody for higher affinity to FcRn receptor and extension of half-life in cynomolgus monkeys. Basic Clin Pharmacol Toxicol. 2017;121(1):13–211. https://doi.org/10.1111/bcpt.12761.

    Article  CAS  PubMed  Google Scholar 

  15. Haraya K, Tachibana T, Nezu J. Predicting pharmacokinetic profile of therapeutic antibodies after iv injection from only the data after sc injection in cynomolgus monkey. Xenobiotica. 2017;47(3):194–201. https://doi.org/10.1080/00498254.2016.1174792.

    Article  CAS  PubMed  Google Scholar 

  16. Oh CK, Faggioni R, Jin F, Roskos LK, Wang B, Birrell C, et al. An open-label, single-dose bioavailability study of the pharmacokinetics of CAT-354 after subcutaneous and intravenous administration in healthy males. Br J Clin Pharmacol. 2010;69(6):645–55. https://doi.org/10.1111/j.1365-2125.2010.03647.x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Struemper H, Thapar M, Roth D. Population pharmacokinetic and pharmacodynamic analysis of belimumab administered subcutaneously in healthy volunteers and patients with systemic lupus erythematosus. Clin Pharmacokinet. 2018;57(6):717–28. https://doi.org/10.1007/s40262-017-0586-5.

    Article  CAS  PubMed  Google Scholar 

  18. 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 Metabol Pharmacokinet. 2011;26(4):423–30.

    Article  CAS  Google Scholar 

  19. 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. https://doi.org/10.4161/mabs.3.1.13799.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 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. https://doi.org/10.2165/11537430-000000000-00000.

    Article  CAS  PubMed  Google Scholar 

  21. Richter WF, Bhansali SG, Morris ME. Mechanistic determinants of biotherapeutics absorption following SC administration. AAPS J. 2012;14(3):559–70. https://doi.org/10.1208/s12248-012-9367-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. 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. https://doi.org/10.1124/jpet.112.191999.

    Article  CAS  PubMed  Google Scholar 

  23. Wiczling P, Rosenzweig M, Vaickus L, Jusko WJ. Pharmacokinetics and pharmacodynamics of a chimeric/humanized anti-CD3 monoclonal antibody, otelixizumab (TRX4), in subjects with psoriasis and with type 1 diabetes mellitus. J Clin Pharmacol. 2010;50(5):494–506. https://doi.org/10.1177/0091270009349376.

    Article  CAS  PubMed  Google Scholar 

  24. Yan X, Mager DE, Krzyzanski W. Selection between Michaelis-Menten and target-mediated drug disposition pharmacokinetic models. J Pharmacokinet Pharmacodyn. 2010;37(1):25–47. https://doi.org/10.1007/s10928-009-9142-8.

    Article  CAS  PubMed  Google Scholar 

  25. Zheng Y, Tesar DB, Benincosa L, Birnbock H, Boswell CA, Bumbaca D, et al. Minipig as a potential translatable model for monoclonal antibody pharmacokinetics after intravenous and subcutaneous administration. mAbs. 2012;4(2):243–55. https://doi.org/10.4161/mabs.4.2.19387.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Bown HK, Bonn C, Yohe S, Yadav DB, Patapoff TW, Daugherty A, et al. In vitro model for predicting bioavailability of subcutaneously injected monoclonal antibodies. J Controlled Release. 2018;273:13–20. https://doi.org/10.1016/j.jconrel.2018.01.015.

    Article  CAS  Google Scholar 

  27. Kenniston JA, Faucette RR, Martik D, Comeau SR, Lindberg AP, Kopacz KJ, et al. Inhibition of plasma kallikrein by a highly specific active site blocking antibody. J Biol Chem. 2014;289(34):23596–608. https://doi.org/10.1074/jbc.M114.569061.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Chyung Y, Vince B, Iarrobino R, Sexton D, Kenniston J, Faucette R, et al. A phase 1 study investigating DX-2930 in healthy subjects. Ann Allergy Asthma Immunol. 2014;113(4):460–6.e2. https://doi.org/10.1016/j.anai.2014.05.028.

    Article  CAS  PubMed  Google Scholar 

  29. Nnane IP, Xu Z, Zhou H, Davis HM. Non-clinical pharmacokinetics, prediction of human pharmacokinetics and first-in-human dose selection for CNTO 5825, an anti-interleukin-13 monoclonal antibody. Basic Clin Pharmacol Toxicol. 2015;117(4):219–25. https://doi.org/10.1111/bcpt.12391.

    Article  CAS  PubMed  Google Scholar 

  30. van Hartingsveldt B, Nnane IP, Bouman-Thio E, Loza MJ, Piantone A, Davis HM, et al. Safety, tolerability and pharmacokinetics of a human anti-interleukin-13 monoclonal antibody (CNTO 5825) in an ascending single-dose first-in-human study. Br J Clin Pharmacol. 2013;75(5):1289–98. https://doi.org/10.1111/j.1365-2125.2012.04477.x.

    Article  CAS  PubMed  Google Scholar 

  31. Zia-Amirhosseini P, Minthorn E, Benincosa LJ, Hart TK, Hottenstein CS, Tobia LA, et al. Pharmacokinetics and pharmacodynamics of SB-240563, a humanized monoclonal antibody directed to human interleukin-5, in monkeys. J Pharmacol Exp Ther. 1999;291(3):1060–7.

    CAS  PubMed  Google Scholar 

  32. Smith DA, Minthorn EA, Beerahee M. Pharmacokinetics and pharmacodynamics of mepolizumab, an anti-interleukin-5 monoclonal antibody. Clin Pharmacokinet. 2011;50(4):215–27. https://doi.org/10.2165/11584340-000000000-00000.

    Article  CAS  PubMed  Google Scholar 

  33. PMDA. Adalimumab (Humira). 2008. https://www.pmda.go.jp/drugs/2008/P200800019/index.html. Accessed 1 Nov 2019.

  34. PMDA. Omalizumab (Xolair). 2013. https://www.pmda.go.jp/drugs/2013/P201300105/index.html. Accessed 1 Nov 2019.

  35. PMDA. Golimumab (Simponi). 2011. https://www.pmda.go.jp/drugs/2011/P201100114/index.html. Accessed 1 Nov 2019.

  36. Zhuang Y, Lyn S, Lv Y, Xu Z, Bouman-Thio E, Masterson T, et al. Pharmacokinetics and safety of golimumab in healthy Chinese subjects following a single subcutaneous administration in a randomized phase I trial. Clin Drug Invest. 2013;33(11):795–800. https://doi.org/10.1007/s40261-013-0124-7.

    Article  CAS  Google Scholar 

  37. PMDA. Secukinumab (Cosentyx). 2014. https://www.pmda.go.jp/drugs/2014/P201400171/index.html. Accessed 1 Nov 2019.

  38. Lacy SE, Wu C, Ambrosi DJ, Hsieh CM, Bose S, Miller R, et al. Generation and characterization of ABT-981, a dual variable domain immunoglobulin (DVD-Ig(TM)) molecule that specifically and potently neutralizes both IL-1alpha and IL-1beta. mAbs. 2015;7(3):605–19. https://doi.org/10.1080/19420862.2015.1026501.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Kosloski MP, Goss S, Wang SX, Liu J, Loebbert R, Medema JK, et al. Pharmacokinetics and tolerability of a dual variable domain immunoglobulin ABT-981 against IL-1alpha and IL-1beta in healthy subjects and patients with osteoarthritis of the knee. J Clin Pharmacol. 2016;56(12):1582–90. https://doi.org/10.1002/jcph.764.

    Article  CAS  PubMed  Google Scholar 

  40. US FDA. Guselkumab (Tremfya). 2016. https://www.accessdata.fda.gov/drugsatfda_docs/nda/2017/761061Orig1s000MultidisciplineR.pdf. Accessed 1 Nov 2019.

  41. Zhuang Y, Calderon C, Marciniak SJ Jr, Bouman-Thio E, Szapary P, Yang TY, et al. First-in-human study to assess guselkumab (anti-IL-23 mAb) pharmacokinetics/safety in healthy subjects and patients with moderate-to-severe psoriasis. Eur J Clin Pharmacol. 2016;72(11):1303–10. https://doi.org/10.1007/s00228-016-2110-5.

    Article  CAS  PubMed  Google Scholar 

  42. PMDA. Ustekinumab (Stelara). 2011. https://www.pmda.go.jp/drugs/2011/P201100021/index.html. Accessed 1 Nov 2019.

  43. Zhu Y, Wang Q, Frederick B, Bouman-Thio E, Marini JC, Keen M, et al. Comparison of the pharmacokinetics of subcutaneous ustekinumab between Chinese and non-Chinese healthy male subjects across two phase 1 studies. Clin Drug Invest. 2013;33(4):291–301. https://doi.org/10.1007/s40261-013-0072-2.

    Article  CAS  Google Scholar 

  44. PMDA. Risankizumab (Skyrizi). 2019. https://www.pmda.go.jp/drugs/2019/P20190329001/112130000_23100AMX00299_A100_1.pdf. Accessed 1 Nov 2019.

  45. Suleiman AA, Khatri A, Minocha M, Othman AA. Population pharmacokinetics of the interleukin-23 inhibitor risankizumab in subjects with psoriasis and Crohn's disease: analyses of phase I and II trials. Clin Pharmacokinet. 2019;58(3):375–87. https://doi.org/10.1007/s40262-018-0704-z.

    Article  CAS  PubMed  Google Scholar 

  46. Oyama S, Kitamura H, Kuramochi T, Higuchi Y, Matsushita H, Suzuki T, et al. Cynomolgus monkey model of interleukin-31-induced scratching depicts blockade of human interleukin-31 receptor A by a humanized monoclonal antibody. Exp Dermatol. 2018;27(1):14–211. https://doi.org/10.1111/exd.13236.

    Article  CAS  PubMed  Google Scholar 

  47. Nemoto O, Furue M, Nakagawa H, Shiramoto M, Hanada R, Matsuki S, et al. The first trial of CIM331, a humanized antihuman interleukin-31 receptor A antibody, in healthy volunteers and patients with atopic dermatitis to evaluate safety, tolerability and pharmacokinetics of a single dose in a randomized, double-blind, placebo-controlled study. Br J Dermatol. 2016;174(2):296–304. https://doi.org/10.1111/bjd.14207.

    Article  CAS  PubMed  Google Scholar 

  48. Kock K, Pan WJ, Gow JM, Horner MJ, Gibbs JP, Colbert A, et al. Preclinical development of AMG 139, a human antibody specifically targeting IL-23. Br J Pharmacol. 2015;172(1):159–72. https://doi.org/10.1111/bph.12904.

    Article  CAS  PubMed  Google Scholar 

  49. Gibbs JP, Tsuji W, PAN WJ. Methods for treating psoriasis using an anti-IL-23 antibody. Patent (WO2014149425). 2014.

  50. Muto A, Yoshihashi K, Takeda M, Kitazawa T, Soeda T, Igawa T, et al. Anti-factor IXa/X bispecific antibody (ACE910): hemostatic potency against ongoing bleeds in a hemophilia A model and the possibility of routine supplementation. J Thromb Haemost. 2014;12(2):206–13.

    Article  CAS  Google Scholar 

  51. Uchida N, Sambe T, Yoneyama K, Fukazawa N, Kawanishi T, Kobayashi S, et al. A first-in-human phase 1 study of ACE910, a novel factor VIII-mimetic bispecific antibody, in healthy subjects. Blood. 2016;127(13):1633–41. https://doi.org/10.1182/blood-2015-06-650226.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. PMDA. Ixekizumab (Taltz). 2016. https://www.pmda.go.jp/drugs/2016/P20160725001/index.html. Accessed 1 Nov 2019.

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Correspondence to Kenta Haraya.

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Funding

This work was fully supported by Chugai Pharmaceutical Co. Ltd.

Conflict of interest

Kenta Haraya and Tatsuhiko Tachibana are employees of Chugai Pharmaceutical Co. Ltd. and declare no potential conflicts of interest that might be relevant to the content of this article.

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All pharmacokinetic data is available in reference and all software is commercially available.

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Authors’ contributions

K.H. and T.T. contributed to the study concept, data analysis and preparation of manuscript.

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Haraya, K., Tachibana, T. Simple Approach to Accurately Predict Pharmacokinetics of Therapeutic Monoclonal Antibodies after Subcutaneous Injection in Humans. Clin Pharmacokinet 60, 111–120 (2021). https://doi.org/10.1007/s40262-020-00917-8

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