Transl Clin Pharmacol.  2019 Sep;27(3):107-114. 10.12793/tcp.2019.27.3.107.

Development of a physiologically-based pharmacokinetic model for cyclosporine in Asian children with renal impairment

Affiliations
  • 1Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul 03080, Republic of Korea.
  • 2Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Bundang Hospital, Seongnam 13620, Republic of Korea. jychung@snubh.org

Abstract

This study aimed to assess the pharmacokinetics of cyclosporine A (CsA) in Asian children with renal impairment (RI) by developing a physiologically-based pharmacokinetic (PBPK) model with Simcyp Simulator. The PBPK model of Asian children with RI was developed by modifying the physiological parameters of the built-in population libraries in Simcyp Simulator. The ratio of healthy and RI populations was obtained for each parameter showing a difference between the populations. Each ratio was multiplied by the corresponding parameter in healthy Asian children. The model verification was performed with published data of Korean children with kidney disease given multiple CsA administrations. Simulations were performed with different combinations of ethnicity, age, and renal function to identify the net impact of each factor. The simulated results suggested that the effect of RI was higher in children than adults for both Caucasian and Asian. In conclusion, the constructed model adequately characterized CsA pharmacokinetics in Korean children with RI. Simulations with populations categorized by ethnicity, age, and renal function enabled to assess the net impact of each factor on specific populations.

Keyword

Cyclosporine; Ethnicity; PBPK; Pediatrics; Renal impairment

MeSH Terms

Adult
Asian Continental Ancestry Group*
Child*
Cyclosporine*
Humans
Kidney Diseases
Pediatrics
Pharmacokinetics
Cyclosporine

Figure

  • Figure 1 Overlay of observed (circles) blood concentration and simulated (lines) steady-state plasma concentration-time profile of cyclosporine A. Dotted lines indicate a healthy population. Dashed lines indicate a population with moderate renal impairment. Solid lines indicate a population with severe renal impairment. Black lines indicate the overall mean for the virtual populations. The gray lines indicate the 5–95% confidence intervals.

  • Figure 2 Comparison of simulated (A) Cmax,ss and (B) AUCτ,ss of CsA in three populations: healthy Asian children, Asian children with moderate renal impairment and Asian children with severe renal impairment.

  • Figure 3 Comparison of PBPK model simulated steady-state plasma concentration-time profiles of cyclosporine A in (A) Caucasian adults and (B) children and (C) Asian adults and (D) children. Dotted lines indicate a healthy population. Dashed lines indicate a population with moderate renal impairment. Solid lines indicate a population with severe renal impairment.


Reference

1. Henriques Ldos S, Matos Fde M, Vaisbich MH. Pharmacokinetics of cyclosporine - a microemulsion in children with idiopathic nephrotic syndrome. Clinics (Sao Paulo). 2012; 67:1197–1202. DOI: 10.6061/clinics/2012(10)12. PMID: 23070347.
2. Hricik DE, O'Toole MA, Schulak JA, Herson J. Steroid-free immunosuppression in cyclosporine-treated renal transplant recipients: a meta-analysis. J Am Soc Nephrol. 1993; 4:1300–1305. DOI: 10.1034/j.1600-6143.2002.020105.x. PMID: 8130356.
Article
3. Kidney Disease: Improving Global Outcomes (KDIGO) Glomerulonephritis Work Group. KDIGO Clinical Practice Guideline for Glomerulonephritis. Kidney Inter. 2012; 2:S139–S274. DOI: 10.1038/kisup.2012.10.
4. Clardy CW, Schroeder TJ, Myre SA, Wadhwa NK, Pesce AJ, First MR, et al. Clinical variability of cyclosporine pharmacokinetics in adult and pediatric patients after renal, cardiac, hepatic, and bone-marrow transplants. Clin Chem. 1988; 34:2012–2015. PMID: 3048779.
Article
5. del Mar Fernández De Gatta M, Santos-Buelga D, Domínguez-Gil A, García MJ. Immunosuppressive therapy for paediatric transplant patients: pharmacokinetic considerations. Clin Pharmacokinet. 2002; 41:115–135. PMID: 11888332.
6. Min DI, Ellingrod VL, Marsh S, McLeod H. CYP3A5 polymorphism and the ethnic differences in cyclosporine pharmacokinetics in healthy subjects. Ther Drug Monit. 2004; 26:524–528. PMID: 15385835.
7. Lindholm A, Welsh M, Alton C, Kahan BD. Demographic factors influencing cyclosporine pharmacokinetic parameters in patients with uremia: racial differences in bioavailability. Clin Pharmacol Ther. 1992; 52:359–371. PMID: 1330397.
Article
8. Kimchi-Sarfaty C, Marple AH, Shinar S, Kimchi AM, Scavo D, Roma MI, et al. Ethnicity-related polymorphisms and haplotypes in the human ABCB1 gene. Pharmacogenomics. 2007; 8:29–39. DOI: 10.2217/14622416.8.1.29. PMID: 17187507.
Article
9. Christians U, Strom T, Zhang YL, Steudel W, Schmitz V, Trump S, et al. Active drug transport of immunosuppressants: new insights for pharmacokinetics and pharmacodynamics. Ther Drug Monit. 2006; 28:39–44. PMID: 16418692.
10. Lalande L, Charpiat B, Leboucher G, Tod M. Consequences of renal failure on non-renal clearance of drugs. Clin Pharmacokinet. 2014; 53:521–532. DOI: 10.1007/s40262-014-0146-1. PMID: 24861189.
Article
11. Nolin TD. Altered nonrenal drug clearance in ESRD. Curr Opin Nephrol Hypertens. 2008; 17:555–559. DOI: 10.1097/MNH.0b013e3283136732. PMID: 18941346.
Article
12. Yee GC, Lennon TP, Gmur DJ, Kennedy MS, Deeg HJ. Age-dependent cyclosporine: pharmacokinetics in marrow transplant recipients. Clin Pharmacol Ther. 1986; 40:438–443. PMID: 3530588.
Article
13. Burckart G, Starzl T, Williams L, Sanghvi A, Gartner C, Venkataramanan R, et al. Cyclosporine monitoring and pharmacokinetics in pediatrie liver transplant patients. Transplant Proc. 1985; 17:1172–1175. PMID: 20640180.
14. Cooney GF, Habucky K, Hoppu K. Cyclosporin pharmacokinetics in paediatric transplant recipients. Clin Pharmacokinet. 1997; 32:481–495. DOI: 10.2165/00003088-199732060-. PMID: 9195117.
Article
15. Yee GC, Lennon TP, Gmur DG, Carlin J, Schaffer RL, Kennedy MS, et al. Clinical pharmacology of cyclosporine in patients undergoing bone marrow transplantation. Transplant Proc. 1986; 18(6 Suppl 5):153–159. PMID: 3538566.
16. Sandimmune® (cyclosporine) capsules [package insert]. East Hanover (NJ): Novartis Pharmaceuticals Corporation;2015. cited 2017 Sep 05. Available from: https://www.pharma.us.novartis.com/sites/www.pharma.us.novartis.com/files/sandimmune.pdf.
17. Jin M, Seto W, Taylor T, Saunders EF, Doyle J, Dupuis LL. Determination of initial i.v. CYA dosage to achieve target AUC values in pediatric hematopoietic stem cell transplant patients. Bone Marrow Transplant. 2008; 42:455–459. DOI: 10.1038/bmt.2008.189. PMID: 18622423.
Article
18. Krauss M, Tappe K, Schuppert A, Kuepfer L, Goerlitz L. Bayesian Population Physiologically-Based Pharmacokinetic (PBPK) Approach for a Physiologically Realistic Characterization of Interindividual Variability in Clinically Relevant Populations. PLoS One. 2015; 10:e0139423. DOI: 10.1371/journal.pone.0139423. PMID: 26431198.
Article
19. Zhao P, Rowland M, Huang SM. Best practice in the use of physiologically based pharmacokinetic modeling and simulation to address clinical pharmacology regulatory questions. Clin Pharmacol Ther. 2012; 92:17–20. DOI: 10.1038/clpt.2012.68. PMID: 22713733.
Article
20. Chun WS. Pharmacokinetics of Cyclosporine A and Its Therapeutic Effect in Children with Renal Diseases. Korean J Pediatr. 2004; 47:193–203.
21. Maharaj AR, Barrett JS, Edginton AN. A workflow example of PBPK modeling to support pediatric research and development: case study with lorazepam. AAPS J. 2013; 15:455–464. DOI: 10.1208/s12248-013-9451-0. PMID: 23344790.
Article
22. Edginton AN, Schmitt W, Willmann S. Development and evaluation of a generic physiologically based pharmacokinetic model for children. Clin Pharmacokinet. 2006; 45:1013–1034. DOI: 10.2165/00003088-200645100-00005. PMID: 16984214.
Article
23. Cremers SC, Scholten EM, Schoemaker RC, Lentjes EG, Vermeij P, Paul LC, et al. A compartmental pharmacokinetic model of cyclosporin and its predictive performance after Bayesian estimation in kidney and simultaneous pancreas-kidney transplant recipients. Nephrol Dial Transplant. 2003; 18:1201–1208. PMID: 12748356.
Article
24. Kurose K, Sugiyama E, Saito Y. Population differences in major functional polymorphisms of pharmacokinetics/pharmacodynamics-related genes in Eastern Asians and Europeans: implications in the clinical trials for novel drug development. Drug Metab Pharmacokinet. 2012; 27:9–54. DOI: 10.2133/dmpk.DMPK-11-RV-111. PMID: 22123129.
Article
25. Schmidt S, Gonzalez D, Derendorf H. Significance of protein binding in pharmacokinetics and pharmacodynamics. J Pharm Sci. 2010; 99:1107–1122. DOI: 10.1002/jps.21916. PMID: 19852037.
Article
26. Sethi PK, White CA, Cummings BS, Hines RN, Muralidhara S, Bruckner JV. Ontogeny of plasma proteins, albumin and binding of diazepam, cyclosporine, and deltamethrin. Pediatr Res. 2016; 79:409–415. DOI: 10.1038/pr.2015.237. PMID: 26571224.
Article
27. Rodgers T, Rowland M. Mechanistic approaches to volume of distribution predictions: understanding the processes. Pharm Res. 2007; 24:918–933. DOI: 10.1007/s11095-006-9210-3. PMID: 17372687.
Article
Full Text Links
  • TCP
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr