Literature DB >> 17220565

Temporal decline in sirolimus elimination immediately after pancreatic islet transplantation.

Eriko Sato1, Masahiro Shimomura, Satohiro Masuda, Ikuko Yano, Toshiya Katsura, Shin-ichi Matsumoto, Teru Okitsu, Yasuhiro Iwanaga, Hirofumi Noguchi, Hideo Nagata, Yukihide Yonekawa, Ken-ichi Inui.   

Abstract

Pancreatic islet transplantation is a curable treatment for type 1 diabetes and has been put into practice in various countries. In this study, we analyzed the pharmacokinetic characteristics of sirolimus and tacrolimus in six Japanese patients with pancreatic islet transplants immediately after surgery, and monitored efficacy and toxicity. The patients were treated with immunosuppressive therapy based on the Edmonton protocol, that is, sirolimus and low-dose tacrolimus. Pharmacokinetic analyses were performed using the nonlinear mixed-effects modeling program NONMEM. Large inter- and intra-individual variability was observed in the pharmacokinetics of sirolimus and tacrolimus. A model with increased apparent clearance in the postoperative period explained well the intra-individual variability in the pharmacokinetics of both drugs. The most frequent drug-induced toxicity was a decrease in the white blood cell count, and two of six patients required the administration of granulocyte colony-stimulating factor. Clinical laboratory tests immediately before the transplantation and cytochrome P450 3A5 genotype were not related to the high blood concentrations of sirolimus after the loading dose. From these results, the apparent clearance of sirolimus and tacrolimus might temporally decline immediately after pancreatic islet transplantation. A high trough concentration of sirolimus might increase the risk of hematological toxicy, and adjustment of the dosage for immunosuppressive treatment will be necessary in Japanese patients.

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Year:  2006        PMID: 17220565     DOI: 10.2133/dmpk.21.492

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  2 in total

1.  Nonlinear population pharmacokinetics of sirolimus in patients with advanced cancer.

Authors:  K Wu; E E W Cohen; L K House; J Ramírez; W Zhang; M J Ratain; R R Bies
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2012-12-05

2.  Prediction of Optimal Drug Schedules for Controlling Autophagy.

Authors:  Afroza Shirin; Isaac S Klickstein; Song Feng; Yen Ting Lin; William S Hlavacek; Francesco Sorrentino
Journal:  Sci Rep       Date:  2019-02-05       Impact factor: 4.379

  2 in total

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