Literature DB >> 7535213

Pharmacokinetics of tacrolimus in liver transplant patients.

W J Jusko1, W Piekoszewski, G B Klintmalm, M S Shaefer, M F Hebert, A A Piergies, C C Lee, P Schechter, Q A Mekki.   

Abstract

OBJECTIVE: To characterize the pharmacokinetics of the immunosuppressive agent tacrolimus (FK 506) in liver transplant patients.
METHODS: Patients (n = 16) were assessed during and after 1- to 3-day intravenous infusions followed by a 2-week course of oral dose therapy. Plasma and whole blood data were fitted simultaneously with equations accounting for nonlinear drug binding by red blood cells to generate clearance (CL) and volume of distribution (V).
RESULTS: The maximum blood/plasma ratio of tacrolimus was 55.5 +/- 26.8 (SD) and half-life averaged 12.1 +/- 4.7 hours. The CL and V were relatively high based on plasma concentrations (CL, 1.7 L/hr/kg; V, 30 L/kg) and low based on whole blood (CL, 54 ml/hr/kg; V, 0.9 L/kg), with moderate variability (coefficient of variation, 34% to 49%) among the patients. Correlations of plasma CL and V with maximum blood/plasma ratios (ranging from 13 to 114) were strong (r = 0.65 and r = 0.73). Blood binding affects the disposition of tacrolimus, and plasma concentrations are indirectly and inversely related to red cell binding. The oral dose data for tacrolimus yielded a brief absorption lag time (tlag, 0.39 hour), a variable first-order absorption rate constant (ka, 4.5 +/- 3.0 hr-1), and consistent bioavailability (F, 25% +/- 10%). The area under the concentration-time curve versus 12-hour minimum concentration relationships for both whole blood and plasma were nearly linear, confirming the utility of trough values for monitoring drug exposure.
CONCLUSION: This study provides pharmacokinetic guidelines for the use of tacrolimus in patients undergoing hepatic transplantation. Nonlinear blood binding is a major source of interpatient variation in the disposition of tacrolimus.

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Year:  1995        PMID: 7535213     DOI: 10.1016/0009-9236(95)90153-1

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  49 in total

1.  Prediction of the tacrolimus population pharmacokinetic parameters according to CYP3A5 genotype and clinical factors using NONMEM in adult kidney transplant recipients.

Authors:  Nayoung Han; Hwi-yeol Yun; Jin-yi Hong; In-Wha Kim; Eunhee Ji; Su Hyun Hong; Yon Su Kim; Jongwon Ha; Wan Gyoon Shin; Jung Mi Oh
Journal:  Eur J Clin Pharmacol       Date:  2012-06-02       Impact factor: 2.953

2.  Evaluation of limited sampling methods for estimation of tacrolimus exposure in adult kidney transplant recipients.

Authors:  Katherine A Barraclough; Nicole M Isbel; Carl M Kirkpatrick; Katie J Lee; Paul J Taylor; David W Johnson; Scott B Campbell; Diana R Leary; Christine E Staatz
Journal:  Br J Clin Pharmacol       Date:  2011-02       Impact factor: 4.335

3.  The CYP3A biomarker 4β-hydroxycholesterol does not improve tacrolimus dose predictions early after kidney transplantation.

Authors:  Elisabet Størset; Kristine Hole; Karsten Midtvedt; Stein Bergan; Espen Molden; Anders Åsberg
Journal:  Br J Clin Pharmacol       Date:  2017-02-27       Impact factor: 4.335

4.  Population pharmacokinetics of tacrolimus in whole blood and plasma in asian liver transplant patients.

Authors:  Wai Johnn Sam; Lai San Tham; Michael J Holmes; Marion Aw; Seng Hock Quak; Kang Hoe Lee; Seng Gee Lim; Krishnan Prabhakaran; Sui Yung Chan; Paul C Ho
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

Review 5.  Applications of quantitative pharmacodynamic effect markers in drug target identification and therapy development.

Authors:  Robert M Straubinger; Wojciech Krzyzanski; Crystal M Francoforte; Jun Qu
Journal:  Anticancer Res       Date:  2007 May-Jun       Impact factor: 2.480

6.  Impact of CYP3A5 genetic polymorphism on pharmacokinetics of tacrolimus in healthy Japanese subjects.

Authors:  Yoshiharu Suzuki; Masato Homma; Kosuke Doki; Fumio Itagaki; Yukinao Kohda
Journal:  Br J Clin Pharmacol       Date:  2008-03-13       Impact factor: 4.335

7.  Determination of the most influential sources of variability in tacrolimus trough blood concentrations in adult liver transplant recipients: a bottom-up approach.

Authors:  Cécile Gérard; Jeanick Stocco; Anne Hulin; Benoit Blanchet; Céline Verstuyft; François Durand; Filomena Conti; Christophe Duvoux; Michel Tod
Journal:  AAPS J       Date:  2014-02-14       Impact factor: 4.009

8.  Population pharmacokinetic analysis of tacrolimus in the first year after pediatric liver transplantation.

Authors:  V Guy-Viterbo; A Scohy; R K Verbeeck; R Reding; P Wallemacq; Flora Tshinanu Musuamba
Journal:  Eur J Clin Pharmacol       Date:  2013-04-16       Impact factor: 2.953

Review 9.  Clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplantation.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

10.  Validation of tacrolimus equation to predict troughs using genetic and clinical factors.

Authors:  Chaitali Passey; Angela K Birnbaum; Richard C Brundage; David P Schladt; William S Oetting; Robert E Leduc; Ajay K Israni; Weihua Guan; Arthur J Matas; Pamala A Jacobson
Journal:  Pharmacogenomics       Date:  2012-07       Impact factor: 2.533

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