Literature DB >> 24184751

Total plasma protein effect on tacrolimus elimination in kidney transplant patients--population pharmacokinetic approach.

Bojana Golubović1, Katarina Vučićević2, Dragana Radivojević3, Sandra Vezmar Kovačević2, Milica Prostran4, Branislava Miljković2.   

Abstract

Data from routine therapeutic drug monitoring of 105 adult kidney transplant recipients were used for population pharmacokinetic analysis which was performed using a non-linear mixed-effects modeling. The effect of demographic and clinical factors on tacrolimus clearance was evaluated. Following the initiation of treatment with tacrolimus, the results of our study indicate a decrease of the drug clearance on day 15, 1 and 6 months after transplantation for 4.4%, 6.3% and 10.92%, respectively. Our model suggests a negative correlation between tacrolimus clearance and haematocrit. According to final model, clearance decreases with increasing of aspartate aminotransferase. Our results demonstrated that CL/F increases with patients' weight. This study reveals incensement for 10.4% in tacrolimus clearance with alteration of patients' minimal measured total protein levels to upper normal range. The findings of this study explore various factors of tacrolimus pharmacokinetic variability and point out a relationship between tacrolimus clearance and total plasma protein. Developed model demonstrates the feasibility of estimation of individual tacrolimus clearance and may allow rational individualization of tacrolimus dosing in kidney transplant patients.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Kidney transplantation; Plasma proteins; Population pharmacokinetics; Tacrolimus; Therapeutic monitoring

Mesh:

Substances:

Year:  2013        PMID: 24184751     DOI: 10.1016/j.ejps.2013.10.008

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  9 in total

1.  External evaluation of published population pharmacokinetic models of tacrolimus in adult renal transplant recipients.

Authors:  Chen-Yan Zhao; Zheng Jiao; Jun-Jun Mao; Xiao-Yan Qiu
Journal:  Br J Clin Pharmacol       Date:  2016-02-26       Impact factor: 4.335

2.  Predictive Performance of Published Tacrolimus Population Pharmacokinetic Models in Thai Kidney Transplant Patients.

Authors:  Janthima Methaneethorn; Manupat Lohitnavy; Kamonwan Onlamai; Nattawut Leelakanok
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2021-11-24       Impact factor: 2.441

Review 3.  Population Pharmacokinetic Modelling and Bayesian Estimation of Tacrolimus Exposure: Is this Clinically Useful for Dosage Prediction Yet?

Authors:  Emily Brooks; Susan E Tett; Nicole M Isbel; Christine E Staatz
Journal:  Clin Pharmacokinet       Date:  2016-11       Impact factor: 6.447

4.  Toward a robust tool for pharmacokinetic-based personalization of treatment with tacrolimus in solid organ transplantation: A model-based meta-analysis approach.

Authors:  Tom M Nanga; Thao T P Doan; Pierre Marquet; Flora T Musuamba
Journal:  Br J Clin Pharmacol       Date:  2019-12-17       Impact factor: 4.335

5.  Tacrolimus Population Pharmacokinetics and Multiple CYP3A5 Genotypes in Black and White Renal Transplant Recipients.

Authors:  Olivia Campagne; Donald E Mager; Daniel Brazeau; Rocco C Venuto; Kathleen M Tornatore
Journal:  J Clin Pharmacol       Date:  2018-05-18       Impact factor: 3.126

6.  Evaluating tacrolimus pharmacokinetic models in adult renal transplant recipients with different CYP3A5 genotypes.

Authors:  Can Hu; Wen-Jun Yin; Dai-Yang Li; Jun-Jie Ding; Ling-Yun Zhou; Jiang-Lin Wang; Rong-Rong Ma; Kun Liu; Ge Zhou; Xiao-Cong Zuo
Journal:  Eur J Clin Pharmacol       Date:  2018-07-17       Impact factor: 2.953

7.  A population pharmacokinetic model to predict the individual starting dose of tacrolimus in adult renal transplant recipients.

Authors:  L M Andrews; D A Hesselink; R H N van Schaik; T van Gelder; J W de Fijter; N Lloberas; L Elens; D J A R Moes; B C M de Winter
Journal:  Br J Clin Pharmacol       Date:  2019-01-17       Impact factor: 4.335

8.  Exploring Sirolimus Pharmacokinetic Variability Using Data Available from the Routine Clinical Care of Renal Transplant Patients - Population Pharmacokinetic Approach.

Authors:  Bojana Golubović; Katarina Vučićević; Dragana Radivojević; Sandra Vezmar Kovačević; Milica Prostran; Branislava Miljković
Journal:  J Med Biochem       Date:  2019-05-11       Impact factor: 3.402

9.  Predicting model-informed precision dosing: A test-case in tacrolimus dose adaptation for kidney transplant recipients.

Authors:  Ruben Faelens; Nicolas Luyckx; Dirk Kuypers; Thomas Bouillon; Pieter Annaert
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-02-02
  9 in total

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