Literature DB >> 12083321

Review: metabolism of immunosuppressant drugs.

Patrick Kelly1, Barry D Kahan.   

Abstract

Pharmacokinetic concepts provide a basis for individualization of drug therapy to optimize outcomes of the critical-dose drugs cyclosporine (CsA), tacrolimus (TRL), sirolimus (SRL), and mycophenolate mofetil (MMF). The therapeutic range of a drug-defined as the concentrations at which the desired pharmacologic effect is produced without adverse effects in most patients-is difficult to achieve given the significant inter-and intrapatient variability of the effects of a given concentration of therapeutic agents. Because of the highly variable rates of absorption of immunosuppressive agents and clinical responses to given concentrations in transplant recipients, individualization of drug regimens by using therapeutic drug monitoring (TDM) is essential to optimize pharmacotherapy Assessing proclivity for acute rejection episodes in transplant recipients currently is attempted by estimating drug exposure using the area under the time-concentration curve (AUC) for MMF and the average concentration (Cav, the quotient of the AUC and the dosing interval) for CsA. These studies have revealed that low oral bioavailability was a more important predictor of rejection than was a rapid clearance rate. In addition, the degree of intra-individual variability of AUC values correlated with the development of chronic rejection in renal transplant recipients. Similarly, TDM of MMF requires AUC determinations. Low mycophenolic acid (MPA) exposure, as estimated by the AUC, demonstrates a significant association with an increased risk of an acute renal transplant rejection episode. The AUC0-2 estimate of MPA shows good agreement with the 12-hr AUC estimate from samples obtained during the entire dosing interval. In contrast, trough levels are utilized during treatment with TRL or SRL, potent new immunosuppressive agents that display a pleiotropic array of side effects. Standard body measures, including weight and body mass index, poorly predict the concentration of SRL in whole blood. Large inter- and intra-individual differences displayed in patients also could not be predicted by demographic features or by laboratory parameters. When SRL is given with other immunosuppressive agents such as CsA, which shares with SRL mutual microsomal metabolism by the cytochrome P450 3A system, pharmacokinetic interactions occur, especially when the agents are administered concomitantly. Because of the critical-dose nature of most of the recent generation of immunosuppressive agents, therapeutic drug monitoring is becoming increasingly important in the selection of doses and treatment regimens.

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Year:  2002        PMID: 12083321     DOI: 10.2174/1389200023337630

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  16 in total

1.  Prediction of systemic exposure to cyclosporine in Japanese pediatric patients.

Authors:  Toshiyuki Sakaeda; Kazumoto Iijima; Kandai Nozu; Tsutomu Nakamura; Yuka Moriya; Mika Nishikawa; Atsushi Wada; Noboru Okamura; Masafumi Matsuo; Katsuhiko Okumura
Journal:  J Hum Genet       Date:  2006-09-14       Impact factor: 3.172

Review 2.  The influence of pharmacogenetics and cofactors on clinical outcomes in kidney transplantation.

Authors:  Nicolas Picard; Pierre Marquet
Journal:  Expert Opin Drug Metab Toxicol       Date:  2011-03-25       Impact factor: 4.481

Review 3.  Review article: The pharmacokinetics and pharmacodynamics of drugs used in inflammatory bowel disease treatment.

Authors:  E G Quetglas; A Armuzzi; S Wigge; G Fiorino; L Barnscheid; M Froelich; Silvio Danese
Journal:  Eur J Clin Pharmacol       Date:  2015-05-27       Impact factor: 2.953

4.  A Physician's Guide to Azathioprine Metabolite Testing.

Authors:  Carmen Cuffari
Journal:  Gastroenterol Hepatol (N Y)       Date:  2006-01

Review 5.  Clinical Pharmacokinetic and Pharmacodynamic Considerations in the Treatment of Inflammatory Bowel Disease.

Authors:  Luc J J Derijks; Dennis R Wong; Daniel W Hommes; Adriaan A van Bodegraven
Journal:  Clin Pharmacokinet       Date:  2018-09       Impact factor: 6.447

6.  Influence of dosing schedule on organ exposure to cyclosporin in pediatric hematopoietic stem cell transplantation: analysis with a PBPK model.

Authors:  Cécile Gérard; Nathalie Bleyzac; Pascal Girard; Gilles Freyer; Yves Bertrand; Michel Tod
Journal:  Pharm Res       Date:  2010-09-02       Impact factor: 4.200

7.  The calcineurin-NFAT axis controls allograft immunity in myeloid-derived suppressor cells through reprogramming T cell differentiation.

Authors:  Xiao Wang; Yujing Bi; Lixiang Xue; Jiongbo Liao; Xi Chen; Yun Lu; Zhengguo Zhang; Jian Wang; Huanrong Liu; Hui Yang; Guangwei Liu
Journal:  Mol Cell Biol       Date:  2014-12-01       Impact factor: 4.272

8.  Synthesis and Characterization of Bodipy-FL-Cyclosporine A as a Substrate for Multidrug Resistance-Linked P-Glycoprotein (ABCB1).

Authors:  Andaleeb Sajid; Natarajan Raju; Sabrina Lusvarghi; Shahrooz Vahedi; Rolf E Swenson; Suresh V Ambudkar
Journal:  Drug Metab Dispos       Date:  2019-08-01       Impact factor: 3.922

9.  Developmental pharmacokinetics of ciclosporin--a population pharmacokinetic study in paediatric renal transplant candidates.

Authors:  S Fanta; S Jönsson; J T Backman; M O Karlsson; K Hoppu
Journal:  Br J Clin Pharmacol       Date:  2007-07-27       Impact factor: 4.335

10.  External evaluation of population pharmacokinetic models for ciclosporin in adult renal transplant recipients.

Authors:  Jun-Jun Mao; Zheng Jiao; Hwi-Yeol Yun; Chen-Yan Zhao; Han-Chao Chen; Xiao-Yan Qiu; Ming-Kang Zhong
Journal:  Br J Clin Pharmacol       Date:  2017-11-03       Impact factor: 4.335

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