Literature DB >> 20521216

Current progress in pharmacogenetics and individualized immunosuppressive drug dosing in organ transplantation.

Nicholas Ware1, Iain A M MacPhee.   

Abstract

The immunosuppressive drugs used in organ transplantation typically have a narrow therapeutic index, with wide variation in the blood concentration achieved from a given dose observed between individuals. This issue has been addressed through the use of therapeutic drug monitoring (TDM), but it may take 5 to 7 days to reach target blood concentrations using this approach. This timeline is not conducive to achieving sufficiently high concentrations in all patients to prevent graft rejection without exposing the patient to excessive toxicity over the critical 2- to 3-day period following transplantation. SNPs in drug-metabolizing enzymes and transporter proteins have been associated with the pharmacokinetic and pharmacodynamic characteristics of immunosuppressive drugs. Data suggest that genetic prediction of the optimal initial drug dose leads to earlier attainment of target blood concentrations compared with using the standard initial dose. The pharmacogenetic strategy that is closest to translation into clinical practice is the use of the cytochrome P450 (CYP)3A5 genotype to predict the optimal initial dose for tacrolimus. Genetic prediction of the optimal dose may be particularly useful for drugs with a long half-life, such as sirolimus, which require several days to achieve a steady state following the implementation of a change in drug dosing, resulting in a long response-time for TDM. The influence of genetic factors on intracellular drug concentrations and the consequences for efficacy and toxicity are an emerging area of research. The SNPs described in this process could be added to existing molecular tissue typing methodology at minimal extra financial expense.

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Year:  2010        PMID: 20521216

Source DB:  PubMed          Journal:  Curr Opin Mol Ther        ISSN: 1464-8431


  6 in total

1.  Rapamycin with antiretroviral therapy in AIDS-associated Kaposi sarcoma: an AIDS Malignancy Consortium study.

Authors:  Susan E Krown; Debasmita Roy; Jeannette Y Lee; Bruce J Dezube; Erin G Reid; Raman Venkataramanan; Kelong Han; Ethel Cesarman; Dirk P Dittmer
Journal:  J Acquir Immune Defic Syndr       Date:  2012-04-15       Impact factor: 3.731

Review 2.  Pharmacogenomics and personalized medicine: a review focused on their application in the Chinese population.

Authors:  Wen-ying Shu; Jia-li Li; Xue-ding Wang; Min Huang
Journal:  Acta Pharmacol Sin       Date:  2015-04-20       Impact factor: 6.150

3.  A published pharmacogenetic algorithm was poorly predictive of tacrolimus clearance in an independent cohort of renal transplant recipients.

Authors:  Oliver Boughton; Gabor Borgulya; Maurizio Cecconi; Salim Fredericks; Michelle Moreton-Clack; Iain A M MacPhee
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

4.  Utilization of an EMR-biorepository to identify the genetic predictors of calcineurin-inhibitor toxicity in heart transplant recipients.

Authors:  Matthew Oetjens; William S Bush; Kelly A Birdwell; Holli H Dilks; Erica A Bowton; Joshua C Denny; Russell A Wilke; Dan M Roden; Dana C Crawford
Journal:  Pac Symp Biocomput       Date:  2014

5.  The clinical value of enzyme-multiplied immunoassay technique monitoring the plasma concentrations of cyclosporine A after renal transplantation.

Authors:  Xiao-Hui Luo; Wu-Jun Xue; Pu-Xun Tian; Xiao-Ming Ding; Hang Yan; He-Li Xiang; Yang Li
Journal:  J Pharm Anal       Date:  2012-01-30

6.  Laboratory Medicine in the Scope of Proteomics and Genomics.

Authors:  Urszula Demkow
Journal:  EJIFCC       Date:  2010-10-29
  6 in total

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