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[Pharmacogenetics of immunosuppressants].

Authors: Cojutti P. G.; Baraldo M.;

[Pharmacogenetics of immunosuppressants].

Abstract

Individualized drug therapy with immunosuppressants is an hot topic in transplantation. Therapeutic drug monitoring (TDM) is currently utilized to guide therapy, but toxic or subtherapeutic concentrations can only be identified after the drug is administered. Pharmacogenetics, by studying the relationship between a human genetic difference and drug response, holds great promises in optimizing immunosuppressive drug prescribing for solid organ transplantation.Nevertheless, a complete translation in the clinic has lagged behind,due to the overall complexity of the genetic approach, and the lack of sound evidence of identified genetic polymorphisms in ultimately explaining drug exposure. However, for tacrolimus it is likely that a genotype-based drug dosage can benefit patient outcome, while for cyclosporine data appear less convincing. Mycophenolic acid undergoes a complex metabolic pathway and various genes affecting drug disposition are under investigations, with promising results for some of them of being of value in aiding clinicians in decision making. Finally, for sirolimus and everolimus the lack of data and the absence of large prospective studies do not allow to draw any conclusion.

Keywords

Graft Rejection, acido micofenolico, farmacogenetica, immunosoppressori, tacrolimus, Calcineurin Inhibitors, Humans, Immunosuppressive Agents

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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