Pharmaceutics (Jun 2021)

Review of Pharmacokinetics and Pharmacogenetics in Atypical Long-Acting Injectable Antipsychotics

  • Francisco José Toja-Camba,
  • Nerea Gesto-Antelo,
  • Olalla Maroñas,
  • Eduardo Echarri Arrieta,
  • Irene Zarra-Ferro,
  • Miguel González-Barcia,
  • Enrique Bandín-Vilar,
  • Victor Mangas Sanjuan,
  • Fernando Facal,
  • Manuel Arrojo Romero,
  • Angel Carracedo,
  • Cristina Mondelo-García,
  • Anxo Fernández-Ferreiro

DOI
https://doi.org/10.3390/pharmaceutics13070935
Journal volume & issue
Vol. 13, no. 7
p. 935

Abstract

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Over the last two decades, pharmacogenetics and pharmacokinetics have been increasingly used in clinical practice in Psychiatry due to the high variability regarding response and side effects of antipsychotic drugs. Specifically, long-acting injectable (LAI) antipsychotics have different pharmacokinetic profile than oral formulations due to their sustained release characteristics. In addition, most of these drugs are metabolized by CYP2D6, whose interindividual genetic variability results in different metabolizer status and, consequently, into different plasma concentrations of the drugs. In this context, there is consistent evidence which supports the use of therapeutic drug monitoring (TDM) along with pharmacogenetic tests to improve safety and efficacy of antipsychotic pharmacotherapy. This comprehensive review aims to compile all the available pharmacokinetic and pharmacogenetic data regarding the three major LAI atypical antipsychotics: risperidone, paliperidone and aripiprazole. On the one hand, CYP2D6 metabolizer status influences the pharmacokinetics of LAI aripiprazole, but this relation remains a matter of debate for LAI risperidone and LAI paliperidone. On the other hand, developed population pharmacokinetic (popPK) models showed the influence of body weight or administration site on the pharmacokinetics of these LAI antipsychotics. The combination of pharmacogenetics and pharmacokinetics (including popPK models) leads to a personalized antipsychotic therapy. In this sense, the optimization of these treatments improves the benefit–risk balance and, consequently, patients’ quality of life.

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