Population pharmacokinetic analyses of tacrolimus in non-transplant patients: a systematic review

Eur J Clin Pharmacol. 2023 Jul;79(7):897-913. doi: 10.1007/s00228-023-03503-6. Epub 2023 Jun 1.

Abstract

Background and objectives: Tacrolimus (TAC) has been increasingly used in patients with non-transplant settings. Because of its large between-subject variability, several population pharmacokinetic (PPK) studies have been performed to facilitate individualized therapy. This review summarized published PPK models of TAC in non-transplant patients, aiming to clarify factors affecting PKs of TAC and identify the knowledge gap that may require further research.

Methods: The PubMed, Embase databases, and Cochrane Library, as well as related references, were searched from the time of inception of the databases to February 2023, to identify TAC population pharmacokinetic studies modeled in non-transplant patients using a non-linear mixed-effects modeling approach.

Results: Sixteen studies, all from Asian countries (China and Korea), were included in this study. Of these studies, eleven and four were carried out in pediatric and adult patients, respectively. One-compartment models were the commonly used structural models for TAC. The apparent clearance (CL/F) of TAC ranged from 2.05 to 30.9 L·h-1 (median of 14.9 L·h-1). Coadministered medication, genetic factors, and weight were the most common covariates affecting TAC-CL/F, and variability in the apparent volume of distribution (V/F) was largely explained by weight. Coadministration with Wuzhi capsules reduced CL/F by about 19 to 43%. For patients with CYP3A5*1*1 and *1*3 genotypes, the CL/F was 39-149% higher CL/F than patients with CYP3A5*1*1.

Conclusion: The optimal TAC dosage should be adjusted based on the patient's co-administration, body weight, and genetic information (especially CYP3A5 genotype). Further studies are needed to assess the generalizability of the published models to other ethnic groups. Moreover, external validation should be frequently performed to improve the clinical practicality of the models.

Keywords: Non-linear mixed effects model; Non-transplant patients; Population pharmacokinetics; Tacrolimus.

Publication types

  • Systematic Review
  • Review

MeSH terms

  • Adult
  • Child
  • Cytochrome P-450 CYP3A / genetics
  • Ethnicity
  • Genotype
  • Humans
  • Immunosuppressive Agents* / pharmacokinetics
  • Models, Biological
  • Tacrolimus* / pharmacokinetics

Substances

  • Tacrolimus
  • Immunosuppressive Agents
  • Cytochrome P-450 CYP3A