Literature DB >> 32985896

Tacrolimus Starting Dose Prediction Based on Genetic Polymorphisms and Clinical Factors in Chinese Renal Transplant Recipients.

Peile Wang1,2, Qiwen Zhang1,2, Xueke Tian1,2, Jing Yang1,2, Xiaojian Zhang1,2.   

Abstract

Aims: Tacrolimus has extensive pharmacokinetic variability among patients and a narrow therapeutic window. The U.S. Clinical Pharmacogenetics Implementation Consortium recommends a starting dose for tacrolimus of 0.15-0.3 mg/kg/day, which is much higher compared with 0.05-0.15 mg/kg/day used in China. The purpose of this study was to investigate the influence of clinical factors and single nucleotide polymorphisms (SNPs) on tacrolimus concentrations in Chinese renal transplant recipients.
Methods: This study enrolled 406 tacrolimus-treated patients. After renal transplantation, the first tacrolimus trough concentration and corresponding clinical information were collected from all patients. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry was used to genotype 15 SNPs. The relationship between the genetic and clinical factors and dose-adjusted tacrolimus trough concentration was examined. The tacrolimus starting dose was predicted using a classification and regression tree analysis.
Results: Examination of the 15 SNPs and several clinical factors identified the CYP3A5 genotype (p = 5.6 × 10-11) and hemoglobin (p = 8.4 × 10-10) as the most significant determinants of tacrolimus C0/D. Accordingly, a concise tacrolimus recommendation dosage model, a classification scheme, and a regression tree were developed.
Conclusion: A new classification and regression tree model was developed for establishing the starting dose of tacrolimus based on the CYP3A5 genotype and hemoglobin values. This result may help clinicians prescribe an appropriate initial tacrolimus dose. ClinicalTrials.gov ID: 2020-KY-147.

Entities:  

Keywords:  CYP3A5 genotype; Chinese renal transplant recipients; dosage prediction; hemoglobin; tacrolimus

Mesh:

Substances:

Year:  2020        PMID: 32985896     DOI: 10.1089/gtmb.2020.0077

Source DB:  PubMed          Journal:  Genet Test Mol Biomarkers        ISSN: 1945-0257


  3 in total

1.  The Use of Machine Learning Algorithms and the Mass Spectrometry Lipidomic Profile of Serum for the Evaluation of Tacrolimus Exposure and Toxicity in Kidney Transplant Recipients.

Authors:  Dan Burghelea; Tudor Moisoiu; Cristina Ivan; Alina Elec; Adriana Munteanu; Ștefania D Iancu; Anamaria Truta; Teodor Paul Kacso; Oana Antal; Carmen Socaciu; Florin Ioan Elec; Ina Maria Kacso
Journal:  Biomedicines       Date:  2022-05-17

2.  Pharmacogenetics Based Dose Prediction Model for Initial Tacrolimus Dosing in Renal Transplant Recipients.

Authors:  Lekshmy Srinivas; Noble Gracious; Radhakrishnan R Nair
Journal:  Front Pharmacol       Date:  2021-11-30       Impact factor: 5.810

Review 3.  Use of Pharmacogenetics to Optimize Immunosuppressant Therapy in Kidney-Transplanted Patients.

Authors:  Valentina Urzì Brancati; Carmelo Scarpignato; Letteria Minutoli; Giovanni Pallio
Journal:  Biomedicines       Date:  2022-07-26
  3 in total

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