The Impact of Single Nucleotide Polymorphisms on the Pharmacokinetics of Tacrolimus in Kidney Allograft Recipients of Northern-West, Iran.
Elaheh Jabbari HaghAli MousaviSeyyedeh Mina HejazianMehdi HaghiSamaneh EsfahanianElham AhmadianSepideh Zununi VahedMohammad Reza ArdalanPublished in: Advanced pharmaceutical bulletin (2022)
Purpose: Calcineurin inhibitors (CNIs) such as tacrolimus are a major immunosuppressive therapy after renal transplantation, which inhibit cytokine expression. The pharmacokinetics of such drugs is influenced by cytochrome P450 (CYP) enzymes, multi-drug resistance-1 (MDR-1), and C25385T pregnane X receptor (PXR). This study aimed to investigate the impact of single nucleotide polymorphisms (SNP) in these genes on the ratio of tacrolimus level per drug dosage (C/D ratio), acute graft rejection, and viral infections. Methods: Kidney transplantation recipients (n=65) under similar immunosuppressive treatment were included. Amplification refractory mutation systempolymerase chain reaction (ARMS-PCR) method was applied to amplify the loci containing the SNPs of interest. Results: Overall, 65 patients with a male/female ratio of 37/28 were included. The mean age was 38±1.75 years. The variant allele frequencies of CYP3A5*3, MDR-1 C3435T, and PXR C25385T were 95.38, 20.77, and 26.92%, respectively. No significant correlations were found between the studied SNPs and the tacrolimus C/D ratios. However, there was a significant difference in the C/D ratios at 2 and 8 weeks in homozygote CYP3A5 *3/* 3 carriers ( P =0.015). No significant association was found between the studied polymorphisms and viral infections and acute graft rejection ( P >0.05). Conclusion: Homozygote CYP3A5 *3/* 3 genotype could influence the tacrolimus metabolism rate (C/D ratio).
Keyphrases
- kidney transplantation
- genome wide
- liver failure
- drug induced
- multidrug resistant
- sars cov
- respiratory failure
- dna methylation
- stem cells
- aortic dissection
- intensive care unit
- binding protein
- gene expression
- emergency department
- bone marrow
- cell therapy
- gestational age
- bioinformatics analysis
- high density
- preterm birth