Genetic Polymorphisms and Tacrolimus Dose Requirements: Potential Implications for Ghanaian patients with End-stage renal disease

Author:

Kwakyi Edward1,Nartey Edmund Tetteh2,Otabil Michael Kobina3,Asiedu-Gyekye Isaac3,Ahorhorlu Samuel Yao2,Bioma Vincent2,Kudzi William2

Affiliation:

1. Korle-Bu Teaching Hospital

2. University of Ghana Medical School

3. University of Ghana School of Pharmacy

Abstract

Abstract Background: End Stage Renal Disease (ESRD) is an irreversible damage of a person’s kidney which could be fatal. However, because transplants may trigger an immune response with potential organ rejection, immunosuppressants such as tacrolimus dosing is required. Objective: To determine genetic polymorphisms in CYP3A5, CYP3A4 and MDR1 genes of Ghanaian patients with ESRD that could affect tacrolimus dose requirements. Method: This cross-sectional study comprised of 87 ESRD patients. Clinical and demographic data were collected and genomic DNA isolated. Samples were genotyped for specific SNPs using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) and analyzed against tacrolimus dose and trough levels of transplant recipients. Results: Four, 4/87 (4.6%) patients harbored the homozygous CYP3A5*3 (6986A˃G) and 69/87 (79.31%) patients carried the homozygous CYP3A4*1B (-290A˃G), 4 of these were transplant recipients. One, 1/87 (1.15%) patient had the heterozygous MDR1_Ex21 (2677G˃T and another one 1/87 (1.15%) had the homozygous MDR1_Ex26 (3435C˃T). Four transplant recipients with the homozygous mutant CYP3A4*1B/*1B had significantly lower tacrolimus trough levels (average 5.95± 1.8ng/ml) compared with that required by a fifth transplant recipient with the heterozygous genotype (10.3ng/ml). Conclusion Most participants with ESRD harbored SNPs of CYP3A4 and CYP3A5 that could affect tacrolimus dose requirement in potential transplant recipients.

Publisher

Research Square Platform LLC

Reference13 articles.

1. Abbasi MA, Chertow GM, Hall YN. End-stage renal disease. BMJ Clin Evid. 2010;2010.

2. Kovesdy CP. Epidemiology of chronic kidney disease: an update 2022. Kidney Int Suppl (2011). 2022;12(1):7–11.

3. International Network of Chronic Kidney Disease cohort studies (iNET-CKD): a global network of chronic kidney disease cohorts;Dienemann T;BMC Nephrol,2016

4. The pharmacogenetics of calcineurin inhibitors: one step closer toward individualized immunosuppression?;Hesselink DA;Pharmacogenomics,2005

5. Pharmaceutical and genetic determinants for interindividual differences of tacrolimus bioavailability in renal transplant recipients;Niioka T;Eur J Clin Pharmacol,2013

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