Steroid–tacrolimus drug–drug interaction and the effect of CYP3A genotypes

Author:

Saqr Abdelrahman1ORCID,Al‐Kofahi Mahmoud12ORCID,Mohamed Moataz1ORCID,Dorr Casey34ORCID,Remmel Rory P.5ORCID,Onyeaghala Guillaume34ORCID,Oetting William S.1ORCID,Guan Weihua6ORCID,Mannon Roslyn B.7ORCID,Matas Arthur J.8ORCID,Israni Ajay34910ORCID,Jacobson Pamala A.1ORCID

Affiliation:

1. Experimental and Clinical Pharmacology University of Minnesota College of Pharmacy Minneapolis Minnesota USA

2. Gilead Sciences, Inc. Foster City California USA

3. Hennepin Healthcare Research Institute Minneapolis Minnesota USA

4. Department of Medicine University of Minnesota Minneapolis Minnesota USA

5. Department of Medicinal Chemistry, College of Pharmacy University of Minnesota Minneapolis Minnesota USA

6. Division of Biostatistics, School of Public Health University of Minnesota Minneapolis Minnesota USA

7. Division of Nephrology, Department of Internal Medicine University of Nebraska Omaha Nebraska USA

8. Department of Surgery University of Minnesota Minneapolis Minnesota USA

9. Department of Epidemiology & Community Health University of Minnesota Minneapolis Minnesota USA

10. Department of Medicine, Hennepin Healthcare Minneapolis Minnesota USA

Abstract

AbstractAimsTacrolimus, metabolized by CYP3A4 and CYP3A5 enzymes, is susceptible to drug–drug interactions (DDI). Steroids induce CYP3A genes to increase tacrolimus clearance, but the effect is variable. We hypothesized that the extent of the steroid–tacrolimus DDI differs by CYP3A4/5 genotypes.MethodsKidney transplant recipients (n = 2462) were classified by the number of loss of function alleles (LOF) (CYP3A5*3, *6 and *7 and CYP3A4*22) and steroid use at each tacrolimus trough in the first 6 months post‐transplant. A population pharmacokinetic analysis was performed by nonlinear mixed‐effect modelling (NONMEM) and stepwise covariate modelling to define significant covariates affecting tacrolimus clearance. A stochastic simulation was performed and translated into a Shiny application with the mrgsolve and Shiny packages in R.ResultsSteroids were associated with modestly higher (3%–11.8%) tacrolimus clearance. Patients with 0‐LOF alleles receiving steroids showed the greatest increase (11.8%) in clearance compared to no steroids, whereas those with 2‐LOFs had a negligible increase (2.6%) in the presence of steroids. Steroid use increased tacrolimus clearance by 5% and 10.3% in patients with 1‐LOF and 3/4‐LOFs, respectively.ConclusionsSteroids increase the clearance of tacrolimus but vary slightly by CYP3A genotype. This is important in individuals of African ancestry who are more likely to carry no LOF alleles, may more commonly receive steroid treatment, and will need higher tacrolimus doses.

Funder

National Institutes of Health

National Institute of Allergy and Infectious Diseases

Publisher

Wiley

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