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Saqr A, Al-Kofahi M, Mohamed M, Dorr C, Remmel RP, Onyeaghala G, Oetting WS, Guan W, Mannon RB, Matas AJ, Israni A, Jacobson PA. Steroid-tacrolimus drug-drug interaction and the effect of CYP3A genotypes. Br J Clin Pharmacol 2024. [PMID: 38994750 DOI: 10.1111/bcp.16172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/13/2024] [Accepted: 06/18/2024] [Indexed: 07/13/2024] Open
Abstract
AIMS Tacrolimus, 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. METHODS Kidney 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. RESULTS Steroids 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. CONCLUSIONS Steroids 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.
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Affiliation(s)
- Abdelrahman Saqr
- Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, Minnesota, USA
| | - Mahmoud Al-Kofahi
- Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, Minnesota, USA
- Gilead Sciences, Inc., Foster City, California, USA
| | - Moataz Mohamed
- Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, Minnesota, USA
| | - Casey Dorr
- Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Rory P Remmel
- Department of Medicinal Chemistry, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA
| | - Guillaume Onyeaghala
- Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - William S Oetting
- Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, Minnesota, USA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Roslyn B Mannon
- Division of Nephrology, Department of Internal Medicine, University of Nebraska, Omaha, Nebraska, USA
| | - Arthur J Matas
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Ajay Israni
- Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Epidemiology & Community Health, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Medicine, Hennepin Healthcare, Minneapolis, Minnesota, USA
| | - Pamala A Jacobson
- Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, Minnesota, USA
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Zuo M, Shang Y, Guo Y, Sun Y, Xu G, Chen J, Zhu L. Population Pharmacokinetics of Tacrolimus in Pediatric Patients With Umbilical Cord Blood Transplant. J Clin Pharmacol 2023; 63:298-306. [PMID: 36196568 DOI: 10.1002/jcph.2162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/27/2022] [Indexed: 11/11/2022]
Abstract
Tacrolimus was frequently used in pediatric patients with umbilical cord blood transplant for the prevention of graft-versus-host disease. The aim of the present study was to evaluate the population pharmacokinetics of tacrolimus among pediatric patients with umbilical cord blood transplant and find potential influenced factors. A total of 275 concentrations from 13 pediatric patients were used to build a polulation pharmacokinetic model using a nonlinear mixed-effects modeling approach. The impact of demographic features, biological characteristics, and concomitant medications, including sex, age, body weight, postoperative day, white blood cell count, red blood cell count, hemoglobin, platelets, hematocrit, blood urea nitrogen, creatinine, aspartate transaminase, alanine transaminase, total bilirubin, albumin, and total protein were investigated. The pharmacokinetics of tacrolimus were best described by a 1-compartment model with first- and zero-order mixed absorption and first-order elimination. The clearance and volume of distribution of tacrolimus were 1.93 L/h and 75.1 L, respectively. A covariate analysis identified that postoperative day and co-administration with trimethoprim-sulfamethoxazole were significant covariates influencing clearance of tacrolimus. Frequent blood monitoring and dose adjustment might be needed with the prolongation of postoperative day and coadministration with trimethoprim-sulfamethoxazole.
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Affiliation(s)
- Meiling Zuo
- Pharmaceutical College, Tianjin Medical University, Tianjin, China
| | - Yue Shang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ye Guo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yuxuan Sun
- Pharmaceutical College, Tianjin Medical University, Tianjin, China
| | - Gaoqi Xu
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Jingtao Chen
- School of Statistics and Data Science, Nankai University, Tianjin, China
| | - Liqin Zhu
- Pharmaceutical College, Tianjin Medical University, Tianjin, China.,Department of Pharmacy, Tianjin First Central Hospital, Tianjin, China
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Gago‐Sánchez AI, Font P, Cárdenas M, Aumente MD, Del Prado JR, Calleja MÁ. Real clinical impact of drug-drug interactions of immunosuppressants in transplant patients. Pharmacol Res Perspect 2021; 9:e00892. [PMID: 34755493 PMCID: PMC8578873 DOI: 10.1002/prp2.892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 10/23/2021] [Indexed: 11/27/2022] Open
Abstract
The main objective was to determine the prevalence of real drug-drug interactions (DDIs) of immunosuppressants in transplant patients. We conducted a prospective, observational 1-year study at a tertiary hospital, including all transplanted patients. We evaluated data from monitoring blood concentrations of immunosuppressive drugs and adverse drug events (ADEs) caused by DDIs. The DDIs were classified as C, D, or X according to their Lexi-Interact rating (C = monitor therapy, D = consider therapy modification, X = avoid combination). The clinical importance of real DDIs was expressed in terms of patient outcomes. The causality of DDIs was determined using Drug Interaction Probability Scale. The data were analyzed using Statistical Package for Social Sciences v. 25.0. A total of 309 transplant patients were included. Their mean age was 52.0 ± 14.7 years (18-79) and 69.9% were male. The prevalence of real DDIs was 21.7%. Immunosuppressive drugs administered with antifungal azoles and tacrolimus (TAC) with nifedipine have a great clinical impact. Real DDIs caused ADEs in 22 patients. The most common clinical outcome was nephrotoxicity (1.6%; n = 5), followed by hypertension (1.3%; n = 4). Suggestions for avoiding category D and X DDIs included: changing the immunosuppressant dosage, using paracetamol instead of non-steroidal anti-inflammatory drugs, and interrupting atorvastatin. The number of drugs prescribed and having been prescribed TAC was associated with an increased risk of real DDIs. There are many potential DDIs described in the literature but only a small percentage proved to be real DDIs, based on the patients´ outcomes.
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Affiliation(s)
- Ana Isabel Gago‐Sánchez
- Pharmacy DepartmentHospital Universitario Reina Sofía/Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)/University of CórdobaCórdobaSpain
| | - Pilar Font
- Rheumatology DepartmentHospital Universitario Reina Sofía/Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)/University of CórdobaCórdobaSpain
| | - Manuel Cárdenas
- Pharmacy DepartmentHospital Universitario Reina Sofía/Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)/University of CórdobaCórdobaSpain
| | - María Dolores Aumente
- Pharmacy DepartmentHospital Universitario Reina Sofía/Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)/University of CórdobaCórdobaSpain
| | - José Ramón Del Prado
- Pharmacy DepartmentHospital Universitario Reina Sofía/Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)/University of CórdobaCórdobaSpain
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