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Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients

This study quantifies the interaction between tacrolimus (TAC) and mycophenolate mofetil (MMF) in kidney transplant recipients. Concentrations of TAC, mycophenolic acid (MPA), and metabolites were analyzed and relevant genotypes were determined from 32 patients. A population model was developed to e...

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Autores principales: Kim, Jae Hyun, Han, Nayoung, Kim, Myeong Gyu, Kim, Young Won, Jang, Hayoung, Yun, Hwi-Yeol, Yu, Mi-Yeon, Kim, In-Wha, Kim, Yon Su, Oh, Jung Mi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692323/
https://www.ncbi.nlm.nih.gov/pubmed/31409869
http://dx.doi.org/10.1038/s41598-019-47876-0
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author Kim, Jae Hyun
Han, Nayoung
Kim, Myeong Gyu
Kim, Young Won
Jang, Hayoung
Yun, Hwi-Yeol
Yu, Mi-Yeon
Kim, In-Wha
Kim, Yon Su
Oh, Jung Mi
author_facet Kim, Jae Hyun
Han, Nayoung
Kim, Myeong Gyu
Kim, Young Won
Jang, Hayoung
Yun, Hwi-Yeol
Yu, Mi-Yeon
Kim, In-Wha
Kim, Yon Su
Oh, Jung Mi
author_sort Kim, Jae Hyun
collection PubMed
description This study quantifies the interaction between tacrolimus (TAC) and mycophenolate mofetil (MMF) in kidney transplant recipients. Concentrations of TAC, mycophenolic acid (MPA), and metabolites were analyzed and relevant genotypes were determined from 32 patients. A population model was developed to estimate the effect of interaction. Concentrations of TAC were simulated in clinical scenarios and dose-adjusted trough concentrations per dose (C/D) were compared. Effect of interaction was described as the inverse exponential relationship. Major determinants of trough levels of TAC were CYP3A5 genotype and interaction with MPA. The absolute difference in C/D of TAC according to co-administered MMF was higher in CYP3A5 non-expressers (0.55 ng/mL) than in CYP3A5 expressers (0.35 ng/mL). The effect of MMF in determining the TAC exposure is more pronounced in CYP3A5 non-expressers. Based on population pharmacokinetic model, we suggest the TAC dosing algorithm considering the effects of CYP3A5 and MMF drug interaction in stable kidney transplant recipients.
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spelling pubmed-66923232019-08-19 Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients Kim, Jae Hyun Han, Nayoung Kim, Myeong Gyu Kim, Young Won Jang, Hayoung Yun, Hwi-Yeol Yu, Mi-Yeon Kim, In-Wha Kim, Yon Su Oh, Jung Mi Sci Rep Article This study quantifies the interaction between tacrolimus (TAC) and mycophenolate mofetil (MMF) in kidney transplant recipients. Concentrations of TAC, mycophenolic acid (MPA), and metabolites were analyzed and relevant genotypes were determined from 32 patients. A population model was developed to estimate the effect of interaction. Concentrations of TAC were simulated in clinical scenarios and dose-adjusted trough concentrations per dose (C/D) were compared. Effect of interaction was described as the inverse exponential relationship. Major determinants of trough levels of TAC were CYP3A5 genotype and interaction with MPA. The absolute difference in C/D of TAC according to co-administered MMF was higher in CYP3A5 non-expressers (0.55 ng/mL) than in CYP3A5 expressers (0.35 ng/mL). The effect of MMF in determining the TAC exposure is more pronounced in CYP3A5 non-expressers. Based on population pharmacokinetic model, we suggest the TAC dosing algorithm considering the effects of CYP3A5 and MMF drug interaction in stable kidney transplant recipients. Nature Publishing Group UK 2019-08-13 /pmc/articles/PMC6692323/ /pubmed/31409869 http://dx.doi.org/10.1038/s41598-019-47876-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kim, Jae Hyun
Han, Nayoung
Kim, Myeong Gyu
Kim, Young Won
Jang, Hayoung
Yun, Hwi-Yeol
Yu, Mi-Yeon
Kim, In-Wha
Kim, Yon Su
Oh, Jung Mi
Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients
title Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients
title_full Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients
title_fullStr Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients
title_full_unstemmed Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients
title_short Model based development of tacrolimus dosing algorithm considering CYP3A5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients
title_sort model based development of tacrolimus dosing algorithm considering cyp3a5 genotypes and mycophenolate mofetil drug interaction in stable kidney transplant recipients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692323/
https://www.ncbi.nlm.nih.gov/pubmed/31409869
http://dx.doi.org/10.1038/s41598-019-47876-0
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