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Developing a mechanistic understanding of the nonlinear pharmacokinetics of letermovir and prospective drug interaction with everolimus using physiological‐based pharmacokinetic modeling

Letermovir is approved for use in cytomegalovirus‐seropositive hematopoietic stem cell transplant recipients and is investigated in other transplant settings. Nonlinear pharmacokinetics (PKs) were observed in clinical studies after intravenous and oral dosing across a wide dose range, including the...

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Autores principales: Menzel, Karsten, Kuo, Yuhsin, Chen, Dapeng, Hartmann, Georgy, Wang, Ying‐Hong, Cho, Carolyn R., McCrea, Jacqueline B., Asari, Kazuhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264951/
https://www.ncbi.nlm.nih.gov/pubmed/37085998
http://dx.doi.org/10.1111/cts.13509
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author Menzel, Karsten
Kuo, Yuhsin
Chen, Dapeng
Hartmann, Georgy
Wang, Ying‐Hong
Cho, Carolyn R.
McCrea, Jacqueline B.
Asari, Kazuhiko
author_facet Menzel, Karsten
Kuo, Yuhsin
Chen, Dapeng
Hartmann, Georgy
Wang, Ying‐Hong
Cho, Carolyn R.
McCrea, Jacqueline B.
Asari, Kazuhiko
author_sort Menzel, Karsten
collection PubMed
description Letermovir is approved for use in cytomegalovirus‐seropositive hematopoietic stem cell transplant recipients and is investigated in other transplant settings. Nonlinear pharmacokinetics (PKs) were observed in clinical studies after intravenous and oral dosing across a wide dose range, including the efficacious doses of 240 and 480 mg. A physiologically‐based PK (PBPK) model for letermovir was built to develop a plausible explanation for the nonlinear PKs observed in clinical studies. In vitro studies suggested that letermovir elimination and distribution are mediated by saturable uridine glucuronosyltransferases (UGT)‐metabolism and by saturable hepatic uptake via organic anion‐transporting polypeptides (OATP) 1B. A sensitivity analysis of parameters describing the metabolism and distribution mechanisms indicated that the greater than dose‐proportional increase in letermovir exposure is best described by a saturable OATP1B‐mediated transport. This PBPK model was further used to evaluate the drug interaction potential between letermovir and everolimus, an immunosuppressant that may be co‐administered with letermovir depending on regions. Because letermovir inhibits cytochrome P450 (CYP) 3A and everolimus is a known CYP3A substrate, an interaction when concomitantly administered is anticipated. The drug–drug interaction simulation confirmed that letermovir will likely increase everolimus are under the curve by 2.5‐fold, consistent with the moderate increase in exposure observed with midazolam in the clinic. The output highlights the importance of drug monitoring, which is common clinical practice for everolimus to maintain safe and efficacious drug concentrations in the targeted patient population when concomitantly administered with letermovir.
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spelling pubmed-102649512023-06-15 Developing a mechanistic understanding of the nonlinear pharmacokinetics of letermovir and prospective drug interaction with everolimus using physiological‐based pharmacokinetic modeling Menzel, Karsten Kuo, Yuhsin Chen, Dapeng Hartmann, Georgy Wang, Ying‐Hong Cho, Carolyn R. McCrea, Jacqueline B. Asari, Kazuhiko Clin Transl Sci Research Letermovir is approved for use in cytomegalovirus‐seropositive hematopoietic stem cell transplant recipients and is investigated in other transplant settings. Nonlinear pharmacokinetics (PKs) were observed in clinical studies after intravenous and oral dosing across a wide dose range, including the efficacious doses of 240 and 480 mg. A physiologically‐based PK (PBPK) model for letermovir was built to develop a plausible explanation for the nonlinear PKs observed in clinical studies. In vitro studies suggested that letermovir elimination and distribution are mediated by saturable uridine glucuronosyltransferases (UGT)‐metabolism and by saturable hepatic uptake via organic anion‐transporting polypeptides (OATP) 1B. A sensitivity analysis of parameters describing the metabolism and distribution mechanisms indicated that the greater than dose‐proportional increase in letermovir exposure is best described by a saturable OATP1B‐mediated transport. This PBPK model was further used to evaluate the drug interaction potential between letermovir and everolimus, an immunosuppressant that may be co‐administered with letermovir depending on regions. Because letermovir inhibits cytochrome P450 (CYP) 3A and everolimus is a known CYP3A substrate, an interaction when concomitantly administered is anticipated. The drug–drug interaction simulation confirmed that letermovir will likely increase everolimus are under the curve by 2.5‐fold, consistent with the moderate increase in exposure observed with midazolam in the clinic. The output highlights the importance of drug monitoring, which is common clinical practice for everolimus to maintain safe and efficacious drug concentrations in the targeted patient population when concomitantly administered with letermovir. John Wiley and Sons Inc. 2023-04-21 /pmc/articles/PMC10264951/ /pubmed/37085998 http://dx.doi.org/10.1111/cts.13509 Text en © 2023 Merck Sharp and Dohme LLC. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
Menzel, Karsten
Kuo, Yuhsin
Chen, Dapeng
Hartmann, Georgy
Wang, Ying‐Hong
Cho, Carolyn R.
McCrea, Jacqueline B.
Asari, Kazuhiko
Developing a mechanistic understanding of the nonlinear pharmacokinetics of letermovir and prospective drug interaction with everolimus using physiological‐based pharmacokinetic modeling
title Developing a mechanistic understanding of the nonlinear pharmacokinetics of letermovir and prospective drug interaction with everolimus using physiological‐based pharmacokinetic modeling
title_full Developing a mechanistic understanding of the nonlinear pharmacokinetics of letermovir and prospective drug interaction with everolimus using physiological‐based pharmacokinetic modeling
title_fullStr Developing a mechanistic understanding of the nonlinear pharmacokinetics of letermovir and prospective drug interaction with everolimus using physiological‐based pharmacokinetic modeling
title_full_unstemmed Developing a mechanistic understanding of the nonlinear pharmacokinetics of letermovir and prospective drug interaction with everolimus using physiological‐based pharmacokinetic modeling
title_short Developing a mechanistic understanding of the nonlinear pharmacokinetics of letermovir and prospective drug interaction with everolimus using physiological‐based pharmacokinetic modeling
title_sort developing a mechanistic understanding of the nonlinear pharmacokinetics of letermovir and prospective drug interaction with everolimus using physiological‐based pharmacokinetic modeling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264951/
https://www.ncbi.nlm.nih.gov/pubmed/37085998
http://dx.doi.org/10.1111/cts.13509
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