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Development of a Population Pharmacokinetic Model for the Diroximel Fumarate Metabolites Monomethyl Fumarate and 2-Hydroxyethyl Succinimide Following Oral Administration of Diroximel Fumarate in Healthy Participants and Patients with Multiple Sclerosis
INTRODUCTION: Diroximel fumarate (DRF) is a next-generation oral fumarate that is indicated in the USA for relapsing forms of multiple sclerosis (MS). A joint population pharmacokinetic model was developed for the major active metabolite (monomethyl fumarate, MMF) and the major inactive metabolite (...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857385/ https://www.ncbi.nlm.nih.gov/pubmed/35041178 http://dx.doi.org/10.1007/s40120-021-00316-6 |
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author | Kuchimanchi, Mita Bockbrader, Howard Dolphin, Nancy Epling, Daniel Quinlan, Lauren Chapel, Sunny Penner, Natasha |
author_facet | Kuchimanchi, Mita Bockbrader, Howard Dolphin, Nancy Epling, Daniel Quinlan, Lauren Chapel, Sunny Penner, Natasha |
author_sort | Kuchimanchi, Mita |
collection | PubMed |
description | INTRODUCTION: Diroximel fumarate (DRF) is a next-generation oral fumarate that is indicated in the USA for relapsing forms of multiple sclerosis (MS). A joint population pharmacokinetic model was developed for the major active metabolite (monomethyl fumarate, MMF) and the major inactive metabolite (2-hydroxyethyl succinimide, HES) of DRF. METHODS: MMF and HES data were included from 341 healthy volunteers and 48 patients with MS across 11 phase I and III studies in which DRF was administered as single or multiple doses. Population modeling was performed with NONMEM version 7.3 with the first-order conditional estimation method. RESULTS: Estimated MMF clearance (CL(MMF)), volume of distribution, and absorption rate constant (Ka) were 13.5 L/h, 30.4 L, and 5.04 h(−1), respectively. CL(MMF) and HES clearance (CL(HES)) increased with increasing body weight. CL(HES) decreased with decreasing renal function. CL(MMF) and CL(HES) were 28% and 12% lower in patients with MS than in healthy volunteers, respectively. Ka was reduced in the presence of low-, medium-, and high-fat meals by 37%, 51%, and 67%, respectively, for MMF; and by 34%, 49%, and 62%, respectively, for HES. CONCLUSIONS: Age, sex, race, and baseline liver function parameters such as total bilirubin, albumin, and aspartate aminotransferase were not considered to be significant predictors of MMF or HES disposition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40120-021-00316-6. |
format | Online Article Text |
id | pubmed-8857385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-88573852022-02-23 Development of a Population Pharmacokinetic Model for the Diroximel Fumarate Metabolites Monomethyl Fumarate and 2-Hydroxyethyl Succinimide Following Oral Administration of Diroximel Fumarate in Healthy Participants and Patients with Multiple Sclerosis Kuchimanchi, Mita Bockbrader, Howard Dolphin, Nancy Epling, Daniel Quinlan, Lauren Chapel, Sunny Penner, Natasha Neurol Ther Original Research INTRODUCTION: Diroximel fumarate (DRF) is a next-generation oral fumarate that is indicated in the USA for relapsing forms of multiple sclerosis (MS). A joint population pharmacokinetic model was developed for the major active metabolite (monomethyl fumarate, MMF) and the major inactive metabolite (2-hydroxyethyl succinimide, HES) of DRF. METHODS: MMF and HES data were included from 341 healthy volunteers and 48 patients with MS across 11 phase I and III studies in which DRF was administered as single or multiple doses. Population modeling was performed with NONMEM version 7.3 with the first-order conditional estimation method. RESULTS: Estimated MMF clearance (CL(MMF)), volume of distribution, and absorption rate constant (Ka) were 13.5 L/h, 30.4 L, and 5.04 h(−1), respectively. CL(MMF) and HES clearance (CL(HES)) increased with increasing body weight. CL(HES) decreased with decreasing renal function. CL(MMF) and CL(HES) were 28% and 12% lower in patients with MS than in healthy volunteers, respectively. Ka was reduced in the presence of low-, medium-, and high-fat meals by 37%, 51%, and 67%, respectively, for MMF; and by 34%, 49%, and 62%, respectively, for HES. CONCLUSIONS: Age, sex, race, and baseline liver function parameters such as total bilirubin, albumin, and aspartate aminotransferase were not considered to be significant predictors of MMF or HES disposition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40120-021-00316-6. Springer Healthcare 2022-01-18 /pmc/articles/PMC8857385/ /pubmed/35041178 http://dx.doi.org/10.1007/s40120-021-00316-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Kuchimanchi, Mita Bockbrader, Howard Dolphin, Nancy Epling, Daniel Quinlan, Lauren Chapel, Sunny Penner, Natasha Development of a Population Pharmacokinetic Model for the Diroximel Fumarate Metabolites Monomethyl Fumarate and 2-Hydroxyethyl Succinimide Following Oral Administration of Diroximel Fumarate in Healthy Participants and Patients with Multiple Sclerosis |
title | Development of a Population Pharmacokinetic Model for the Diroximel Fumarate Metabolites Monomethyl Fumarate and 2-Hydroxyethyl Succinimide Following Oral Administration of Diroximel Fumarate in Healthy Participants and Patients with Multiple Sclerosis |
title_full | Development of a Population Pharmacokinetic Model for the Diroximel Fumarate Metabolites Monomethyl Fumarate and 2-Hydroxyethyl Succinimide Following Oral Administration of Diroximel Fumarate in Healthy Participants and Patients with Multiple Sclerosis |
title_fullStr | Development of a Population Pharmacokinetic Model for the Diroximel Fumarate Metabolites Monomethyl Fumarate and 2-Hydroxyethyl Succinimide Following Oral Administration of Diroximel Fumarate in Healthy Participants and Patients with Multiple Sclerosis |
title_full_unstemmed | Development of a Population Pharmacokinetic Model for the Diroximel Fumarate Metabolites Monomethyl Fumarate and 2-Hydroxyethyl Succinimide Following Oral Administration of Diroximel Fumarate in Healthy Participants and Patients with Multiple Sclerosis |
title_short | Development of a Population Pharmacokinetic Model for the Diroximel Fumarate Metabolites Monomethyl Fumarate and 2-Hydroxyethyl Succinimide Following Oral Administration of Diroximel Fumarate in Healthy Participants and Patients with Multiple Sclerosis |
title_sort | development of a population pharmacokinetic model for the diroximel fumarate metabolites monomethyl fumarate and 2-hydroxyethyl succinimide following oral administration of diroximel fumarate in healthy participants and patients with multiple sclerosis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857385/ https://www.ncbi.nlm.nih.gov/pubmed/35041178 http://dx.doi.org/10.1007/s40120-021-00316-6 |
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