Cargando…
Physiologically Based Pharmacokinetic Modeling of Transdermal Selegiline and Its Metabolites for the Evaluation of Disposition Differences between Healthy and Special Populations
A physiologically based pharmacokinetic (PBPK) model of selegiline (SEL), and its metabolites, was developed in silico to evaluate the disposition differences between healthy and special populations. SEL is metabolized to methamphetamine (MAP) and desmethyl selegiline (DMS) by several CYP enzymes. C...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600566/ https://www.ncbi.nlm.nih.gov/pubmed/33008144 http://dx.doi.org/10.3390/pharmaceutics12100942 |
_version_ | 1783603176582152192 |
---|---|
author | Puttrevu, Santosh Kumar Arora, Sumit Polak, Sebastian Patel, Nikunj Kumar |
author_facet | Puttrevu, Santosh Kumar Arora, Sumit Polak, Sebastian Patel, Nikunj Kumar |
author_sort | Puttrevu, Santosh Kumar |
collection | PubMed |
description | A physiologically based pharmacokinetic (PBPK) model of selegiline (SEL), and its metabolites, was developed in silico to evaluate the disposition differences between healthy and special populations. SEL is metabolized to methamphetamine (MAP) and desmethyl selegiline (DMS) by several CYP enzymes. CYP2D6 metabolizes the conversion of MAP to amphetamine (AMP), while CYP2B6 and CYP3A4 predominantly mediate the conversion of DMS to AMP. The overall prediction error in simulated PK, using the developed PBPK model, was within 0.5–1.5-fold after intravenous and transdermal dosing in healthy and elderly populations. Simulation results generated in the special populations demonstrated that a decrease in cardiac output is a potential covariate that affects the SEL exposure in renally impaired (RI) and hepatic impaired (HI) subjects. A decrease in CYP2D6 levels increased the systemic exposure of MAP. DMS exposure increased due to a reduction in the abundance of CYP2B6 and CYP3A4 in RI and HI subjects. In addition, an increase in the exposure of the primary metabolites decreased the exposure of AMP. No significant difference between the adult and adolescent populations, in terms of PK, were observed. The current PBPK model predictions indicate that subjects with HI or RI may require closer clinical monitoring to identify any untoward effects associated with the administration of transdermal SEL patch. |
format | Online Article Text |
id | pubmed-7600566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76005662020-11-01 Physiologically Based Pharmacokinetic Modeling of Transdermal Selegiline and Its Metabolites for the Evaluation of Disposition Differences between Healthy and Special Populations Puttrevu, Santosh Kumar Arora, Sumit Polak, Sebastian Patel, Nikunj Kumar Pharmaceutics Article A physiologically based pharmacokinetic (PBPK) model of selegiline (SEL), and its metabolites, was developed in silico to evaluate the disposition differences between healthy and special populations. SEL is metabolized to methamphetamine (MAP) and desmethyl selegiline (DMS) by several CYP enzymes. CYP2D6 metabolizes the conversion of MAP to amphetamine (AMP), while CYP2B6 and CYP3A4 predominantly mediate the conversion of DMS to AMP. The overall prediction error in simulated PK, using the developed PBPK model, was within 0.5–1.5-fold after intravenous and transdermal dosing in healthy and elderly populations. Simulation results generated in the special populations demonstrated that a decrease in cardiac output is a potential covariate that affects the SEL exposure in renally impaired (RI) and hepatic impaired (HI) subjects. A decrease in CYP2D6 levels increased the systemic exposure of MAP. DMS exposure increased due to a reduction in the abundance of CYP2B6 and CYP3A4 in RI and HI subjects. In addition, an increase in the exposure of the primary metabolites decreased the exposure of AMP. No significant difference between the adult and adolescent populations, in terms of PK, were observed. The current PBPK model predictions indicate that subjects with HI or RI may require closer clinical monitoring to identify any untoward effects associated with the administration of transdermal SEL patch. MDPI 2020-09-30 /pmc/articles/PMC7600566/ /pubmed/33008144 http://dx.doi.org/10.3390/pharmaceutics12100942 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Puttrevu, Santosh Kumar Arora, Sumit Polak, Sebastian Patel, Nikunj Kumar Physiologically Based Pharmacokinetic Modeling of Transdermal Selegiline and Its Metabolites for the Evaluation of Disposition Differences between Healthy and Special Populations |
title | Physiologically Based Pharmacokinetic Modeling of Transdermal Selegiline and Its Metabolites for the Evaluation of Disposition Differences between Healthy and Special Populations |
title_full | Physiologically Based Pharmacokinetic Modeling of Transdermal Selegiline and Its Metabolites for the Evaluation of Disposition Differences between Healthy and Special Populations |
title_fullStr | Physiologically Based Pharmacokinetic Modeling of Transdermal Selegiline and Its Metabolites for the Evaluation of Disposition Differences between Healthy and Special Populations |
title_full_unstemmed | Physiologically Based Pharmacokinetic Modeling of Transdermal Selegiline and Its Metabolites for the Evaluation of Disposition Differences between Healthy and Special Populations |
title_short | Physiologically Based Pharmacokinetic Modeling of Transdermal Selegiline and Its Metabolites for the Evaluation of Disposition Differences between Healthy and Special Populations |
title_sort | physiologically based pharmacokinetic modeling of transdermal selegiline and its metabolites for the evaluation of disposition differences between healthy and special populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600566/ https://www.ncbi.nlm.nih.gov/pubmed/33008144 http://dx.doi.org/10.3390/pharmaceutics12100942 |
work_keys_str_mv | AT puttrevusantoshkumar physiologicallybasedpharmacokineticmodelingoftransdermalselegilineanditsmetabolitesfortheevaluationofdispositiondifferencesbetweenhealthyandspecialpopulations AT arorasumit physiologicallybasedpharmacokineticmodelingoftransdermalselegilineanditsmetabolitesfortheevaluationofdispositiondifferencesbetweenhealthyandspecialpopulations AT polaksebastian physiologicallybasedpharmacokineticmodelingoftransdermalselegilineanditsmetabolitesfortheevaluationofdispositiondifferencesbetweenhealthyandspecialpopulations AT patelnikunjkumar physiologicallybasedpharmacokineticmodelingoftransdermalselegilineanditsmetabolitesfortheevaluationofdispositiondifferencesbetweenhealthyandspecialpopulations |