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SeDeM tool-driven full factorial design for osmotic drug delivery of tramadol HCl: Formulation development, physicochemical evaluation, and in-silico PBPK modeling for predictive pharmacokinetic evaluation using GastroPlus™

The study is based on using SeDeM expert system in developing controlled-release tramadol HCl osmotic tablets and its in-silico physiologically based pharmacokinetic (PBPK) modeling for in-vivo pharmacokinetic evaluation. A Quality by Design (QbD) based approach in developing SeDEM-driven full facto...

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Autores principales: Saleem, Muhammad Talha, Shoaib, Muhammad Harris, Yousuf, Rabia Ismail, Ahmed, Farrukh Rafiq, Ahmed, Kamran, Siddiqui, Fahad, Mahmood, Zafar Alam, Sikandar, Muhammad, Imtiaz, Muhammad Suleman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585207/
https://www.ncbi.nlm.nih.gov/pubmed/36278217
http://dx.doi.org/10.3389/fphar.2022.974715
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author Saleem, Muhammad Talha
Shoaib, Muhammad Harris
Yousuf, Rabia Ismail
Ahmed, Farrukh Rafiq
Ahmed, Kamran
Siddiqui, Fahad
Mahmood, Zafar Alam
Sikandar, Muhammad
Imtiaz, Muhammad Suleman
author_facet Saleem, Muhammad Talha
Shoaib, Muhammad Harris
Yousuf, Rabia Ismail
Ahmed, Farrukh Rafiq
Ahmed, Kamran
Siddiqui, Fahad
Mahmood, Zafar Alam
Sikandar, Muhammad
Imtiaz, Muhammad Suleman
author_sort Saleem, Muhammad Talha
collection PubMed
description The study is based on using SeDeM expert system in developing controlled-release tramadol HCl osmotic tablets and its in-silico physiologically based pharmacokinetic (PBPK) modeling for in-vivo pharmacokinetic evaluation. A Quality by Design (QbD) based approach in developing SeDEM-driven full factorial osmotic drug delivery was applied. A 2(4) Full-factorial design was used to make the trial formulations of tramadol HCl osmotic tablets using NaCl as osmogen, Methocel K4M as rate controlling polymer, and avicel pH 101 as diluent. The preformulation characteristics of formulations (F1-F16) were determined by applying SeDeM Expert Tool. The formulation was optimized followed by in-vivo predictive pharmacokinetic assessment using PBPK “ACAT” model of GastroPlus™. The FTIR results showed no interaction among the ingredients. The index of good compressibility (ICG) values of all trial formulation blends were ≥5, suggesting direct compression is the best-suited method. Formulation F3 and F4 were optimized based on drug release at 2, 10, and 16 h with a zero-order kinetic release (r (2) = 0.992 and 0.994). The SEM images confirmed micropores formation on the surface of the osmotic tablet after complete drug release. F3 and F4 were also stable (shelf life 29.41 and 23.46 months). The in vivo simulation of the pharmacokinetics of the PBPK in-silico model revealed excellent relative bioavailability of F3 and F4 with reference to tramadol HCl 50 mg IR formulations. The SeDeM expert tool was best utilized to evaluate the compression characteristics of selected formulation excipients and their blends for direct compression method in designing once-daily osmotically controlled-release tramadol HCl tablets. The in-silico GastroPlus™ PBPK modeling provided a thorough pharmacokinetic assessment of the optimized formulation as an alternative to tramadol HCl in vivo studies.
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spelling pubmed-95852072022-10-22 SeDeM tool-driven full factorial design for osmotic drug delivery of tramadol HCl: Formulation development, physicochemical evaluation, and in-silico PBPK modeling for predictive pharmacokinetic evaluation using GastroPlus™ Saleem, Muhammad Talha Shoaib, Muhammad Harris Yousuf, Rabia Ismail Ahmed, Farrukh Rafiq Ahmed, Kamran Siddiqui, Fahad Mahmood, Zafar Alam Sikandar, Muhammad Imtiaz, Muhammad Suleman Front Pharmacol Pharmacology The study is based on using SeDeM expert system in developing controlled-release tramadol HCl osmotic tablets and its in-silico physiologically based pharmacokinetic (PBPK) modeling for in-vivo pharmacokinetic evaluation. A Quality by Design (QbD) based approach in developing SeDEM-driven full factorial osmotic drug delivery was applied. A 2(4) Full-factorial design was used to make the trial formulations of tramadol HCl osmotic tablets using NaCl as osmogen, Methocel K4M as rate controlling polymer, and avicel pH 101 as diluent. The preformulation characteristics of formulations (F1-F16) were determined by applying SeDeM Expert Tool. The formulation was optimized followed by in-vivo predictive pharmacokinetic assessment using PBPK “ACAT” model of GastroPlus™. The FTIR results showed no interaction among the ingredients. The index of good compressibility (ICG) values of all trial formulation blends were ≥5, suggesting direct compression is the best-suited method. Formulation F3 and F4 were optimized based on drug release at 2, 10, and 16 h with a zero-order kinetic release (r (2) = 0.992 and 0.994). The SEM images confirmed micropores formation on the surface of the osmotic tablet after complete drug release. F3 and F4 were also stable (shelf life 29.41 and 23.46 months). The in vivo simulation of the pharmacokinetics of the PBPK in-silico model revealed excellent relative bioavailability of F3 and F4 with reference to tramadol HCl 50 mg IR formulations. The SeDeM expert tool was best utilized to evaluate the compression characteristics of selected formulation excipients and their blends for direct compression method in designing once-daily osmotically controlled-release tramadol HCl tablets. The in-silico GastroPlus™ PBPK modeling provided a thorough pharmacokinetic assessment of the optimized formulation as an alternative to tramadol HCl in vivo studies. Frontiers Media S.A. 2022-10-07 /pmc/articles/PMC9585207/ /pubmed/36278217 http://dx.doi.org/10.3389/fphar.2022.974715 Text en Copyright © 2022 Saleem, Shoaib, Yousuf, Ahmed, Ahmed, Siddiqui, Mahmood, Sikandar and Imtiaz. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Saleem, Muhammad Talha
Shoaib, Muhammad Harris
Yousuf, Rabia Ismail
Ahmed, Farrukh Rafiq
Ahmed, Kamran
Siddiqui, Fahad
Mahmood, Zafar Alam
Sikandar, Muhammad
Imtiaz, Muhammad Suleman
SeDeM tool-driven full factorial design for osmotic drug delivery of tramadol HCl: Formulation development, physicochemical evaluation, and in-silico PBPK modeling for predictive pharmacokinetic evaluation using GastroPlus™
title SeDeM tool-driven full factorial design for osmotic drug delivery of tramadol HCl: Formulation development, physicochemical evaluation, and in-silico PBPK modeling for predictive pharmacokinetic evaluation using GastroPlus™
title_full SeDeM tool-driven full factorial design for osmotic drug delivery of tramadol HCl: Formulation development, physicochemical evaluation, and in-silico PBPK modeling for predictive pharmacokinetic evaluation using GastroPlus™
title_fullStr SeDeM tool-driven full factorial design for osmotic drug delivery of tramadol HCl: Formulation development, physicochemical evaluation, and in-silico PBPK modeling for predictive pharmacokinetic evaluation using GastroPlus™
title_full_unstemmed SeDeM tool-driven full factorial design for osmotic drug delivery of tramadol HCl: Formulation development, physicochemical evaluation, and in-silico PBPK modeling for predictive pharmacokinetic evaluation using GastroPlus™
title_short SeDeM tool-driven full factorial design for osmotic drug delivery of tramadol HCl: Formulation development, physicochemical evaluation, and in-silico PBPK modeling for predictive pharmacokinetic evaluation using GastroPlus™
title_sort sedem tool-driven full factorial design for osmotic drug delivery of tramadol hcl: formulation development, physicochemical evaluation, and in-silico pbpk modeling for predictive pharmacokinetic evaluation using gastroplus™
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585207/
https://www.ncbi.nlm.nih.gov/pubmed/36278217
http://dx.doi.org/10.3389/fphar.2022.974715
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