A Correlative Model to Predict In Vivo AUC for Nanosystem Drug Delivery with Release Rate-Limited Absorption

Purpose. Drug release from nanosystems at the sites of either absorption or effect biophase is a major determinant of its biological action. Thus, in vitro drug release is of paramount importance in gaining insight for the systems performance in vivo. Methods. A novel in vitro in vivo correlation, I...

Full description

Bibliographic Details
Main Authors: Mohammad Barzegar-Jalali, Kaivan Mohammadi, Ghobad Mohammadi, Hadi Valizadeh, Azim Barzegar-Jalali, Khosro Adibkia, Ali Nokhodchi
Format: Article
Language:English
Published: Canadian Society for Pharmaceutical Sciences 2012-10-01
Series:Journal of Pharmacy & Pharmaceutical Sciences
Online Access:https://journals.library.ualberta.ca/jpps/index.php/JPPS/article/view/16260
id doaj-0e4e7f3b91f24f568f5bb3605207fa63
record_format Article
spelling doaj-0e4e7f3b91f24f568f5bb3605207fa632020-11-25T03:52:35ZengCanadian Society for Pharmaceutical SciencesJournal of Pharmacy & Pharmaceutical Sciences1482-18262012-10-0115410.18433/J3NP5NA Correlative Model to Predict In Vivo AUC for Nanosystem Drug Delivery with Release Rate-Limited AbsorptionMohammad Barzegar-Jalali0Kaivan Mohammadi1Ghobad Mohammadi2Hadi Valizadeh3Azim Barzegar-Jalali4Khosro Adibkia5Ali Nokhodchi6Drug Applied Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, IranMechanical Engineering School, Sharif University of Technology, Tehran, IranFaculty of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, IranDrug Applied Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, IranFaculty of Medicine, Islamic Azad University Ardabil Branch, Ardabil, IranBiotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, IranMedway School of Pharmacy, Universities of Kent, Chatham, Kent, EnglandPurpose. Drug release from nanosystems at the sites of either absorption or effect biophase is a major determinant of its biological action. Thus, in vitro drug release is of paramount importance in gaining insight for the systems performance in vivo. Methods. A novel in vitro in vivo correlation, IVIVC, model denoted as double reciprocal area method was presented and applied to 19 drugs from 55 nano formulations with total 336 data, gathered from literature. Results. The proposed model correlated the in vitro with in vivo parameters with overall error of 12.4 ± 3.9%. Also the trained version of the model predicted the test formulations with overall error of 15.8 ± 3.7% indicating the suitability of the approach. A theoretical justification was provided for the model considering the unified classical release laws. Conclusion. The model does not necessitate bolus intravenous drug data and seems to be suitable for IVIVC of drugs with release rate-limited absorption. This article is open to POST-PUBLICATION REVIEW. Registered readers (see “For Readers”) may comment by clicking on ABSTRACT on the issue’s contents page.https://journals.library.ualberta.ca/jpps/index.php/JPPS/article/view/16260
collection DOAJ
language English
format Article
sources DOAJ
author Mohammad Barzegar-Jalali
Kaivan Mohammadi
Ghobad Mohammadi
Hadi Valizadeh
Azim Barzegar-Jalali
Khosro Adibkia
Ali Nokhodchi
spellingShingle Mohammad Barzegar-Jalali
Kaivan Mohammadi
Ghobad Mohammadi
Hadi Valizadeh
Azim Barzegar-Jalali
Khosro Adibkia
Ali Nokhodchi
A Correlative Model to Predict In Vivo AUC for Nanosystem Drug Delivery with Release Rate-Limited Absorption
Journal of Pharmacy & Pharmaceutical Sciences
author_facet Mohammad Barzegar-Jalali
Kaivan Mohammadi
Ghobad Mohammadi
Hadi Valizadeh
Azim Barzegar-Jalali
Khosro Adibkia
Ali Nokhodchi
author_sort Mohammad Barzegar-Jalali
title A Correlative Model to Predict In Vivo AUC for Nanosystem Drug Delivery with Release Rate-Limited Absorption
title_short A Correlative Model to Predict In Vivo AUC for Nanosystem Drug Delivery with Release Rate-Limited Absorption
title_full A Correlative Model to Predict In Vivo AUC for Nanosystem Drug Delivery with Release Rate-Limited Absorption
title_fullStr A Correlative Model to Predict In Vivo AUC for Nanosystem Drug Delivery with Release Rate-Limited Absorption
title_full_unstemmed A Correlative Model to Predict In Vivo AUC for Nanosystem Drug Delivery with Release Rate-Limited Absorption
title_sort correlative model to predict in vivo auc for nanosystem drug delivery with release rate-limited absorption
publisher Canadian Society for Pharmaceutical Sciences
series Journal of Pharmacy & Pharmaceutical Sciences
issn 1482-1826
publishDate 2012-10-01
description Purpose. Drug release from nanosystems at the sites of either absorption or effect biophase is a major determinant of its biological action. Thus, in vitro drug release is of paramount importance in gaining insight for the systems performance in vivo. Methods. A novel in vitro in vivo correlation, IVIVC, model denoted as double reciprocal area method was presented and applied to 19 drugs from 55 nano formulations with total 336 data, gathered from literature. Results. The proposed model correlated the in vitro with in vivo parameters with overall error of 12.4 ± 3.9%. Also the trained version of the model predicted the test formulations with overall error of 15.8 ± 3.7% indicating the suitability of the approach. A theoretical justification was provided for the model considering the unified classical release laws. Conclusion. The model does not necessitate bolus intravenous drug data and seems to be suitable for IVIVC of drugs with release rate-limited absorption. This article is open to POST-PUBLICATION REVIEW. Registered readers (see “For Readers”) may comment by clicking on ABSTRACT on the issue’s contents page.
url https://journals.library.ualberta.ca/jpps/index.php/JPPS/article/view/16260
work_keys_str_mv AT mohammadbarzegarjalali acorrelativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT kaivanmohammadi acorrelativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT ghobadmohammadi acorrelativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT hadivalizadeh acorrelativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT azimbarzegarjalali acorrelativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT khosroadibkia acorrelativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT alinokhodchi acorrelativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT mohammadbarzegarjalali correlativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT kaivanmohammadi correlativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT ghobadmohammadi correlativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT hadivalizadeh correlativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT azimbarzegarjalali correlativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT khosroadibkia correlativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
AT alinokhodchi correlativemodeltopredictinvivoaucfornanosystemdrugdeliverywithreleaseratelimitedabsorption
_version_ 1724481977928646656