Physiologically Based Absorption Modeling to Design Extended-Release Clinical Products for an Ester Prodrug

ABSTRACT Absorption modeling has demonstrated its great value in modern drug product development due to its utility in understanding and predicting in vivo performance. In this case, we integrated physiologically based modeling in the development processes to effectively design extended-release (ER)...

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Published inThe AAPS journal Vol. 18; no. 6; pp. 1424 - 1438
Main Authors Ding, Xuan, Day, Jeffrey S., Sperry, David C.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.11.2016
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Abstract ABSTRACT Absorption modeling has demonstrated its great value in modern drug product development due to its utility in understanding and predicting in vivo performance. In this case, we integrated physiologically based modeling in the development processes to effectively design extended-release (ER) clinical products for an ester prodrug LY545694. By simulating the trial results of immediate-release products, we delineated complex pharmacokinetics due to prodrug conversion and established an absorption model to describe the clinical observations. This model suggested the prodrug has optimal biopharmaceutical properties to warrant developing an ER product. Subsequently, we incorporated release profiles of prototype ER tablets into the absorption model to simulate the in vivo performance of these products observed in an exploratory trial. The models suggested that the absorption of these ER tablets was lower than the IR products because the extended release from the formulations prevented the drug from taking advantage of the optimal absorption window. Using these models, we formed a strategy to optimize the ER product to minimize the impact of the absorption window limitation. Accurate prediction of the performance of these optimized products by modeling was confirmed in a third clinical trial.
AbstractList Absorption modeling has demonstrated its great value in modern drug product development due to its utility in understanding and predicting in vivo performance. In this case, we integrated physiologically based modeling in the development processes to effectively design extended-release (ER) clinical products for an ester prodrug LY545694. By simulating the trial results of immediate-release products, we delineated complex pharmacokinetics due to prodrug conversion and established an absorption model to describe the clinical observations. This model suggested the prodrug has optimal biopharmaceutical properties to warrant developing an ER product. Subsequently, we incorporated release profiles of prototype ER tablets into the absorption model to simulate the in vivo performance of these products observed in an exploratory trial. The models suggested that the absorption of these ER tablets was lower than the IR products because the extended release from the formulations prevented the drug from taking advantage of the optimal absorption window. Using these models, we formed a strategy to optimize the ER product to minimize the impact of the absorption window limitation. Accurate prediction of the performance of these optimized products by modeling was confirmed in a third clinical trial.
ABSTRACT Absorption modeling has demonstrated its great value in modern drug product development due to its utility in understanding and predicting in vivo performance. In this case, we integrated physiologically based modeling in the development processes to effectively design extended-release (ER) clinical products for an ester prodrug LY545694. By simulating the trial results of immediate-release products, we delineated complex pharmacokinetics due to prodrug conversion and established an absorption model to describe the clinical observations. This model suggested the prodrug has optimal biopharmaceutical properties to warrant developing an ER product. Subsequently, we incorporated release profiles of prototype ER tablets into the absorption model to simulate the in vivo performance of these products observed in an exploratory trial. The models suggested that the absorption of these ER tablets was lower than the IR products because the extended release from the formulations prevented the drug from taking advantage of the optimal absorption window. Using these models, we formed a strategy to optimize the ER product to minimize the impact of the absorption window limitation. Accurate prediction of the performance of these optimized products by modeling was confirmed in a third clinical trial.
Author Ding, Xuan
Sperry, David C.
Day, Jeffrey S.
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CitedBy_id crossref_primary_10_1007_s00044_022_02859_1
crossref_primary_10_1016_j_ejpb_2022_05_007
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Keywords prodrug
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physiological model
extended release
oral absorption
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SSID ssj0032311
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Snippet ABSTRACT Absorption modeling has demonstrated its great value in modern drug product development due to its utility in understanding and predicting in vivo...
Absorption modeling has demonstrated its great value in modern drug product development due to its utility in understanding and predicting in vivo performance....
SourceID pubmed
crossref
springer
SourceType Index Database
Enrichment Source
Publisher
StartPage 1424
SubjectTerms Biochemistry
Biomedical and Life Sciences
Biomedicine
Biotechnology
Chemistry, Pharmaceutical - history
History, 20th Century
History, 21st Century
Nanotechnology
Pharmaceutical Preparations
Pharmacology/Toxicology
Pharmacy
Research Article
Title Physiologically Based Absorption Modeling to Design Extended-Release Clinical Products for an Ester Prodrug
URI https://link.springer.com/article/10.1208/s12248-016-9950-x
https://www.ncbi.nlm.nih.gov/pubmed/27411803
Volume 18
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