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 in | The AAPS journal Vol. 18; no. 6; pp. 1424 - 1438 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.11.2016
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Subjects | |
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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. |
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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. |
Author_xml | – sequence: 1 givenname: Xuan surname: Ding fullname: Ding, Xuan organization: Small Molecule Design & Development, Lilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company – sequence: 2 givenname: Jeffrey S. surname: Day fullname: Day, Jeffrey S. organization: Drug Disposition, Lilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company – sequence: 3 givenname: David C. surname: Sperry fullname: Sperry, David C. email: sperryda@lilly.com organization: Small Molecule Design & Development, Lilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27411803$$D View this record in MEDLINE/PubMed |
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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.... |
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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 |
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