Abstract
The pharmacokinetic (PK) models predict the hematic concentration of drugs after the administration. In compartment modeling, the body is described by a set of interconnected “vessels” or “compartments”; the modeling consisting of transient mass balances. Usually the orally administered drugs were considered as immediately available: this cannot describe the administration of extended-release systems. In this work we added to the traditional compartment models the ability to account for a delay in administration, relating this delay to in vitro data. Firstly, the method was validated, applying the model to the dosage of nicotine by chewing-gum; the model was tuned by in vitro/in vivo data of drugs (divalproex-sodium and diltiazem) with medium-rate release kinetics, then it was applied in describing in vivo evolutions due to the assumption of fast- and slow-release systems. The model reveals itself predictive, the same of a Level A in vitro/in vivo correlation, but being physically based, it is preferable to a purely statistical method.
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Abbreviations
- ADME:
-
Adsorption–distribution–metabolism–excretion
- AUC:
-
Area under curve
- BCS:
-
Biopharmaceutics classification system
- ER:
-
Extended release
- GI:
-
Gastro-intestinal tract
- IR:
-
Immediate release
- IVIVC:
-
In vitro/in vivo correlations
- MEC:
-
Minimum effective concentration
- MTL:
-
Minimum toxic level
- PBPK:
-
Physiologically based pharmacokinetics
- PK:
-
Pharmacokinetics
- USP:
-
United States pharmacopoeia
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Di Muria, M., Lamberti, G. & Titomanlio, G. Modeling the pharmacokinetics of extended release pharmaceutical systems. Heat Mass Transfer 45, 579–589 (2009). https://doi.org/10.1007/s00231-008-0456-7
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DOI: https://doi.org/10.1007/s00231-008-0456-7
Keywords
- Diltiazem
- Extended Release
- Immediate Release
- Divalproex Sodium
- Drug Release Kinetic