» Articles » PMID: 35378697

Re-writing Oral Pharmacokinetics Using Physiologically Based Finite Time Pharmacokinetic (PBFTPK) Models

Overview
Journal Pharm Res
Specialties Pharmacology
Pharmacy
Date 2022 Apr 5
PMID 35378697
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To develop physiologically based finite time pharmacokinetic (PBFTPK) models for the analysis of oral pharmacokinetic data.

Methods: The models are based on the passive drug diffusion mechanism under the sink conditions principle. Up to three drug successive input functions of constant rate operating for a total time τ are considered. Differential equations were written for all these models assuming linear one- or two-compartment-model disposition. The differential equations were solved and functions describing the concentration of drug as a function of time for the central and the peripheral compartment were derived. The equations were used to generate simulated data and they were also fitted to a variety of experimental literature oral pharmacokinetic data.

Results: The simulated curves resemble real life data. The end of the absorption processes τ is either equal to t or longer than t at the descending portion of the concentration time curve. Literature oral pharmacokinetic data of paracetamol, ibuprofen, almotriptan, cyclosporine (a total of four sets of data), and niraparib were analyzed using the PBFTPK models. Estimates for τ corresponding to a single or two or three different in magnitude input rates were derived along with the other model parameters for all data analyzed.

Conclusions: The PBFTPK models are a powerful tool for the analysis of oral pharmacokinetic data since they rely on the physiologically sound concept of finite absorption time.

Citing Articles

FDA and EMA Oversight of Disruptive Science on Application of Finite Absorption Time (F.A.T.) Concept in Oral Drug Absorption: Time for Scientific and Regulatory Changes.

Toulitsis E, Tsekouras A, Macheras P Pharmaceutics. 2024; 16(11).

PMID: 39598557 PMC: 11597828. DOI: 10.3390/pharmaceutics16111435.


Time Scale Calculus: a new approach to multi-dose pharmacokinetic modeling.

Arteaga-Bejarano J, Torres S J Pharmacokinet Pharmacodyn. 2024; 51(6):825-839.

PMID: 39060788 PMC: 11579191. DOI: 10.1007/s10928-024-09920-z.


Application of the Finite Absorption Time (F.A.T.) Concept in the Assessment of Bioequivalence.

Tsekouras A, Macheras P Pharm Res. 2024; 41(7):1413-1425.

PMID: 38898304 DOI: 10.1007/s11095-024-03727-w.


Importance of Considering Fed-State Gastrointestinal Physiology in Predicting the Reabsorption of Enterohepatic Circulation of Drugs.

Nakamura K, Kambayashi A, Onoue S Pharm Res. 2024; 41(4):673-685.

PMID: 38472609 PMC: 11636765. DOI: 10.1007/s11095-024-03669-3.


Coupling Drug Dissolution with BCS.

Simitopoulos A, Tsekouras A, Macheras P Pharm Res. 2024; 41(3):481-491.

PMID: 38291164 PMC: 11636680. DOI: 10.1007/s11095-024-03661-x.


References
1.
Lovering E, McGilveray I, McMillan I, Tostowaryk W . Comparative bioavailabilities from truncated blood level curves. J Pharm Sci. 1975; 64(9):1521-4. DOI: 10.1002/jps.2600640921. View

2.
Sugano K . Lost in modelling and simulation?. ADMET DMPK. 2022; 9(2):75-109. PMC: 8920108. DOI: 10.5599/admet.923. View

3.
Chryssafidis P, Tsekouras A, Macheras P . Revising Pharmacokinetics of Oral Drug Absorption: II Bioavailability-Bioequivalence Considerations. Pharm Res. 2021; 38(8):1345-1356. DOI: 10.1007/s11095-021-03078-w. View

4.
Iranpour P, Lall C, Houshyar R, Helmy M, Yang A, Choi J . Altered Doppler flow patterns in cirrhosis patients: an overview. Ultrasonography. 2015; 35(1):3-12. PMC: 4701371. DOI: 10.14366/usg.15020. View

5.
Macheras P, Chryssafidis P . Revising Pharmacokinetics of Oral Drug Absorption: I Models Based on Biopharmaceutical/Physiological and Finite Absorption Time Concepts. Pharm Res. 2020; 37(10):187. DOI: 10.1007/s11095-020-02894-w. View