Literature DB >> 31907674

Physiologically Based Pharmacokinetic Model to Support Ophthalmic Suspension Product Development.

Maxime Le Merdy1, Ming-Liang Tan1, Andrew Babiskin2, Liang Zhao1.   

Abstract

FDA's Orange Book lists 17 currently marketed active pharmaceutical ingredients (API) formulated within ophthalmic suspensions in which a majority has 90% or more of the API undissolved. We used an ocular physiologically based pharmacokinetic (O-PBPK) model to compare a suspension with a solution for ophthalmic products with dexamethasone (Dex) as the model drug. Simulations with a Dex suspension O-PBPK model previously verified in rabbit were used to characterize the consequences of drug clearance mechanism in the precorneal compartment on pharmacokinetic (PK) exposure and to assess the ocular and systemic PK characteristics of ophthalmic suspensions with different strengths or magnitudes of viscosity. O-PBPK-based simulations show that (1) Dex suspension 0.05% has a 2.5- and 5-fold higher AUC in aqueous humor and plasma, respectively, than the Dex saturated solution; (2) strength increase by 5- and 10-fold induces a respective 2.2- and 3.3-fold increase in aqueous humor and 4.4- and 8.6-fold increase in plasma Cmax and AUC; and (3) increasing formulation viscosity (from 1.6 to 75 cP) causes an overall increase in API available for absorption in the cornea resulting in a higher ocular Cmax and AUC with no significant impact on systemic exposure. This research demonstrates that solid particles present in a suspension can not only help to achieve a higher ocular exposure but also unfavorably raise systemic exposure. A model able to correlate formulation changes to both ocular and plasma exposure is a necessary tool to support ocular product development taking into consideration both local efficacy and systemic safety aspects.

Entities:  

Keywords:  PBPK; ocular PBPK; ophthalmic suspension; product development

Year:  2020        PMID: 31907674     DOI: 10.1208/s12248-019-0408-9

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  14 in total

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Authors:  Maxime Le Merdy; Jianghong Fan; Michael B Bolger; Viera Lukacova; Jessica Spires; Eleftheria Tsakalozou; Vikram Patel; Lin Xu; Sharron Stewart; Ashok Chockalingam; Suresh Narayanasamy; Rodney Rouse; Murali Matta; Andrew Babiskin; Darby Kozak; Stephanie Choi; Lei Zhang; Robert Lionberger; Liang Zhao
Journal:  AAPS J       Date:  2019-05-20       Impact factor: 4.009

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Authors:  R D Schoenwald; P Stewart
Journal:  J Pharm Sci       Date:  1980-04       Impact factor: 3.534

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Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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  4 in total

1.  Clinical Ocular Exposure Extrapolation for Ophthalmic Solutions Using PBPK Modeling and Simulation.

Authors:  Maxime Le Merdy; Farah AlQaraghuli; Ming-Liang Tan; Ross Walenga; Andrew Babiskin; Liang Zhao; Viera Lukacova
Journal:  Pharm Res       Date:  2022-09-23       Impact factor: 4.580

2.  Semi-PBPK Modeling and Simulation to Evaluate the Local and Systemic Pharmacokinetics of OC-01(Varenicline) Nasal Spray.

Authors:  Xiaofei Wu; Fan Zhang; Mengyang Yu; Faming Ding; Jinghui Luo; Bo Liu; Yuan Li; Zhiping Li; Hongyun Wang
Journal:  Front Pharmacol       Date:  2022-07-07       Impact factor: 5.988

3.  Ocular Physiologically Based Pharmacokinetic Modeling for Ointment Formulations.

Authors:  Maxime Le Merdy; Jessica Spires; Viera Lukacova; Ming-Liang Tan; Andrew Babiskin; Xiaoming Xu; Liang Zhao; Michael B Bolger
Journal:  Pharm Res       Date:  2020-11-19       Impact factor: 4.200

4.  Development of PBPK model for intra-articular injection in human: methotrexate solution and rheumatoid arthritis case study.

Authors:  Maxime Le Merdy; Jim Mullin; Viera Lukacova
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-09-26       Impact factor: 2.745

  4 in total

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