Literature DB >> 30453024

Predictive PBPK modeling as a tool in the formulation of the drug candidate TMP-001.

Lisa Nothnagel1, Fabian Jung1, Tanja Rossmanith2, Manuela Thurn1, Mukul Ashtikar1, Gerd Geisslinger3, Michael J Parnham2, Matthias G Wacker4.   

Abstract

Since many drugs in the therapy scheme of multiple sclerosis (MS) are applied parenterally with significant side effects, oral treatment is the most accepted therapy option for chronic diseases like MS. The drug candidate TMP-001, which has disease-modifying properties, can be applied orally. Beside other symptoms, swallowing disorders have a major impact not only on the health status and quality of life of MS patients, but also impede reliable drug therapy. Consequently, the development of an easy-to-swallow liquid oral dosage form supported by a combined PBPK-IVIVC model was approached. In this context, the impact of formulation parameters was studied. Biorelevant in vitro drug release studies resulted in an almost complete release of 96.91% ± 1.00% in the intestine which was translated to rapidly increasing in silico plasma profiles. The predictions were compared to the outcome of a phase I clinical trial. A partial parameter sensitivity analysis of the in silico model deepened our understanding of the physiological processes underlying human pharmacokinetics.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Drug candidate; Drug release; IVIVC; PBPK; Predictive formulation development

Mesh:

Substances:

Year:  2018        PMID: 30453024     DOI: 10.1016/j.ejpb.2018.11.012

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  2 in total

1.  Exploring the Interplay between Drug Release and Targeting of Lipid-Like Polymer Nanoparticles Loaded with Doxorubicin.

Authors:  Tatyana Kovshova; Nadezhda Osipova; Anna Alekseeva; Julia Malinovskaya; Alexey Belov; Andrey Budko; Galina Pavlova; Olga Maksimenko; Shakti Nagpal; Svenja Braner; Harshvardhan Modh; Vadim Balabanyan; Matthias G Wacker; Svetlana Gelperina
Journal:  Molecules       Date:  2021-02-05       Impact factor: 4.411

2.  Sustainable Stabilizer-Free Nanoparticle Formulations of Valsartan Using Eudragit® RLPO.

Authors:  Eszter Hajba-Horváth; Andrea Fodor-Kardos; Nishant Shah; Matthias G Wacker; Tivadar Feczkó
Journal:  Int J Mol Sci       Date:  2021-12-02       Impact factor: 5.923

  2 in total

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