Literature DB >> 26216413

Nanoparticle encapsulation and controlled release of a hydrophobic kinase inhibitor: Three stage mathematical modeling and parametric analysis.

Armando Lucero-Acuña1, Roberto Guzmán2.   

Abstract

A mathematical model of drug release that incorporates the simultaneous contributions of initial burst, nanoparticle degradation-relaxation and diffusion was developed and used to effectively describe the release of a kinase inhibitor and anticancer drug, PHT-427. The encapsulation of this drug into PLGA nanoparticles was performed by following the single emulsion-solvent evaporation technique and the release was determined in phosphate buffer pH 7.4 at 37 °C. The size of nanoparticles was obtained in a range of 162-254 nm. The experimental release profiles showed three well defined phases: an initial fast drug release, followed by a nanoparticle degradation-relaxation slower release and then a diffusion release phase. The effects of the controlled release most relevant parameters such as drug diffusivity, initial burst constant, nanoparticle degradation-relaxation constant, and the time to achieve a maximum rate of drug release were evaluated by a parametrical analysis. The theoretical release studies were corroborated experimentally by evaluating the cytotoxicity effectiveness of the inhibitor AKT/PDK1 loaded nanoparticles over BxPC-3 pancreatic cancer cells in vitro. These studies show that the encapsulated inhibitor AKT/PDK1 in the nanoparticles is more accessible and thus more effective when compared with the drug alone, indicating their potential use in chemotherapeutic applications.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Controlled release; Mathematical modeling; Nanoparticles; PLGA; Pancreatic cancer; Parametric analysis

Mesh:

Substances:

Year:  2015        PMID: 26216413     DOI: 10.1016/j.ijpharm.2015.07.049

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  5 in total

Review 1.  Polymer nanoparticle-assisted chemotherapy of pancreatic cancer.

Authors:  Tianqi Su; Bo Yang; Tianren Gao; Tongjun Liu; Jiannan Li
Journal:  Ther Adv Med Oncol       Date:  2020-05-08       Impact factor: 8.168

2.  Mathematical modeling and parametrical analysis of the temperature dependency of control drug release from biodegradable nanoparticles.

Authors:  Armando Lucero-Acuña; Cindy Alejandra Gutiérrez-Valenzuela; Reynaldo Esquivel; Roberto Guzmán-Zamudio
Journal:  RSC Adv       Date:  2019-03-15       Impact factor: 4.036

3.  PLGA nanoparticle preparations by emulsification and nanoprecipitation techniques: effects of formulation parameters.

Authors:  Karol Yesenia Hernández-Giottonini; Rosalva Josefina Rodríguez-Córdova; Cindy Alejandra Gutiérrez-Valenzuela; Omar Peñuñuri-Miranda; Paul Zavala-Rivera; Patricia Guerrero-Germán; Armando Lucero-Acuña
Journal:  RSC Adv       Date:  2020-01-27       Impact factor: 4.036

4.  A novel method for constructing continuous intrinsic surfaces of nanoparticles.

Authors:  Daniel T Allen; Christian D Lorenz
Journal:  J Mol Model       Date:  2017-07-03       Impact factor: 1.810

5.  Poly(3-Hydroxybutyrate)-Based Nanoparticles for Sorafenib and Doxorubicin Anticancer Drug Delivery.

Authors:  György Babos; Joanna Rydz; Michal Kawalec; Magdalena Klim; Andrea Fodor-Kardos; László Trif; Tivadar Feczkó
Journal:  Int J Mol Sci       Date:  2020-10-03       Impact factor: 5.923

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.