Literature DB >> 24036098

Combined mathematical modelling and experimentation to predict polymersome uptake by oral cancer cells.

Ian Sorrell1, Rebecca J Shipley2, Vanessa Hearnden3, Helen E Colley3, Martin H Thornhill3, Craig Murdoch3, Steven D Webb4.   

Abstract

This study is motivated by understanding and controlling the key physical properties underlying internalisation of nano drug delivery. We consider the internalisation of specific nanometre size delivery vehicles, comprised of self-assembling amphiphilic block copolymers, called polymersomes that have the potential to specifically deliver anticancer therapeutics to tumour cells. The possible benefits of targeted polymersome drug delivery include reduced off-target toxic effects in healthy tissue and increased drug uptake by diseased tissue. Through a combination of in vitro experimentation and mathematical modelling, we develop a validated model of nanoparticle uptake by cells via the clathrin-mediated endocytotic pathway, incorporating receptor binding, clustering and recycling. The model predicts how the characteristics of receptor targeting, and the size and concentration of polymersomes alter uptake by tumour cells. The number of receptors per cell was identified as being the dominant mechanism accounting for the difference between cell types in polymersome uptake rate. FROM THE CLINICAL EDITOR: This article reports on a validated model developed through a combination of in vitro experimentation and mathematical modeling of nanoparticle uptake by cells via the clathrin-mediated endocytotic pathway. The model incorporates receptor binding, clustering, and recycling and predicts how the characteristics of receptor targeting, the size and concentration alter polymersome uptake by cancer cells.
© 2014.

Entities:  

Keywords:  Data fitting; Endocytosis; Mathematical model; Polymersome; Stochastic model

Mesh:

Substances:

Year:  2013        PMID: 24036098     DOI: 10.1016/j.nano.2013.08.013

Source DB:  PubMed          Journal:  Nanomedicine        ISSN: 1549-9634            Impact factor:   5.307


  7 in total

Review 1.  Light-Triggered Polymersome-Based Anticancer Therapeutics Delivery.

Authors:  Elisa Hernández Becerra; Jennifer Quinchia; Cristina Castro; Jahir Orozco
Journal:  Nanomaterials (Basel)       Date:  2022-03-02       Impact factor: 5.076

2.  Bioimaging predictors of rilpivirine biodistribution and antiretroviral activities.

Authors:  Brendan M Ottemann; Austin J Helmink; Wenting Zhang; Insiya Mukadam; Christopher Woldstad; James R Hilaire; Yutong Liu; JoEllyn M McMillan; Benson J Edagwa; R Lee Mosley; Jered C Garrison; Bhavesh D Kevadiya; Howard E Gendelman
Journal:  Biomaterials       Date:  2018-09-14       Impact factor: 12.479

3.  Quantification of intracellular payload release from polymersome nanoparticles.

Authors:  Edoardo Scarpa; Joanne L Bailey; Agnieszka A Janeczek; Patrick S Stumpf; Alexander H Johnston; Richard O C Oreffo; Yin L Woo; Ying C Cheong; Nicholas D Evans; Tracey A Newman
Journal:  Sci Rep       Date:  2016-07-11       Impact factor: 4.379

4.  Mathematical modeling in cancer nanomedicine: a review.

Authors:  Prashant Dogra; Joseph D Butner; Yao-Li Chuang; Sergio Caserta; Shreya Goel; C Jeffrey Brinker; Vittorio Cristini; Zhihui Wang
Journal:  Biomed Microdevices       Date:  2019-04-04       Impact factor: 2.838

Review 5.  Improving nanotherapy delivery and action through image-guided systems pharmacology.

Authors:  Thomas S C Ng; Michelle A Garlin; Ralph Weissleder; Miles A Miller
Journal:  Theranostics       Date:  2020-01-01       Impact factor: 11.556

6.  A mathematical investigation into the uptake kinetics of nanoparticles in vitro.

Authors:  Hannah West; Fiona Roberts; Paul Sweeney; Simon Walker-Samuel; Joseph Leedale; Helen Colley; Craig Murdoch; Rebecca J Shipley; Steven Webb
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

7.  Theory and Experimental Validation of a Spatio-temporal Model of Chemotherapy Transport to Enhance Tumor Cell Kill.

Authors:  Zhihui Wang; Romica Kerketta; Yao-Li Chuang; Prashant Dogra; Joseph D Butner; Terisse A Brocato; Armin Day; Rong Xu; Haifa Shen; Eman Simbawa; A S Al-Fhaid; S R Mahmoud; Steven A Curley; Mauro Ferrari; Eugene J Koay; Vittorio Cristini
Journal:  PLoS Comput Biol       Date:  2016-06-10       Impact factor: 4.475

  7 in total

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