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PGSE-NMR and SANS studies of the interaction of model polymer therapeutics with mucin

PGSE-NMR and SANS studies of the interaction of model polymer therapeutics with mucin

Griffiths, Peter Charles ORCID: 0000-0002-6686-1271, Occhipinti, Paola, Morris, Christopher, Heenan, Richard K., King, Stephen Michael and Gumbleton, Mark (2009) PGSE-NMR and SANS studies of the interaction of model polymer therapeutics with mucin. Biomacromolecules, 11 (1). pp. 120-125. ISSN 1525-7797 (Print), 1526-4602 (Online) (doi:https://doi.org/10.1021/bm9009667)

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Abstract

The viscous mucus coating that adheres to the epithelial surfaces of mammalian organs provides protection for the underlying tissues and is an efficient barrier to drug delivery. Pulsed-gradient spin−echo NMR and small-angle neutron scattering have been used to study the aqueous solution interaction of various model polymer therapeutics with mucin, the principle organic component within mucus. Nonionic polymers such as linear and star-branched poly(ethylene oxide) (PEO) and dextrin showed no appreciable interaction with mucin but suffered a moderate retardation in their rate of diffusion through the mucin solution. A strong interaction with mucin was observed for a series of polyamidoamine (PAMAM) dendrimers and hyperbranched poly(ethylene imine) (PEI), which displayed a characteristic pH-dependent profile and led to significant reductions in their rates of diffusion. These observations have implications for the design of optimized polymer therapeutic structures being adopted for the delivery of therapeutic moieties through mucin-rich environments. Copyright © 2009 American Chemical Society.

Item Type: Article
Additional Information: [1] Publication Date (Web): December 01, 2009. [2] Published in print: January 11, 2010. [3] Published in Biomacromolecules, 2010, 11 (1), pp 120-125 DOI: 10.1021/bm9009667
Uncontrolled Keywords: polymer therapeutics, mucin
Subjects: R Medicine > RM Therapeutics. Pharmacology
R Medicine > RS Pharmacy and materia medica
Pre-2014 Departments: School of Science
Last Modified: 26 Sep 2019 11:15
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/9570

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