Literature DB >> 26731194

Controlling fungal biofilms with functional drug delivery denture biomaterials.

Jianchuan Wen1, Fuguang Jiang1, Chih-Ko Yeh2, Yuyu Sun3.   

Abstract

Candida-associated denture stomatitis (CADS), caused by colonization and biofilm-formation of Candida species on denture surfaces, is a significant clinical concern. We show here that modification of conventional denture materials with functional groups can significantly increase drug binding capacity and control drug release rate of the resulting denture materials for potentially managing CADS. In our approach, poly(methyl methacrylate) (PMMA)-based denture resins were surface grafted with three kinds of polymers, poly(1-vinyl-2-pyrrolidinone) (PNVP), poly(methacrylic acid) (PMAA), and poly(2-hydroxyethyl methacrylate) (PHEMA), through plasma-initiated grafting polymerization. With a grafting yield as low as 2 wt%, the three classes of new functionalized denture materials showed significantly higher drug binding capacities toward miconazole, a widely used antifungal drug, than the original PMMA denture resin control, leading to sustained drug release and potent biofilm-controlling effects against Candida. Among the three classes of functionalized denture materials, PNVP-grafted resin provided the highest miconazole binding capability and the most powerful antifungal and biofilm-controlling activities. Drug binding mechanisms were studied. These results demonstrated the importance of specific interactions between drug molecules and functional groups on biomaterials, shedding lights on future design of CADS-managing denture materials and other related devices for controlled drug delivery.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biofilm-controlling; Denture; Drug delivery; Fungal; Grafting

Mesh:

Substances:

Year:  2015        PMID: 26731194      PMCID: PMC5706542          DOI: 10.1016/j.colsurfb.2015.12.028

Source DB:  PubMed          Journal:  Colloids Surf B Biointerfaces        ISSN: 0927-7765            Impact factor:   5.268


  32 in total

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