Objective
Diabetic foot ulcers (DFU) are one of the most severe and costly long-term diabetic complications, causing a considerable financial burden to patients and healthcare sectors globally. Most commercial wound dressing materials are based on linear natural or synthetic polymers, and they are not capable of treating DFU efficiently. Innovative material design and therapeutic methodologies are critical to provide improved treatments for DFU. Hyperbranched dendritic polymers show advantages of having multiple terminal groups for multivalent interactions, low viscosity, cost-effectiveness and large-scale production in high yield, which are important features in practical biomedical applications. The aim of this proposal is to develop advanced cationic dendritic networks (CDNs) which are designed to eliminate infections and stimulate favorable immune modulation during the DFU healing process. In this context, a library of cationic heterofunctional hyperbranched dendritic-linear-dendritic copolymers (HBDLDs) based on polyethylene glycol (PEG) and 2,2-bismethylol propionic acid (bis-MPA) will be synthesized and hybridized with collagen to fabricate well-defined CDNs to deliver insulin locally for improving DFU treatment. The cations will provide long-term antibacterial activity; collagen, insulin and the dendritic structures and cationic charges are envisioned to provide the immune modulation during DFU healing process. I will study the effects of the CDNs on skin cells at molecular level, and identify functional groups and structures of materials that can actively promote DFU healing. Proof-of concept wound dressings will be designed based on the material properties and gelation mechanism, and methods for large scale production of the optimized hydrogels will be explored. It is promising that this project will provide a better treatment for DFU and potentially other chronic wounds.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global FellowshipsCoordinator
100 44 Stockholm
Sweden