Topographical biomaterials instruct bacterial surface attachment and the in vivo host-pathogen response

Select | Print


Romero, Manuel; Luckett, Jeni; Figueredo, Grazziela; Carabelli, Alessandro; Carlier, Aurelie; Vasilevich, A.S.; Vermeulen, S.; Scurr, D.; Hook , Andrew; Dubern, Jean-Frederick; Winkler, Dave; Ghaemmaghami, Amir M; de Boer, Jan; Alexander, Morgan; Williams, Paul


2020-10-11


Journal Article


BioRxiv


NA


NA


NA


10


The prevention of biofilm development on the surfaces of implanted medical devices is a global challenge for the healthcare sector. Bioinstructive materials that intrinsically prevent bacterial biofilm formation and drive an appropriate host immune response are required to reduce the burden of healthcare associated infections. Although bacterial surface attachment is sensitive to micro- and nano- surface topographies, its exploitation has been limited by the lack of unbiased high throughput biomaterial screens combined with model-based methods capable of generating correlations and predicting generic responses. Consequently, we sought to fill this knowledge gap by using polymer chips (TopoChips) incorporating 2,176 combinatorially generated micro-topographies. Specific surface topographies exerted a profound impact on bacterial pathogen attachment independent of surface chemistry. A strong correlation between local surface landscape, bacterial attachment and biofilm formation was established using machine learning methods to facilitate analysis of specific surface parameters for predicting attachment. In vitro, lead topographies prevented colonization by motile (P. aeruginosa and P. mirabilis) and non-motile ( Staphylococcus aureus and Acinetobacter baumanii bacterial pathogens. In a murine foreign body infection model, specific anti-attachment topographies were shown to be refractory to P. aeruginosa colonization.


Cold Spring Harbour


bacterial attachment, medical devices, topographical biomaterials, modelling, machine learning


Microbiology not elsewhere classified; Cheminformatics and Quantitative Structure-Activity Relationships; Biomaterials ; Medical Devices; Nanobiotechnology


https://doi.org/10.1101/2020.10.10.328146


Link to Publisher's Version


EP207340


Journal article – Non-refereed


English


Romero, Manuel; Luckett, Jeni; Figueredo, Grazziela; Carabelli, Alessandro; Carlier, Aurelie; Vasilevich, A.S.; Vermeulen, S.; Scurr, D.; Hook , Andrew; Dubern, Jean-Frederick; Winkler, Dave; Ghaemmaghami, Amir M; de Boer, Jan; Alexander, Morgan; Williams, Paul. Topographical biomaterials instruct bacterial surface attachment and the in vivo host-pathogen response. BioRxiv. 2020; NA(NA NA):10. https://doi.org/10.1101/2020.10.10.328146



Loading citation data...

Citation counts
(Requires subscription to view)