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Biomimetic Materials to Characterize Bacteria-host Interactions
Published on: November 16, 2015
Nanoscale investigation of pathogenic microbial adhesion to a biomaterial
Ray J Emerson1, Terri A Camesano
1Department of Chemical Engineering, Worcester Polytechnic Institute, 100 Institute Rd., Worcester, MA 01609, USA.
Abstract:
Microbial infections of medical implants occur in more than 2 million surgical cases each year in the United States alone. These increase patient morbidity and mortality, as well as patient cost and recovery time. Many treatments are available, but none are guaranteed to remove the infection. In many cases, the device infections are caused by the adhesion of microbes to the implant, ensuing growth, pathogenesis, and dissemination. The purpose of this work is to examine the initial events in microbial adhesion by simulating the approach and contact between a planktonic cell, immobilized on an atomic force microscope (AFM) cantilever, and a biomaterial or biofilm substrate. The two model microbes used in this study, Candida parapsilosis (ATCC 90018) and Pseudomonas aeruginosa (ATCC 10145), were chosen for both their clinical relevance and their ease of acquisition and handling in the laboratory setting. Attractive interactions exist between C. parapsilosis and both unmodified silicone rubber and P. aeruginosa biofilms. Using C. parapsilosis cells immobilized on AFM cantilevers with a silicone substrate, we have measured attractive forces of 4.3 +/- 0.25 nN in the approach portion of the force cycle. On P. aeruginosa biofilms, the magnitude of the attractive force decreases to 2.0 +/- 0.40 nN and is preceded by a 2.0-nN repulsion at approximately 75 nm from the cell surface. These data suggest that C. parapsilosis may adhere to both silicone rubber and P. aeruginosa biofilms, possibly contributing to patient morbidity and mortality. Characterization of cell-biomaterial and cell-cell interactions allows for a quantitative link between the physicomechanical and physicochemical properties of implant materials and the nanoscale interactions leading to microbial colonization and infection.
Insights
Microbial adhesion to medical implants, a major cause of infection, was studied using atomic force microscopy. Candida parapsilosis shows attractive forces to silicone and Pseudomonas aeruginosa biofilms, indicating potential for implant colonization.
Area of Science:
- Biomaterials Science
- Microbiology
- Nanotechnology
Background:
- Medical implant infections affect millions annually, increasing morbidity, mortality, and healthcare costs.
- Current treatments often fail to eradicate device-associated infections, highlighting the need to understand initial microbial adhesion.
- Microbial colonization of implants begins with cell adhesion to the biomaterial surface.
Purpose of the Study:
- To investigate the initial nanoscale interactions during microbial adhesion to biomaterials and biofilms.
- To quantify the forces involved in the approach and contact between microbial cells and implant surfaces.
- To utilize atomic force microscopy (AFM) to simulate early-stage microbial colonization events.
Main Methods:
- Immobilizing microbial cells (Candida parapsilosis, Pseudomonas aeruginosa) on AFM cantilevers.
- Simulating cell-surface interactions with biomaterial (silicone rubber) and biofilm substrates.
- Measuring nanoscale forces (attractive and repulsive) during cell-substrate approach and contact using AFM.
Main Results:
- Attractive forces of 4.3 ± 0.25 nN were measured between Candida parapsilosis and silicone rubber.
- Candida parapsilosis exhibited attractive forces of 2.0 ± 0.40 nN towards Pseudomonas aeruginosa biofilms.
- A repulsive force of approximately 2.0 nN preceded the attractive force on P. aeruginosa biofilms at ~75 nm.
Conclusions:
- Candida parapsilosis demonstrates adhesive interactions with both silicone rubber and Pseudomonas aeruginosa biofilms.
- These nanoscale adhesive forces may contribute to the initial colonization of medical implants by microbes.
- Understanding these cell-biomaterial and cell-cell interactions provides a quantitative basis for preventing implant-associated infections.

