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Implant-associated infections and compromised osseointegration pose a dual threat to bone implants due to the biological conflict between microbial invasion and host cell colonization. However, conventional contact-killing antimicrobial coatings may negatively affect the viability of mammalian cells, limiting their further application. Here, a surface modification strategy is proposed to help mammalian cells to win the "race for the surface" on the material-tissue interfaces. Through polyphenol-amine-mediated covalent modification, quaternary ammonium groups (bactericidal agents) and phosphate groups (promoting bone-regeneration factors) are spatially organized on titanium (Ti) surfaces to regulate the surface chemical characteristics of dental implants. The surface-engineered implants (Ti-AQs) exhibited balanced antibacterial and biocompatible properties. The optimized Ti-AQ-2 coating eradicated >99% of Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) via destruction of disrupted bacterial membranes through metabolic interference, and simultaneously promoted adhesion, proliferation and osteogenic differentiation of bone marrow mesenchymal stem cells through Ca-mediated signaling pathways. Moreover, Ti-AQs can drive immunomodulation biased macrophages toward pro-repair M2 polarization. In vivo evaluations in an implant-associated infection modal confirmed that Ti-AQ-2 inhibited infection at the early stage and enhanced bone-implant integration at the late stage. This work presents a facile strategy to regulate the surface performances for developing of antibacterial implants with high biocompatibility and bioactivity.
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http://dx.doi.org/10.1002/adma.202506113 | DOI Listing |
PLoS One
May 2022
Fatima Albohairy, Electron Microscope Research Unit, Health Sciences Research Center, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Nickel-titanium (NiTi) instruments used to treat root canal infections are affected by autoclave sterilization in various ways. The aim of this study was to compare the effect of autoclave sterilization on two NiTi rotary instruments that undergo different manufacturing treatments: The electro-polished Race and the heat-treated Race Evo, using scanning electron microscope analysis. In this in-vitro study, Race and Race-Evo instruments were subjected to a number of autoclaving cycles (0, 1, 3, 5, and 10).
View Article and Find Full Text PDFEquine Vet J
September 2017
Biomedical Engineering Graduate Group, University of California - Davis, Davis, California, USA.
Background: The metacarpophalangeal joint (fetlock) is the most commonly affected site of racehorse injury, with multiple observed pathologies consistent with extreme fetlock dorsiflexion. Race surface mechanics affect musculoskeletal structure loading and injury risk because surface forces applied to the hoof affect limb motions. Race surface mechanics are a function of controllable factors.
View Article and Find Full Text PDFJ Biomech
June 2016
Biomedical Engineering Graduate Group, University of California - Davis, Davis, CA, USA; Department of Anatomy, Physiology and Cell Biology, University of California - Davis School of Veterinary Medicine, Davis, CA, USA. Electronic address:
Race surface mechanics contribute to musculoskeletal injury in racehorses. These mechanics affect ground reaction forces applied to the hoof, and thus limb motions during stance that can contribute to musculoskeletal pathologies. Race surface design has been largely empirical within the industry, with little uniform consensus for injury prevention and performance.
View Article and Find Full Text PDFJ Biomech
February 2015
Biomedical Engineering Graduate Group, University of California - Davis, Davis, CA, USA; Department of Anatomy, Physiology and Cell Biology, University of California - Davis School of Veterinary Medicine, Davis, CA, USA. Electronic address:
Race surfaces have been associated with the incidence of racehorse musculoskeletal injury, the leading cause of racehorse attrition. Optimal race surface mechanical behaviors that minimize injury risk are unknown. Computational models are an economical method to determine optimal mechanical behaviors.
View Article and Find Full Text PDFPLoS One
June 2013
Biomedical Engineering Graduate Group, University of California Davis, Davis, California, United States of America.
Background: Racetrack surface is a risk factor for racehorse injuries and fatalities. Current research indicates that race surface mechanical properties may be influenced by material composition, moisture content, temperature, and maintenance. Race surface mechanical testing in a controlled laboratory setting would allow for objective evaluation of dynamic properties of surface and factors that affect surface behavior.
View Article and Find Full Text PDF