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Validating a Predictive Structure-Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation. | LitMetric

AI Article Synopsis

  • * The O'Neill Review warns that by 2050, drug-resistant infections could cause ten million deaths annually, stressing the need for innovation in biomaterials that resist bacterial colonization.
  • * A new predictive quantitative structure-activity relationship (QSAR) has been developed to identify biofilm-resistant polymers, leading to successful synthesis of coatings that inhibit bacterial growth from multiple pathogens.

Article Abstract

Synthetic materials are an everyday component of modern healthcare yet often fail routinely as a consequence of medical-device-centered infections. The incidence rate for catheter-associated urinary tract infections is between 3% and 7% for each day of use, which means that infection is inevitable when resident for sufficient time. The O'Neill Review on antimicrobial resistance estimates that, left unchecked, ten million people will die annually from drug-resistant infections by 2050. Development of biomaterials resistant to bacterial colonization can play an important role in reducing device-associated infections. However, rational design of new biomaterials is hindered by the lack of quantitative structure-activity relationships (QSARs). Here, the development of a predictive QSAR is reported for bacterial biofilm formation on a range of polymers, using calculated molecular descriptors of monomer units to discover and exemplify novel, biofilm-resistant (meth-)acrylate-based polymers. These predictions are validated successfully by the synthesis of new monomers which are polymerized to create coatings found to be resistant to biofilm formation by six different bacterial pathogens: Pseudomonas aeruginosa, Proteus mirabilis, Enterococcus faecalis, Klebsiella pneumoniae, Escherichia coli, and Staphylococcus aureus.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613244PMC
http://dx.doi.org/10.1002/adma.201903513DOI Listing

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