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

Validating a Predictive Structure-Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation.
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DOI:
10.1002/adma.201903513
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发表时间:
2019-12
期刊:
Advanced materials (Deerfield Beach, Fla.)
影响因子:
--
通讯作者:
Alexander MR
Alexander MR
中科院分区:
其他
文献类型:
--
作者:
Dundas AA;Sanni O;Dubern JF;Dimitrakis G;Hook AL;Irvine DJ;Williams P;Alexander MR

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Synthetic materials are an everyday component of modern healthcare yet often fail routinely as a consequence of medical device-centred 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, 10 million people will die annually from drug-resistant infections by 2050. Development of biomaterials resistant to bacterial colonisation 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 (QSAR). Here we report the development of a predictive QSAR 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 we polymerize 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. A high efficacy for reducing biofilm formation of six clinically relevant bacterial species to catheter associated urinary tract infections is observed with an average 55-fold reduction compared to clinically used silicone catheters.
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影响因子: --
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