Beta-lactam antibiotics

Pandey, Neelanjana; Cascella, Marco

doi:10.1016/b978-0-444-53717-1.00377-2

Cited by 2 publications

References 349 publications

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Recovering the susceptibility of antibiotic-resistant bacteria using photooxidative damage

Soares,

Yakovlev,

Blanco

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

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Multidrug-resistant bacteria are one of the most serious threats to infection control. Few new antibiotics have been developed; however, the lack of an effective new mechanism of their action has worsened the situation. Photodynamic inactivation (PDI) can break antimicrobial resistance, since it potentiates the effect of antibiotics, and induces oxidative stress in microorganisms through the interaction of light with a photosensitizer. This paper addresses the application of PDI for increasing bacterial susceptibility to antibiotics and helping in bacterial persistence and virulence. The effect of photodynamic action on resistant bacteria collected from patients and bacteria cells with induced resistance in the laboratory was investigated. Staphylococcus aureus resistance breakdown levels for each antibiotic (amoxicillin, erythromycin, and gentamicin) from the photodynamic effect (10 µM curcumin, 10 J/cm 2 ) and its maintenance in descendant microorganisms were demonstrated within five cycles after PDI application. PDI showed an innovative feature for modifying the degree of bacterial sensitivity to antibiotics according to dosages, thus reducing resistance and persistence of microorganisms from standard and clinical strains. We hypothesize a reduction in the degree of antimicrobial resistance through photooxidative action combats antibiotic failures.

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Recovering the susceptibility of antibiotic-resistant bacteria using photooxidative damage

Soares,

Yakovlev,

Blanco

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

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Comparing Optimization Criteria in Antibiotic Allocation Protocols

Jamieson-Lane

Friedrich

Blasius

2021

Preprint

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Clinicians prescribing antibiotics in a hospital context follow one of several possible “treatment protocols” -heuristic rules designed to balance the immediate needs of patients against the long term threat posed by the evolution of antibiotic resistance and multi-resistant bacteria. Several criteria have been proposed for assessing these protocols, unfortunately these criteria frequently conflict with one another, each providing a different recommendation as to which treatment protocol is best. Here we review and compare these optimization criteria. We are able to demonstrate that criteria focused primarily on slowing evolution of resistance are directly antagonistic to patient health both in the short and long term. We provide a new optimization criteria of our own, intended to more meaningfully balance the needs of the future and present. Asymptotic methods allow us to evaluate this criteria and provide insights not readily available through the numerical methods used previously in the literature. When cycling antibiotics, we find an antibiotic switching time which proves close to optimal across a wide range of modelling assumptions.

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Beta-lactam antibiotics

Cited by 2 publications

References 349 publications

Recovering the susceptibility of antibiotic-resistant bacteria using photooxidative damage

Recovering the susceptibility of antibiotic-resistant bacteria using photooxidative damage

Comparing Optimization Criteria in Antibiotic Allocation Protocols

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