DNA Microarray-based Detection of Bacteria in Samples Containing Antibiotics: Effect of Antibiotics on the Performance of Pathogen Detection Assays

Shin, So Youn; Kim, Dong-Min; Jo, Yeonggyu; Kim, June Myung; Yoo, Seung Min

doi:10.1007/s12257-020-0342-9

Cited by 4 publications

(1 citation statement)

References 44 publications

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“…For example, microarray patches have been developed that allow an easily controllable and accurate way of delivering antibiotics directly into the blood stream or a biofilm [61,62]. Ultimately, there is potential to combine this approach with real-time infection monitoring [63] and extract biofilm parameters for treatment optimization. In the future, it may be possible to adopt a closed-loop methodology for infection management or to tailor treatments to individual patients.…”

Section: Discussionmentioning

confidence: 99%

Optimization of periodic treatment strategies for bacterial biofilms using an agent-based in silico approach

Blee,

Gorochowski,

Hauert

2024

J. R. Soc. Interface.

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Biofilms are responsible for most chronic infections and are highly resistant to antibiotic treatments. Previous studies have demonstrated that periodic dosing of antibiotics can help sensitize persistent subpopulations and reduce the overall dosage required for treatment. Because the dynamics and mechanisms of biofilm growth and the formation of persister cells are diverse and are affected by environmental conditions, it remains a challenge to design optimal periodic dosing regimens. Here, we develop a computational agent-based model to streamline this process and determine key parameters for effective treatment. We used our model to test a broad range of persistence switching dynamics and found that if periodic antibiotic dosing was tuned to biofilm dynamics, the dose required for effective treatment could be reduced by nearly 77%. The biofilm architecture and its response to antibiotics were found to depend on the dynamics of persister cells. Despite some differences in the response of biofilm governed by different persister switching rates, we found that a general optimized periodic treatment was still effective in significantly reducing the required antibiotic dose. As persistence becomes better quantified and understood, our model has the potential to act as a foundation for more effective strategies to target bacterial infections.

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Section: Discussionmentioning

confidence: 99%

Optimization of periodic treatment strategies for bacterial biofilms using an agent-based in silico approach

Blee,

Gorochowski,

Hauert

2024

J. R. Soc. Interface.

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Ultrasensitive detection of genetic variation based on dual signal amplification assisted by isothermal amplification and cobalt oxyhydroxide nanosheets/quantum dots

Shen,

Wang,

Yang

et al. 2023

Microchim Acta

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Review—Emerging Trends in the Development of Electrochemical Devices for the On-Site Detection of Food Contaminants

et al. 2022

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Traditional laboratory-based sensing strategies for food contaminant detection are often limited because they are time consuming and expensive and require trained personnel, which makes them unsuitable for routine sensing. Therefore, the scientific and industrial community is showing enormous interest in the design and development of portable sensing devices for the on-site and point-of-care detection of food contaminants. Portability is one of the chief characteristic features of designing contemporary analytical devices. Portable devices have received tremendous attention, as these novel devices have advanced the field of sensing. Various sensing strategies have been utilized for on-site detection of food contaminants. Among these, portable electrochemical devices have emerged vigorously in the past few years. Scientists and industrialists have worked tirelessly to develop portable electrochemical devices for a minute amount of food contaminant detection in water bodies and food products. The current work aims to demonstrate recent research progress related to the design, development, and improvement of portable electrochemical devices for detection of food contaminants.

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DNA Microarray-based Detection of Bacteria in Samples Containing Antibiotics: Effect of Antibiotics on the Performance of Pathogen Detection Assays

Cited by 4 publications

References 44 publications

Optimization of periodic treatment strategies for bacterial biofilms using an agent-based in silico approach

Optimization of periodic treatment strategies for bacterial biofilms using an agent-based in silico approach

Ultrasensitive detection of genetic variation based on dual signal amplification assisted by isothermal amplification and cobalt oxyhydroxide nanosheets/quantum dots

Review—Emerging Trends in the Development of Electrochemical Devices for the On-Site Detection of Food Contaminants

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