Literature DB >> 28485961

Unraveling Antimicrobial Susceptibility of Bacterial Networks on Micropillar Architectures Using Intrinsic Phase-Shift Spectroscopy.

Heidi Leonard1, Sarel Halachmi1, Nadav Ben-Dov1, Ofer Nativ1, Ester Segal1.   

Abstract

With global antimicrobial resistance becoming increasingly detrimental to society, improving current clinical antimicrobial susceptibility testing (AST) is crucial to allow physicians to initiate appropriate antibiotic treatment as early as possible, reducing not only mortality rates but also the emergence of resistant pathogens. In this work, we tackle the main bottlenecks in clinical AST by designing biofunctionalized silicon micropillar arrays to provide both a preferable solid-liquid interface for bacteria networking and a simultaneous transducing element that monitors the response of bacteria when exposed to chosen antibiotics in real time. We harness the intrinsic ability of the micropillar architectures to relay optical phase-shift reflectometric interference spectroscopic measurements (referred to as PRISM) and employ it as a platform for culture-free, label-free phenotypic AST. The responses of E. coli to various concentrations of five clinically relevant antibiotics are optically tracked by PRISM, allowing for the minimum inhibitory concentration (MIC) values to be determined and compared to both standard broth microdilution testing and clinic-based automated AST system readouts. Capture of bacteria within these microtopologies, followed by incubation of the cells with the appropriate antibiotic solution, yields rapid determinations of antibiotic susceptibility. This platform not only provides accurate MIC determinations in a rapid manner (total assay time of 2-3 h versus 8 h with automated AST systems) but can also be employed as an advantageous method to differentiate bacteriostatic and bactericidal antibiotics.

Entities:  

Keywords:  antimicrobial susceptibility; bacterial resistance; diffraction grating spectroscopy; micropillars; real-time antimicrobial susceptibility tests

Mesh:

Substances:

Year:  2017        PMID: 28485961     DOI: 10.1021/acsnano.7b02217

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  8 in total

1.  Rapid antibiotic susceptibility testing based on bacterial motion patterns with long short-term memory neural networks.

Authors:  Rafael Iriya; Wenwen Jing; Karan Syal; Manni Mo; Chao Chen; Hui Yu; Shelley E Haydel; Shaopeng Wang; Nongjian Tao
Journal:  IEEE Sens J       Date:  2020-01-17       Impact factor: 3.301

2.  Rapid identification of the resistance of urinary tract pathogenic bacteria using deep learning-based spectroscopic analysis.

Authors:  Qiuyue Fu; Yanjiao Zhang; Peng Wang; Jiang Pi; Xun Qiu; Zhusheng Guo; Ya Huang; Yi Zhao; Shaoxin Li; Junfa Xu
Journal:  Anal Bioanal Chem       Date:  2021-10-21       Impact factor: 4.478

3.  Microfluidic Systems for Antimicrobial Susceptibility Testing.

Authors:  Ann-Kathrin Klein; Andreas Dietzel
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

4.  Rapid Detection of Escherichia coli Antibiotic Susceptibility Using Live/Dead Spectrometry for Lytic Agents.

Authors:  Julia Robertson; Cushla McGoverin; Joni R White; Frédérique Vanholsbeeck; Simon Swift
Journal:  Microorganisms       Date:  2021-04-26

Review 5.  Review of Label-Free Monitoring of Bacteria: From Challenging Practical Applications to Basic Research Perspectives.

Authors:  Beatrix Péter; Eniko Farkas; Sandor Kurunczi; Zoltán Szittner; Szilvia Bősze; Jeremy J Ramsden; Inna Szekacs; Robert Horvath
Journal:  Biosensors (Basel)       Date:  2022-03-22

6.  Specific and rapid reverse assaying protocol for detection and antimicrobial susceptibility testing of Pseudomonas aeruginosa based on dual molecular recognition.

Authors:  Yong He; Hang Zhao; Yuanwen Liu; He Zhou
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

7.  Antifungal Susceptibility Testing of Aspergillus niger on Silicon Microwells by Intensity-Based Reflectometric Interference Spectroscopy.

Authors:  Christopher Heuer; Heidi Leonard; Nadav Nitzan; Ariella Lavy-Alperovitch; Naama Massad-Ivanir; Thomas Scheper; Ester Segal
Journal:  ACS Infect Dis       Date:  2020-09-21       Impact factor: 5.084

8.  A lectin-coupled porous silicon-based biosensor: label-free optical detection of bacteria in a real-time mode.

Authors:  Mona Yaghoubi; Fereshteh Rahimi; Babak Negahdari; Ali Hossein Rezayan; Azizollah Shafiekhani
Journal:  Sci Rep       Date:  2020-09-29       Impact factor: 4.379

  8 in total

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