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Rapid and sensitive molecular detection of antimicrobial resistance (AMR); towards point-of-care testing in low resource settings
Abstract   Open access   Peer reviewed

Rapid and sensitive molecular detection of antimicrobial resistance (AMR); towards point-of-care testing in low resource settings

A Ayfan, Nicole G Ertl, D Whiley, D Paterson, C Heney, P Harris, Joanne Macdonald, A Irwin and H Zowawi
Journal of Infection and Public Health, Vol.13(2), pp.326-327
GCCMID, 4th (Dubai, United Arab Emirates, 06-Nov-2019–09-Nov-2019)
2020
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https://doi.org/10.1016/j.jiph.2020.01.059View
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Abstract

Public Health and Health Services Other Medical and Health Sciences
Background and Purpose: Antimicrobial resistance (AMR) is on the rise and presents serious new clinical and public health challenges. Rapid detection of AMR is needed to inform appropriate treatment for many infections; however, conventional methods of detection such as disk diffusion, broth micro-dilution and E-test can take at least 24 hours. While molecular detection methods such as PCR and direct sequencing can decrease the turnaround time to a few hours, these are typically laboratory based and/or require specialist equipment and expert users. The purpose of this study was to develop a rapid and sensitive AMR detection method, without the need for expensive equipment or expertise, which is suitable for point-of-care testing in low resource settings. Methodology: Our approach utilized recombinase polymerase amplification (RPA) with lateral-flow detection and was piloted for detection of NDM carbapenemases. In brief, primers and probes were designed for sensitive and specific detection of NDM genes. Up to this point, the assay was optimized and tested for the analytical sensitivity. The results of turnaround times as well as the clinical sensitivity and specificity are being assessed. Results and Discussions: Initial assessment shows that the RPA method gives results in approximately 20 minutes including sample-handling and incubation time. The limit of detection was 10 copies/ul for NDM. Conclusion: This study demonstrates the effectiveness of RPA-based technology for rapid AMR gene detection. Combining the technology with the lateral-flow detection promotes a key advantage of this approach to make it suitable for point-of-care testing in low resource settings.

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