Preliminary optimisation of a simplified sample preparation method to permit direct detection of SARS-CoV-2 within saliva samples using reverse-transcription loop-mediated isothermal amplification (RT-LAMP)
- PMID: 33358911
- PMCID: PMC7750029
- DOI: 10.1016/j.jviromet.2020.114048
Preliminary optimisation of a simplified sample preparation method to permit direct detection of SARS-CoV-2 within saliva samples using reverse-transcription loop-mediated isothermal amplification (RT-LAMP)
Abstract
We describe the optimisation of a simplified sample preparation method which permits rapid and direct detection of SARS-CoV-2 RNA within saliva, using reverse-transcription loop-mediated isothermal amplification (RT-LAMP). Treatment of saliva samples prior to RT-LAMP by dilution 1:1 in Mucolyse™, followed by dilution in 10 % (w/v) Chelex© 100 Resin and a 98 °C heat step for 2 min enabled detection of SARS-CoV-2 RNA in positive saliva samples. Using RT-LAMP, SARS-CoV-2 RNA was detected in as little as 05:43 min, with no amplification detected in 3097 real-time reverse transcription PCR (rRT-PCR) negative saliva samples from staff tested within a service evaluation study, or for other respiratory pathogens tested (n = 22). Saliva samples can be collected non-invasively, without the need for skilled staff and can be obtained from both healthcare and home settings. Critically, this approach overcomes the requirement for, and validation of, different swabs and the global bottleneck in obtaining access to extraction robots and reagents to enable molecular testing by rRT-PCR. Such testing opens the possibility of public health approaches for effective intervention during the COVID-19 pandemic through regular SARS-CoV-2 testing at a population scale, combined with isolation and contact tracing.
Keywords: COVID-19; Direct detection; Near patient testing; RT-LAMP; Rapid diagnostics; SARS-CoV-2; Saliva.
Copyright © 2020 Elsevier B.V. All rights reserved.
Conflict of interest statement
All reagents and equipment were purchased from a DHSC award to the University of Southampton (Grant Reference Number 2020/032). KMG has received reimbursement for speaking at conferences sponsored by companies selling nutritional products, and is part of an academic consortium that has received research funding from Abbott Nutrition, Nestec, BenevolentAI Bio Ltd. and Danone. EH was on secondment at GeneSys Biotech Limited for the duration of this project (from The Pirbright Institute) and helped with generation of the data. LOD data was generated by CW at GeneSys Biotech Limited; all other data was generated and analysed independently of the authors from OptiSense Limited and all other authors from GeneSys Biotech Limited.
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