Validation of a rapid, saliva-based, and ultra-sensitive SARS-CoV-2 screening system for pandemic-scale infection surveillance

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作者
Robert E. Dewhurst
Tatjana Heinrich
Paul Watt
Paul Ostergaard
Jose M. Marimon
Mariana Moreira
Philip E. Houldsworth
Jack D. Rudrum
David Wood
Sulev Kõks
机构
[1] Perron Institute for Neurological and Translational Science,Telethon Kids Institute
[2] Avicena Systems Ltd,Biodonostia Health Research Institute, Infectious Diseases Area, Osakidetza Basque Health Service
[3] University of Western Australia,Centre for Molecular Medicine and Innovative Therapeutics
[4] Donostialdea Integrated Health Organization,undefined
[5] Lancs Lamp Laboratory,undefined
[6] University of Western Australia,undefined
[7] Murdoch University,undefined
[8] Prion Ltd,undefined
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Scientific Reports | / 12卷
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摘要
Without any realistic prospect of comprehensive global vaccine coverage and lasting immunity, control of pandemics such as COVID-19 will require implementation of large-scale, rapid identification and isolation of infectious individuals to limit further transmission. Here, we describe an automated, high-throughput integrated screening platform, incorporating saliva-based loop-mediated isothermal amplification (LAMP) technology, that is designed for population-scale sensitive detection of infectious carriers of SARS-CoV-2 RNA. Central to this surveillance system is the “Sentinel” testing instrument, which is capable of reporting results within 25 min of saliva sample collection with a throughput of up to 3840 results per hour. It incorporates continuous flow loading of samples at random intervals to cost-effectively adjust for fluctuations in testing demand. Independent validation of our saliva-based RT-LAMP technology on an automated LAMP instrument coined the “Sentinel”, found 98.7% sensitivity, 97.6% specificity, and 98% accuracy against a RT-PCR comparator assay, confirming its suitability for surveillance screening. This Sentinel surveillance system offers a feasible and scalable approach to complement vaccination, to curb the spread of COVID-19 variants, and control future pandemics to save lives.
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