Clinical validation of optimised RT-LAMP for the diagnosis of SARS-CoV-2 infection

Abstract We have optimised a reverse transcription-loop-mediated isothermal amplification (RT-LAMP) assay for the detection of SARS-CoV-2 from extracted RNA for clinical application. We improved the stability and reliability of the RT-LAMP assay by the addition of a temperature-dependent switch olig...

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Autores principales: Boon Lim, Jeremy Ratcliff, Dorota A. Nawrot, Yejiong Yu, Harshmeena R. Sanghani, Chia-Chen Hsu, Leon Peto, Simon Evans, Susanne H. Hodgson, Aikaterini Skeva, Maria Adam, Maria Panopoulou, Christos E. Zois, Katy Poncin, Sridhar R. Vasudevan, Siqi Dai, Shuai Ren, Hong Chang, Zhanfeng Cui, Peter Simmonds, Wei E. Huang, Monique I. Andersson
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:3a8b6fea2a544cd0a2eafc13f941fe382021-12-02T19:06:40ZClinical validation of optimised RT-LAMP for the diagnosis of SARS-CoV-2 infection10.1038/s41598-021-95607-12045-2322https://doaj.org/article/3a8b6fea2a544cd0a2eafc13f941fe382021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95607-1https://doaj.org/toc/2045-2322Abstract We have optimised a reverse transcription-loop-mediated isothermal amplification (RT-LAMP) assay for the detection of SARS-CoV-2 from extracted RNA for clinical application. We improved the stability and reliability of the RT-LAMP assay by the addition of a temperature-dependent switch oligonucleotide to reduce self- or off-target amplification. We then developed freeze-dried master mix for single step RT-LAMP reaction, simplifying the operation for end users and improving long-term storage and transportation. The assay can detect as low as 13 copies of SARS-CoV2 RNA per reaction (25-μL). Cross reactivity with other human coronaviruses was not observed. We have applied the new RT-LAMP assay for testing clinical extracted RNA samples extracted from swabs of 72 patients in the UK and 126 samples from Greece and demonstrated the overall sensitivity of 90.2% (95% CI 83.8–94.7%) and specificity of 92.4% (95% CI 83.2–97.5%). Among 115 positive samples which Ct values were less than 34, the RT-LAMP assay was able to detect 110 of them with 95.6% sensitivity. The specificity was 100% when RNA elution used RNase-free water. The outcome of RT-LAMP can be reported by both colorimetric detection and quantifiable fluorescent reading. Objective measures with a digitized reading data flow would allow for the sharing of results for local or national surveillance.Boon LimJeremy RatcliffDorota A. NawrotYejiong YuHarshmeena R. SanghaniChia-Chen HsuLeon PetoSimon EvansSusanne H. HodgsonAikaterini SkevaMaria AdamMaria PanopoulouChristos E. ZoisKaty PoncinSridhar R. VasudevanSiqi DaiShuai RenHong ChangZhanfeng CuiPeter SimmondsWei E. HuangMonique I. AnderssonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Boon Lim
Jeremy Ratcliff
Dorota A. Nawrot
Yejiong Yu
Harshmeena R. Sanghani
Chia-Chen Hsu
Leon Peto
Simon Evans
Susanne H. Hodgson
Aikaterini Skeva
Maria Adam
Maria Panopoulou
Christos E. Zois
Katy Poncin
Sridhar R. Vasudevan
Siqi Dai
Shuai Ren
Hong Chang
Zhanfeng Cui
Peter Simmonds
Wei E. Huang
Monique I. Andersson
Clinical validation of optimised RT-LAMP for the diagnosis of SARS-CoV-2 infection
description Abstract We have optimised a reverse transcription-loop-mediated isothermal amplification (RT-LAMP) assay for the detection of SARS-CoV-2 from extracted RNA for clinical application. We improved the stability and reliability of the RT-LAMP assay by the addition of a temperature-dependent switch oligonucleotide to reduce self- or off-target amplification. We then developed freeze-dried master mix for single step RT-LAMP reaction, simplifying the operation for end users and improving long-term storage and transportation. The assay can detect as low as 13 copies of SARS-CoV2 RNA per reaction (25-μL). Cross reactivity with other human coronaviruses was not observed. We have applied the new RT-LAMP assay for testing clinical extracted RNA samples extracted from swabs of 72 patients in the UK and 126 samples from Greece and demonstrated the overall sensitivity of 90.2% (95% CI 83.8–94.7%) and specificity of 92.4% (95% CI 83.2–97.5%). Among 115 positive samples which Ct values were less than 34, the RT-LAMP assay was able to detect 110 of them with 95.6% sensitivity. The specificity was 100% when RNA elution used RNase-free water. The outcome of RT-LAMP can be reported by both colorimetric detection and quantifiable fluorescent reading. Objective measures with a digitized reading data flow would allow for the sharing of results for local or national surveillance.
format article
author Boon Lim
Jeremy Ratcliff
Dorota A. Nawrot
Yejiong Yu
Harshmeena R. Sanghani
Chia-Chen Hsu
Leon Peto
Simon Evans
Susanne H. Hodgson
Aikaterini Skeva
Maria Adam
Maria Panopoulou
Christos E. Zois
Katy Poncin
Sridhar R. Vasudevan
Siqi Dai
Shuai Ren
Hong Chang
Zhanfeng Cui
Peter Simmonds
Wei E. Huang
Monique I. Andersson
author_facet Boon Lim
Jeremy Ratcliff
Dorota A. Nawrot
Yejiong Yu
Harshmeena R. Sanghani
Chia-Chen Hsu
Leon Peto
Simon Evans
Susanne H. Hodgson
Aikaterini Skeva
Maria Adam
Maria Panopoulou
Christos E. Zois
Katy Poncin
Sridhar R. Vasudevan
Siqi Dai
Shuai Ren
Hong Chang
Zhanfeng Cui
Peter Simmonds
Wei E. Huang
Monique I. Andersson
author_sort Boon Lim
title Clinical validation of optimised RT-LAMP for the diagnosis of SARS-CoV-2 infection
title_short Clinical validation of optimised RT-LAMP for the diagnosis of SARS-CoV-2 infection
title_full Clinical validation of optimised RT-LAMP for the diagnosis of SARS-CoV-2 infection
title_fullStr Clinical validation of optimised RT-LAMP for the diagnosis of SARS-CoV-2 infection
title_full_unstemmed Clinical validation of optimised RT-LAMP for the diagnosis of SARS-CoV-2 infection
title_sort clinical validation of optimised rt-lamp for the diagnosis of sars-cov-2 infection
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3a8b6fea2a544cd0a2eafc13f941fe38
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