Colorimetric and fluorometric reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay for diagnosis of SARS-CoV-2.


Journal

Functional & integrative genomics
ISSN: 1438-7948
Titre abrégé: Funct Integr Genomics
Pays: Germany
ID NLM: 100939343

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 08 03 2022
accepted: 04 09 2022
revised: 19 07 2022
pubmed: 12 9 2022
medline: 30 11 2022
entrez: 11 9 2022
Statut: ppublish

Résumé

The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused millions of infections and deaths worldwide since it infected humans almost 3 years ago. Improvements of current assays and the development of new rapid tests or to diagnose SARS-CoV-2 are urgent. Reverse transcription loop-mediated isothermal amplification (RT-LAMP) is a rapid and propitious assay, allowing to detect both colorimetric and/or fluorometric nucleic acid amplifications. This study describes the analytical and clinical evaluation of RT-LAMP assay for detection of SARS-CoV-2, by designing LAMP primers targeting N (nucleocapsid phosphoprotein), RdRp (polyprotein), S (surface glycoprotein), and E (envelope protein) genes. The assay's performance was compared with the gold standard RT-PCR, yielding 94.6% sensitivity and 92.9% specificity. Among the tested primer sets, the ones for S and N genes had the highest analytical sensitivity, showing results in about 20 min. The colorimetric and fluorometric comparisons revealed that the latter is faster than the former. The limit of detection (LoD) of RT-LAMP reaction in both assays is 50 copies/µl of the reaction mixture. However, the simple eye-observation advantage of the colorimetric assay (with a color change from yellow to red) serves a promising on-site point-of-care testing method anywhere, including, for instance, laboratory and in-house applications.

Identifiants

pubmed: 36089609
doi: 10.1007/s10142-022-00900-5
pii: 10.1007/s10142-022-00900-5
pmc: PMC9464610
doi:

Substances chimiques

RNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1391-1401

Subventions

Organisme : University of Dammam
ID : COVID19-2020-026-IRMC
Organisme : University of Dammam
ID : 2020-IRMC-S-3

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Galyah Alhamid (G)

Department of Genetics Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Biotechnology Postgraduate Program at Institute for Research and Medical Consultation (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Huseyin Tombuloglu (H)

Department of Genetics Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia. htoglu@iau.edu.sa.

Dalal Motabagani (D)

College of Medicine, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.

Dana Motabagani (D)

College of Medicine, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.

Ali A Rabaan (AA)

Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.
College of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia.
Department of Public Health and Nutrition, The University of Haripur, Haripur, 22610, Pakistan.

Kubra Unver (K)

Ficus Biotechnology, Ostim OSB Mah, 100. Yil Blv, No: 55, Yenimahalle, Ankara, Turkey.

Gabriel Dorado (G)

Dep. Bioquímica Y Biología Molecular, Universidad de Córdoba, Campus Rabanales C6-1-E17, Campus de Excelencia Internacional Agroalimentario (ceiA3), 14071, Córdoba, Spain.

Ebtesam Al-Suhaimi (E)

Biology Department, College of Science and Institute of Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.

Turgay Unver (T)

Ficus Biotechnology, Ostim OSB Mah, 100. Yil Blv, No: 55, Yenimahalle, Ankara, Turkey. turgayunver@gmail.com.

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Classifications MeSH