Advances in RT-LAMP for COVID-19 testing and diagnosis.
Loop-mediated isothermal amplification
SARS-CoV-2 diagnostics
commercialization
point-of-care
primer design
sample preparation
Journal
Expert review of molecular diagnostics
ISSN: 1744-8352
Titre abrégé: Expert Rev Mol Diagn
Pays: England
ID NLM: 101120777
Informations de publication
Date de publication:
01 2023
01 2023
Historique:
pubmed:
26
1
2023
medline:
9
3
2023
entrez:
25
1
2023
Statut:
ppublish
Résumé
The SARS-CoV-2 pandemic, and the subsequent limitations on standard diagnostics, has vastly expanded the user base of Reverse Transcription Loop-mediated isothermal Amplification (RT-LAMP) in fundamental research and development. RT-LAMP has also penetrated commercial markets, with emergency use authorizations for clinical diagnosis. This review discusses the role of RT-LAMP within the context of other technologies like RT-qPCR and rapid antigen tests, progress in sample preparation strategies to enable simplified workflow for RT-LAMP directly from clinical specimens, new challenges with primer and assay design for the evolving pandemic, prominent detection modalities including colorimetric and CRISPR-mediated methods, and translational research and commercial development of RT-LAMP for clinical applications. RT-LAMP occupies a middle ground between RT-qPCR and rapid antigen tests. The simplicity approaches that of rapid antigen tests, making it suitable for point-of-care use, but the sensitivity nears that of RT-qPCR. RT-LAMP still lags RT-qPCR in fundamental understanding of the mechanism, and the interplay between sample preparation and assay performance. Industry is now beginning to address issues around scalability and usability, which could finally enable LAMP and RT-LAMP to find future widespread application as a diagnostic for other conditions, including other pathogens with pandemic potential.
Identifiants
pubmed: 36695788
doi: 10.1080/14737159.2023.2169071
doi:
Substances chimiques
RNA, Viral
0
Types de publication
Review
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM