Analytical Sensitivity of the SalivaDirect™ Assay on the Liberty16 for detecting SARS-CoV-2 B.1.1.529 Omicron
Tan, Y. P.; Al-Halbouni, M.; Chen, C.-H.; Hirst, D. B.; Pickering, P. J.
Show abstract
The newly emerged Omicron variant of SARS-CoV-2 has numerous mutations that are not found in other variants of concern (VOCs). Despite acquiring extended functions in adapting to the host-cell environment, the viral genetic variation exerts a potential negative impact on a molecular test, which in turn, compromises public health and safety. The Liberty16 has been clinically validated as a flexible and accessible device system for running the affordable SalivaDirect real time PCR detection assay for SARS-CoV-2 especially in low resource settings. Preliminary, based on in-silico sequence analysis, we found that Omicrons mutation at position 28,311 overlaps with the CDC 2019-nCoV_N1 probe binding region. In order to verify the performance of CDC 2019-nCoV-N1 primers-probe set in detecting the Omicron variant of SARS-CoV-2, plasmids containing Wuhan/WH01/2019 (wild-type) and B.1.1.529 (Omicron) sequences were serially diluted and subsequently directed for SalivaDirect RT-qPCR detection on Liberty16 using commercially procured reagents. Our findings provide analytical support for reports that the mutations in the Omicron variant have little or no impact on SalivaDirect assay in terms of amplification efficiency and detection sensitivity using either standard and the recently reported fast Liberty16 SalivaDirect thermal cycling protocols.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A broad-based probe-free qPCR assay for detection and discrimination of three human herpes viruses 95%
- A one-step real-time RT-PCR assay for simultaneous typing of SARS-CoV-2 mutations associated with the E484K and N501Y spike protein amino-acid substitutions 95%
- Analysis of external quality assessment samples revealed crucial performance differences between commercial RT-PCR assays for SARS-CoV-2 detection when taking extraction methods and real-time-PCR instruments into account 94%
Similar papers in this journal
- Evaluation of seven different rapid methods for nucleic acid detection of SARS-COV-2 virus 94%
- Detection of SARS-CoV-2 in Different Human Biofluids Using the Loop-Mediated Isothermal Amplification Assay: A Prospective Diagnostic Study in Fortaleza, Brazil 94%
- Real-life performance of a novel antigen detection test on nasopharyngeal specimens for SARS-CoV-2 infection diagnosis: a prospective study 93%
Similar papers in this journal
- A Paper-based Loop-Mediated Isothermal Amplification (LAMP) Assay for Highly Pathogenic Avian Influenza 96%
- Development and validation of cost-effective one-step multiplex RT-PCR assay for detecting the SARS-CoV-2 infection using SYBR Green melting curve analysis 95%
- Performance evaluation of a non-invasive one-step multiplex RT-qPCR assay for detection of SARS-CoV-2 direct from human saliva 95%
Similar papers in this journal
- A Rapid SARS-CoV-2 Variant Detection by Molecular-Clamping Based RT-qPCR 96%
- RT-LAMP-CRISPR-Cas13a technology as a promising diagnostic tool for the SARS-CoV-2 virus 95%
- A Reagent and Virus Benchmarking Panel for a Uniform Analytical Performance Assessment of N Antigen–Based Diagnostic Tests for COVID-19 94%
Similar papers in this journal
- Evaluation of nCoV-QS (MiCo BioMed) for RT-qPCR detection of SARS-CoV-2 from nasopharyngeal samples using CDC FDA EUA qPCR kit as a gold standard: an example of the need of validation studies. 95%
- Evaluation of a fully automated high-throughput SARS-CoV-2 multiplex qPCR assay with build-in screening functionality for DelHV69/70- and N501Y variants such as B.1.1.7 95%
- Pushing beyond specifications: Evaluation of linearity and clinical performance of a fully automated SARS-CoV-2 RT-PCR assay for reliable quantification in blood and other materials outside recommendations 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.