BACKGROUND: New SARS-CoV-2 variants with increased transmissibility, like B.1.1.7, first detected in England or B.1.351, first detected in South Africa, have caused considerable concern worldwide. In order to contain the spread of these lineages, it is of utmost importance to have rapid, sensitive and high-throughput detection methods at hand. METHODS: A set of RT-qPCR assays was modified for a diagnostic SARS-CoV-2 multiplex assay including detection of the del-HV69/70 and N501Y mutations on the cobas6800 platform. Analytical sensitivity was assessed for both wild-type SARS-CoV-2 and B.1.1.7 lineage by serial dilution. For clinical performance, a total of 176 clinical samples were subjected to the test and results compared to a commercial manual typing-PCR assay and next generation sequencing as gold standard. RESULTS: The multiplex assay was highly sensitive for detection of SARS-CoV-2 RNA in clinical samples, with an LoD of 6.16 cp/ml (CI: 4.00-8.31). LoDs were slightly higher for detection of the HV69/70 deletion (85.92, CI: 61-194.41) and the N501Y SNP (105.99 cp/ml, CI: 81.59 - 183.66). A total of 176 clinical samples were tested with the assay, including 50 samples containing SARS-CoV-2 of the B.1.1.7 lineage, one containing B.1.351 and 85 non-B.1.1.7/B.1.351 lineage, of which three also harbored a HV69/70 deletion. All were correctly identified by the multiplex assay. CONCLUSION: We describe here a highly sensitive, fully automated multiplex PCR assay for the simultaneous detection of the del-HV69/70 and N501Y mutations that can distinguish between B.1.1.7 and other lineages. The assay allows for high-throughput screening for currently relevant variants in clinical samples prior to sequencing.
BACKGROUND: New SARS-CoV-2 variants with increased transmissibility, like B.1.1.7, first detected in England or B.1.351, first detected in South Africa, have caused considerable concern worldwide. In order to contain the spread of these lineages, it is of utmost importance to have rapid, sensitive and high-throughput detection methods at hand. METHODS: A set of RT-qPCR assays was modified for a diagnostic SARS-CoV-2 multiplex assay including detection of the del-HV69/70 and N501Y mutations on the cobas6800 platform. Analytical sensitivity was assessed for both wild-type SARS-CoV-2 and B.1.1.7 lineage by serial dilution. For clinical performance, a total of 176 clinical samples were subjected to the test and results compared to a commercial manual typing-PCR assay and next generation sequencing as gold standard. RESULTS: The multiplex assay was highly sensitive for detection of SARS-CoV-2 RNA in clinical samples, with an LoD of 6.16 cp/ml (CI: 4.00-8.31). LoDs were slightly higher for detection of the HV69/70 deletion (85.92, CI: 61-194.41) and the N501Y SNP (105.99 cp/ml, CI: 81.59 - 183.66). A total of 176 clinical samples were tested with the assay, including 50 samples containing SARS-CoV-2 of the B.1.1.7 lineage, one containing B.1.351 and 85 non-B.1.1.7/B.1.351 lineage, of which three also harbored a HV69/70 deletion. All were correctly identified by the multiplex assay. CONCLUSION: We describe here a highly sensitive, fully automated multiplex PCR assay for the simultaneous detection of the del-HV69/70 and N501Y mutations that can distinguish between B.1.1.7 and other lineages. The assay allows for high-throughput screening for currently relevant variants in clinical samples prior to sequencing.
Authors: Mikel Urrutikoetxea-Gutierrez; Domingo Fernández Vecilla; María Carmen Nieto Toboso; José Luis Diaz de Tuesta Del Arco Journal: Enferm Infecc Microbiol Clin Date: 2022-05-23 Impact factor: 1.994
Authors: Fabian Heinrich; Michael F Nentwich; Eric Bibiza-Freiwald; Dominik Nörz; Kevin Roedl; Martin Christner; Armin Hoffmann; Flaminia Olearo; Stefan Kluge; Martin Aepfelbacher; Dominic Wichmann; Marc Lütgehetmann; Susanne Pfefferle Journal: Open Forum Infect Dis Date: 2021-10-06 Impact factor: 3.835
Authors: Filipe Zimmer Dezordi; Antonio Marinho da Silva Neto; Túlio de Lima Campos; Pedro Miguel Carneiro Jeronimo; Cleber Furtado Aksenen; Suzana Porto Almeida; Gabriel Luz Wallau Journal: Viruses Date: 2022-01-23 Impact factor: 5.048
Authors: Sofia Apostolidou; Theresa Harbauer; Peter Lasch; Daniel Biermann; Maja Hempel; Marc Lütgehetmann; Susanne Pfefferle; Jochen Herrmann; André Rüffer; Konrad Reinshagen; Rainer Kozlik-Feldmann; Anna Gieras; Inga Kniep; Jun Oh; Dominique Singer; Chinedu Ulrich Ebenebe; Robin Kobbe Journal: Children (Basel) Date: 2021-06-30