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Screening for SARS-CoV-2 infections with colorimetric RT-LAMP and LAMP sequencing
Viet Loan Dao Thi; Konrad Herbst; Kathleen Boerner; Matthias Meurer; Lukas P M Kremer; Daniel Kirrmaier; Andrew Freistaedter; Dimitrios Papagiannidis; Carla Galmozzi; Steffen Klein; Petr Chandla; Dina Khalid; Isabel Barreto Miranda; Paul Schnitzler; Hans-Georg Kraeusslich; Michael Knop; Simon Anders.
Afiliación
  • Viet Loan Dao Thi; Center of Infectious Diseases, Department of Virology, Heidelberg University Hospital
  • Konrad Herbst; Center for Molecular Biology (ZMBH), University of Heidelberg
  • Kathleen Boerner; Center of Infectious Diseases, Department of Virology, Heidelberg University Hospital
  • Matthias Meurer; Center for Molecular Biology (ZMBH), University of Heidelberg
  • Lukas P M Kremer; German Cancer Research Center (DKFZ)
  • Daniel Kirrmaier; Center for Molecular Biology (ZMBH), University of Heidelberg
  • Andrew Freistaedter; Center of Infectious Diseases, Department of Virology, Heidelberg University Hospital
  • Dimitrios Papagiannidis; Center for Molecular Biology (ZMBH), University of Heidelberg
  • Carla Galmozzi; Center for Molecular Biology (ZMBH), University of Heidelberg
  • Steffen Klein; Center of Infectious Diseases, Department of Virology, Heidelberg University Hospital
  • Petr Chandla; Center of Infectious Diseases, Department of Virology, Heidelberg University Hospital
  • Dina Khalid; Center of Infectious Diseases, Department of Virology, Heidelberg University Hospital
  • Isabel Barreto Miranda; Center of Infectious Diseases, Department of Virology, Heidelberg University Hospital
  • Paul Schnitzler; Center of Infectious Diseases, Department of Virology, Heidelberg University Hospital
  • Hans-Georg Kraeusslich; Center of Infectious Diseases, Department of Virology, Heidelberg University Hospital
  • Michael Knop; Center for Molecular Biology (ZMBH), University of Heidelberg
  • Simon Anders; Center for Molecular Biology (ZMBH), University of Heidelberg
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20092288
ABSTRACT
The COVID-19 pandemic caused by the novel SARS-CoV-2 virus poses a significant public-health problem. In order to control the pandemic, rapid tests for detecting existing infections and assessing virus spread are critical. Approaches to detect viral RNA based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) hold outstanding promise towards greatly simplified and broadly applicable testing methods. RT-LAMP assays appear more robust than qPCR-based methods and only require incubation at a constant temperature, thus eliminating the need for sophisticated instrumentation. Here, we tested a two-color RT-LAMP protocol using clinical SARS-CoV-2 samples and also established a protocol that does not require prior RNA isolation ("swab-to-RT-LAMP"). Our study is based on several hundred clinical patient samples with a wide range of viral loads, thus allowing, for the first time, to accurately determine the sensitivity and specificity of the RT-LAMP assay for the detection of SARS-CoV-2 in patients. We found that RT-LAMP can reliably detect SARS-CoV-2 samples with a qPCR threshold cycle number (CT value) of up to 30 in the standard RT-qPCR assay. We used both, either purified RNA or direct pharyngeal swab specimens and showed that RT-LAMP assays have, despite a decreased sensitivity compared to RT-qPCR, excellent specificity. We also developed a multiplexed LAMP-sequencing protocol as a diagnostic and validation procedure to detect and record the outcome of RT-LAMP assays. LAMP-sequencing is fully scalable and can assess the results of thousands of LAMP reactions in parallel. Finally, we propose applications of RT-LAMP based assays for SARS-CoV-2 detection.
Licencia
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint