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Novel PCR Test to Differentiate Between Infections with SARS-CoV-2, Influenza A and B
PURPOSE: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, a worldwide spreading disease with acute respiratory distress syndrome as one of the major complications. In the early disease stage, COVID-19 cannot be distinguished from influenza based on the cli...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884808/ http://dx.doi.org/10.1016/j.ijid.2021.12.104 |
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author | Filippis, C. Binder, F. Lickfeld, M. Schröder, A.K. Klemens, J.M. Saschenbrecker, S. Steller, U. |
author_facet | Filippis, C. Binder, F. Lickfeld, M. Schröder, A.K. Klemens, J.M. Saschenbrecker, S. Steller, U. |
author_sort | Filippis, C. |
collection | PubMed |
description | PURPOSE: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, a worldwide spreading disease with acute respiratory distress syndrome as one of the major complications. In the early disease stage, COVID-19 cannot be distinguished from influenza based on the clinical symptoms. During viraemia, direct pathogen detection by reverse transcription polymerase chain reaction (RT-PCR) is the diagnostic gold standard. This study evaluated a novel real-time RT-PCR test for fast detection and differentiation of RNA from SARS-CoV-2 and influenza virus types A and B. METHODS & MATERIALS: The assays´ diagnostic performance was compared to CE-IVD/FDA-EUA-marked reference PCR tests. RNA was extracted from patient samples collected as nasopharyngeal or oropharyngeal swabs. Virus-specific RNA was amplified after reverse transcription using the EURORealTime SARS-CoV-2/Influenza A/B PCR test (EUROIMMUN) allowing simultaneous detection of two target sequences in the SARS-CoV-2 ORF1ab and N genes as well as one target sequence each for influenza virus A and B. Assays were carried out on the CFX96 cycler (Bio-Rad) and evaluated with the EURORealTime Analysis Software (EUROIMMUN). The 95% limit of detection (LoD) was determined by Probit analysis using a dilution series of quantified target RNA. To exclude cross-reactivity and interference, the assay was run against human genomic DNA/RNA, nucleic acids from different viral, bacterial and fungal pathogens, and potentially interfering substances. RESULTS: Compared to the reference PCR tests, the EURORealTime SARS-CoV-2/Influenza A/B showed positive agreements of 97.8%, 93.0% and 100% and negative agreements of 100%, 100% and 98.9% for SARS-CoV-2, influenza A and influenza B, respectively. The 95% LoD values were calculated to be 0.55cp/µl for SARS-CoV-2, 0.92cp/µl for influenza A H3N2, 0.67cp/µl for influenza A H1N1 and 1.21cp/µl for influenza B. No cross-reactivities with human or pathogen-specific nucleic acids or interferences were detected. CONCLUSION: The novel test is able to detect SARS-CoV-2, influenza A and influenza B with high sensitivity and clearly discriminate between these viruses. It is therefore optimally suited for differential diagnostics for patients presenting with symptoms compatible with COVID-19 and influenza. Combined detection of the three pathogens in one multiparameter assay helps to save time and resources in the diagnostic workup. |
format | Online Article Text |
id | pubmed-8884808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88848082022-03-01 Novel PCR Test to Differentiate Between Infections with SARS-CoV-2, Influenza A and B Filippis, C. Binder, F. Lickfeld, M. Schröder, A.K. Klemens, J.M. Saschenbrecker, S. Steller, U. Int J Infect Dis Ps05.12 (89) PURPOSE: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, a worldwide spreading disease with acute respiratory distress syndrome as one of the major complications. In the early disease stage, COVID-19 cannot be distinguished from influenza based on the clinical symptoms. During viraemia, direct pathogen detection by reverse transcription polymerase chain reaction (RT-PCR) is the diagnostic gold standard. This study evaluated a novel real-time RT-PCR test for fast detection and differentiation of RNA from SARS-CoV-2 and influenza virus types A and B. METHODS & MATERIALS: The assays´ diagnostic performance was compared to CE-IVD/FDA-EUA-marked reference PCR tests. RNA was extracted from patient samples collected as nasopharyngeal or oropharyngeal swabs. Virus-specific RNA was amplified after reverse transcription using the EURORealTime SARS-CoV-2/Influenza A/B PCR test (EUROIMMUN) allowing simultaneous detection of two target sequences in the SARS-CoV-2 ORF1ab and N genes as well as one target sequence each for influenza virus A and B. Assays were carried out on the CFX96 cycler (Bio-Rad) and evaluated with the EURORealTime Analysis Software (EUROIMMUN). The 95% limit of detection (LoD) was determined by Probit analysis using a dilution series of quantified target RNA. To exclude cross-reactivity and interference, the assay was run against human genomic DNA/RNA, nucleic acids from different viral, bacterial and fungal pathogens, and potentially interfering substances. RESULTS: Compared to the reference PCR tests, the EURORealTime SARS-CoV-2/Influenza A/B showed positive agreements of 97.8%, 93.0% and 100% and negative agreements of 100%, 100% and 98.9% for SARS-CoV-2, influenza A and influenza B, respectively. The 95% LoD values were calculated to be 0.55cp/µl for SARS-CoV-2, 0.92cp/µl for influenza A H3N2, 0.67cp/µl for influenza A H1N1 and 1.21cp/µl for influenza B. No cross-reactivities with human or pathogen-specific nucleic acids or interferences were detected. CONCLUSION: The novel test is able to detect SARS-CoV-2, influenza A and influenza B with high sensitivity and clearly discriminate between these viruses. It is therefore optimally suited for differential diagnostics for patients presenting with symptoms compatible with COVID-19 and influenza. Combined detection of the three pathogens in one multiparameter assay helps to save time and resources in the diagnostic workup. Published by Elsevier Ltd. 2022-03 2022-02-28 /pmc/articles/PMC8884808/ http://dx.doi.org/10.1016/j.ijid.2021.12.104 Text en Copyright © 2021 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Ps05.12 (89) Filippis, C. Binder, F. Lickfeld, M. Schröder, A.K. Klemens, J.M. Saschenbrecker, S. Steller, U. Novel PCR Test to Differentiate Between Infections with SARS-CoV-2, Influenza A and B |
title | Novel PCR Test to Differentiate Between Infections with SARS-CoV-2, Influenza A and B |
title_full | Novel PCR Test to Differentiate Between Infections with SARS-CoV-2, Influenza A and B |
title_fullStr | Novel PCR Test to Differentiate Between Infections with SARS-CoV-2, Influenza A and B |
title_full_unstemmed | Novel PCR Test to Differentiate Between Infections with SARS-CoV-2, Influenza A and B |
title_short | Novel PCR Test to Differentiate Between Infections with SARS-CoV-2, Influenza A and B |
title_sort | novel pcr test to differentiate between infections with sars-cov-2, influenza a and b |
topic | Ps05.12 (89) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884808/ http://dx.doi.org/10.1016/j.ijid.2021.12.104 |
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