Literature DB >> 32445709

RT-PCR for SARS-CoV-2: quantitative versus qualitative.

Mi Seon Han1, Jung-Hyun Byun2, Yonggeun Cho3, John Hoon Rim4.   

Abstract

Entities:  

Year:  2020        PMID: 32445709      PMCID: PMC7239624          DOI: 10.1016/S1473-3099(20)30424-2

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


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We read the Article by Lescure and colleagues with great interest. During the ongoing coronavirus disease 2019 (COVID-19) pandemic, monitoring patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using viral kinetics or viral loads in various sample types by real-time RT-PCR has become essential. However, understanding whether the RT-PCR test results are interpreted as quantitative, qualitative, or semi-quantitative is important. Since the cycle threshold (Ct) values from RT-PCR can be affected by batch effect, variations among different runs need to be closely monitored by laboratories—especially for quality control in quantitative RT-PCR. Unfortunately, several papers on COVID-19 use the naive Ct values from qualitative RT-PCR as a quantitation unit or use the ΔCt values with incorrect quantitation unit.2, 3 Quantitative RT-PCR is entirely different from qualitative RT-PCR. Ct value itself cannot be directly interpreted as viral load without a standard curve using reference materials. Thorough evaluation of the reliability and robustness of the standard curve is the key to accurately quantify the expected viral copy number. There is wide heterogeneity and inconsistency of the standard curves calculated from studies that provided Ct values from serial dilution samples and the estimated viral loads (figure ).2, 4, 5 An appropriate standard curve with adequate limit of detection is required for viral load quantification to correctly track the viral titre kinetics. A two-step approach using qualitative RT-PCR (for detection) and quantitative RT-PCR (for viral load quantification) is highly recommended for studies focusing on viral loads, as clearly presented by Lescure and colleagues. Furthermore, using appropriate quantification units according to different sample types—ie, copies per 1000 cells (for respiratory samples), copies per mL (for plasma), and copies per g (for stool)—should be followed by clinicians, as outstandingly shown by Lescure and colleagues.
Figure

Standard curves drawn from papers providing serial dilution factors and corresponding Ct in patient samples

All Ct values were derived from clinical samples targeting RdRp/Orf1b sequence of SARS-CoV-2. Ct=cycle threshold. RdRp=RNA-dependent RNA polymerase. SARS-CoV-2=severe acute respiratory syndrome coronavirus 2. *Ct values provided in the figure 1 legend were used. †Ct values of Orf1b in patient 2 provided in table 1 were used. ‡Ct values of RdRp in test 2 of clinical specimen were used.

Standard curves drawn from papers providing serial dilution factors and corresponding Ct in patient samples All Ct values were derived from clinical samples targeting RdRp/Orf1b sequence of SARS-CoV-2. Ct=cycle threshold. RdRp=RNA-dependent RNA polymerase. SARS-CoV-2=severe acute respiratory syndrome coronavirus 2. *Ct values provided in the figure 1 legend were used. †Ct values of Orf1b in patient 2 provided in table 1 were used. ‡Ct values of RdRp in test 2 of clinical specimen were used. When interpreting the results of SARS-CoV-2 RT-PCR, the validity of the standard curve using reference materials or in-house plasmid controls with known viral copy numbers should be confirmed first to interpret Ct values as viral loads. In conclusion, precautions are needed when interpreting the Ct values of SARS-CoV-2 RT-PCR results shown in COVID-19 publications to avoid misunderstanding of viral load kinetics for comparison across different studies.
  41 in total

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2.  WITHDRAWN: Can quantitative RT-PCR for SARS-coV-2 help in better management of patients and control of coronavirus disease 2019 pandemic.

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Journal:  Sci Total Environ       Date:  2021-05-25       Impact factor: 7.963

Review 4.  The Current Status and Challenges in the Development of Vaccines and Drugs against Severe Acute Respiratory Syndrome-Corona Virus-2 (SARS-CoV-2).

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Journal:  Biomed Res Int       Date:  2021-06-01       Impact factor: 3.411

5.  SARS-CoV-2 RNA quantification using droplet digital RT-PCR.

Authors:  Natalie N Kinloch; Gordon Ritchie; Winnie Dong; Kyle D Cobarrubias; Hanwei Sudderuddin; Tanya Lawson; Nancy Matic; Julio S G Montaner; Victor Leung; Marc G Romney; Christopher F Lowe; Chanson J Brumme; Zabrina L Brumme
Journal:  J Mol Diagn       Date:  2021-05-29       Impact factor: 5.568

6.  A photo-electrochemical aptasensor for the determination of severe acute respiratory syndrome coronavirus 2 receptor-binding domain by using graphitic carbon nitride-cadmium sulfide quantum dots nanocomposite.

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Journal:  Sens Actuators B Chem       Date:  2021-06-29       Impact factor: 7.460

7.  SARS-CoV-2 genome sequencing from post-mortem formalin-fixed, paraffin-embedded lung tissues.

Authors:  Claude Van Campenhout; Ricardo De Mendonça; Barbara Alexiou; Sarah De Clercq; Marie-Lucie Racu; Claire Royer-Chardon; Stefan Rusu; Marie Van Eycken; Maria Artesi; Keith Durkin; Patrick Mardulyn; Vincent Bours; Christine Decaestecker; Myriam Remmelink; Isabelle Salmon; Nicky D'Haene
Journal:  J Mol Diagn       Date:  2021-06-18       Impact factor: 5.568

8.  Comparison of SARS-CoV-2 Detection by Rapid Antigen and by Three Commercial RT-qPCR Tests: A Study from Martin University Hospital in Slovakia.

Authors:  Zuzana Dankova; Elena Novakova; Maria Skerenova; Veronika Holubekova; Vincent Lucansky; Dana Dvorska; Dusan Brany; Zuzana Kolkova; Jan Strnadel; Sandra Mersakova; Katarina Janikova; Marek Samec; Michal Pokusa; Martin Petras; Miroslava Sarlinova; Ivana Kasubova; Dusan Loderer; Vladimira Sadlonova; Jana Kompanikova; Nina Kotlebova; Adriana Kompanikova; Martina Hrnciarova; Andrea Stanclova; Martina Antosova; Anton Dzian; Vladimir Nosal; Ivan Kocan; Dalibor Murgas; Dusan Krkoska; Andrea Calkovska; Erika Halasova
Journal:  Int J Environ Res Public Health       Date:  2021-07-01       Impact factor: 3.390

9.  Antiviral effect of high-dose ivermectin in adults with COVID-19: A proof-of-concept randomized trial.

Authors:  Alejandro Krolewiecki; Adrián Lifschitz; Matías Moragas; Marina Travacio; Ricardo Valentini; Daniel F Alonso; Rubén Solari; Marcelo A Tinelli; Rubén O Cimino; Luis Álvarez; Pedro E Fleitas; Laura Ceballos; Marcelo Golemba; Florencia Fernández; Diego Fernández de Oliveira; German Astudillo; Inés Baeck; Javier Farina; Georgina A Cardama; Andrea Mangano; Eduardo Spitzer; Silvia Gold; Carlos Lanusse
Journal:  EClinicalMedicine       Date:  2021-06-18

10.  Clinical and laboratory characteristics of symptomatic healthcare workers with suspected COVID-19: a prospective cohort study.

Authors:  Antonin Bal; Karen Brengel-Pesce; Alexandre Gaymard; Grégory Quéromès; Nicolas Guibert; Emile Frobert; Maude Bouscambert; Mary-Anne Trabaud; Florence Allantaz-Frager; Guy Oriol; Valérie Cheynet; Constance d'Aubarede; Amélie Massardier-Pilonchery; Marlyse Buisson; Julien Lupo; Bruno Pozzetto; Pascal Poignard; Bruno Lina; Jean-Baptiste Fassier; Florence Morfin; Sophie Trouillet-Assant
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

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