CCQM-P199b: Interlaboratory comparability study of SARS-CoV-2 RNA copy number quantification

Alison S. Devonshire,Eloise J. Busby,Gerwyn M. Jones, Denise M. O’Sullivan,Ana Fernandez-Gonzalez, Laura Hernandez-Hernandez,Xinhua Dai,Lianhua Dong,Chunyan Niu,Jie Xie,Xia Wang,Xiaoting Qiao,Xiang Fang,Clare Morris,Neil Almond,Megan H. Cleveland,Peter M. Vallone, Esther Castro Galván, Melina Pérez Urquiza, Mercedes Guadalupe Herrera López,Arifa S. Khan,Sandra M. Fuentes, John Emerson Leguizamon Guerrero, Sergio Luis Davila Gonzalez, Andres Felipe León Torres, Aurea V Folgueras-Flatschart, Marcelo Neves de Medeiros, Antonio Marcos Saraiva, Roberto Becht Flatschart,Carla Divieto, Mattia Pegoraro, Massimo Zucco, Laura Revel, Marco Mazzara, Philippe Corbisier, Gerhard Buttinger,Inchul Yang,Young-Kyung Bae, Alexandra Bogožalec Košir, Mojca Milavec, Malcolm Hawkins, A. Pia Sanzone, Phattarapornn Morris,Sasithon Temisak, David Lynch,Jacob McLaughlin, Michael Forbes-Smith, Felicity Hall,Daniel Burke,Sachie Shibayama,Shin-ichiro Fujii, Megumi Kato, Samreen Falak,Rainer Macdonald,Andreas Kummrow, Andrey Komissarov, Kseniya Komissarova,Sema Akyurek,Muslum Akgoz, Sumeyra Nur Sanal Demirci, Maxim Vonsky, Andrey Runov, Elena Kulyabina,Denis Rebrikov,Jim F. Huggett

biorxiv(2024)

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Abstract
Nucleic acid amplification tests including reverse transcription quantitative PCR (RT-qPCR) are used to detect RNA from Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of the Coronavirus disease 2019 (COVID-19) pandemic. Standardized measurements of RNA can facilitate comparable performance of laboratory tests in the absence of existing reference measurement systems early on in a pandemic. Interlaboratory study CCQM P199b “SARS-CoV-2 RNA copy number quantification” was designed to test the fitness-for-purpose of developed candidate reference measurement procedures (RMPs) for SARS-CoV-2 genomic targets in purified RNA materials, and was conducted under the auspices of the Consultative Committee for Amount of Substance: Metrology in Chemistry and Biology (CCQM) to evaluate the measurement comparability of national metrology institutes (NMIs) and designated institutes (DIs), thereby supporting international standardization. Twenty-one laboratories participated in CCQM P199b and were requested to report the RNA copy number concentration, expressed in number of copies per microliter, of the SARS-CoV-2 nucleocapsid ( N ) gene partial region (NC\_045512.2: 28274-29239) and envelope ( E ) gene (NC\_045512.2: 26245-26472) (optional measurements) in samples consisting of in vitro transcribed RNA or purified RNA from lentiviral constructs. Materials were provided in two categories: lower concentration (≈ (101-104) /μL in aqueous solution containing human RNA background) and high concentration (≈ 109 /μL in aqueous solution without any other RNA background). For the measurement of N gene concentration in the lower concentration study materials, the majority of laboratories ( n = 17) used one-step reverse transcription-digital PCR (RT-dPCR), with three laboratories applying two-step RT-dPCR and one laboratory RT-qPCR. Sixteen laboratories submitted results for E gene concentration. Reproducibility (% CV or equivalent) for RT-dPCR ranged from 19 % to 31 %. Measurements of the high concentration study material by orthogonal methods (isotope dilution-mass spectrometry and single molecule flow cytometry) and a gravimetrically linked lower concentration material were in a good agreement, suggesting a lack of overall bias in RT-dPCR measurements. However methodological factors such as primer and probe (assay) sequences, RT-dPCR reagents and dPCR partition volume were found to be potential sources of interlaboratory variation which need to be controlled when applying this technique. This study demonstrates that the accuracy of RT-dPCR is fit-for-purpose as a RMP for viral RNA target quantification in purified RNA materials and highlights where metrological approaches such as the use of in vitro transcribed controls, orthogonal methods and measurement uncertainty evaluation can support standardization of molecular methods. ### Competing Interest Statement The authors have declared no competing interest.
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