Optimization of SARS-CoV-2 culture from clinical samples for clinical trial applications

Autor: Dominic Wooding, Kate Buist, Alessandra Romero-Ramirez, Helen Savage, Rachel Watkins, Daisy Bengey, Caitlin Greenland-Bews, Caitlin R. Thompson, Nadia Kontogianni, Richard Body, Gail Hayward, Rachel L. Byrne, Susan Gould, Christopher Myerscough, Barry Atkinson, Victoria Shaw, Bill Greenhalf, Emily Adams, Ana Cubas-Atienzar, Saye Khoo, Tom Fletcher, Thomas Edwards
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: mSphere, Vol 9, Iss 11 (2024)
Druh dokumentu: article
ISSN: 2379-5042
DOI: 10.1128/msphere.00304-24
Popis: ABSTRACT Clinical trials of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) therapeutics often include virological secondary endpoints to compare viral clearance and viral load reduction between treatment and placebo arms. This is typically achieved using quantitative reverse-transcriptase PCR (RT-qPCR), which cannot differentiate replicant competent virus from non-viable virus or free RNA, limiting its utility as an endpoint. Culture-based methods for SARS-CoV-2 exist; however, these are often insensitive and poorly standardized for use as clinical trial endpoints. We report optimization of a culture-based approach evaluating three cell lines, three detection methods, and key culture parameters. We show that Vero-angiotensin-converting enzyme 2-transmembrane serine protease 2 cells in combination with RT-qPCR of culture supernatants from the first passage provides the greatest overall detection of Delta viral replication (22 of 32, 68.8%), being able to identify viable virus in 83.3% (20 of 24) of clinical samples with initial Ct values of
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