SARS-CoV-2 human challenge reveals biomarkers that discriminate early and late phases of respiratory viral infections.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Rosenheim Joshua, Gupta Rishi K, Thakker Clare, Mann Tiffeney, Bell Lucy C K, Broderick Claire M, Madon Kieran, Papargyris Loukas, Dayananda Pete, Kwok Andrew J, Greenan-Barrett James, Wagstaffe Helen R, Conibear Emily, Fenn Joe, Hakki Seran, Lindeboom Rik G H, Dratva Lisa M, Lemetais Briac, Weight Caroline M, Venturini Cristina, Kaforou Myrsini, Levin Michael, Kalinova Mariya, Mann Alex J, Catchpole Andrew, Knight Julian C, Nikolić Marko Z, Teichmann Sarah A, Killingley Ben, Barclay Wendy, Chain Benjamin M, Lalvani Ajit, Heyderman Robert S, Chiu Christopher, Noursadeghi Mahdad
Аннотация
Blood transcriptional biomarkers of acute viral infections typically reflect type 1 interferon (IFN) signalling, but it is not known whether there are biological differences in their regulation that can be leveraged for distinct translational applications. We use high frequency sampling in the SARS-CoV-2 human challenge model to show induction of IFN-stimulated gene (ISG) expression with different temporal and cellular profiles. MX1 gene expression correlates with a rapid and transient wave of ISG expression across all cell types, which may precede PCR detection of replicative infection. Another ISG, IFI27, shows a delayed but sustained response restricted to myeloid cells, attributable to gene and cell-specific epigenetic regulation. These findings are reproducible in experimental and naturally acquired infections with influenza, respiratory syncytial virus and rhinovirus. Blood MX1 expression is superior to IFI27 expression for diagnosis of early infection, as a correlate of viral load and for discrimination of virus culture positivity. Therefore, MX1 expression offers potential to stratify patients for antiviral therapy or infection control interventions. Blood IFI27 expression is superior to MX1 expression for diagnostic accuracy across the time course of symptomatic infection and thereby, offers higher diagnostic yield for respiratory virus infections that incur a delay between transmission and testing.