Robust biomarkers that predict disease outcomes amongst COVID-19 patients are necessary for both patient triage and resource prioritisation. Numerous candidate biomarkers have been proposed for COVID-19. However, at present, there is no consensus on the best diagnostic approach to predict outcomes in infected patients. Moreover, it is not clear whether such tools would apply to other potentially pandemic pathogens and therefore of use as stockpile for future pandemic preparedness. We conducted a multi-cohort observational study to investigate the biology and the prognostic role of interferon alpha-inducible protein 27 ( We show that These data suggest that prognostic biomarkers targeting the family of

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Copyright © 2023 Shojaei, Shamshirian, Monkman, Grice, Tran, Tan, Teo, Rodrigues Rossi, McCulloch, Nalos, Raei, Razavi, Ghasemian, Gheibi, Roozbeh, Sly, Spann, Chew, Zhu, Xia, Wells, Senegaglia, Kuniyoshi, Franck, dos Santos, Noronha, Motamen, Valadan, Amjadi, Gogna, Madan, Alizadeh-Navaei, Lamperti, Zuñiga, Nova-Lamperti, Labarca, Knippenberg, Herwanto, Wang, Phu, Chew, Kwan, Kim, Teoh, Pelaia, Kuan, Jee, Iredell, O’Byrne, Fraser, Davis, Belz, Warkiani, Gallo, Souza-Fonseca-Guimaraes, Nguyen, Mclean, Kulasinghe, Short and Tang.

Déclaration de conflit d'intérêts

FS-F-G is a consultant for Biotheus Inc. KS is a consultant for Sanofi, Roche and NovoNordisk. The opinions and data presented in this manuscript are of the authors and are independent of these relationships. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.