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Ifi27 Transcription Is An Early Predictor For Covid-19 Outcomes, A Multi-Cohort Observational Study, Maryam Shojaei, Amir Shamshirian, James Monkman, Laura Grice, Minh Tran, Chin Wee Tan, Siok Min Teo, Gustavo Rodrigues Rossi, Timothy R. Mcculloch, Marek Nalos, Maedeh Raei, Alireza Razavi, Roya Ghasemian, Mobina Gheibi, Fatemeh Roozbeh, Peter D. Sly, Kirsten M. Spann, Keng Yih Chew, Yanshan Zhu, Yao Xia, Timothy J. Wells, Alexandra Cristina Senegaglia, Carmen Lúcia Kuniyoshi, Claudio Luciano Franck, Anna Flavia Ribeiro Dos Santos, Lucia De Noronha, Sepideh Motamen, Reza Valadan, Omolbanin Amjadi, Rajan Gogna, Esha Madan, Reza Alizadeh-Navaei, Liliana Lamperti, Felipe Zuñiga, Estefania Nova-Lamperti, Gonzalo Labarca, Ben Knippenberg, Velma Herwanto, Ya Wang, Amy Phu, Tracy Chew, Timothy Kwan, Karan Kim, Sally Teoh, Tiana M. Pelaia, Win Sen Kuan, Yvette Jee, Jon Iredell, Ken O’Byrne, John F. Fraser, Melissa J. Davis, Gabrielle T. Belz, Majid E. Warkiani, Carlos Salomon Gallo, Fernando Souza-Fonseca-Guimaraes, Quan Nguyen, Anthony Mclean, Arutha Kulasinghe, Kirsty R. Short, Benjamin Tang

Research outputs 2022 to 2026

Purpose:

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.

Methods:

We conducted a multi-cohort observational study to investigate the biology and the prognostic role of interferon alpha-inducible protein 27 (IFI27) in COVID-19 patients.

Results:

We show that IFI27 is …