Journal article
IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study
M Shojaei, A Shamshirian, J Monkman, L Grice, M Tran, CW Tan, SM Teo, G Rodrigues Rossi, TR McCulloch, M Nalos, M Raei, A Razavi, R Ghasemian, M Gheibi, F Roozbeh, PD Sly, KM Spann, KY Chew, Y Zhu, Y Xia Show all
Frontiers in Immunology | Published : 2023
Abstract
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 IFI2..
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Awarded by Australia and New Zealand Sarcoma Association
Funding Acknowledgements
Research Grant, and a US Department of Defence - Breast Cancer Research Program - breakthrough award level 1 (#BC200025). CS is supported by the Lion Medical Research Foundation (2015001964). EN-L is supported by Agencia Nacional de Investigacion y Desarrollo (COVID1005-ANID). The funders did not influence any of the data analysis and interpretation presented in this manuscript. This research was funded by Centre of Research Excellence in Emerging Infectious Diseases (CREID; MS, BT), grants and fellowships from the National Health and Medical Research Council of Australia (2007919 KRS; 1157741 AK; 1135898 GB, 1140406 FSFG 1195451 CS), Priority driven Collaborative Cancer Research Scheme, funded by Cure Cancer Australia with the assistance of Cancer Australia and the Can Too Foundation (1182179 AK; 1158085 FS-F-G), University of Queensland (GB, FS-F-G, AK), Walter and Eliza Hall Institute of Medical Research (CT, MD). MD is supported by the Betty Smyth Centenary Fellowship in Bioinformatics. TM is supported by an UQ PhD scholarship. FS-F-G is funded by the Australian and New Zealand Sarcoma Association Sarcoma