Back to Search Start Over

IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study

Authors :
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
Source :
Shojaei, M, Shamshirian, A, Monkman, J, Grice, L, Tran, M, Tan, C W, Teo, S M, Rodrigues Rossi, G, McCulloch, T R, Nalos, M, Raei, M, Razavi, A, Ghasemian, R, Gheibi, M, Roozbeh, F, Sly, P D, Spann, K M, Chew, K Y, Zhu, Y, Xia, Y, Wells, T J, Senegaglia, A C, Kuniyoshi, C L, Franck, C L, dos Santos, A F R, Noronha, L D, Motamen, S, Valadan, R, Amjadi, O, Gogna, R, Madan, E, Alizadeh-Navaei, R, Lamperti, L, Zuñiga, F, Nova-Lamperti, E, Labarca, G, Knippenberg, B, Herwanto, V, Wang, Y, Phu, A, Chew, T, Kwan, T, Kim, K, Teoh, S, Pelaia, T M, Kuan, W S, Jee, Y, Iredell, J, O’Byrne, K, Fraser, J F, Davis, M J, Belz, G T, Warkiani, M E, Gallo, C S, Souza-Fonseca-Guimaraes, F, Nguyen, Q, Mclean, A, Kulasinghe, A, Short, K R & Tang, B 2023, ' IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study ', Frontiers in Immunology, vol. 13, 1060438 . https://doi.org/10.3389/fimmu.2022.1060438
Publication Year :
2023
Publisher :
Frontiers Media SA, 2023.

Abstract

PurposeRobust 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.MethodsWe 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.ResultsWe show that IFI27 is expressed in the respiratory tract of COVID-19 patients and elevated IFI27 expression in the lower respiratory tract is associated with the presence of a high viral load. We further demonstrate that the systemic host response, as measured by blood IFI27 expression, is associated with COVID-19 infection. For clinical outcome prediction (e.g., respiratory failure), IFI27 expression displays a high sensitivity (0.95) and specificity (0.83), outperforming other known predictors of COVID-19 outcomes. Furthermore, IFI27 is upregulated in the blood of infected patients in response to other respiratory viruses. For example, in the pandemic H1N1/09 influenza virus infection, IFI27-like genes were highly upregulated in the blood samples of severely infected patients.ConclusionThese data suggest that prognostic biomarkers targeting the family of IFI27 genes could potentially supplement conventional diagnostic tools in future virus pandemics, independent of whether such pandemics are caused by a coronavirus, an influenza virus or another as yet-to-be discovered respiratory virus.

Details

Language :
English
ISSN :
16643224
Volume :
13
Database :
OpenAIRE
Journal :
Frontiers in Immunology
Accession number :
edsair.doi.dedup.....3c27924edeb4c85dfa6e3954ecdc9566
Full Text :
https://doi.org/10.3389/fimmu.2022.1060438