Front Immunol
. 2023 Jan 5;13:1060438.
doi: 10.3389/fimmu.2022.1060438. eCollection 2022.
IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study
Maryam Shojaei 1 2 3 , Amir Shamshirian 4 , James Monkman 5 , Laura Grice 6 7 , Minh Tran 6 , Chin Wee Tan 8 9 , Siok Min Teo 6 , Gustavo Rodrigues Rossi 5 , Timothy R McCulloch 5 , Marek Nalos 1 , Maedeh Raei 4 , Alireza Razavi 10 , Roya Ghasemian 11 , Mobina Gheibi 12 , Fatemeh Roozbeh 13 , Peter D Sly 14 , Kirsten M Spann 15 , Keng Yih Chew 16 , Yanshan Zhu 16 , Yao Xia 17 , Timothy J Wells 5 , Alexandra Cristina Senegaglia 18 19 , Carmen Lúcia Kuniyoshi 18 19 , Claudio Luciano Franck 18 , Anna Flavia Ribeiro Dos Santos 20 , Lucia de Noronha 20 , Sepideh Motamen 21 , Reza Valadan 22 23 , Omolbanin Amjadi 4 , Rajan Gogna 24 25 , Esha Madan 26 , Reza Alizadeh-Navaei 4 , Liliana Lamperti 27 , Felipe Zuñiga 28 , Estefania Nova-Lamperti 28 , Gonzalo Labarca 27 29 , Ben Knippenberg 30 , Velma Herwanto 31 , Ya Wang 1 2 3 , Amy Phu 1 32 , Tracy Chew 33 , Timothy Kwan 1 , Karan Kim 2 , Sally Teoh 1 , Tiana M Pelaia 1 , Win Sen Kuan 34 35 , Yvette Jee 34 , Jon Iredell 36 37 38 , Ken O'Byrne 39 , John F Fraser 40 , Melissa J Davis 8 9 41 , Gabrielle T Belz 5 , Majid E Warkiani 42 , Carlos Salomon Gallo 27 43 , Fernando Souza-Fonseca-Guimaraes 5 , Quan Nguyen 6 , Anthony Mclean 1 , Arutha Kulasinghe 5 , Kirsty R Short 16 , Benjamin Tang 1 2
Affiliations
- PMID: 36685600
- PMCID: PMC9850159
- DOI: 10.3389/fimmu.2022.1060438
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 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.
Conclusion: These 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.
Keywords: COVID-19; IFI27; SARS-CoV-2; biomarkers; early predictor.