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

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

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 out...

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Main 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
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Immunology
Subjects:
biomarkers
IFI27
SARS-CoV-2
COVID-19
early predictor
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.1060438/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.1060438/full

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