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

• Main Authors: Shojaei, M, Shamshirian, A, Monkman, J, Grice, L, Tran, M, Tan, CW, Teo, SM, Rodrigues Rossi, G, McCulloch, TR, Nalos, M, Raei, M, Razavi, A, Ghasemian, R, Gheibi, M, Roozbeh, F, Sly, PD, Spann, KM, Chew, KY, Zhu, Y, Xia, Y, Wells, TJ, Senegaglia, AC, Kuniyoshi, CL, Franck, CL, dos Santos, AFR, Noronha, LD, 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, TM, Kuan, WS, Jee, Y, Iredell, J, O’Byrne, K, Fraser, JF, Davis, MJ, Belz, GT, Warkiani, ME, Gallo, CS, Souza-Fonseca-Guimaraes, F, Nguyen, Q, Mclean, A, Kulasinghe, A, Short, KR, Tang, B
• Other Authors: SURGERY
• Format: Article
• Published: Frontiers Media SA 2023
• Subjects: COVID-19; IFI27; SARS-CoV-2; biomarkers; early predictor
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/237414
• Institution: National University of Singapore

10.3389/fimmu.2022.1060438