Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41598-021-04509-9
Title: A 6-mRNA host response classifier in whole blood predicts outcomes in COVID-19 and other acute viral infections
Authors: Buturovic, L
Zheng, H
Tang, B
Lai, K
Kuan, WS 
Gillett, M
Santram, R
Shojaei, M
Almansa, R
Nieto, JÁ
Muñoz, S
Herrero, C
Antonakos, N
Koufargyris, P
Kontogiorgi, M
Damoraki, G
Liesenfeld, O
Wacker, J
Midic, U
Luethy, R
Rawling, D
Remmel, M
Coyle, S
Liu, YE
Rao, AM
Dermadi, D
Toh, J
Jones, LM
Donato, M
Khatri, P
Giamarellos-Bourboulis, EJ
Sweeney, TE
Keywords: Acute Disease
COVID-19
Female
Gene Expression Regulation
Humans
Male
Middle Aged
Predictive Value of Tests
RNA, Messenger
Retrospective Studies
SARS-CoV-2
Issue Date: 1-Dec-2022
Publisher: Springer Science and Business Media LLC
Citation: Buturovic, L, Zheng, H, Tang, B, Lai, K, Kuan, WS, Gillett, M, Santram, R, Shojaei, M, Almansa, R, Nieto, JÁ, Muñoz, S, Herrero, C, Antonakos, N, Koufargyris, P, Kontogiorgi, M, Damoraki, G, Liesenfeld, O, Wacker, J, Midic, U, Luethy, R, Rawling, D, Remmel, M, Coyle, S, Liu, YE, Rao, AM, Dermadi, D, Toh, J, Jones, LM, Donato, M, Khatri, P, Giamarellos-Bourboulis, EJ, Sweeney, TE (2022-12-01). A 6-mRNA host response classifier in whole blood predicts outcomes in COVID-19 and other acute viral infections. Scientific Reports 12 (1) : 889-. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-021-04509-9
Abstract: Predicting the severity of COVID-19 remains an unmet medical need. Our objective was to develop a blood-based host-gene-expression classifier for the severity of viral infections and validate it in independent data, including COVID-19. We developed a logistic regression-based classifier for the severity of viral infections and validated it in multiple viral infection settings including COVID-19. We used training data (N = 705) from 21 retrospective transcriptomic clinical studies of influenza and other viral illnesses looking at a preselected panel of host immune response messenger RNAs. We selected 6 host RNAs and trained logistic regression classifier with a cross-validation area under curve of 0.90 for predicting 30-day mortality in viral illnesses. Next, in 1417 samples across 21 independent retrospective cohorts the locked 6-RNA classifier had an area under curve of 0.94 for discriminating patients with severe vs. non-severe infection. Next, in independent cohorts of prospectively (N = 97) and retrospectively (N = 100) enrolled patients with confirmed COVID-19, the classifier had an area under curve of 0.89 and 0.87, respectively, for identifying patients with severe respiratory failure or 30-day mortality. Finally, we developed a loop-mediated isothermal gene expression assay for the 6-messenger-RNA panel to facilitate implementation as a rapid assay. With further study, the classifier could assist in the risk assessment of COVID-19 and other acute viral infections patients to determine severity and level of care, thereby improving patient management and reducing healthcare burden.
Source Title: Scientific Reports
URI: https://scholarbank.nus.edu.sg/handle/10635/215836
ISSN: 2045-2322
DOI: 10.1038/s41598-021-04509-9
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
A 6-mRNA host response classifier in whole blood predicts outcomes in COVID-19 and other acute viral infections.pdfPublished version2.26 MBAdobe PDF

OPEN

PublishedView/Download

SCOPUSTM   
Citations

2
checked on Oct 1, 2022

Page view(s)

57
checked on Sep 29, 2022

Download(s)

3
checked on Sep 29, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.