Imperial College London
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ProfessorDannyAltmann

Faculty of Medicine, Department of Immunology and Inflammation

Professor of Immunology
 
 
 
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Contact

 

+44 (0)20 3313 8212d.altmann

 
 
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Location

 

5S5CHammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gupta:2021:10.1016/S2666-5247(21)00146-4,
author = {Gupta, RK and Rosenheim, J and Bell, LC and Chandran, A and Guerra-Assuncao, JA and Pollara, G and Whelan, M and Artico, J and Joy, G and Kurdi, H and Altmann, DM and Boyton, RJ and Maini, MK and McKnight, A and Lambourne, J and Cutino-Moguel, T and Manisty, C and Treibel, TA and Moon, JC and Chain, BM and Noursadeghi, M and COVIDsortium, Investigators},
doi = {10.1016/S2666-5247(21)00146-4},
journal = {The Lancet Microbe},
pages = {e508--e517},
title = {Blood transcriptional biomarkers of acute viral infection for detection of pre-symptomatic SARS-CoV-2 infection: a nested, case-control diagnostic accuracy study.},
url = {http://dx.doi.org/10.1016/S2666-5247(21)00146-4},
volume = {2},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background: We hypothesised that host-response biomarkers of viral infections might contribute to early identification of individuals infected with SARS-CoV-2, which is critical to breaking the chains of transmission. We aimed to evaluate the diagnostic accuracy of existing candidate whole-blood transcriptomic signatures for viral infection to predict positivity of nasopharyngeal SARS-CoV-2 PCR testing. Methods: We did a nested case-control diagnostic accuracy study among a prospective cohort of health-care workers (aged ≥18 years) at St Bartholomew's Hospital (London, UK) undergoing weekly blood and nasopharyngeal swab sampling for whole-blood RNA sequencing and SARS-CoV-2 PCR testing, when fit to attend work. We identified candidate blood transcriptomic signatures for viral infection through a systematic literature search. We searched MEDLINE for articles published between database inception and Oct 12, 2020, using comprehensive MeSH and keyword terms for "viral infection", "transcriptome", "biomarker", and "blood". We reconstructed signature scores in blood RNA sequencing data and evaluated their diagnostic accuracy for contemporaneous SARS-CoV-2 infection, compared with the gold standard of SARS-CoV-2 PCR testing, by quantifying the area under the receiver operating characteristic curve (AUROC), sensitivities, and specificities at a standardised Z score of at least 2 based on the distribution of signature scores in test-negative controls. We used pairwise DeLong tests compared with the most discriminating signature to identify the subset of best performing biomarkers. We evaluated associations between signature expression, viral load (using PCR cycle thresholds), and symptom status visually and using Spearman rank correlation. The primary outcome was the AUROC for discriminating between samples from participants who tested negative throughout the study (test-negative controls) and samples from participants with PCR-conf
AU  - Gupta,RK
AU  - Rosenheim,J
AU  - Bell,LC
AU  - Chandran,A
AU  - Guerra-Assuncao,JA
AU  - Pollara,G
AU  - Whelan,M
AU  - Artico,J
AU  - Joy,G
AU  - Kurdi,H
AU  - Altmann,DM
AU  - Boyton,RJ
AU  - Maini,MK
AU  - McKnight,A
AU  - Lambourne,J
AU  - Cutino-Moguel,T
AU  - Manisty,C
AU  - Treibel,TA
AU  - Moon,JC
AU  - Chain,BM
AU  - Noursadeghi,M
AU  - COVIDsortium,Investigators
DO  - 10.1016/S2666-5247(21)00146-4
EP  - 517
PY  - 2021///
SN  - 2666-5247
SP  - 508
TI  - Blood transcriptional biomarkers of acute viral infection for detection of pre-symptomatic SARS-CoV-2 infection: a nested, case-control diagnostic accuracy study.
T2  - The Lancet Microbe
UR  - http://dx.doi.org/10.1016/S2666-5247(21)00146-4
UR  - https://www.ncbi.nlm.nih.gov/pubmed/34250515
UR  - https://www.sciencedirect.com/science/article/pii/S2666524721001464?via%3Dihub
UR  - http://hdl.handle.net/10044/1/90340
VL  - 2
ER  -
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