Discovery and validation of a three-gene signature to distinguish COVID-19 and other viral infections in emergency infectious disease presentations: a case-control and observational cohort study.


Journal

The Lancet. Microbe
ISSN: 2666-5247
Titre abrégé: Lancet Microbe
Pays: England
ID NLM: 101769019

Informations de publication

Date de publication:
11 2021
Historique:
pubmed: 24 8 2021
medline: 24 8 2021
entrez: 23 8 2021
Statut: ppublish

Résumé

Emergency admissions for infection often lack initial diagnostic certainty. COVID-19 has highlighted a need for novel diagnostic approaches to indicate likelihood of viral infection in a pandemic setting. We aimed to derive and validate a blood transcriptional signature to detect viral infections, including COVID-19, among adults with suspected infection who presented to the emergency department. Individuals (aged ≥18 years) presenting with suspected infection to an emergency department at a major teaching hospital in the UK were prospectively recruited as part of the Bioresource in Adult Infectious Diseases (BioAID) discovery cohort. Whole-blood RNA sequencing was done on samples from participants with subsequently confirmed viral, bacterial, or no infection diagnoses. Differentially expressed host genes that met additional filtering criteria were subjected to feature selection to derive the most parsimonious discriminating signature. We validated the signature via RT-qPCR in a prospective validation cohort of participants who presented to an emergency department with undifferentiated fever, and a second case-control validation cohort of emergency department participants with PCR-positive COVID-19 or bacterial infection. We assessed signature performance by calculating the area under receiver operating characteristic curves (AUROCs), sensitivities, and specificities. A three-gene transcript signature, comprising This novel three-gene signature discriminates viral infections, including COVID-19, from other emergency infection presentations in adults, outperforming both leukocyte count and CRP, thus potentially providing substantial clinical utility in managing acute presentations with infection. National Institute for Health Research, Medical Research Council, Wellcome Trust, and EU-FP7.

Sections du résumé

BACKGROUND
Emergency admissions for infection often lack initial diagnostic certainty. COVID-19 has highlighted a need for novel diagnostic approaches to indicate likelihood of viral infection in a pandemic setting. We aimed to derive and validate a blood transcriptional signature to detect viral infections, including COVID-19, among adults with suspected infection who presented to the emergency department.
METHODS
Individuals (aged ≥18 years) presenting with suspected infection to an emergency department at a major teaching hospital in the UK were prospectively recruited as part of the Bioresource in Adult Infectious Diseases (BioAID) discovery cohort. Whole-blood RNA sequencing was done on samples from participants with subsequently confirmed viral, bacterial, or no infection diagnoses. Differentially expressed host genes that met additional filtering criteria were subjected to feature selection to derive the most parsimonious discriminating signature. We validated the signature via RT-qPCR in a prospective validation cohort of participants who presented to an emergency department with undifferentiated fever, and a second case-control validation cohort of emergency department participants with PCR-positive COVID-19 or bacterial infection. We assessed signature performance by calculating the area under receiver operating characteristic curves (AUROCs), sensitivities, and specificities.
FINDINGS
A three-gene transcript signature, comprising
INTERPRETATION
This novel three-gene signature discriminates viral infections, including COVID-19, from other emergency infection presentations in adults, outperforming both leukocyte count and CRP, thus potentially providing substantial clinical utility in managing acute presentations with infection.
FUNDING
National Institute for Health Research, Medical Research Council, Wellcome Trust, and EU-FP7.

Identifiants

pubmed: 34423323
doi: 10.1016/S2666-5247(21)00145-2
pii: S2666-5247(21)00145-2
pmc: PMC8367196
doi:

Substances chimiques

C-Reactive Protein 9007-41-4

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Pagination

e594-e603

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203141/Z/16/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R502376/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206508/Z/17/Z
Pays : United Kingdom

Informations de copyright

© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.

Déclaration de conflit d'intérêts

We declare no competing interests.

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Auteurs

Ho Kwong Li (HK)

Department of Infectious Disease, Imperial College London, London, UK.
Medical Research Council Centre for Molecular Bacteriology & Infection, Imperial College London, London, UK.

Myrsini Kaforou (M)

Department of Infectious Disease, Imperial College London, London, UK.

Jesus Rodriguez-Manzano (J)

Department of Infectious Disease, Imperial College London, London, UK.
National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infection & Antimicrobial Resistance, Imperial College London, London, UK.

Samuel Channon-Wells (S)

Department of Infectious Disease, Imperial College London, London, UK.

Ahmad Moniri (A)

Department of Electrical & Electronic Engineering, Imperial College London, London, UK.

Dominic Habgood-Coote (D)

Department of Infectious Disease, Imperial College London, London, UK.

Rishi K Gupta (RK)

Institute of Global Health, University College London, London, UK.

Ewurabena A Mills (EA)

Department of Infectious Disease, Imperial College London, London, UK.

Dominique Arancon (D)

Imperial College Healthcare NHS Trust, London, UK.

Jessica Lin (J)

Department of Infectious Disease, Imperial College London, London, UK.

Yueh-Ho Chiu (YH)

Department of Infectious Disease, Imperial College London, London, UK.

Ivana Pennisi (I)

Department of Infectious Disease, Imperial College London, London, UK.

Luca Miglietta (L)

Department of Infectious Disease, Imperial College London, London, UK.
Department of Electrical & Electronic Engineering, Imperial College London, London, UK.

Ravi Mehta (R)

Department of Infectious Disease, Imperial College London, London, UK.

Nelofar Obaray (N)

Department of Infectious Disease, Imperial College London, London, UK.

Jethro A Herberg (JA)

Department of Infectious Disease, Imperial College London, London, UK.

Victoria J Wright (VJ)

Department of Infectious Disease, Imperial College London, London, UK.

Pantelis Georgiou (P)

Department of Electrical & Electronic Engineering, Imperial College London, London, UK.
Centre for Bio-Inspired Technology, Imperial College London, London, UK.

Laura J Shallcross (LJ)

Institute of Health Informatics, University College London, London, UK.

Alexander J Mentzer (AJ)

Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.

Michael Levin (M)

Department of Infectious Disease, Imperial College London, London, UK.

Graham S Cooke (GS)

Department of Infectious Disease, Imperial College London, London, UK.

Mahdad Noursadeghi (M)

Division of Infection and Immunity, University College London, London, UK.

Shiranee Sriskandan (S)

Department of Infectious Disease, Imperial College London, London, UK.
Medical Research Council Centre for Molecular Bacteriology & Infection, Imperial College London, London, UK.
National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infection & Antimicrobial Resistance, Imperial College London, London, UK.

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Classifications MeSH