Specific molecular peak analysis by ion mobility spectrometry of volatile organic compounds in urine of COVID-19 patients: A novel diagnostic approach.
Covid-19
IMS
Urine
VOC
diagnostics
electronic nose
smell prints
Journal
Journal of virological methods
ISSN: 1879-0984
Titre abrégé: J Virol Methods
Pays: Netherlands
ID NLM: 8005839
Informations de publication
Date de publication:
05 Mar 2024
05 Mar 2024
Historique:
received:
06
11
2023
revised:
08
01
2024
accepted:
02
03
2024
medline:
8
3
2024
pubmed:
8
3
2024
entrez:
7
3
2024
Statut:
aheadofprint
Résumé
SARS-CoV-2 is usually diagnosed from naso-/oropharyngeal swabs which are uncomfortable and prone to false results. This study investigated a novel diagnostic approach to Covid-19 measuring volatile organic compounds (VOC) from patients' urine. Between June 2020 and February 2021, 84 patients with positive RT-PCR for SARS-CoV-2 were recruited as well as 54 symptomatic individuals with negative RT-PCR. Midstream urine samples were obtained for VOC analysis using ion mobility spectrometry (IMS) which detects individual molecular components of a gas sample based on their size, configuration, and charge after ionization. Peak analysis of the 84 Covid and 54 control samples showed good group separation. In total, 37 individual specific peaks were identified, 5 of which (P134, 198, 135, 75, 136) accounted for significant differences between groups, resulting in sensitivities of 89-94% and specificities of 82-94%. A decision tree was generated from the relevant peaks, leading to a combined sensitivity and specificity of 98% each. VOC-based diagnosis can establish a reliable separation between urine samples of Covid-19 patients and negative controls. Molecular peaks which apparently are disease-specific were identified. IMS is an additional non-invasive and cheap device for the diagnosis of this ongoing endemic infection. Further studies are needed to validate sensitivity and specificity.
Identifiants
pubmed: 38452823
pii: S0166-0934(24)00034-X
doi: 10.1016/j.jviromet.2024.114910
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
114910Informations de copyright
Copyright © 2024. Published by Elsevier B.V.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.