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1H NMR spectroscopy-based metabolomics analysis for the diagnosis of symptomatic E. coli-associated urinary tract infection (UTI)

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Title: 1H NMR spectroscopy-based metabolomics analysis for the diagnosis of symptomatic E. coli-associated urinary tract infection (UTI)
Authors: Lussu, M
Camboni, T
Piras, C
Serra, C
Del Carratore, F
Griffin, J
Atzori, L
Manzin, A
Item Type: Journal Article
Abstract: BACKGROUND: Urinary tract infection (UTI) is one of the most common diagnoses in girls and women, and to a lesser extent in boys and men younger than 50 years. Escherichia coli, followed by Klebsiella spp. and Proteus spp., cause 75-90% of all infections. Infection of the urinary tract is identified by growth of a significant number of a single species in the urine, in the presence of symptoms. Urinary culture is an accurate diagnostic method but takes several hours or days to be carried out. Metabolomics analysis aims to identify biomarkers that are capable of speeding up diagnosis. METHODS: Urine samples from 51 patients with a prior diagnosis of Escherichia coli-associated UTI, from 21 patients with UTI caused by other pathogens (bacteria and fungi), and from 61 healthy controls were analyzed. The 1H-NMR spectra were acquired and processed. Multivariate statistical models were applied and their performance was validated using permutation test and ROC curve. RESULTS: Orthogonal Partial Least Squares-discriminant Analysis (OPLS-DA) showed good separation (R2Y = 0.76, Q2=0.45, p < 0.001) between UTI caused by Escherichia coli and healthy controls. Acetate and trimethylamine were identified as discriminant metabolites. The concentrations of both metabolites were calculated and used to build the ROC curves. The discriminant metabolites identified were also evaluated in urine samples from patients with other pathogens infections to test their specificity. CONCLUSIONS: Acetate and trimethylamine were identified as optimal candidates for biomarkers for UTI diagnosis. The conclusions support the possibility of a fast diagnostic test for Escherichia coli-associated UTI using acetate and trimethylamine concentrations.
Issue Date: 21-Sep-2017
Date of Acceptance: 13-Sep-2017
URI: http://hdl.handle.net/10044/1/75297
DOI: 10.1186/s12866-017-1108-1
ISSN: 1471-2180
Publisher: BioMed Central
Journal / Book Title: BMC Microbiology
Volume: 17
Issue: 1
Copyright Statement: © The Author(s). 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, andreproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link tothe Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: 1H NMR spectroscopy
Acetate
E. coli
ROC curve
Trimethylamine
UTI
Acetates
Adult
Aged
Aged, 80 and over
Bacteria
Bacteriuria
Biomarkers
Escherichia coli
Escherichia coli Infections
Female
Fungi
Humans
Male
Metabolomics
Methylamines
Middle Aged
Multivariate Analysis
Proton Magnetic Resonance Spectroscopy
ROC Curve
Reference Values
Sensitivity and Specificity
Time Factors
Urinary Tract
Urinary Tract Infections
Urinary Tract
Humans
Bacteria
Escherichia coli
Fungi
Escherichia coli Infections
Urinary Tract Infections
Bacteriuria
Methylamines
Acetates
Multivariate Analysis
Sensitivity and Specificity
ROC Curve
Time Factors
Reference Values
Adult
Aged
Aged, 80 and over
Middle Aged
Female
Male
Metabolomics
Proton Magnetic Resonance Spectroscopy
Biomarkers
1H NMR spectroscopy
Acetate
E. coli
ROC curve
Trimethylamine
UTI
Acetates
Adult
Aged
Aged, 80 and over
Bacteria
Bacteriuria
Biomarkers
Escherichia coli
Escherichia coli Infections
Female
Fungi
Humans
Male
Metabolomics
Methylamines
Middle Aged
Multivariate Analysis
Proton Magnetic Resonance Spectroscopy
ROC Curve
Reference Values
Sensitivity and Specificity
Time Factors
Urinary Tract
Urinary Tract Infections
06 Biological Sciences
11 Medical and Health Sciences
07 Agricultural and Veterinary Sciences
Microbiology
Publication Status: Published
Conference Place: England
Article Number: ARTN 201
Appears in Collections:Department of Metabolism, Digestion and Reproduction