1H NMR spectroscopy-based metabolomics analysis for the diagnosis of symptomatic E. coli-associated urinary tract infection (UTI).
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Authors
Lussu, Milena
Camboni, Tania
Piras, Cristina
Serra, Corrado
Del Carratore, Francesco
Griffin, Julian
Atzori, Luigi
Publication Date
2017-09-21Journal Title
BMC Microbiol
ISSN
1471-2180
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Pages
201
Language
eng
Type
Article
Physical Medium
Electronic
Metadata
Show full item recordCitation
Lussu, M., Camboni, T., Piras, C., Serra, C., Del Carratore, F., Griffin, J., Atzori, L., & et al. (2017). 1H NMR spectroscopy-based metabolomics analysis for the diagnosis of symptomatic E. coli-associated urinary tract infection (UTI).. BMC Microbiol, 17 (1), 201. https://doi.org/10.1186/s12866-017-1108-1
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.
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
Identifiers
External DOI: https://doi.org/10.1186/s12866-017-1108-1
This record's URL: https://www.repository.cam.ac.uk/handle/1810/285651
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