Imperial College London
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ProfessorJulianGriffin

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 7594 3220julian.griffin

 
 
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Location

 

Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Piras:2020:10.3390/APP10165401,
author = {Piras, C and Pibiri, M and Leoni, VP and Cabras, F and Restivo, A and Griffin, JL and Fanos, V and Mussap, M and Zorcolo, L and Atzori, L},
doi = {10.3390/APP10165401},
journal = {Applied Sciences (Switzerland)},
title = {Urinary <sup>1</sup>H-NMR metabolic signature in subjects undergoing colonoscopy for colon cancer diagnosis},
url = {http://dx.doi.org/10.3390/APP10165401},
volume = {10},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Metabolomics represents a promising non-invasive approach that can be applied to identify biochemical changes in colorectal cancer patients (CRC) and is potentially useful for diagnosis and follow-up. Despite the literature regarding metabolomics CRC-specific profiles, discrimination between metabolic changes specifically related to CRC and intra-individual variability is still a problem to be solved. This was a preliminary case-control study, in which 1H-NMR spectroscopy combined with multivariate statistical analysis was used to profile urine metabolites in subjects undergoing colonoscopy for colon cancer diagnosis. To reduce intra-individual variability, metabolic profiles were evaluated in participants' urine samples, collected just before the colonoscopy and after a short-term dietary regimen required for the endoscopy procedure. Data obtained highlighted different urinary metabolic profiles between CRC and unaffected subjects (C). The metabolites altered in the CRC urine (acetoacetate, creatine, creatinine, histamine, phenylacetylglycine, and tryptophan) significantly correlated with colon cancer and discriminated with accuracy CRC patients from C patients (receiver operator characteristic (ROC) curve with an area under the curve (AUC) of 0.875; 95% CI: 0.667-1). These results confirm that urinary metabolomic analysis can be a valid tool to improve CRC diagnosis, prognosis, and response to therapy, representing a noninvasive approach that could precede more invasive tests.
AU  - Piras,C
AU  - Pibiri,M
AU  - Leoni,VP
AU  - Cabras,F
AU  - Restivo,A
AU  - Griffin,JL
AU  - Fanos,V
AU  - Mussap,M
AU  - Zorcolo,L
AU  - Atzori,L
DO  - 10.3390/APP10165401
PY  - 2020///
TI  - Urinary <sup>1</sup>H-NMR metabolic signature in subjects undergoing colonoscopy for colon cancer diagnosis
T2  - Applied Sciences (Switzerland)
UR  - http://dx.doi.org/10.3390/APP10165401
VL  - 10
ER  -
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