Imperial College London

DrRuiPinto

Faculty of MedicineSchool of Public Health

Research Associate in Chemometrics/Metabolomics
 
 
 
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Contact

 

+44 (0)20 7594 9761r.pinto Website

 
 
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Location

 

155Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Rådjursöga:2017:10.1016/j.foodchem.2017.03.142,
author = {Rådjursöga, M and Karlsson, GB and Lindqvist, HM and Pedersen, A and Persson, C and Pinto, RC and Ellegård, L and Winkvist, A},
doi = {10.1016/j.foodchem.2017.03.142},
journal = {Food Chem},
pages = {267--274},
title = {Metabolic profiles from two different breakfast meals characterized by 1H NMR-based metabolomics.},
url = {http://dx.doi.org/10.1016/j.foodchem.2017.03.142},
volume = {231},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - It is challenging to measure dietary exposure with techniques that are both accurate and applicable to free-living individuals. We performed a cross-over intervention, with 24 healthy individuals, to capture the acute metabolic response of a cereal breakfast (CB) and an egg and ham breakfast (EHB). Fasting and postprandial urine samples were analyzed using 1H nuclear magnetic resonance (NMR) spectroscopy and multivariate data analysis. Metabolic profiles were distinguished in relation to ingestion of either CB or EHB. Phosphocreatine/creatine and citrate were identified at higher concentrations after consumption of EHB. Beverage consumption (i.e., tea or coffee) could clearly be seen in the data. 2-furoylglycine and 5-hydroxymethyl-2-furoic acid - potential biomarkers for coffee consumption were identified at higher concentrations in coffee drinkers. Thus 1H NMR urine metabolomics is applicable in the characterization of acute metabolic fingerprints from meal consumption and in the identification of metabolites that may serve as potential biomarkers.
AU - Rådjursöga,M
AU - Karlsson,GB
AU - Lindqvist,HM
AU - Pedersen,A
AU - Persson,C
AU - Pinto,RC
AU - Ellegård,L
AU - Winkvist,A
DO - 10.1016/j.foodchem.2017.03.142
EP - 274
PY - 2017///
SP - 267
TI - Metabolic profiles from two different breakfast meals characterized by 1H NMR-based metabolomics.
T2 - Food Chem
UR - http://dx.doi.org/10.1016/j.foodchem.2017.03.142
UR - https://www.ncbi.nlm.nih.gov/pubmed/28450006
VL - 231
ER -