Author, as appears in the article.: Madrid-Gambin, Francisco; Llorach, Rafael; Vazquez-Fresno, Rosa; Urpi-Sarda, Mireia; Almanza-Aguilera, Enrique; Garcia-Aloy, Mar; Estruch, Ramon; Corella, Dolores; Andres-Lacueva, Cristina;
Department: Bioquímica i Biotecnologia
URV's Author/s: Urpi Sarda, Mireia
Keywords: Roc curve Renal-failure Randomized-trial Pulses Population Obesity Nmr Metabolomics Mediterranean diet Legumes Insulin-resistance Health Gut microbiota Energy Choline metabolism Cardiovascular-disease Biomarkers Amino-acid-metabolism roc curve nmr metabolomics legumes energy choline metabolism biomarkers
Abstract: Little is known about the metabolome fingerprint of pulse consumption. The study of robust and accurate biomarkers for pulse dietary assessment has great value for nutritional epidemiology regarding health benefits and their mechanisms. To characterize the fingerprinting of dietary pulses (chickpeas, lentils, and beans), spot urine samples from a subcohort from the PREDIMED study were stratified using a validated food frequency questionnaire. Urine samples of nonpulse consumers (?4 g/day of pulse intake) and habitual pulse consumers (?25 g/day of pulse intake) were analyzed using a 1H nuclear magnetic resonance (NMR) metabolomics approach combined with multi- and univariate data analysis. Pulse consumption showed differences through 16 metabolites coming from (i) choline metabolism, (ii) protein-related compounds, and (iii) energy metabolism (including lower urinary glucose). Stepwise logistic regression analysis was applied to design a combined model of pulse exposure, which resulted in glutamine, dimethylamine, and 3-methylhistidine. This model was evaluated by a receiver operating characteristic curve (AUC > 90% in both training and validation sets). The application of NMR-based metabolomics to reported pulse exposure highlighted new candidates for biomarkers of pulse consumption and the impact on energy metabolism, generating new hypotheses on energy modulation. Further intervention studies will confirm these findings.
Thematic Areas: Química Odontología Medicina veterinaria Medicina ii Medicina i Interdisciplinar General chemistry Farmacia Engenharias iii Engenharias ii Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry (miscellaneous) Chemistry (all) Biotecnología Biodiversidade Biochemistry Biochemical research methods Astronomia / física
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 15353893
Author's mail: mireia.urpi@urv.cat
Record's date: 2024-09-07
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://pubs.acs.org/doi/10.1021/acs.jproteome.6b00860
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Journal Of Proteome Research. 16 (4): 1483-1491
APA: Madrid-Gambin, Francisco; Llorach, Rafael; Vazquez-Fresno, Rosa; Urpi-Sarda, Mireia; Almanza-Aguilera, Enrique; Garcia-Aloy, Mar; Estruch, Ramon; Core (2017). Urinary H-1 Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study. Journal Of Proteome Research, 16(4), 1483-1491. DOI: 10.1021/acs.jproteome.6b00860
Article's DOI: 10.1021/acs.jproteome.6b00860
Entity: Universitat Rovira i Virgili
Journal publication year: 2017
Publication Type: Journal Publications
Repositori URV