Autor segons l'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;
Departament: Bioquímica i Biotecnologia
Autor/s de la URV: Urpi Sarda, Mireia
Paraules clau: 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
Resum: 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.
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 15353893
Adreça de correu electrònic de l'autor: mireia.urpi@urv.cat
Data d'alta del registre: 2024-09-07
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://pubs.acs.org/doi/10.1021/acs.jproteome.6b00860
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Journal Of Proteome Research. 16 (4): 1483-1491
Referència de l'ítem segons les normes 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
DOI de l'article: 10.1021/acs.jproteome.6b00860
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2017
Tipus de publicació: Journal Publications