title: High urinary levels of resveratrol metabolites are associated with a reduction in the prevalence of cardiovascular risk factors in high-risk patients.
abstract: Moderate wine consumption has been shown to reduce cardiovascular (CV) risk, due to alcohol and polyphenolic compounds, such as resveratrol. We investigated the associations between total urinary resveratrol metabolites (TRMs) as biomarkers of wine and resveratrol consumption and CV risk factors in a large cross-sectional study including high CV risk individuals in Spain. We studied 1000 participants in the PREDIMED Study in whom TRMs were analyzed by LC-MS/MS with a previous solid phase extraction. Multiple linear regression of TRMs (biomarker of wine consumption) improved the mean (95% CI) of HDL [0.168 (0.027-0.309); P=0.02] and triglyceride [-1.012 (-1.797 to -0.227); P=0.012] plasma concentrations and heart rate [-0.259 (-0.412 to -0.107); P<0.001]. Models of TRMs adjusted for alcohol (biomarker of resveratrol intake) decreased fasting blood glucose [-0.533 (-1.034 to -0.033); P=0.037] and triglyceride [-1.014 (-1.998 to -0.029); P=0.044] concentrations, and heart rate [-0.277 (-0.467 to -0.087); P=0.004]. Both resveratrol and wine intake, evaluated as TRMs, were associated with beneficial changes in blood lipid profiles, fasting blood glucose (only resveratrol) and heart rate, suggesting that resveratrol intake via wine consumption might help to decrease CV risk factors.
authors.affiliation: Nutrition and Food Science Department, XaRTA INSA, Pharmacy School, University of Barcelona, Spain.
authors.forename: Raul
authors.initials: R
authors.lastname: Zamora-Ros
authors.forename: Mireia
authors.initials: M
authors.lastname: Urpi-Sarda
authors.forename: Rosa M
authors.initials: RM
authors.lastname: Lamuela-Raventós
authors.forename: Miguel Ángel
authors.initials: MÁ
authors.lastname: Martínez-González
authors.forename: Jordi
authors.initials: J
authors.lastname: Salas-Salvadó
authors.forename: Fernando
authors.initials: F
authors.lastname: Arós
authors.forename: Montserrat
authors.initials: M
authors.lastname: Fitó
authors.forename: José
authors.initials: J
authors.lastname: Lapetra
authors.forename: Ramon
authors.initials: R
authors.lastname: Estruch
authors.forename: Cristina
authors.initials: C
authors.lastname: Andres-Lacueva
mesh_terms: D000368:Aged; D015415:Biomarkers / Q000652:urine; D001711:Biotransformation; D001786:Blood Glucose / Q000378:metabolism; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000517:prevention & control* / Q000652:urine; D002853:Chromatography, Liquid; D003430:Cross-Sectional Studies; D038441:Diet, Mediterranean; D005260:Female; D006339:Heart Rate; D006801:Humans; D016014:Linear Models; D008075:Lipoproteins, HDL / Q000097:blood; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D015995:Prevalence; D000077185:Resveratrol; D052616:Solid Phase Extraction; D013030:Spain / Q000453:epidemiology; D013267:Stilbenes / Q000652:urine*; D053719:Tandem Mass Spectrometry; D014280:Triglycerides / Q000097:blood; D014920:Wine
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008075:Lipoproteins, HDL; D013267:Stilbenes; D014280:Triglycerides; D000077185:Resveratrol