Phenolic and microbial-targeted metabolomics to discovering and evaluating wine intake biomarkers in human urine and plasma.
The discovery of biomarkers of intake in nutritional epidemiological studies is essential in establishing an association between dietary intake (considering their bioavailability) and diet-related risk factors for diseases. The aim is to study urine and plasma phenolic and microbial profile by targeted metabolomics approach in a wine intervention clinical trial for discovering and evaluating food intake biomarkers. High-risk male volunteers (n = 36) were included in a randomized, crossover intervention clinical trial. After a washout period, subjects received red wine or gin, or dealcoholized red wine over four weeks. Fasting plasma and 24-h urine were collected at baseline and after each intervention period. A targeted metabolomic analysis of 70 host and microbial phenolic metabolites was performed using ultra performance liquid chromatography-tandem mass spectrometer (UPLC-MS/MS). Metabolites were subjected to stepwise logistic regression to establish prediction models and received operation curves were performed to evaluate biomarkers. Prediction models based mainly on gallic acid metabolites, obtained sensitivity, specificity and area under the curve (AUC) for the training and validation sets of between 91 and 98% for urine and between 74 and 91% for plasma. Resveratrol, ethylgallate and gallic acid metabolite groups in urine samples also resulted in being good predictors of wine intake (AUC>87%). However, lower values for metabolites were obtained in plasma samples. The highest correlations between fasting plasma and urine were obtained for the prediction model score (r = 0.6, P<0.001), followed by gallic acid metabolites (r = 0.5-0.6, P<0.001). This study provides new insights into the discovery of food biomarkers in different biological samples.
Biomarkers and Nutritional & Food Metabolomics Research Group, Nutrition and Food Science Department, XaRTA, INSA, Pharmacy Faculty, University of Barcelona, Barcelona, Spain.|Ingenio-CONSOLIDER programme, FUN-C-FOOD, Barcelona, Spain.
Mireia
M
Urpi-Sarda
Biomarkers and Nutritional & Food Metabolomics Research Group, Nutrition and Food Science Department, XaRTA, INSA, Pharmacy Faculty, University of Barcelona, Barcelona, Spain.
María
M
Boto-Ordóñez
Research Laboratory, IMABIS Foundation, Virgen de la Victoria Clinical Hospital, Málaga, Spain.|CIBER Fisiopatología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
María Isabel
MI
Queipo-Ortuño
Biomarkers and Nutritional & Food Metabolomics Research Group, Nutrition and Food Science Department, XaRTA, INSA, Pharmacy Faculty, University of Barcelona, Barcelona, Spain.|Ingenio-CONSOLIDER programme, FUN-C-FOOD, Barcelona, Spain.|Research Laboratory, IMABIS Foundation, Virgen de la Victoria Clinical Hospital, Málaga, Spain.
Sara
S
Tulipani
CIBER Fisiopatología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain.|Department of Preventive Medicine, University of Valencia, Valencia, Spain.
Dolores
D
Corella
CIBER Fisiopatología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain.|Department of Internal Medicine, Hospital Clinic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
Ramon
R
Estruch
CIBER Fisiopatología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain.|Servicio Endocrinología y Nutrición del Hospital Universitario Virgen de la Victoria, Málaga, Spain.
Francisco J
FJ
Tinahones
Biomarkers and Nutritional & Food Metabolomics Research Group, Nutrition and Food Science Department, XaRTA, INSA, Pharmacy Faculty, University of Barcelona, Barcelona, Spain.|Ingenio-CONSOLIDER programme, FUN-C-FOOD, Barcelona, Spain.
Cristina
C
Andres-Lacueva
Exposure biomarkers; Nutrimetabolomics; Targeted metabolomics; Wine