BACKGROUND: The association between sugar-sweetened beverages (SSBs) and health risks remains controversial. To clarify proposed links, reliable and accurate dietary assessment methods of food intakes are essential. OBJECTIVE: The aim of this present work was to use a metabolomics approach to identify a panel of urinary biomarkers indicative of SSB consumption from a national food consumption survey and subsequently validate this panel in an acute intervention study. DESIGN: Heat map analysis was performed to identify correlations between ¹H nuclear magnetic resonance (NMR) spectral regions and SSB intakes in participants of the National Adult Nutrition Survey (n = 565). Metabolites were identified and receiver operating characteristic (ROC) analysis was performed to assess sensitivity and specificity of biomarkers. The panel of biomarkers was validated in an acute study (n = 10). A fasting first-void urine sample and postprandial samples (2, 4, 6 h) were collected after SSB consumption. After NMR spectroscopic profiling of the urine samples, multivariate data analysis was applied. RESULTS: A panel of 4 biomarkers-formate, citrulline, taurine, and isocitrate-were identified as markers of SSB intake. This panel of biomarkers had an area under the curve of 0.8 for ROC analysis and a sensitivity and specificity of 0.7 and 0.8, respectively. All 4 biomarkers were identified in the SSB sample. After acute consumption of an SSB drink, all 4 metabolites increased in the urine. CONCLUSIONS: The present metabolomics-based strategy proved to be successful in the identification of SSB biomarkers. Future work will ascertain how to translate this panel of markers for use in nutrition epidemiology.
BACKGROUND: The association between sugar-sweetened beverages (SSBs) and health risks remains controversial. To clarify proposed links, reliable and accurate dietary assessment methods of food intakes are essential. OBJECTIVE: The aim of this present work was to use a metabolomics approach to identify a panel of urinary biomarkers indicative of SSB consumption from a national food consumption survey and subsequently validate this panel in an acute intervention study. DESIGN: Heat map analysis was performed to identify correlations between ¹H nuclear magnetic resonance (NMR) spectral regions and SSB intakes in participants of the National Adult Nutrition Survey (n = 565). Metabolites were identified and receiver operating characteristic (ROC) analysis was performed to assess sensitivity and specificity of biomarkers. The panel of biomarkers was validated in an acute study (n = 10). A fasting first-void urine sample and postprandial samples (2, 4, 6 h) were collected after SSB consumption. After NMR spectroscopic profiling of the urine samples, multivariate data analysis was applied. RESULTS: A panel of 4 biomarkers-formate, citrulline, taurine, and isocitrate-were identified as markers of SSB intake. This panel of biomarkers had an area under the curve of 0.8 for ROC analysis and a sensitivity and specificity of 0.7 and 0.8, respectively. All 4 biomarkers were identified in the SSB sample. After acute consumption of an SSB drink, all 4 metabolites increased in the urine. CONCLUSIONS: The present metabolomics-based strategy proved to be successful in the identification of SSB biomarkers. Future work will ascertain how to translate this panel of markers for use in nutrition epidemiology.
Authors: Catherine C Cohen; Dana Dabelea; Gregory Michelotti; Lu Tang; Kartik Shankar; Michael I Goran; Wei Perng Journal: Metabolites Date: 2022-06-17
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Authors: Jun Li; Marta Guasch-Ferré; Wonil Chung; Miguel Ruiz-Canela; Estefanía Toledo; Dolores Corella; Shilpa N Bhupathiraju; Deirdre K Tobias; Fred K Tabung; Jie Hu; Tong Zhao; Constance Turman; Yen-Chen Anne Feng; Clary B Clish; Lorelei Mucci; A Heather Eliassen; Karen H Costenbader; Elizabeth W Karlson; Brian M Wolpin; Alberto Ascherio; Eric B Rimm; JoAnn E Manson; Lu Qi; Miguel Ángel Martínez-González; Jordi Salas-Salvadó; Frank B Hu; Liming Liang Journal: Eur Heart J Date: 2020-07-21 Impact factor: 35.855
Authors: Qian Gao; Giulia Praticò; Augustin Scalbert; Guy Vergères; Marjukka Kolehmainen; Claudine Manach; Lorraine Brennan; Lydia A Afman; David S Wishart; Cristina Andres-Lacueva; Mar Garcia-Aloy; Hans Verhagen; Edith J M Feskens; Lars O Dragsted Journal: Genes Nutr Date: 2017-12-12 Impact factor: 5.523