Abstract
Food intake biomarkers can be critical tools that can be used to objectively assess dietary exposure for both epidemiological and clinical nutrition studies. While an accurate estimation of food intake is essential to unravel associations between the intake and specific health conditions, random and systematic errors affect self-reported assessments. This study aimed to clarify how habitual food intake influences the circulating plasma metabolome in a free-living Japanese regional population and to identify potential food intake biomarkers. To achieve this aim, we conducted a cross-sectional analysis as part of a large cohort study. From a baseline survey of the Tsuruoka Metabolome Cohort Study, 7,012 eligible male and female participants aged 40-69 years were chosen for this study. All data on patients' health status and dietary intake were assessed via a food frequency questionnaire, and plasma samples were obtained during an annual physical examination. Ninety-four charged plasma metabolites were measured using capillary electrophoresis mass spectrometry, by a non-targeted approach. Statistical analysis was performed using partial-least-square regression. A total of 21 plasma metabolites were likely to be associated with long-term food intake of nine food groups. In particular, the influential compounds in each food group were hydroxyproline for meat, trimethylamine-N-oxide for fish, choline for eggs, galactarate for dairy, cystine and betaine for soy products, threonate and galactarate for carotenoid-rich vegetables, proline betaine for fruits, quinate and trigonelline for coffee, and pipecolate for alcohol, and these were considered as prominent food intake markers in Japanese eating habits. A set of circulating plasma metabolites was identified as potential food intake biomarkers in the Japanese community-dwelling population. These results will open the way for the application of new reliable dietary assessment tools not by self-reported measurements but through objective quantification of biofluids.
Highlights
Nutrition studies aim to reveal associations between dietary exposure and specific health conditions by clarifying individual or group food intake
While males were more likely to have a body mass index (BMI) that fell within the overweight range, females were more likely to have a BMI that fell within the underweight range
The International Study of Macronutrients and Micronutrients and Blood Pressure (INTERMAP) [16, 18, 34, 35] reported that significant relationship of metabolic profiles associated with diet, xenobiotics and blood pressure levels among populations in UK, US, China and Japan, whereas the European Prospective Investigation into Cancer and Nutrition (EPIC) [17, 19, 36, 37] has revealed that the metabolic signatures were affected by specific food consumption, such as meat, alcohol, and coffee, through the dietary assessments across four European countries
Summary
Nutrition studies aim to reveal associations between dietary exposure and specific health conditions by clarifying individual or group food intake. It is crucial to develop objective assessment tools (that is, dietary biomarkers) based on the concentrations of metabolites in biofluids such as blood and urine. Metabolomics is one of the core subject fields of systems biology, wherein comprehensive data of all measurable metabolite concentrations are collected from biochemical samples and subjected to advanced statistical processing to derive meaningful facts [3, 4]. Nutrimetabolomics, which combines metabolomics and nutritional status, is an evolving field that can yield great advancements in nutrition research as a tool for objective food intake evaluations, response to nutritional modulations in observational and interventional studies, and metabolic profiles as biological consequences of dietary intake [5,6,7,8,9]. We can expect to identify such food-specific metabolite markers comprehensively using CE-MS
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