Biomarkers of food intake and metabolite differences between plasma and red blood cell matrices; a human metabolomic profile approach (original) (raw)

Blood Metabolomic Profiling Confirms and Identifies Biomarkers of Food Intake

Metabolites

Metabolomics can be a tool to identify dietary biomarkers. However, reported food-metabolite associations have been inconsistent, and there is a need to explore further associations. Our aims were to confirm previously reported food-metabolite associations and to identify novel food-metabolite associations. We conducted a cross-sectional analysis of data from 849 participants (57% men) of the PopGen cohort. Dietary intake was obtained using FFQ and serum metabolites were profiled by an untargeted metabolomics approach. We conducted a systematic literature search to identify previously reported food-metabolite associations and analyzed these associations using linear regression. To identify potential novel food-metabolite associations, datasets were split into training and test datasets and linear regression models were fitted to the training datasets. Significant food-metabolite associations were evaluated in the test datasets. Models were adjusted for covariates. In the literature,...

Metabolic signatures related to diet in human urine and blood specimens

2012

Metabolomics is an emerging methodology which has lately been used in nutrition and health research. There is large interest to develop metabolomics-based methods for reflection of dietary exposure in epidemiological studies and standardized intervention studies. The aim of this BSc-thesis was to investigate the possibilities if metabolomics analyses of urine and blood specimens could be used to reflect differences in subject characteristics, lifestyles, and dietary patterns in free-living humans. Empirical data were collected using database search for articles where dietary metabolomics experiment were conducted and reported in human subjects, along with reference search in the selected articles. Metabolites from food, endogenous response to exposure, and gut microbial activity were found responsible for metabolic signatures of dietary intake in both blood and urine specimens. Gender, age and diurnal variation were also found responsible for unique metabolic signatures, characterized to some extent by likely lifestyle factors such as diet. Subject characteristics, lifestyle, and time of sampling are suggested to play important roles when assessing a metabolic signature of dietary patterns. Other factors to consider is for how long the dietary effect will last, usage of proper statistical analysis, and choice of analytical platform. To conclude, food seems to have a rather large influence on human urine and blood metabolic phenotype and identification of metabolic signatures of dietary patterns, using metabolomics, is likely to be achieved.

Role of metabolomics in identification of biomarkers related to food intake

Proceedings of the Nutrition Society

Dietary assessment methods including FFQ and food diaries are associated with many measurement errors including energy under-reporting and incorrect estimation of portion sizes. Such errors can lead to inconsistent results especially when investigating the relationship between food intake and disease causation. To improve the classification of a person's dietary intake and therefore clarify proposed links between diet and disease, reliable and accurate dietary assessment methods are essential. Dietary biomarkers have emerged as a complementary approach to the traditional methods, and in recent years, metabolomics has developed as a key technology for the identification of new dietary biomarkers. The objective of this review is to give an overview of the approaches used for the identification of biomarkers and potential use of the biomarkers. Over the years, a number of strategies have emerged for the discovery of dietary biomarkers including acute and medium term interventions a...