scholarly journals Metabolomics and human nutrition

2011 ◽  
Vol 105 (8) ◽  
pp. 1277-1283 ◽  
Author(s):  
Sandy Primrose ◽  
John Draper ◽  
Rachel Elsom ◽  
Verity Kirkpatrick ◽  
John C. Mathers ◽  
...  

The present report summarises a workshop convened by the UK Food Standards Agency (Agency) on 25 March 2010 to discuss the current Agency's funded research on the use of metabolomics technologies in human nutrition research. The objectives of this workshop were to review progress to date, to identify technical challenges and ways of overcoming them, and to discuss future research priorities and the application of metabolomics in public health nutrition research and surveys. Results from studies nearing completion showed that by using carefully designed dietary and sampling regimens, it is possible to identify novel biomarkers of food intake that could not have been predicted from current knowledge of food composition. These findings provide proof-of-principle that the metabolomics approach can be used to develop new putative biomarkers of dietary intake. The next steps will be to validate these putative biomarkers, to develop rapid and inexpensive assays for biomarkers of food intake of high public health relevance, and to test their utility in population cohort studies and dietary surveys.

2008 ◽  
Vol 139 (1) ◽  
pp. 178-184 ◽  
Author(s):  
Gary R. Beecher ◽  
Kent K. Stewart ◽  
Joanne M. Holden ◽  
James M. Harnly ◽  
Wayne R. Wolf

1989 ◽  
Vol 8 (3-4) ◽  
pp. 97-100
Author(s):  
Haworth Continuing Features Submission

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 37-37
Author(s):  
Kristen James ◽  
Erik Gertz ◽  
Charles Stephensen ◽  
Brian Bennett

Abstract Objectives The microbial metabolite trimethylamine n-oxide (TMAO) is associated with cardiovascular and renal disease. The dietary factors contributing to plasma TMAO concentrations are not well characterized in a generally healthy population unmedicated for metabolic diseases. The objective of this study was to assess the relationships among TMAO-precursor foods, TMAO, and classic cardiometabolic markers in a generally healthy population stratified for age, sex, and BMI. Methods Fasting plasma TMAO was quantified using liquid chromatography-mass spectrometry in 356 participants (n = 188 female, 18–65 yr, 18–40 BMI) enrolled in the cross-sectional Nutritional Phenotyping Study conducted as the USDA Western Human Nutrition Center. Diet was assessed by averaging 2 weekday and 1 weekend ASA-24hr recalls cleaned by NCBI guidelines. Fasting plasma analytes such as glucose, insulin, triglycerides, and cholesterol were measured using the Cobas Integra 400 Plus. Variables were transformed to conform to the normal distribution. Regression models assessing health parameters and TMAO were adjusted for age, sex, and the kidney function marker, cystatin C. Models assessing TMAO and diet variables were adjusted for age, sex, and energy intake. Composite variables describing average intake of red meat and TMAO-precursor foods were created by summing the appropriate ASA24 variables. Results TMAO was associated with age (P = 0.001), but not sex or BMI. A significant interaction (P = 0.006) between sex and age was used in all models. Of the variables analyzed, only refined grains and total energy intake were significantly associated with TMAO (r = −0.11, P = 0.04; r = 0.12, P = 0.03, respectively). Reduced renal function as assessed by circulating cystatin C concentrations was associated with plasma TMAO (r = 0.18, P < 0.001). Average daily red meat consumption as well as average daily TMAO-precursor consumption was not significantly associated with TMAO (P = 0.137, P = 0.554, respectively). In contrast, average daily fiber intake was marginally related to TMAO (B = −0.11, SE = 0.01, P = 0.07). Conclusions In this generally healthy population, no relationship between red meat or TMAO-precursor foods and TMAO was identified. Funding Sources The Beef Checkoff (R01HL128572); USDA/ARS/Western Human Nutrition Research Center project funds (2032–51,000-025–00D).


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