One (small) step towards precision nutrition by use of metabolomics.

PubWeight™: 0.76‹?›

🔗 View Article (PMID 28089710)

Published in Lancet Diabetes Endocrinol on January 12, 2017

Authors

Shilpa N Bhupathiraju1, Frank B Hu2

Author Affiliations

1: Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
2: Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Electronic address: frank.hu@channing.harvard.edu.

Associated clinical trials:

Exploring Nutritype Signature of Type 2 Diabetes Risks in Women Post-Gestational Diabetes Mellitus | NCT04190199

Articles citing this

Genome-Wide Association Study of Dietary Pattern Scores. Nutrients (2017) 0.75

Articles cited by this

Understanding nutritional epidemiology and its role in policy. Adv Nutr (2015) 1.37

Metabolomics in nutritional epidemiology: identifying metabolites associated with diet and quantifying their potential to uncover diet-disease relations in populations. Am J Clin Nutr (2014) 1.35

Effects of Dietary Approaches to Stop Hypertension (DASH)-style diet on fatal or nonfatal cardiovascular diseases--incidence: a systematic review and meta-analysis on observational prospective studies. Nutrition (2013) 1.24

Urinary flavonoids and phenolic acids as biomarkers of intake for polyphenol-rich foods. Br J Nutr (2006) 1.06

Polyphenol metabolome in human urine and its association with intake of polyphenol-rich foods across European countries. Am J Clin Nutr (2015) 0.94

Gut microbiota metabolites of dietary lignans and risk of type 2 diabetes: a prospective investigation in two cohorts of U.S. women. Diabetes Care (2014) 0.92

A metabolomics approach to the identification of biomarkers of sugar-sweetened beverage intake. Am J Clin Nutr (2015) 0.89

Novel multimetabolite prediction of walnut consumption by a urinary biomarker model in a free-living population: the PREDIMED study. J Proteome Res (2014) 0.84

Objective assessment of dietary patterns by use of metabolic phenotyping: a randomised, controlled, crossover trial. Lancet Diabetes Endocrinol (2017) 0.84

Using NMR-Based Metabolomics to Evaluate Postprandial Urinary Responses Following Consumption of Minimally Processed Wheat Bran or Wheat Aleurone by Men and Women. Nutrients (2016) 0.81