Literature DB >> 32452330

Potential of food intake biomarkers in nutrition research.

Aoife E McNamara1,2, Lorraine Brennan1,2.   

Abstract

The influence of dietary habits on health/disease is well-established. Accurate dietary assessment is essential to understand metabolic pathways/processes involved in this relationship. In recent years, biomarker discovery has become a major area of interest for improving dietary assessment. Well-established nutrient intake biomarkers exist; however, there is growing interest in identifying and using biomarkers for more accurate and objective measurements of food intake. Metabolomics has emerged as a key tool used for biomarker discovery, employing techniques such as NMR spectroscopy, or MS. To date, a number of putatively identified biomarkers were discovered for foods including meat, cruciferous vegetables and legumes. However, many of the results are associations only and lack the desired validation including dose-response studies. Food intake biomarkers can be employed to classify individuals into consumers/non-consumers of specific foods, or into dietary patterns. Food intake biomarkers can also play a role in correcting self-reported measurement error, thus improving dietary intake estimates. Quantification of food intake was previously performed for citrus (proline betaine), chicken (guanidoacetate) and grape (tartaric acid) intake. However, this area still requires more investigation and expansion to a range of foods. The present review will assess the current literature of identified specific food intake biomarkers, their validation and the variety of biomarker uses. Addressing the utility of biomarkers and highlighting gaps in this area is important to advance the field in the context of nutrition research.

Keywords:  Biomarkers; Dietary assessment; Food intake; Metabolomics

Year:  2020        PMID: 32452330     DOI: 10.1017/S0029665120007053

Source DB:  PubMed          Journal:  Proc Nutr Soc        ISSN: 0029-6651            Impact factor:   6.297


  2 in total

1.  Lipidomics-Based Comparison of Molecular Compositions of Green, Yellow, and Red Bell Peppers.

Authors:  Aimee K Sutliff; Martine Saint-Cyr; Audrey E Hendricks; Samuel S Chen; Katrina A Doenges; Kevin Quinn; Jamie Westcott; Minghua Tang; Sarah J Borengasser; Richard M Reisdorph; Wayne W Campbell; Nancy F Krebs; Nichole A Reisdorph
Journal:  Metabolites       Date:  2021-04-14

Review 2.  Metabolomics Meets Nutritional Epidemiology: Harnessing the Potential in Metabolomics Data.

Authors:  Lorraine Brennan; Frank B Hu; Qi Sun
Journal:  Metabolites       Date:  2021-10-19
  2 in total

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