Literature DB >> 28091346

The role of metabolomics in determination of new dietary biomarkers.

A O'Gorman1, L Brennan1.   

Abstract

Traditional methods for the assessment of dietary intake are prone to error; in order to improve and enhance these methods increasing interest in the identification of dietary biomarkers has materialised. Metabolomics has emerged as a key tool in the area of dietary biomarker discovery and to date the use of metabolomics has identified a number of putative biomarkers. Applications to identify novel biomarkers of intake have in general taken three approaches: (1) specific acute intervention studies to identify specific biomarkers of intake; (2) searching for biomarkers in cohort studies by correlating to self-reported intake of a specific food/food group(s); (3) analysing dietary patterns in conjunction with metabolomic profiles to identify biomarkers and nutritypes. A number of analytical technologies are employed in metabolomics as currently there is no single technique capable of measuring the entire metabolome. These approaches each have their own advantages and disadvantages. The present review will provide an overview of current technologies and applications of metabolomics in the determination of new dietary biomarkers. In addition, it will address some of the current challenges in the field and future outlooks.

Keywords:  2D two-dimensional; PC principal components; Biomarkers; Dietary intake; Metabolomics; Nutrition

Mesh:

Substances:

Year:  2017        PMID: 28091346     DOI: 10.1017/S0029665116002974

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


  18 in total

Review 1.  Nutritional Metabolomics in Cancer Epidemiology: Current Trends, Challenges, and Future Directions.

Authors:  Emma E McGee; Rama Kiblawi; Mary C Playdon; A Heather Eliassen
Journal:  Curr Nutr Rep       Date:  2019-09

2.  Discovery of Food Intake Biomarkers Using Metabolomics.

Authors:  Leticia Lacalle-Bergeron; David Izquierdo-Sandoval; Juan V Sancho; Tania Portolés
Journal:  Methods Mol Biol       Date:  2023

Review 3.  A Role for Data Science in Precision Nutrition and Early Brain Development.

Authors:  Sarah U Morton; Brian J Leyshon; Eleonora Tamilia; Rutvi Vyas; Michaela Sisitsky; Imran Ladha; John B Lasekan; Matthew J Kuchan; P Ellen Grant; Yangming Ou
Journal:  Front Psychiatry       Date:  2022-06-23       Impact factor: 5.435

Review 4.  Potential Impact of Nutrition on Immune System Recovery from Heavy Exertion: A Metabolomics Perspective.

Authors:  David C Nieman; Susan Hazels Mitmesser
Journal:  Nutrients       Date:  2017-05-18       Impact factor: 5.717

Review 5.  Personalised Interventions-A Precision Approach for the Next Generation of Dietary Intervention Studies.

Authors:  Baukje de Roos; Lorraine Brennan
Journal:  Nutrients       Date:  2017-08-09       Impact factor: 5.717

Review 6.  Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies.

Authors:  David Broadhurst; Royston Goodacre; Stacey N Reinke; Julia Kuligowski; Ian D Wilson; Matthew R Lewis; Warwick B Dunn
Journal:  Metabolomics       Date:  2018-05-18       Impact factor: 4.290

7.  Ultra-Performance Liquid Chromatography-Ion Mobility Separation-Quadruple Time-of-Flight MS (UHPLC-IMS-QTOF MS) Metabolomics for Short-Term Biomarker Discovery of Orange Intake: A Randomized, Controlled Crossover Study.

Authors:  Leticia Lacalle-Bergeron; Tania Portolés; Francisco J López; Juan Vicente Sancho; Carolina Ortega-Azorín; Eva M Asensio; Oscar Coltell; Dolores Corella
Journal:  Nutrients       Date:  2020-06-29       Impact factor: 5.717

8.  GC-MS Based Metabolomics and NMR Spectroscopy Investigation of Food Intake Biomarkers for Milk and Cheese in Serum of Healthy Humans.

Authors:  Alessia Trimigno; Linda Münger; Gianfranco Picone; Carola Freiburghaus; Grégory Pimentel; Nathalie Vionnet; François Pralong; Francesco Capozzi; René Badertscher; Guy Vergères
Journal:  Metabolites       Date:  2018-03-23

9.  Serum metabolomics study of the association between dairy intake and the anti-müllerian hormone annual decline rate.

Authors:  Nazanin Moslehi; Rezvan Marzbani; Hassan Rezadoost; Parvin Mirmiran; Fahimeh Ramezani Tehrani; Fereidoun Azizi
Journal:  Nutr Metab (Lond)       Date:  2021-06-27       Impact factor: 4.169

10.  Plasma and Urine Metabolite Profiles Impacted by Increased Dietary Navy Bean Intake in Colorectal Cancer Survivors: A Randomized-Controlled Trial.

Authors:  Iman Zarei; Bridget A Baxter; Renee C Oppel; Erica C Borresen; Regina J Brown; Elizabeth P Ryan
Journal:  Cancer Prev Res (Phila)       Date:  2020-12-24
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