Literature DB >> 21984257

Assessment of dietary exposure related to dietary GI and fibre intake in a nutritional metabolomic study of human urine.

Lone G Rasmussen1, Hanne Winning, Francesco Savorani, Christian Ritz, Søren B Engelsen, Arne Astrup, Thomas M Larsen, Lars O Dragsted.   

Abstract

There is a need for a tool to assess dietary intake related to the habitual dietary glycaemic index (GI) and fibre in groups with large numbers of individuals. Novel metabolite-profiling techniques may be a useful approach when applied to human urine. In a long-term, controlled dietary intervention study, metabolomics were applied to assess dietary patterns. A targeted approach was used to evaluate the effects on urinary C-peptide excretion caused by the dietary treatments. Seventy-seven overweight subjects followed an 8-week low-calorie diet (LCD) and were then randomly assigned to a high-GI or low-GI diet for 6 month during which they completed 24-h urine collections at baseline (prior to the 8-week LCD) and after randomisation to the dietary intervention, at month 1, 3 and 6, respectively. Metabolite profiling in 24-h urine was performed by (1)H NMR and chemometrics. Partial least squares (PLS) analysis indicated that urinary formate could discriminate between high-GI and low-GI diets (correlation coefficient r = 0.82), and this finding was confirmed statistically (P = 0.01). PLS analysis also indicated that urinary hippurate could be associated with fibre intake, but this finding was not confirmed statistically. No associations between GI and urinary C-peptide were found. Our results emphasise that application of metabolomics is useful in the assessment of dietary exposure related to dietary GI and fibre seen at group level in a nutritional metabolomic study of human urine. As our design allowed for large variations in individually selected food items, biomarkers identified at group level may be interpreted as more general and robust markers, largely not confounded with markers from single dietary factors.

Entities:  

Year:  2011        PMID: 21984257      PMCID: PMC3316758          DOI: 10.1007/s12263-011-0250-x

Source DB:  PubMed          Journal:  Genes Nutr        ISSN: 1555-8932            Impact factor:   5.523


  47 in total

Review 1.  How accurate is self-reported dietary energy intake?

Authors:  D A Schoeller
Journal:  Nutr Rev       Date:  1990-10       Impact factor: 7.110

2.  NMR-based metabonomic studies reveal changes in the biochemical profile of plasma and urine from pigs fed high-fibre rye bread.

Authors:  Hanne C Bertram; Knud E Bach Knudsen; Anja Serena; Anders Malmendal; Niels Chr Nielsen; Xavier C Fretté; Henrik J Andersen
Journal:  Br J Nutr       Date:  2006-05       Impact factor: 3.718

Review 3.  Biomarkers in nutritional epidemiology: applications, needs and new horizons.

Authors:  Mazda Jenab; Nadia Slimani; Magda Bictash; Pietro Ferrari; Sheila A Bingham
Journal:  Hum Genet       Date:  2009-04-09       Impact factor: 4.132

4.  Effect of host diet on production of organic acids and methane by cockroach gut bacteria.

Authors:  M D Kane; J A Breznak
Journal:  Appl Environ Microbiol       Date:  1991-09       Impact factor: 4.792

5.  Susceptibility of human metabolic phenotypes to dietary modulation.

Authors:  Cinzia Stella; Bridgette Beckwith-Hall; Olivier Cloarec; Elaine Holmes; John C Lindon; Jonathan Powell; Frans van der Ouderaa; Sheila Bingham; Amanda J Cross; Jeremy K Nicholson
Journal:  J Proteome Res       Date:  2006-10       Impact factor: 4.466

6.  Beneficial effect of a low glycaemic index diet in type 2 diabetes.

Authors:  T M Wolever; D J Jenkins; V Vuksan; A L Jenkins; G C Buckley; G S Wong; R G Josse
Journal:  Diabet Med       Date:  1992-06       Impact factor: 4.359

Review 7.  Bioavailability and bioefficacy of polyphenols in humans. I. Review of 97 bioavailability studies.

Authors:  Claudine Manach; Gary Williamson; Christine Morand; Augustin Scalbert; Christian Rémésy
Journal:  Am J Clin Nutr       Date:  2005-01       Impact factor: 7.045

8.  Application of biofluid 1H nuclear magnetic resonance-based metabonomic techniques for the analysis of the biochemical effects of dietary isoflavones on human plasma profile.

Authors:  Kirty S Solanky; Nigel J C Bailey; Bridgette M Beckwith-Hall; Adrienne Davis; Sheila Bingham; Elaine Holmes; Jeremy K Nicholson; Aedin Cassidy
Journal:  Anal Biochem       Date:  2003-12-15       Impact factor: 3.365

9.  Enhanced short-term improvement of insulin response to a low-caloric diet in obese carriers the Gly482Ser variant of the PGC-1alpha gene.

Authors:  Estibaliz Goyenechea; Ana B Crujeiras; Itziar Abete; Dolores Parra; J Alfredo Martínez
Journal:  Diabetes Res Clin Pract       Date:  2008-09-26       Impact factor: 5.602

10.  Consumption of a legume-enriched, low-glycemic index diet is associated with biomarkers of insulin resistance and inflammation among men at risk for colorectal cancer.

Authors:  Terryl J Hartman; Paul S Albert; Zhiying Zhang; Deborah Bagshaw; Penny M Kris-Etherton; Jan Ulbrecht; Carla K Miller; Gerd Bobe; Nancy H Colburn; Elaine Lanza
Journal:  J Nutr       Date:  2009-11-04       Impact factor: 4.798

View more
  10 in total

1.  The human milk metabolome reveals diverse oligosaccharide profiles.

Authors:  Jennifer T Smilowitz; Aifric O'Sullivan; Daniela Barile; J Bruce German; Bo Lönnerdal; Carolyn M Slupsky
Journal:  J Nutr       Date:  2013-09-11       Impact factor: 4.798

Review 2.  Nutritional phenotype databases and integrated nutrition: from molecules to populations.

Authors:  Michael J Gibney; Breige A McNulty; Miriam F Ryan; Marianne C Walsh
Journal:  Adv Nutr       Date:  2014-05-14       Impact factor: 8.701

Review 3.  Use of Metabolomics in Improving Assessment of Dietary Intake.

Authors:  Marta Guasch-Ferré; Shilpa N Bhupathiraju; Frank B Hu
Journal:  Clin Chem       Date:  2017-10-16       Impact factor: 8.327

4.  Advances in Nutritional Metabolomics.

Authors:  Elizabeth P Ryan; Adam L Heuberger; Corey D Broeckling; Erica C Borresen; Cadie Tillotson; Jessica E Prenni
Journal:  Curr Metabolomics       Date:  2013

5.  Targeted plasma metabolome response to variations in dietary glycemic load in a randomized, controlled, crossover feeding trial in healthy adults.

Authors:  Sally Barton; Sandi L Navarro; Matthew F Buas; Yvonne Schwarz; Haiwei Gu; Danijel Djukovic; Daniel Raftery; Mario Kratz; Marian L Neuhouser; Johanna W Lampe
Journal:  Food Funct       Date:  2015-09       Impact factor: 5.396

6.  1H NMR-based metabolomics reveals the effect of maternal habitual dietary patterns on human amniotic fluid profile.

Authors:  Maria Fotiou; Charalambos Fotakis; Foteini Tsakoumaki; Elpiniki Athanasiadou; Charikleia Kyrkou; Aristea Dimitropoulou; Thalia Tsiaka; Anastasia Chrysovalantou Chatziioannou; Kosmas Sarafidis; George Menexes; Georgios Theodoridis; Costas G Biliaderis; Panagiotis Zoumpoulakis; Apostolos P Athanasiadis; Alexandra-Maria Michaelidou
Journal:  Sci Rep       Date:  2018-03-06       Impact factor: 4.379

7.  A randomised, controlled, crossover study of the effect of diet on angiopoietin-like protein 4 (ANGPTL4) through modification of the gut microbiome.

Authors:  Trine Blædel; Jacob B Holm; Ulrik K Sundekilde; Mette S Schmedes; Anne L Hess; Janne K Lorenzen; Karsten Kristiansen; Trine K Dalsgaard; Arne Astrup; Lesli H Larsen
Journal:  J Nutr Sci       Date:  2016-12-06

8.  Potential Markers of Dietary Glycemic Exposures for Sustained Dietary Interventions in Populations without Diabetes.

Authors:  Edith Feskens; Lorraine Brennan; Pierre Dussort; Matthieu Flourakis; Lena M E Lindner; David Mela; Naila Rabbani; Wolfgang Rathmann; Frédérique Respondek; Coen Stehouwer; Stephan Theis; Paul Thornalley; Sophie Vinoy
Journal:  Adv Nutr       Date:  2020-09-01       Impact factor: 8.701

9.  Effect of trans fatty acid intake on LC-MS and NMR plasma profiles.

Authors:  Gözde Gürdeniz; Daniela Rago; Nathalie Tommerup Bendsen; Francesco Savorani; Arne Astrup; Lars O Dragsted
Journal:  PLoS One       Date:  2013-07-29       Impact factor: 3.240

10.  Effects of Anthocyanin Extracts from Bilberry (Vaccinium myrtillus L.) and Purple Potato (Solanum tuberosum L. var. 'Synkeä Sakari') on the Plasma Metabolomic Profile of Zucker Diabetic Fatty Rats.

Authors:  Kang Chen; Xuetao Wei; Jian Zhang; Raghunath Pariyani; Johanna Jokioja; Maaria Kortesniemi; Kaisa M Linderborg; Jari Heinonen; Tuomo Sainio; Yumei Zhang; Baoru Yang
Journal:  J Agric Food Chem       Date:  2020-08-20       Impact factor: 5.279

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.