Literature DB >> 34255076

Advantages of Studying the Metabolome in Response to Mixed-Macronutrient Challenges and Suggestions for Future Research Designs.

Jennifer L LaBarre1, Kanakadurga Singer2, Charles F Burant1.   

Abstract

Evaluating the postprandial response to a dietary challenge containing all macronutrients-carbohydrates, lipids, and protein-may provide stronger insights of metabolic health than a fasted measurement. Metabolomic profiling deepens the understanding of the homeostatic and adaptive response to a dietary challenge by classifying multiple metabolic pathways and biomarkers. A total of 26 articles were identified that measure the human blood metabolome or lipidome response to a mixed-macronutrient challenge. Most studies were cross-sectional, exploring the baseline and postprandial response to the dietary challenge. Large variations in study designs were reported, including the macronutrient and caloric composition of the challenge and the delivery of the challenge as a liquid shake or a solid meal. Most studies utilized a targeted metabolomics platform, assessing only a particular metabolic pathway, however, several studies utilized global metabolomics and lipidomics assays demonstrating the expansive postprandial response of the metabolome. The postprandial response of individual amino acids was largely dependent on the amino acid composition of the test meal, with the exception of alanine and proline, 2 nonessential amino acids. Long-chain fatty acids and unsaturated long-chain acylcarnitines rapidly decreased in response to the dietary challenges, representing the switch from fat to carbohydrate oxidation. Studies were reviewed that assessed the metabolome response in the context of obesity and metabolic diseases, providing insight on how weight status and disease influence the ability to cope with a nutrient load and return to homeostasis. Results demonstrate that the flexibility to respond to a substrate load is influenced by obesity and metabolic disease and flexibility alterations will be evident in downstream metabolites of fat, carbohydrate, and protein metabolism. In response, we propose suggestions for standardization between studies with the potential of creating a study exploring the postprandial response to a multitude of challenges with a variety of macronutrients.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.

Entities:  

Keywords:  macronutrients; metabolic disease; metabolic pathways; metabolomics; postprandial response

Mesh:

Year:  2021        PMID: 34255076      PMCID: PMC8681069          DOI: 10.1093/jn/nxab223

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.687


  70 in total

1.  Postprandial metabolomics: A pilot mass spectrometry and NMR study of the human plasma metabolome in response to a challenge meal.

Authors:  Masoumeh Karimpour; Izabella Surowiec; Junfang Wu; Sandra Gouveia-Figueira; Rui Pinto; Johan Trygg; Angela M Zivkovic; Malin L Nording
Journal:  Anal Chim Acta       Date:  2015-12-17       Impact factor: 6.558

Review 2.  Regulation of glutamate metabolism and insulin secretion by glutamate dehydrogenase in hypoglycemic children.

Authors:  Charles A Stanley
Journal:  Am J Clin Nutr       Date:  2009-07-22       Impact factor: 7.045

3.  Plasma amino acid responses in humans to evening meals of differing nutritional composition.

Authors:  D V Ashley; D V Barclay; F A Chauffard; D Moennoz; P D Leathwood
Journal:  Am J Clin Nutr       Date:  1982-07       Impact factor: 7.045

4.  Changes of the plasma metabolome during an oral glucose tolerance test: is there more than glucose to look at?

Authors:  Xinjie Zhao; Andreas Peter; Jens Fritsche; Michaela Elcnerova; Andreas Fritsche; Hans-Ulrich Häring; Erwin D Schleicher; Guowang Xu; Rainer Lehmann
Journal:  Am J Physiol Endocrinol Metab       Date:  2008-12-09       Impact factor: 4.310

Review 5.  Interplay between lipids and branched-chain amino acids in development of insulin resistance.

Authors:  Christopher B Newgard
Journal:  Cell Metab       Date:  2012-05-02       Impact factor: 27.287

6.  Plasma metabolomics and proteomics profiling after a postprandial challenge reveal subtle diet effects on human metabolic status.

Authors:  Linette Pellis; Marjan J van Erk; Ben van Ommen; Gertruud C M Bakker; Henk F J Hendriks; Nicole H P Cnubben; Robert Kleemann; Eugene P van Someren; Ivana Bobeldijk; Carina M Rubingh; Suzan Wopereis
Journal:  Metabolomics       Date:  2011-05-28       Impact factor: 4.290

7.  Are we close to defining a metabolomic signature of human obesity? A systematic review of metabolomics studies.

Authors:  Oscar Daniel Rangel-Huerta; Belén Pastor-Villaescusa; Angel Gil
Journal:  Metabolomics       Date:  2019-06-13       Impact factor: 4.290

8.  Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity.

Authors:  Oded Shaham; Ru Wei; Thomas J Wang; Catherine Ricciardi; Gregory D Lewis; Ramachandran S Vasan; Steven A Carr; Ravi Thadhani; Robert E Gerszten; Vamsi K Mootha
Journal:  Mol Syst Biol       Date:  2008-08-05       Impact factor: 11.429

9.  Postprandial metabolite profiles associated with type 2 diabetes clearly stratify individuals with impaired fasting glucose.

Authors:  Ruifang Li-Gao; Renée de Mutsert; Patrick C N Rensen; Jan Bert van Klinken; Cornelia Prehn; Jerzy Adamski; Astrid van Hylckama Vlieg; Martin den Heijer; Saskia le Cessie; Frits R Rosendaal; Ko Willems van Dijk; Dennis O Mook-Kanamori
Journal:  Metabolomics       Date:  2017-12-12       Impact factor: 4.290

10.  Postprandial Metabolism is Impaired in Overweight Normoglycemic Young Adults without Family History of Diabetes.

Authors:  A Aneesh Kumar; Gopika Satheesh; Gadadharan Vijayakumar; Mahesh Chandran; Priya R Prabhu; Leena Simon; Vellappillil Raman Kutty; Chandrasekharan C Kartha; Abdul Jaleel
Journal:  Sci Rep       Date:  2020-01-15       Impact factor: 4.379

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  4 in total

1.  Plasma Metabolic Signatures of Healthy Overweight Subjects Challenged With an Oral Glucose Tolerance Test.

Authors:  Jarlei Fiamoncini; Carlos M Donado-Pestana; Graziela Biude Silva Duarte; Milena Rundle; Elizabeth Louise Thomas; Yoana Kiselova-Kaneva; Thomas E Gundersen; Diana Bunzel; Jean-Pierre Trezzi; Sabine E Kulling; Karsten Hiller; Denise Sonntag; Diana Ivanova; Lorraine Brennan; Suzan Wopereis; Ben van Ommen; Gary Frost; Jimmy Bell; Christian A Drevon; Hannelore Daniel
Journal:  Front Nutr       Date:  2022-06-14

2.  Postprandial Plasma Lipidomics Reveal Specific Alteration of Hepatic-derived Diacylglycerols in Nonalcoholic Fatty Liver Disease.

Authors:  Thomas J Velenosi; Gil Ben-Yakov; Maren C Podszun; Julian Hercun; Ohad Etzion; Shanna Yang; Cathy Nadal; Vanessa Haynes-Williams; Wen-Chun A Huang; Lila González-Hódar; Robert J Brychta; Shogo Takahashi; Vikas Akkaraju; Kristopher W Krausz; Mary Walter; Hongyi Cai; Peter J Walter; Ranganath Muniyappa; Kong Y Chen; Frank J Gonzalez; Yaron Rotman
Journal:  Gastroenterology       Date:  2022-03-10       Impact factor: 33.883

3.  Genomics of Postprandial Lipidomics in the Genetics of Lipid-Lowering Drugs and Diet Network Study.

Authors:  Marguerite R Irvin; May E Montasser; Tobias Kind; Sili Fan; Dinesh K Barupal; Amit Patki; Rikki M Tanner; Nicole D Armstrong; Kathleen A Ryan; Steven A Claas; Jeffrey R O'Connell; Hemant K Tiwari; Donna K Arnett
Journal:  Nutrients       Date:  2021-11-10       Impact factor: 5.717

Review 4.  Investigating the Postprandial Metabolome after Challenge Tests to Assess Metabolic Flexibility and Dysregulations Associated with Cardiometabolic Diseases.

Authors:  Gaïa Lépine; Marie Tremblay-Franco; Sabrine Bouder; Laurianne Dimina; Hélène Fouillet; François Mariotti; Sergio Polakof
Journal:  Nutrients       Date:  2022-01-21       Impact factor: 5.717

  4 in total

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