» Articles » PMID: 39519617

Postprandial Metabolomic Profiling: Insights into Macronutrient-Specific Metabolic Responses in Healthy Individuals

Overview
Journal Nutrients
Date 2024 Nov 9
PMID 39519617
Authors
Affiliations
Soon will be listed here.
Abstract

Background/objectives: Understanding the metabolic responses to different macronutrients is crucial for assessing their impacts on health. This study aims to investigate the postprandial metabolomic profiles of healthy individuals following the consumption of glucose, protein, and lipids.

Methods: Twenty-three healthy, normal-weight adults participated in the study, randomly assigned to consume 300 kcal from glucose, protein, or lipids after an overnight fast. Blood samples were collected at baseline and at 1, 2, and 3 h post-ingestion. An untargeted metabolomic approach using mass spectrometry was employed to analyze plasma metabolites.

Results: In total, 21, 59, and 156 dysregulated metabolites were identified after glucose, protein, and lipid intake, respectively. Notably, 3'-O-methylguanosine levels decreased significantly after glucose consumption while remaining stable during lipid intake before increasing at 2 h. Common metabolites shared between glucose and lipid groups included 3'-O-methylguanosine, 3-oxotetradecanoic acid, poly-g-D-glutamate, and triglyceride (TG) (15:0/18:4/18:1).

Conclusions: The findings highlight distinct metabolic responses to macronutrient intake, emphasizing the role of specific metabolites in regulating postprandial metabolism. These insights contribute to understanding how dietary components influence metabolic health and insulin sensitivity.

References
1.
Cobb J, Eckhart A, Perichon R, Wulff J, Mitchell M, Adam K . A novel test for IGT utilizing metabolite markers of glucose tolerance. J Diabetes Sci Technol. 2014; 9(1):69-76. PMC: 4495543. DOI: 10.1177/1932296814553622. View

2.
Guasch-Ferre M, Bhupathiraju S, Hu F . Use of Metabolomics in Improving Assessment of Dietary Intake. Clin Chem. 2017; 64(1):82-98. PMC: 5975233. DOI: 10.1373/clinchem.2017.272344. View

3.
Wopereis S, Stroeve J, Stafleu A, Bakker G, Burggraaf J, van Erk M . Multi-parameter comparison of a standardized mixed meal tolerance test in healthy and type 2 diabetic subjects: the PhenFlex challenge. Genes Nutr. 2017; 12:21. PMC: 5576306. DOI: 10.1186/s12263-017-0570-6. View

4.
Stark R, Kibbey R . The mitochondrial isoform of phosphoenolpyruvate carboxykinase (PEPCK-M) and glucose homeostasis: has it been overlooked?. Biochim Biophys Acta. 2013; 1840(4):1313-30. PMC: 3943549. DOI: 10.1016/j.bbagen.2013.10.033. View

5.
Moazzami A, Shrestha A, Morrison D, Poutanen K, Mykkanen H . Metabolomics reveals differences in postprandial responses to breads and fasting metabolic characteristics associated with postprandial insulin demand in postmenopausal women. J Nutr. 2014; 144(6):807-14. DOI: 10.3945/jn.113.188912. View