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Updated: May 14, 2026

Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test (OGTT) and Insulin Tolerance Test (ITT)
Published on: January 7, 2018
Metabolite profiles during oral glucose challenge
Jennifer E Ho1, Martin G Larson, Ramachandran S Vasan
1Framingham Heart Study of the National Heart, Lung, and Blood Institute and Boston University School of Medicine, Framingham, Massachusetts, USA.
An oral glucose tolerance test (OGTT) reveals 91 altered metabolites in glucose metabolism pathways. Specific metabolite changes can identify individuals with insulin resistance, even in prediabetes.
Area of Science:
- Metabolomics
- Human Physiology
- Biochemistry
Background:
- Glucose metabolism is central to human health and disease.
- Insulin resistance is a precursor to type 2 diabetes and metabolic syndrome.
- Understanding metabolic perturbations during glucose challenge is crucial for early detection.
Purpose of the Study:
- To systematically evaluate biochemical changes following an oral glucose tolerance test (OGTT).
- To identify distinct biological pathways affected by glucose metabolism.
- To pinpoint metabolite responses associated with insulin resistance.
Main Methods:
- Metabolic profiling of 377 non-diabetic participants before and after OGTT.
- Statistical analyses including paired t tests, cluster analysis, and multivariable regression.
- Evaluation of 110 metabolites to assess changes and associations with insulin resistance.
Main Results:
- 91 out of 110 metabolites showed significant changes post-OGTT (P ≤ 0.0005).
- Observed shifts in amino acids, β-hydroxybutyrate, TCA cycle, glycolysis, and B vitamins.
- Blunted changes in specific metabolites (e.g., β-hydroxybutyrate, isoleucine) were linked to insulin resistance.
Conclusions:
- OGTT unmasks significant metabolic pathway alterations in glucose metabolism.
- Metabolite response patterns during OGTT can differentiate individuals with and without insulin resistance.
- These findings highlight unique metabolic phenotypes detectable in prediabetic states.
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