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Updated: Sep 11, 2025

Author Spotlight: Semi-Automated Isolation of the Stromal Vascular Fraction from Murine White Adipose Tissue Using a Tissue Dissociator
Published on: May 19, 2023
Compartment-specific Metabolic Alterations to Insulin Reflect Adiposity-driven Variation and Predict Type 2 Diabetes.
Magdalena Sevilla-González1,2,3, Paul A Hanson1,3, Jesse Islam4
1Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA 02114, USA.
Metabolomic profiling reveals how insulin affects metabolites in different body compartments. This analysis, combined with adiposity, can predict future type 2 diabetes risk, aiding early detection.
Area of Science:
- Metabolomics
- Endocrinology
- Diabetes Research
Background:
- Insulin resistance (IR) mechanisms remain unclear.
- Metabolomic profiling offers insights into compartment-specific metabolic variations.
- Identifies individuals at risk for type 2 diabetes (T2D).
Purpose of the Study:
- Characterize insulin-induced metabolomic changes during hyperinsulinemic-euglycemic clamp.
- Evaluate a derived risk score's predictive value for T2D.
Main Methods:
- Clamp studies in 80 adults (38 with T2D, 42 without) measured plasma and muscle metabolites.
- Developed and tested an IR metabolomic score in a prospective case-control study (367 cases, 910 controls) from the Women's Health Initiative.
Main Results:
- Hyperinsulinemia altered 79.5% of plasma metabolites (fatty acids, lactate, pyruvate) and 15.8% of muscle metabolites (amino acids).
- T2D associated with higher triglycerides and lower tricarboxylic acid intermediates during clamp.
- Adiposity amplified insulin-induced plasma lipid increases; risk score predicted incident T2D (HR 1.20 per SD).
Conclusions:
- Compartment-specific metabolic responses to insulin are influenced by adiposity.
- Metabolomic signatures predict future T2D risk.
- Supports using metabolomic signatures for early T2D identification and prevention.
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