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Updated: Jul 7, 2026
07:35
Hyperglycemic Clamp and Hypoglycemic Clamp in Conscious Mice
Published on: January 26, 2024
Evaluation of glucose homeostasis
Sami Heikkinen1, Carmen A Argmann, Marie-France Champy
1A.I. Virtanen Institute for Molecular Sciences, University of Kuopio, Kuopio, Finland.
Current Protocols in Molecular Biology
|February 12, 2008
Summary
Metabolic syndrome, characterized by obesity, dyslipidemia, and hypertension, is linked to insulin resistance. Understanding and measuring insulin resistance and glucose tolerance are crucial for metabolic phenotyping and developing interventions.
Area of Science:
- Endocrinology
- Metabolic Research
- Physiology
Background:
- Obesity and dyslipidemia are frequently associated with insulin resistance (IR), a key component of the metabolic syndrome.
- The metabolic syndrome, a cluster of conditions including hypertension, obesity, and dyslipidemia, is the most common endocrine disorder.
- Assessing IR and glucose tolerance is vital for understanding metabolic syndrome pathogenesis and evaluating interventions.
Purpose of the Study:
- To outline methods for assessing insulin resistance and glucose tolerance in metabolic phenotyping.
- To provide a comprehensive overview of various tests for measuring IR and glucose tolerance.
- To highlight the importance of these measurements in metabolic syndrome research.
Main Methods:
- Direct blood glucose measurements
- Insulin measurement using ELISA
- Homeostatic Model Assessment (HOMA)
- Glucose tolerance tests (GTT)
- Insulin sensitivity tests
- Euglycemic clamp technique
Main Results:
- The study details a range of established methods for quantifying IR and glucose metabolism.
- It emphasizes the utility of these methods in both basic research and preclinical studies.
- The presented techniques allow for accurate metabolic phenotyping.
Conclusions:
- Accurate measurement of insulin resistance and glucose tolerance is essential for comprehensive metabolic phenotyping.
- These assessments are critical for advancing the understanding and treatment of metabolic syndrome.
- The described methods provide a robust toolkit for researchers investigating metabolic disorders.
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