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In the developed world, obesity and diabetes reached epidemic dimensions due to physical inactivity and the excess consumption of processed food, effects which are driven by rapid urbanization, industrialization as well as globalization. Although research on insulin resistance and it's co-morbidities, such as hyperlipidemia and atherosclerosis, has gained prominence during the last decades, the complex biological mechanisms which regulate metabolism in health and disease remain incompletely understood and there is still an urgent need for new treatment modalities to prevent and treat these diseases1.
Insulin, and it's counter-regulatory hormone glucagon serve as the principal regulators of cellular energy supply and macronutrient balance, thus also maintaining proper systemic blood glucose concentrations2. Glucose itself acts as one of the main stimulators of insulin secretion by pancreatic β-cells, while other macronutrients, humoral factors as well as neural input further modify this response. Insulin consequently triggers the anabolic processes of the fed state by facilitating the diffusion of excess blood glucose into muscle and fat cells and further activating glycolysis as well as protein- or fatty acid synthesis, respectively. Additionally, insulin suppresses hepatic glucose output by inhibiting gluconeogenesis. Chronic excess energy consumption and meta-inflammation lead to hyperinsulinemia and peripheral insulin resistance due to the down-regulation of insulin receptor expression as well as alterations in downstream signaling pathways, thus resulting in impaired sensitivity to insulin-mediated glucose disposal as well as insufficient inhibition of hepatic glucose production3,4,5,6.
A wide range of animal models with genetic, nutritional, or experimental induction of disease have been proven to be excellent tools to study the molecular mechanisms of insulin resistance and various forms of diabetes as well as its accompanying illnesses7. A prime example is the widely used and well established HFD-induced mouse model, which is characterized by rapid weight gain due to increased dietary intake in combination with reduced metabolic efficiency, resulting in insulin resistance8,9. Both in animal models and humans, an elevation in fasting blood glucose and insulin levels, as well as an impaired tolerance to glucose administration are frequently used indicators of insulin resistance and other systemic alterations of glucose metabolism. Monitoring blood glucose and insulin levels at the basal state or after stimulation are therefore easily accessible readouts.
The present protocol outlines the generation of HFD-fed mice as well as two frequently used methods, the oral glucose tolerance test (OGTT) and the insulin resistance test (ITT), which are useful to characterize the metabolic phenotype and to investigate alterations in glucose metabolism. We describe the OGTT in detail, which assesses the disposal of an orally administered glucose load and insulin secretion over time. Further, we provide instructions on how to conduct the ITT to investigate whole-body insulin-action by monitoring blood glucose concentration in response to a bolus of insulin. The protocols described in this article are well-established and have been used in multiple studies10,11,12. In addition to slight modifications which may help to increase success, we provide guidelines for experimental design and data analysis, as well as useful hints to avoid potential pitfalls. The protocols described herein can be very powerful tools to investigate the influence of genetic, pharmacological, dietary, and other environmental factors on whole body glucose metabolism and on its associated disorders such as insulin resistance. In addition to stimulation with glucose or insulin, a variety of other compounds may be used for stimulation depending on the purpose of individual research. Although outside of the scope of this manuscript, many other downstream applications can be performed on the drawn blood samples, such as the analysis of blood values other than glucose and insulin (e.g., lipid and lipoprotein profiles) as well as detailed analysis of metabolic markers (e.g., by quantitative real time Polymerase Chain Reaction (PCR), Western blot analysis, and Enzyme-Linked Immunosorbent Assay (ELISA)). Further flow cytometry and Fluorescence Activated Cell Sorting (FACS) may be applied to investigate the effects in distinct single cell populations, while transcriptomic, proteomic, and metabolomic approaches may also be utilized for untargeted analysis.
Overall, we provide a simple protocol to generate an HFD-induced mouse model, while further describing two powerful approaches to study whole-body metabolic alterations, the OGTT and the ITT, which can be useful tools for studying disease pathogenesis and developing new therapies, especially in the field of metabolism-associated diseases such as insulin resistance & diabetes.