Biochemical and Biophysical Research Communications
In vivo cardiac glucose metabolism in the high-fat fed mouse: Comparison of euglycemic–hyperinsulinemic clamp derived measures of glucose uptake with a dynamic metabolomic flux profiling approach
Introduction
Cardiac insulin resistance, as demonstrated by a reduction in insulin stimulated glucose uptake into the myocardium, is often present in patients with whole-body insulin resistance and type 2 diabetes (T2D) [1], [2], [3], [4], [5]. However, developing an understanding of the mechanisms responsible for cardiac insulin resistance has been challenging due to the obvious limitations in obtaining fresh heart tissue from humans. Thus, is not surprising that together with the emergence of genetic engineering techniques to manipulate the mouse genome, the field of cardio-metabolic research has become increasingly reliant on mouse models. One of the most commonly used models in this field is the chronically high-fat diet (HFD) fed C57Bl/6 mouse, which shows important metabolic changes that resemble the human ‘pre-diabetic’ condition, including obesity, hyperinsulinemia, insulin resistance and glucose intolerance [6]. We have previously performed detailed time course studies in C57Bl/6 mice investigating the evolution of HFD-induced whole-body and tissue specific (liver, skeletal muscle and adipose) insulin resistance via the use of the ‘gold standard’ euglycemic–hyperinsulinemic clamp [6]. We found that HFD-induced whole body insulin resistance developed rapidly, within 1 week of HFD feeding, with this being entirely mediated by impaired hepatic insulin action [6]. Extending the HFD to 3 weeks exacerbated the insulin resistance due to the induction of skeletal muscle insulin resistance, however beyond this point, even after 16 weeks of HFD, did not further deteriorate whole-body or organ specific insulin resistance [6]. However, our previous report did not document the temporal development of cardiac insulin resistance [6]. While the clamp remains the ‘gold-standard’ approach to assess insulin sensitivity, it fails to adequately simulate the dynamic changes in hormones and substrates which occur in the postprandial state. We have recently developed an innovative method to asses intracellular glucose metabolism under the physiologically and clinically relevant condition of the oral glucose tolerance test (OGTT) using dynamic metabolomics [7]. Therefore we aimed to determine the evolution of HFD induced cardiac insulin resistance in the C57Bl/6 mouse using the euglycemic–hyperinsulinemic clamp and to examine how the presence of cardiac insulin resistance impacts on intermediary metabolism under the dynamic physiological conditions of an oral glucose challenge.
Section snippets
Animals
All experiments were approved by the Monash University Animal Research Platform Animal Ethics Committee or the AMREP Animal Ethics Committee and were in accordance with the National Health and Medical Research Council of Australia Guidelines on Animal Experimentation. Mice were maintained at 22 ± 1 °C on a 12 h light/dark cycle, with free access to food and water. Eight week old male C57BL/6 mice were maintained on a standard chow control diet (9% energy as fat, Barastoc Rat and Mouse, Ridley
Temporal pattern of HFD-induced cardiac insulin resistance
We have previously conducted a detailed study documenting the development of whole-body and tissue-specific insulin resistance in mice fed a HFD [6]. In this study male C57BL/6 mice were fed a control chow or HFD for either 1, 3, 6 or 16 weeks after which the euglycemic–hyperinsulinemic clamps were performed at each corresponding time point [6]. In this study, however, we did not report on the effects on cardiac insulin sensitivity. Thus here we have analysed the cardiac tissue from our
Sources of funding
This work was supported by a grant from the Diabetes Australia Research Trust. RSLY and MJM are supported by fellowships from the National Health and Medical Research Council of Australia (APP1059530).
Disclosures
None.
Acknowledgements
We would like to thank the excellent technical assistance provided by Patricio Sepulveda.
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