Manipulations of the murine genome that alter cardiovascular function have created the need for methods to study cardiovascular physiology in genetically altered animals in vivo. We adapted chronic physiological measurement techniques to the nonanesthetized, nonrestrained murine model, established strain-specific cardiovascular and metabolic norms, and evaluated responses to anesthesia, exercise, and adrenergic stimulation. Anesthesia resulted in alterations in heart rate (HR), blood pressure (BP), and O2 consumption (V(O2)) and CO2 production (V(CO2)) for up to 6 h postoperatively. There were significant interstrain differences in resting values of HR and BP Graded treadmill exercise resulted in linear increases in HR, V(O2), V(CO2), and respiratory exchange ratio (RER) similar to those seen in larger species. Response to beta-adrenergic stimulation showed a classic sigmoidal dose-response curve; however, there was very little tachycardiac response to vagal blockade, indicating low resting vagal tone. This study demonstrates the feasibility of performing chronic cardiovascular measurements in nonanesthetized mice and stresses the importance of allowing for anesthetic recovery and strain variability. Murine cardiovascular responses to exercise can be reliably measured and are qualitatively similar to those in humans.
Insulin action in target tissues involved precise regulation of gene expression. To define the set of insulinregulated genes in human skeletal muscle, we analyzed the global changes in mRNA levels during a 3-h hyperinsulinemic euglycemic clamp in vastus lateralis muscle of six healthy subjects. Using 29,308 cDNA element microarrays, we found that the mRNA expression of 762 genes, including 353 expressed sequence tags, was significantly modified during insulin infusion. 478 were up-regulated and 284 down-regulated. Most of the genes with known function are novel targets of insulin. They are involved in the transcriptional and translational regulation (29%), intermediary and energy metabolisms (14%), intracellular signaling (12%), and cytoskeleton and vesicle traffic (9%). Other categories consisted of genes coding for receptors, carriers, and transporters (8%), components of the ubiquitin/proteasome pathways (7%) and elements of the immune response (5.5%). These results thus define a transcriptional signature of insulin action in human skeletal muscle. They will help to better define the mechanisms involved in the reduction of insulin effectiveness in pathologies such as type 2 diabetes mellitus, a disease characterized by defective regulation of gene expression in response to insulin.
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