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The Pyruvate-Lactate Metabolic Axis in Heart Failure and Recovery
PROJECT SUMMARY/ABSTRACT Heart failure (HF) is a leading cause of mortality worldwide. The metabolism of the failing heart is commonly characterized by increased glucose uptake, glycolytic dependence, and reduced oxidative phosphorylation. We previously demonstrated that blocking glucose oxidation is sufficient to cause hypertrophy and subsequent HF. Additionally, our preliminary data shows that an altered pyruvate-lactate metabolic axis may be pivotal in human HF. Research investigating both the mechanistic regulation and biological roles of the pyruvate-lactate metabolic axis in cardiac metabolism during HF and cardiac recovery is warranted and also has the potential to identify novel druggable pathways to target for future pharmacological approaches. The overall objective of this application is to test the hypothesis that impaired pyruvate oxidation is a cardinal feature of HF in humans and animal models and that myocardial recovery is tightly coupled to normalization of the pyruvate-lactate metabolic axis. We will quantify the pyruvate-lactate metabolic axis in human HF and myocardial recovery (Aim 1). Next, we will determine the essentiality of the pyruvate-lactate metabolic axis for HF and cardiac recovery (Aim 2). Lastly, we will define cell-autonomous mechanisms that regulate the pyruvate-lactate axis in HF and recovery (Aim 3). These experiments will allow us to identify patterns of metabolic alteration in the pyruvate-lactate axis and molecular pathways during HF and myocardial recovery. Understanding the role of pyruvate and lactate metabolism in HF and myocardial recovery is cutting-edge research. Our unique access to human HF myocardium from patients administered stable isotope-labeled glucose or lactate to quantitate pyruvate metabolism in HF and recovery is state-of-the-art and will likely help us reveal new fundamental mechanisms of cardiac metabolism and expedite the successful translation of therapeutics being validated in various models of HF and recovery.
Causal coupling between neural activity, metabolism, and behavior across the Drosophila brain
Coordinated activity across networks of neurons is a hallmark of both resting and active behavioral states in many species, including worms, flies, fish, mice and humans. These global patterns alter energy metabolism in the brain over seconds to hours, making oxygen consumption and glucose uptake widely used proxies of neural activity. However, whether changes in neural activity are causally related to changes in metabolic flux in intact circuits on the sub-second timescales associated with behavior, is unclear. Moreover, it is unclear whether differences between rest and action are associated with spatiotemporally structured changes in neuronal energy metabolism at the subcellular level. My work combines two-photon microscopy across the fruit fly brain with sensors that allow simultaneous measurements of neural activity and metabolic flux, across both resting and active behavioral states. It demonstrates that neural activity drives changes in metabolic flux, creating a tight coupling between these signals that can be measured across large-scale brain networks. Further, using local optogenetic perturbation, I show that even transient increases in neural activity result in rapid and persistent increases in cytosolic ATP, suggesting that neuronal metabolism predictively allocates resources to meet the energy demands of future neural activity. Finally, these studies reveal that the initiation of even minimal behavioral movements causes large-scale changes in the pattern of neural activity and energy metabolism, revealing unexpectedly widespread engagement of the central brain.
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