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Miguel A. Aon

Researcher at National Institutes of Health

Publications -  162
Citations -  10034

Miguel A. Aon is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Mitochondrion & Medicine. The author has an hindex of 49, co-authored 148 publications receiving 8576 citations. Previous affiliations of Miguel A. Aon include National Scientific and Technical Research Council & Johns Hopkins University.

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Synchronized Whole Cell Oscillations in Mitochondrial Metabolism Triggered by a Local Release of Reactive Oxygen Species in Cardiac Myocytes

TL;DR: The transitions in mitochondrial energetics were tightly coupled to activation of sarcolemmal KATP currents, causing oscillations in action potential duration, and thus might contribute to catastrophic arrhythmias during ischemia-reperfusion injury.
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An integrated model of cardiac mitochondrial energy metabolism and calcium dynamics

TL;DR: The model closely reproduces experimentally observed mitochondrial NADH dynamics in heart trabeculae subjected to changes in pacing frequency and supports the hypothesis that mitochondrial matrix Ca(2+) plays an important role in matching energy supply with demand in cardiac myocytes.
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Effects of Sex, Strain, and Energy Intake on Hallmarks of Aging in Mice

TL;DR: The authors' data illustrate the complexity of CR in the context of aging, with a clear separation of outcomes related to health and survival, highlighting complexities of translation of CR into human interventions.
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Elevated Cytosolic Na+ Decreases Mitochondrial Ca2+ Uptake During Excitation-Contraction Coupling and Impairs Energetic Adaptation in Cardiac Myocytes

TL;DR: The results indicate that mitochondria take up Ca2+ rapidly and contribute to fast buffering during a [Ca2+]c transient; and elevated Na+ ([Na+]i) impairs mitochondrial Ca2- uptake, with consequent effects on energy supply and demand matching.
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Redox-optimized ROS balance: A unifying hypothesis

TL;DR: It is postulated that mitochondria have been evolutionarily optimized to maximize energy output while keeping ROS overflow to a minimum by operating in an intermediate redox state, and the continuum described by the model has the potential to account for many disparate experimental observations and also provides a rationale for graded physiological ROS signaling at redox potentials near the minimum.