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Glutamate and ATP at the Interface of Metabolism and Signaling in the Brain

Overview of attention for book
Attention for Chapter 7: Purinergic Receptor Stimulation Decreases Ischemic Brain Damage by Energizing Astrocyte Mitochondria
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Chapter title
Purinergic Receptor Stimulation Decreases Ischemic Brain Damage by Energizing Astrocyte Mitochondria
Chapter number 7
Book title
Glutamate and ATP at the Interface of Metabolism and Signaling in the Brain
Published in
Advances in neurobiology, January 2014
DOI 10.1007/978-3-319-08894-5_7
Pubmed ID
Book ISBNs
978-3-31-908893-8, 978-3-31-908894-5
Authors

Naomi L. Sayre, Yanan Chen, Mikaela Sifuentes, Brian Stoveken, James D. Lechleiter, Sayre, Naomi L., Chen, Yanan, Sifuentes, Mikaela, Stoveken, Brian, Lechleiter, James D.

Abstract

As a leading cause of death in the world, cerebral ischemic stroke has limited treatment options. The lack of glucose and oxygen after stroke is particularly harmful in the brain because neuronal metabolism accounts for significantly more energy consumption per gram of body weight compared to other organs. Our laboratory has identified mitochondrial metabolism of astrocytes to be a key target for pharmacologic intervention, not only because astrocytes play a central role in regulating brain metabolism, but also because they are essential for neuronal health and support. Here we review current literature pertaining to the pathobiology of stroke, along with the role of astrocytes and metabolism in stroke. We also discuss our research, which has revealed that pharmacologic stimulation of metabotropic P2Y1 receptor signaling in astrocytes can increase mitochondrial energy production and also reduce damage after stroke.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Unknown 1 33%
Readers by discipline Count As %
Neuroscience 2 67%
Unknown 1 33%