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Unraveling the complex metabolic nature of astrocytes

Overview of attention for article published in Frontiers in Cellular Neuroscience, January 2013
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Title
Unraveling the complex metabolic nature of astrocytes
Published in
Frontiers in Cellular Neuroscience, January 2013
DOI 10.3389/fncel.2013.00179
Pubmed ID
Authors

Anne-Karine Bouzier-Sore, Luc Pellerin

Abstract

Since the initial description of astrocytes by neuroanatomists of the nineteenth century, a critical metabolic role for these cells has been suggested in the central nervous system. Nonetheless, it took several technological and conceptual advances over many years before we could start to understand how they fulfill such a role. One of the important and early recognized metabolic function of astrocytes concerns the reuptake and recycling of the neurotransmitter glutamate. But the description of this initial property will be followed by several others including an implication in the supply of energetic substrates to neurons. Indeed, despite the fact that like most eukaryotic non-proliferative cells, astrocytes rely on oxidative metabolism for energy production, they exhibit a prominent aerobic glycolysis capacity. Moreover, this unusual metabolic feature was found to be modulated by glutamatergic activity constituting the initial step of the neurometabolic coupling mechanism. Several approaches, including biochemical measurements in cultured cells, genetic screening, dynamic cell imaging, nuclear magnetic resonance spectroscopy and mathematical modeling, have provided further insights into the intrinsic characteristics giving rise to these key features of astrocytes. This review will provide an account of the different results obtained over several decades that contributed to unravel the complex metabolic nature of astrocytes that make this cell type unique.

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Mendeley readers

The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Canada 2 <1%
Colombia 1 <1%
Unknown 209 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 29%
Researcher 30 14%
Student > Master 29 14%
Student > Bachelor 26 12%
Professor 13 6%
Other 29 14%
Unknown 24 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 32%
Neuroscience 58 27%
Biochemistry, Genetics and Molecular Biology 31 14%
Medicine and Dentistry 11 5%
Computer Science 3 1%
Other 13 6%
Unknown 29 14%