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Transcellular Cycles underlying Neurotransmission

Editorial ARTICLE

Front. Nutr., 29 June 2015 | https://doi.org/10.3389/fnut.2015.00018

Editorial: “Transcellular cycles underlying neurotransmission”

  • 1Instituto Investigaciones Biomédicas “Alberto Sols” CSIC-UAM, Madrid, Spain
  • 2Laboratory for Functional and Metabolic Imaging (LIFMET), SB IPSB, École Polytechnique Fédéral de Lausanne, Lausanne, Switzerland

Neuronal action potentials and neurotransmitter releases induce important alterations in the extracellular millieu, including increased K+ concentrations from membrane repolarization and increased neurotransmitter levels from trans-synaptic signaling (1, 2). It becomes crucial then to remove, fast and efficiently, these ionic and neurotransmitter surges and to prepare the synapsis for a new neurotransmission event (3). In parallel, the energy demands of these metabolic movements must be fulfilled from substrates, such as glucose and lactate, obtained from cerebrovascular supplies (4, 5). Surrounding astrocytes coordinate all these tasks, playing a central role during neurotransmission, many times operating intercellularly as astrocytic networks (6, 7). Summarizing, the adequate operation of neurotransmission requires the transcellular coupling of neuronal and astrocytic metabolisms to a suitable supply of metabolic substrates from the microvasculature. Pathological alterations in these processes underlie the most morbid and prevalent neurological disorders, including ischemic or traumatic episodes and neurodegeneration.

Despite enormous progress in our understanding of neurotransmission during the last decades, important questions remain insufficiently explored including the quantitative assessment of transcellular cycles of glutamate, glutamine, and GABA supporting glutamatergic or gabaergic neurotransmissions, the preferred metabolic substrates, as glucose and/or lactate, supporting the energy demands under resting or stimulated conditions, and the mechanisms underlying neurovascular coupling. In addition, the important question on how all these processes occur and integrate under the in vivo situation reaches, in this context, vital relevance.

Recently, a variety of non-invasive approaches have allowed the investigation of these aspects in vivo (8), outstandingly, those involving functional magnetic resonance imaging and 13C magnetic resonance spectroscopy methods. The following e-book entitled “Transcellular Cycles Underlying Neurotransmission” provides an authoritative overview of these issues, compiling contributions from leading scientists in this field.

In the study of neuroglial interactions in vivo, Rodrigues et al. (9) provide a convenient introduction to the fundamentals of 13C NMR spectroscopy and its applications to cerebral energy metabolism, Duarte et al. (10) report on the compartmentalized metabolism of (1,6-13C2) glucose in the brain in vivo, Shen (11) reviews the mathematical modeling strategies used to simulate quantitatively the operation glutamate–glutamine cycle in vivo, and Sampol et al. (12) address the metabolism of glucose and lactate in the stimulated, awake, rat brain. Similarly, Bartnick-Olson et al. (13) illustrate the use of 13C NMR to evaluate the altered neuroglial interactions in response to traumatic brain injury.

The neurophysiological, metabolic, and cellular compartmentation events underlying functional neuroimaging by MRI are discussed by Moreno et al. (14), while Lizarbe et al. (15) cover the use of different MRI and MRS strategies to evaluate the ionic responses during hypothalamic activation by appetite stimulation. The role of astrocytic metabolic networks in metabolic coupling is discussed by Escartin and Rouach (16), whereas Bergessen and Gjedde (17) elaborate on the interesting hypothesis of lactate becoming a volume transmitter of metabolic states through the brain.

In summary, this e-book provides a broad coverage of recent progress in neuroglial coupling mechanisms underlying neuronal firing under physiological or pathological situations and their integration within astrocytic networks and associated neurovascular responses, as observed by advanced magnetic resonance imaging and spectroscopy methods in vivo.

We hope that this compilation becomes useful for a wide range of neuroscientists, from young students entering the field and looking for a global perspective, to established scientists, searching for specialized views on critical issues of cerebral neurotransmission in vivo.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor, Pierre J. Magistretti, declares that, despite being affiliated to the same institution as author, Blanca Lizarbe, the review was handled objectively and no conflict of interest exists.

References

1. Hertz L, Xu J, Song D, Yan E, Gu L, Peng L. Astrocytic and neuronal accumulation of elevated extracellular K+ with a 2/3 K+/Na+ flux ratio-consequences for energy metabolism, osmolarity and higher brain function. Front Comput Neurosci (2013) 7:114. doi: 10.3389/fncom.2013.00114

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Koester J. Voltage-gated ion channels and the generation of the action potential. In: Kandel E, Schwartz JH, Jessel TM, editors. Principles of Neural Science. Englewood Cliffs, NJ: Prentice Hall (1991). p. 104–18.

Google Scholar

3. Kandel E, Siegelbaum SA, Schwartz JH. Synaptic transmission. In: Kandel E, Schwartz JH, Jessel TM, editors. Principles of Neural Science. Englewood Cliffs, NJ: Prentice Hall (1991). p. 123–34.

Google Scholar

4. Dienel GA. Energy generation in the central nervous system. In: Edvinson L, Krause DN, editors. Cerebral Blood Flow and Metabolism. Philadelphia, PA: Lippincott Williams & Wilkins (2002). p. 140–61.

Google Scholar

5. Attwell D, Laughlin SB. An energy budget for signaling in the grey matter of the brain. J Cereb Blood Flow Metab (2001) 21:1133–45. doi:10.1097/00004647-200110000-00001

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Belanger M, Allaman I, Magistretti PG. Brain energy metabolism: focus on astrocyte-neuron metabolic cooperation. Cell Metab (2015) 14:724–38. doi:10.1016/j.cmet.2011.08.016

CrossRef Full Text | Google Scholar

7. Giaume C, Koulakoff A, Roux L, Holcman D, Rouach N. Astroglial networks: a step further in neuroglial and gliovascular interactions. Nat Rev Neurosci (2010) 11:87–99. doi:10.1038/nrn2757

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Song AW, Merkle H, Neil JJ, Linden A, Graaf RA, Cady EB, et al. Advances in neurobiology. In: Choi I-Y, Gruetter R, editors. Neural Metabolism in vivo. Vol. 4. New York, NY: Springer (2012). doi:10.1007/978-1-4614-1788-0

CrossRef Full Text | Google Scholar

9. Rodrigues TB, Valette J, Bouzier-Sore AK. 13C NMR spectroscopy applications to brain energy metabolism. Front Neuroenergetics (2013) 5:9. doi:10.3389/fnene.2013.00009

CrossRef Full Text | Google Scholar

10. Duarte JM, Lanz B, Gruetter R. Compartmentalized cerebral metabolism of [1,6-13C]glucose determined by in vivo 13C NMR spectroscopy at 14.1 T. Front Neuroenergetics (2013) 3:3. doi:10.3389/fnene.2011.00003

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Shen J. Modeling the glutamate-glutamine neurotransmitter cycle. Front Neuroenergetics (2013) 5:1. doi:10.3389/fnene.2013.00001

CrossRef Full Text | Google Scholar

12. Sampol D, Ostrofet E, Jobin ML, Raffard G, Sanchez S, Bouchaud V, et al. Glucose and lactate metabolism in the awake and stimulated rat: a 13C-NMR study. Front Neuroenergetics (2013) 5:5. doi:10.3389/fnene.2013.00005

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Bartnik-Olson BL, Harris NG, Shijo K, Sutton RL. Insights into the metabolic response to traumatic brain injury as revealed by 13C NMR spectroscopy. Front Neuroenergetics (2013) 5:8. doi:10.3389/fnene.2013.00008

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Moreno A, Jego P, de la Cruz F, Canals S. Neurophysiological, metabolic and cellular compartments that drive neurovascular coupling and neuroimaging signals. Front Neuroenergetics (2013) 5:3. doi:10.3389/fnene.2013.00003

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Lizarbe B, Benítez A, Pelaez-Brioso GA, Sanchez-Montanes M, López-Larrubia P, Ballesteros P, et al. Hypothalamic metabolic compartmentation during appetite regulation as revealed by magnetic resonance imaging and spectroscopy methods. Front Neuroenergetics (2013) 5:6. doi:10.3389/fnene.2013.00006

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Escartin C, Rouach N. Astroglial networking contributes to neurometabolic coupling. Front Neuroenergetics (2013) 5:4. doi:10.3389/fnene.2013.00004

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Bergersen LH, Gjedde A. Is lactate a volume transmitter of metabolic states of the brain? Front Neuroenergetics (2012) 4:5. doi:10.3389/fnene.2012.00005

CrossRef Full Text | Google Scholar

Keywords: magnetic resonance imaging, magnetic resonance spectroscopy, glutamate–glutamine cycle, neuroglial interactions, neurovascular coupling

Citation: Cerdan S and Lizarbe B (2015) Editorial: “Transcellular cycles underlying neurotransmission”. Front. Nutr. 2:18. doi: 10.3389/fnut.2015.00018

Received: 02 June 2015; Accepted: 11 June 2015;
Published: 29 June 2015

Edited and reviewed by: Pierre J. Magistretti, École Polytechnique Fédéral de Lausanne, Switzerland

Copyright: © 2015 Cerdan and Lizarbe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sebastián Cerdan, scerdan@iib.uam.es