In Vivo Evidence for a Lactate Gradient from Astrocytes to Neurons - PubMed (original) (raw)
. 2016 Jan 12;23(1):94-102.
doi: 10.1016/j.cmet.2015.10.010. Epub 2015 Nov 19.
Matthias T Wyss 1, Maha Elsayed 2, Jillian Stobart 1, Robin Gutierrez 3, Alexandra von Faber-Castell 4, Vincens Kaelin 4, Marc Zuend 1, Alejandro San Martín 5, Ignacio Romero-Gómez 5, Felipe Baeza-Lehnert 5, Sylvain Lengacher 2, Bernard L Schneider 2, Patrick Aebischer 2, Pierre J Magistretti 6, L Felipe Barros 5, Bruno Weber 7
Affiliations
- PMID: 26698914
- DOI: 10.1016/j.cmet.2015.10.010
Free article
In Vivo Evidence for a Lactate Gradient from Astrocytes to Neurons
Philipp Mächler et al. Cell Metab. 2016.
Free article
Abstract
Investigating lactate dynamics in brain tissue is challenging, partly because in vivo data at cellular resolution are not available. We monitored lactate in cortical astrocytes and neurons of mice using the genetically encoded FRET sensor Laconic in combination with two-photon microscopy. An intravenous lactate injection rapidly increased the Laconic signal in both astrocytes and neurons, demonstrating high lactate permeability across tissue. The signal increase was significantly smaller in astrocytes, pointing to higher basal lactate levels in these cells, confirmed by a one-point calibration protocol. Trans-acceleration of the monocarboxylate transporter with pyruvate was able to reduce intracellular lactate in astrocytes but not in neurons. Collectively, these data provide in vivo evidence for a lactate gradient from astrocytes to neurons. This gradient is a prerequisite for a carrier-mediated lactate flux from astrocytes to neurons and thus supports the astrocyte-neuron lactate shuttle model, in which astrocyte-derived lactate acts as an energy substrate for neurons.
Copyright © 2016 Elsevier Inc. All rights reserved.
Comment in
- Are Astrocytes the Pressure-Reservoirs of Lactate in the Brain?
Kasparov S. Kasparov S. Cell Metab. 2016 Jan 12;23(1):1-2. doi: 10.1016/j.cmet.2015.11.001. Epub 2015 Nov 19. Cell Metab. 2016. PMID: 26698916
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