The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Non-Canonical Control of Neuronal Energy Status by the Na+ Pump
Open accessAbstract
Neurons have limited intracellular energy stores but experience acute and unpredictable increases in energy demand. To better understand how these cells repeatedly transit from a resting to active state without undergoing metabolic stress, we monitored their early metabolic response to neurotransmission using ion-sensitive probes and FRET sensors in vitro and in vivo. A short theta burst triggered immediate Na+ entry, followed by a delayed stimulation of the Na+/K+ ATPase pump. Unexpectedly, cytosolic ATP and ADP levels were unperturbed across a wide range of physiological workloads, revealing strict flux coupling between the Na+ pump and mitochondria. Metabolic flux measurements revealed a "priming" phase of mitochondrial energization by pyruvate, whereas glucose consumption coincided with delayed Na+ pump stimulation. Experiments revealed that the Na+ pump plays a permissive role for mitochondrial ATP production and glycolysis. We conclude that neuronal energy homeostasis is not mediated by adenine nucleotides or by Ca 2+, but by a mechanism commanded by the Na+ pump.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Indeed, in vitro studies have shown that neuronal ATP levels decrease only under hyperexcitation induced by strong electrical stimulation or exogenous glutamate exposure, or following pharmacological inhibition of mitochondrial ATP production pathways20–22.”
From Energy paradox in REM sleep: balancing supply and consumption in brain metabolism (2026) · cites this paper as [22]
In the citing paper
“Consistent with these findings, in vivo studies have demonstrated that neuronal ATP levels remain stable in response to mild sensory stimuli in mice22, while a marked reduction in ATP levels is observed during epileptic seizure activity3.”
From Energy paradox in REM sleep: balancing supply and consumption in brain metabolism (2026) · cites this paper as [22]
Citations
Cites
AMPK: a nutrient and energy sensor that maintains energy homeostasis
Hardie, D. G., Ross, F. A., & Hawley, S. A. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3311 · Cited by 4,602
Pellerin, L., & Magistretti, P. J. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.22.10625 · Cited by 2,927
Assessing mitochondrial dysfunction in cells
Brand, M. D., & Nicholls, D. G. (2011) · Biochemical Journal · doi:10.1042/bj20110162 · Cited by 2,436
The Respiratory Chain and Oxidative Phosphorylation
Chance, B., & Williams, G. R. (1956) · Advances in enzymology and related areas of molecular biology/Advances in enzymology and related subjects · doi:10.1002/9780470122624.ch2 · Cited by 2,084
Synaptic Energy Use and Supply
Harris, J. J., Jolivet, R., & Attwell, D. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.019 · Cited by 1,747
ScanImage: Flexible software for operating laser scanning microscopes
Pologruto, T. A., Sabatini, B. L., & Svoboda, K. (2003) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-2-13 · Cited by 1,300
Imamura, H., Nhat, K. P. H., Togawa, H., Saito, K., Iino, R., Kato‐Yamada, Y., Nagai, T., & Noji, H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904764106 · Cited by 1,089
Regulation of mitochondrial dehydrogenases by calcium ions
Denton, R. M. (2009) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/j.bbabio.2009.01.005 · Cited by 885
Herrero-Mendez, A., Almeida, A., Fernández, E., Maestre, C., Moncada, S., & Bolaños, J. P. (2009) · Nature Cell Biology · doi:10.1038/ncb1881 · Cited by 844
Activity-driven local ATP synthesis is required for synaptic function
Rangaraju, V., Calloway, N., & Ryan, T. A. (2014) · Cell · doi:10.1016/j.cell.2013.12.042 · Cited by 836
Cited by
Sorted by citations
Astrocyte-neuron metabolic cooperation shapes brain activity
Bonvento, G., & Bolaños, J. P. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.07.006 · Cited by 580
Contreras‐Baeza, Y., Sandoval, P. Y., Alarcón, R., Galaz, A., Cortés‐Molina, F., Alegría, K., Baeza‐Lehnert, F., Arce‐Molina, R., Guequén, A., Flores, C. A., et al. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.ra119.009093 · Cited by 218
Self-citationWei, Y., Miao, Q., Zhang, Q., Mao, S., Li, M., Xu, X., Xia, X., Wei, K., Fan, Y., Zheng, X., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01476-4 · Cited by 153
Vergara, R. C., Jaramillo-Riveri, S., Luarte, A., Moënne‐Loccoz, C., Fuentes, R., Couve, A., & Maldonado, P. (2019) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00049 · Cited by 149
Oligodendrocyte–axon metabolic coupling is mediated by extracellular K+ and maintains axonal health
Looser, Z. J., Faik, Z., Ravotto, L., Zanker, H. S., Jung, R. B., Werner, H. B., Ruhwedel, T., Möbius, W., Bergles, D. E., Barros, L. F., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-023-01558-3 · Cited by 130
Self-citationArce‐Molina, R., Cortés‐Molina, F., Sandoval, P. Y., Galaz, A., Alegría, K., Schirmeier, S., Barros, L. F., & Martín, A. S. (2020) · eLife · doi:10.7554/elife.53917 · Cited by 102
Self-citationDíaz‐García, C. M., Meyer, D. J., Nathwani, N., Rahman, M., Martínez‐François, J. R., & Yellen, G. (2021) · eLife · doi:10.7554/elife.64821 · Cited by 98
Neocortex saves energy by reducing coding precision during food scarcity
Padamsey, Z., Katsanevaki, D., Dupuy, N., & Rochefort, N. L. (2021) · Neuron · doi:10.1016/j.neuron.2021.10.024 · Cited by 97
Fluorescent Biosensors for Neuronal Metabolism and the Challenges of Quantitation
Koveal, D., Díaz‐García, C. M., & Yellen, G. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.02.011 · Cited by 77
Aerobic Glycolysis in the Brain: Warburg and Crabtree Contra Pasteur
Barros, L. F., Ruminot, I., Martín, A. S., Lerchundi, R., Fernández‐Moncada, I., & Baeza‐Lehnert, F. (2020) · Neurochemical Research · doi:10.1007/s11064-020-02964-w · Cited by 77
Self-citationLactate Attenuates Synaptic Transmission and Affects Brain Rhythms Featuring High Energy Expenditure
Hollnagel, J., Cesetti, T., Schneider, J., Vazetdinova, A., Valiullina, F., Lewen, A., Rozov, A. V., & Kann, O. (2020) · iScience · doi:10.1016/j.isci.2020.101316 · Cited by 66
Phosphorylation of pyruvate dehydrogenase inversely associates with neuronal activity
Yang, D. U., Wang, Y., Qi, T., Zhang, X., Shen, L., Ma, J., Pang, Z., Lal, N. K., McClatchy, D. B., Seradj, S. H., et al. (2024) · Neuron · doi:10.1016/j.neuron.2023.12.015 · Cited by 56
Intracellular ATP levels in mouse cortical excitatory neurons varies with sleep–wake states
Natsubori, A., Tsunematsu, T., Karashima, A., Imamura, H., Kabe, N., Trevisiol, A., Hirrlinger, J., Kodama, T., Sanagi, T., Masamoto, K., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-01215-6 · Cited by 54
Self-citationOrganization of a functional glycolytic metabolon on mitochondria for metabolic efficiency
Wang, H., Vant, J., Zhang, A., Sánchez, R. G., Wu, Y., Micou, M. L., Luczak, V., Whiddon, Z. D., Carlson, N. M., Yu, S. B., et al. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01121-9 · Cited by 62
Live cell imaging of signaling and metabolic activities
Depaoli, M. R., Bischof, H., Eroğlu, E., Burgstaller, S., Ramadani‐Muja, J., Rauter, T., Schinagl, M., Waldeck‐Weiermair, M., Hay, J., Graier, W. F., et al. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.06.003 · Cited by 53
Gerkau, N. J., Lerchundi, R., Nelson, J. S. E., Lantermann, M., Meyer, J., Hirrlinger, J., & Rose, C. R. (2019) · The Journal of Physiology · doi:10.1113/jp278658 · Cited by 49
Self-citationRestoration of metal homeostasis: a potential strategy against neurodegenerative diseases
Zhang, Y., Li, X., Ren, K., Peng, J., & Luo, X. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101931 · Cited by 46
Lactate as a determinant of neuronal excitability, neuroenergetics and beyond
Cauli, B., Dusart, I., & Li, D. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106207 · Cited by 50
Astrocytic GLUT1 reduction paradoxically improves central and peripheral glucose homeostasis
Ardanaz, C. G., de la Cruz, A., Minhas, P. S., Hernández‐Martín, N., Pozo, M. A., Valdecantos, M. P., Valverde, Á. M., Villa, P., Elizalde-Horcada, M., Puerta, E., et al. (2024) · Science Advances · doi:10.1126/sciadv.adp1115 · Cited by 50
Yang, W., Pang, D., Chen, M., Du, C., Jia, L., Wang, L., He, Y., Jiang, W., Luo, L., Yu, Z., et al. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.02.022 · Cited by 47
Metabolic Recruitment in Brain Tissue
Barros, L. F., Ruminot, I., Sotelo-Hitschfeld, T., Lerchundi, R., & Fernández‐Moncada, I. (2022) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021422-091035 · Cited by 43
Self-citationKolář, D., Kletečková, L., Brožka, H., & Valeš, K. (2021) · Neuroscience Letters · doi:10.1016/j.neulet.2021.136003 · Cited by 46
Neuronal lactate levels depend on glia‐derived lactate during high brain activity in Drosophila
González‐Gutiérrez, A., Ibacache, A., Esparza, A., Barros, L. F., & Sierralta, J. A. (2019) · Glia · doi:10.1002/glia.23772 · Cited by 49
Self-citationLerchundi, R., Huang, N., & Rose, C. R. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00080 · Cited by 45
Roumes, H., Jollé, C., Blanc, J., Benkhaled, I., Chatain, C. P., Massot, P., Raffard, G., Bouchaud, V., Biran, M., Pythoud, C., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2112466118 · Cited by 46
Bolaños, J. P., & Magistretti, P. J. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01404-9 · Cited by 46
The Na(+)/K(+) pump dominates control of glycolysis in hippocampal dentate granule cells
Meyer, D. J., Díaz-García, C. M., Nathwani, N., Rahman, M., & Yellen, G. (2022) · eLife · doi:10.7554/elife.81645 · Cited by 40
Pérez-Liébana, I., Juaristi, I., González‐Sánchez, P., González-Moreno, L., Rial, E., Podunavac, M., Zakarian, A., Molgó, J., Vallejo‐Illarramendi, A., Mosqueira‐Martín, L., et al. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1463-21.2022 · Cited by 39
Neural Metabolic Networks: Key Elements of Healthy Brain Function
Madrer, N., Perera, N. D., Uccelli, N. A., Abbondanza, A., Andersen, J. V., Carsana, E. V., Demmings, M. D., Fernandez, R. F., de Fragas, M. G., Gbadamosi, I., et al. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70084 · Cited by 37
Control of Ca2+ and metabolic homeostasis by the Na+/Ca2+ exchangers (NCXs) in health and disease
Rodrigues, T., Piccirillo, S., Magi, S., Preziuso, A., Ramos, V. D. S., Serfilippi, T., Orciani, M., Alvarez, M. M. P., Tersariol, I. L. S., Amoroso, S., et al. (2022) · Biochemical Pharmacology · doi:10.1016/j.bcp.2022.115163 · Cited by 33
Neuronal activity-driven O-GlcNAcylation promotes mitochondrial plasticity
Yu, S. B., Wang, H., Sánchez, R. G., Carlson, N. M., Nguyen, K. Q., Zhang, A. J., Papich, Z. D., Abushawish, A. A., Whiddon, Z. D., Matysik, W., et al. (2024) · Developmental Cell · doi:10.1016/j.devcel.2024.05.008 · Cited by 31
Köhler, S., Winkler, U., Junge, T., Lippmann, K., Eilers, J., & Hirrlinger, J. (2022) · Glia · doi:10.1002/glia.24268 · Cited by 33
Self-citationThe Astrocyte: Metabolic Hub of the BrainPreprint
Barros, L. F., Schirmeier, S., & Weber, B. (2024) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a041355 · Cited by 34
Self-citationTodorova, V., Stauffacher, M. F., Ravotto, L., Nötzli, S., Karademir, D., Ebner, L. J. A., Imsand, C., Merolla, L., Hauck, S. M., Samardzija, M., et al. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00602-x · Cited by 32
Self-citationHormonal regulation of Na+-K+-ATPase from the evolutionary perspective
Pirkmajer, S., & Chibalin, A. (2019) · Current topics in membranes · doi:10.1016/bs.ctm.2019.01.009 · Cited by 29
Fluid Brain Glycolysis: Limits, Speed, Location, Moonlighting, and the Fates of Glycogen and Lactate
Barros, L. F., Martín, A. S., Ruminot, I., Sandoval, P. Y., Baeza‐Lehnert, F., Arce‐Molina, R., Rauseo, D., Contreras‐Baeza, Y., Galaz, A., & Valdivia, S. (2020) · Neurochemical Research · doi:10.1007/s11064-020-03005-2 · Cited by 27
Self-citationMartín, A. S., Arce‐Molina, R., Aburto, C., Baeza‐Lehnert, F., Barros, L. F., Contreras‐Baeza, Y., Pinilla, A., Ruminot, I., Rauseo, D., & Sandoval, P. Y. (2022) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2022.02.012 · Cited by 28
Self-citationAcevedo, A., Torres, F., Kiwi, M., Baeza‐Lehnert, F., Barros, L. F., Lee‐Liu, D., & González-Billault, C. E. (2023) · Aging · doi:10.18632/aging.204663 · Cited by 27
Self-citationMetabolism of Stem and Progenitor Cells: Proper Methods to Answer Specific Questions
Martano, G., Borroni, E. M., Lopci, E., Cattaneo, M. G., Mattioli, M., Bachi, A., Decimo, I., & Bifari, F. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00151 · Cited by 24
Mitochondrial Ca2+ efflux controls neuronal metabolism and long-term memory across species
Vishwanath, A. A., Comyn, T., Mira, R. G., Brossier, C., Pascual-Caro, C., Faour, M., Boumendil, K., Chintaluri, C., Ramon‐Duaso, C., Fan, R., et al. (2026) · Nature Metabolism · doi:10.1038/s42255-026-01451-w · Cited by 28
Koveal, D. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15878 · Cited by 25
Differential role of neuronal glucose and PFKFB3 in memory formation during development
Cruz, E., Bessières, B., Magistretti, P. J., & Alberini, C. M. (2022) · Glia · doi:10.1002/glia.24248 · Cited by 24
Bidirectional astrocytic GLUT1 activation by elevated extracellular K+
Fernández‐Moncada, I., Robles-Maldonado, D., Castro, P. A., Alegría, K., Epp, R., Ruminot, I., & Barros, L. F. (2020) · Glia · doi:10.1002/glia.23944 · Cited by 23
Self-citationFardet, T., & Levina, A. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008503 · Cited by 23
Pape, N., & Rose, C. R. (2023) · The Journal of Physiology · doi:10.1113/jp284430 · Cited by 21
Enlightening brain energy metabolism
Barros, L. F., Ruminot, I., Sandoval, P. Y., & Martín, A. S. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106211 · Cited by 17
Self-citationBreakdown and repair of metabolism in the aging brain
Shichkova, P., Coggan, J. S., Kanari, L., Boci, E., Favreau, C., Antonel, S., Keller, D. X., & Markram, H. (2025) · Frontiers in Science · doi:10.3389/fsci.2025.1441297 · Cited by 22
Liu, T., Huang, S., Li, Z., Li, J., Sun, Q., Wang, Q., Shen, Z., Xia, Z., Meng, F., Xu, Y., et al. (2025) · Cancer Research · doi:10.1158/0008-5472.can-25-0433 · Cited by 20
Astroglial CB1 receptors, energy metabolism, and gliotransmission: an integrated signaling system?
Fernández‐Moncada, I., & Marsicano, G. (2023) · Essays in Biochemistry · doi:10.1042/ebc20220089 · Cited by 18
Contreras‐Baeza, Y., Ceballo, S., Arce‐Molina, R., Sandoval, P. Y., Alegría, K., Barros, L. F., & Martín, A. S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0224527 · Cited by 19
Self-citationA Dual Nanosensor Approach to Determine the Cytosolic Concentration of ATP in Astrocytes
Köhler, S., Schmidt, H., Fülle, P., Hirrlinger, J., & Winkler, U. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.565921 · Cited by 19
Self-citationControl of cardiac contraction by sodium: Promises, reckonings, and new beginnings
Hilgemann, D. W. (2019) · Cell Calcium · doi:10.1016/j.ceca.2019.102129 · Cited by 17
Inhibition of ATP-sensitive potassium channels exacerbates anoxic coma inLocusta migratoria
Dusen, R. A. V., Shuster-Hyman, H., & Robertson, R. M. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00379.2020 · Cited by 17
Spreading depolarizations exhaust neuronal ATP in a model of cerebral ischemia
Schoknecht, K., Baeza‐Lehnert, F., Hirrlinger, J., Dreier, J. P., & Eilers, J. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2415358122 · Cited by 16
Self-citationArai, S., Itoh, H., Vu, C. Q., Nguyen, L. T. N., Nakayama, M., Oshima, M., Morita, A., Okamoto, K., Okuda, S., Teranishi, A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-64946-2 · Cited by 15
Климанова, Е. А., Sidorenko, S. V., Tverskoi, A. M., Shiyan, A. A., Smolyaninova, L. V., Капилевич, Л. В., Gusakova, S. V., Maksimov, G. V., Lopina, O. D., & Orlov, S. N. (2019) · Biochemistry (Moscow) · doi:10.1134/s0006297919110063 · Cited by 13
Ion gradient-driven bifurcations of a multi-scale neuronal model
Chesebro, A. G., Mujica-Parodi, L. R., & Weistuch, C. (2023) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2023.113120 · Cited by 12
Trull, K. J., Miller, P. R., Tat, K., Varney, S. A., Conley, J. M., & Tantama, M. (2019) · Sensors · doi:10.3390/s19153253 · Cited by 12
Dynamics of Neuronal and Astrocytic Energy Molecules in Epilepsy
Furukawa, K., Ikoma, Y., Niino, Y., Hiraoka, Y., Tanaka, K., Miyawaki, A., Hirrlinger, J., & Matsui, K. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70044 · Cited by 11
Self-citationNeuronal MCT2 promotes angiogenesis via lactate in the developing mouse neocortex
Lee, D., Wu, A., Yao, L., Satish, S., Mei, L., & Xiong, W. (2025) · Cell Death and Differentiation · doi:10.1038/s41418-025-01581-w · Cited by 13
ATP Metabolism of Astrocytes: Consumption, Regeneration and Restoration
Dringen, R., Karger, G., Winkler, U., & Hirrlinger, J. (2025) · Neurochemical Research · doi:10.1007/s11064-025-04604-7 · Cited by 14
Self-citationExtracellular lactate as an alternative energy source for retinal bipolar cells
Calbiague, V., Chen, Y., Cádiz, B., Tapia, F., Paquet‐Durand, F., & Schmachtenberg, O. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.106794 · Cited by 8
Li, H., Liuha, X., Chen, R., Xiao, Y., Xu, W., Zhou, Y., Bai, L., Zhang, J., Zhao, Y., Zhao, Y., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114529 · Cited by 9
Measuring enzyme activities in crude homogenates: Na+/K+-ATPase as a case study in optimizing assays
Moyes, C. D., Dastjerdi, S. H., & Robertson, R. M. (2021) · Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology · doi:10.1016/j.cbpb.2021.110577 · Cited by 9
Guan, H., Lin, H., Wang, X., Xu, Y., Zheng, Y., Zhou, X. C., Diao, X., Ye, Z., & Xiao, J. (2022) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2022.175237 · Cited by 8
Yang, L., Jia, C., Xie, B., Chen, M., Cheng, X., Chen, X., Dong, W., Zhou, J., & Jiang, M. (2024) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.3c08724 · Cited by 9
Söder, L., Baeza‐Lehnert, F., Khodaie, B., Elgez, A., Noack, L., Lewen, A., Hallermann, S., Poschet, G., Borges, K., & Kann, O. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70251 · Cited by 8
Self-citationExtending the integrate‐and‐fire model to account for metabolic dependencies
Jaras, I., Harada, T., Orchard, M. E., Maldonado, P., & Vergara, R. C. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15326 · Cited by 8
Various Dynamics of Amplitude Regulation Within a Class of 3D Rulkov Neurons
Li, Y., Li, C., Tang, Q.-Y., Gao, Y., & Lei, T. (2024) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2024.3438357 · Cited by 7
Scale-spanning crosstalk between metabolism and information processing
Barros, L. F., Fernández‐Moncada, I., Marsicano, G., Ruminot, I., Saab, A. S., & Weber, B. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.10.012 · Cited by 8
Self-citationA Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation
Shichkova, P., Coggan, J. S., Markram, H., & Keller, D. X. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.604559 · Cited by 7
Actin cytoskeletal dynamics do not impose an energy drain on growth cone bioenergetics
Holland, S. M., & Gallo, G. (2023) · Journal of Cell Science · doi:10.1242/jcs.261356 · Cited by 6
MCT4 is a high affinity transporter capable of exporting lactate in high-lactate environmentsPreprint
Contreras‐Baeza, Y., Sandoval, P. Y., Alarcón, R. D., Galaz, A., Cortés‐Molina, F., Alegría, K., Baeza‐Lehnert, F., Arce‐Molina, R., Guequén, A., Flores, C. A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/586966 · Cited by 7
Self-citationAburto, C., Parada‐Goddard, V., & Martín, A. S. (2025) · British Journal of Pharmacology · doi:10.1111/bph.70246 · Cited by 5
Activity-dependent protein synthesis in neurons requires microglial-metabolic coupling
Adler, D. I., Martín‐Ávila, A., Cheng, E., Oliveira, M. M., Zhang, M., Evans, H. T., Yuan, D., Sam, R., Zhang, N., Sellés, M. C., et al. (2026) · Cell Metabolism · doi:10.1016/j.cmet.2026.05.006 · Cited by 7
A power-adaptive neuron model and circuit implementation
Li, X., Sun, J., Sun, Y., & Zhang, J. (2024) · Nonlinear Dynamics · doi:10.1007/s11071-024-10405-4 · Cited by 6
Monocarboxylate Transport in Drosophila Larval Brain during Low and High Neuronal ActivityPreprint
González‐Gutiérrez, A., Ibacache, A., Esparza, A., Barros, L. F., & Sierralta, J. A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/610196 · Cited by 6
Self-citationWang, Z., Zhao, C., Xu, S., Zhao, M., McCracken, S., Apte, R. S., & Williams, P. R. (2026) · Nature Communications · doi:10.1038/s41467-026-71106-7 · Cited by 5
Ketosis regulates K+ ion channels, strengthening brain-wide signaling disrupted by age
van Nieuwenhuizen, H., Chesebro, A. G., Polizu, C., Clarke, K., Strey, H. H., Weistuch, C., & Mujica-Parodi, L. R. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00163 · Cited by 6
Functional Organization of Glycolytic Metabolon on MitochondriaPreprint
Wang, H., Vant, J., Wu, Y., Sánchez, R. G., Micou, M. L., Zhang, A. J., Luczak, V., Yu, S. B., Jabbo, M., Yoon, S., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.26.554955 · Cited by 5
Straub, I., Kunstmann, L., Baeza‐Lehnert, F., Chowdhry, S., Renden, R., Gonzalez‐Aragón, G., Groschup, B., Hofmann, T. F., Jovanović, S., Sonntag, M., et al. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70212 · Cited by 5
Self-citationChowdhury, H. H. (2020) · Biophysical Chemistry · doi:10.1016/j.bpc.2020.106377 · Cited by 4
Jaras, I., Orchard, M. E., Maldonado, P., & Vergara, R. C. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013148 · Cited by 3
Todorova, V., Stauffacher, M. F., Ravotto, L., Nötzli, S., Karademir, D., Ebner, L. J. A., Imsand, C., Hauck, S. M., Samardzija, M., Saab, A. S., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-2080894/v1 · Cited by 4
Self-citationArdanaz, C. G., de la Cruz, A., Elizalde-Horcada, M., Puerta, E., Ramírez, M. J., Ortega, J. E., Urbiola, A., Ederra, C., Ariz, M., Ortíz-de-Solórzano, C., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.06.511112 · Cited by 4
A dual emission ratiometric nanothermometer for evaluating cell temperature during energy metabolism
Yin, N., Wang, X., Shu, Y., & Wang, J. (2025) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2025.126163 · Cited by 3
Chavda, V. K., & Patel, S. (2022) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527321666220609200852 · Cited by 3
Impairment of the blood-brain barrier accelerates a negative ultraslow potential in the locust CNS
Robertson, R. M., Donini, A., & Wang, Y. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00191.2025 · Cited by 2
Sex-specific resilience of neocortex to food restriction
Padamsey, Z., Katsanevaki, D., Maeso, P. A., Rizzi, M., Osterweil, E. K., & Rochefort, N. L. (2024) · eLife · doi:10.7554/elife.93052.3 · Cited by 2
Challenges and Frontiers in Computational Metabolic Psychiatry
Chesebro, A. G., Antal, B. B., Weistuch, C., & Mujica-Parodi, L. R. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.10.011 · Cited by 2
Variable bioenergetic sensitivity of neurons and astrocytes to insulin and extracellular glucose
Sims, S. L., Frazier, H. N., Case, S. L., Lin, R., Trosper, J. N., Vekaria, H. J., Sullivan, P. G., & Thibault, O. (2024) · npj Metabolic Health and Disease · doi:10.1038/s44324-024-00037-y · Cited by 2
Seizure and redox rescue in a model of glucose transport deficiency
Coggan, J. S., Shichkova, P., Markram, H., & Keller, D. X. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012959 · Cited by 2
Perfect energy stability in neurons
Barros, L. F., & Baeza‐Lehnert, F. (2019) · Aging · doi:10.18632/aging.102257 · Cited by 2
Self-citationEnergy paradox in REM sleep: balancing supply and consumption in brain metabolism
Takahashi, Y., Ikoma, Y., & Matsui, K. (2026) · Communications Biology · doi:10.1038/s42003-026-10646-6 · Cited by 1
Holland, S. M., & Gallo, G. (2024) · Neural Regeneration Research · doi:10.4103/1673-5374.392863 · Cited by 1
Smolyaninova, L. V., Shiyan, A. A., Maksimov, G. V., & Orlov, S. N. (2021) · Biochemistry (Moscow) Supplement Series A Membrane and Cell Biology · doi:10.1134/s1990747820050062 · Cited by 1
Lactate’s behavioral switch in the brain: An in-silico model
Soltanzadeh, M., Blanchard, S., Soucy, J., & Benali, H. (2023) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2023.111648 · Cited by 1
González‐Gutiérrez, A., Gaete, J., Esparza, A., Toledo, J. A., Köhler-Solís, A., & Sierralta, J. A. (2023) · Journal of Visualized Experiments · doi:10.3791/65846 · Cited by 1
Sex-specific resilience of neocortex to food restriction
Padamsey, Z., Katsanevaki, D., Maeso, P. A., Rizzi, M., Osterweil, E. K., & Rochefort, N. L. (2023) · eLife · doi:10.7554/elife.93052 · Cited by 2
An expanded palette of ATP sensors for subcellular and multiplexed imagingPreprint
Sahan, A. Z., Youngblood, E., Das, S., Schmitt, D. L., & Zhang, J. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.01.538722 · Cited by 1
Metadata
- Authors
- Baeza-Lehnert, F., Saab, A. S., Gutiérrez, R., Larenas, V., Díaz, E., Horn, M., Vargas, M., Hösli, L., Stobart, J., Hirrlinger, J., Weber, B., & Barros, L. F.
- Affiliations
- University of Zurich (CH)
- Austral University of Chile (CL)
- Centro de Estudios Científicos (CL)
- Max Planck Institute of Experimental Medicine (DE)
- Corresponding author
- Barros, L. Felipe
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 29
- Issue
- 3
- Pages
- 668-680.e4
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2904685632
- Cited by
- 126
- References
- 78
- Citations by year
- 2026: 10 · 2025: 19 · 2024: 25 · 2023: 21 · 2022: 12 · 2021: 12 · 2020: 13 · 2019: 14
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Funders
- FONDECYT (1160317)
- University of Zurich
- National Science Foundation
- Centro de Estudios Científicos
- Chilean Government
- CONICYT
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion Transport and Channel Regulation
- Keywords
- Na+/K+-ATPase, mitochondrial energization, pyruvate, glycolysis, glucose utilization, ATP production, neurotransmission, theta burst stimulation, FRET biosensor, ion sensitive probe
- MeSH terms
- Sodium-Potassium-Exchanging ATPase, Adenosine Triphosphate, Animals, Astrocytes, Energy Metabolism, Glucose, Glycolysis, Homeostasis, Mice, Inbred C57BL, Mitochondria, Neurons
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review