The DOI matches its Crossref record; 317 of the 317 references it cites were found in a registry or an index.
Brain energy rescue: an emerging therapeutic concept for neurodegenerative disorders of ageing
Open accessAbstract
The brain requires a continuous supply of energy in the form of ATP, most of which is produced from glucose by oxidative phosphorylation in mitochondria, complemented by aerobic glycolysis in the cytoplasm. When glucose levels are limited, ketone bodies generated in the liver and lactate derived from exercising skeletal muscle can also become important energy substrates for the brain. In neurodegenerative disorders of ageing, brain glucose metabolism deteriorates in a progressive, region-specific and disease-specific manner - a problem that is best characterized in Alzheimer disease, where it begins presymptomatically. This Review discusses the status and prospects of therapeutic strategies for countering neurodegenerative disorders of ageing by improving, preserving or rescuing brain energetics. The approaches described include restoring oxidative phosphorylation and glycolysis, increasing insulin sensitivity, correcting mitochondrial dysfunction, ketone-based interventions, acting via hormones that modulate cerebral energetics, RNA therapeutics and complementary multimodal lifestyle changes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source says what the claim attributes to it.
In the citing paper
“The brain alone consumes 20% of the total energy required by the body, and central nervous system (CNS) mitochondria meet a majority of this massive energy requirement for the brain”
From Mitochondrial DNA Damage in Substantia Nigra Pars Compacta Astrocytes Exacerbates Dopaminergic Neuron Loss in a 6-Hydroxydopamine Mouse Model of Parkinsonism (2026) · cites this paper as Cunnane et al. 2020
In the citing paper
“impaired brain energetics is a core feature across neurodegenerative diseases, including AD, PD, ALS, FTD, and HD.”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [574]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes
Wiviott, S. D., Raz, I., Bonaca, M. P., Mosenzon, O., Kato, E. T., Cahn, A., Silverman, M. G., Zelniker, T. A., Kuder, J. F., Murphy, S. A., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1812389 · Cited by 6,382
AMPK: guardian of metabolism and mitochondrial homeostasis
Herzig, S., & Shaw, R. J. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.95 · Cited by 4,192
Ngandu, T., Lehtisalo, J., Solomon, A., Levälahti, E., Ahtiluoto, S., Antikainen, R., Bäckman, L., Hänninen, T., Jula, A., Laatikainen, T., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60461-5 · Cited by 3,689
The mechanisms of action of metformin
Rena, G., Hardie, D. G., & Pearson, E. R. (2017) · Diabetologia · doi:10.1007/s00125-017-4342-z · Cited by 2,287
Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease
Butterfield, D. A., & Halliwell, B. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0132-6 · Cited by 1,954
Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums
Arnold, S. E., Arvanitakis, Z., Macauley-Rambach, S. L., Koenig, A. M., Wang, H.-Y., Ahima, R. S., Craft, S., Gandy, S., Buettner, C., Stoeckel, L. E., et al. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.185 · Cited by 1,597
Disease-Associated Microglia: A Universal Immune Sensor of Neurodegeneration
Deczkowska, A., Keren-Shaul, H., Weiner, A., Colonna, M., Schwartz, M., & Amit, I. (2018) · Cell · doi:10.1016/j.cell.2018.05.003 · Cited by 1,474
Nusinersen versus Sham Control in Later-Onset Spinal Muscular Atrophy
Mercuri, E., Darras, B. T., Chiriboga, C. A., Day, J. W., Campbell, C., Connolly, A. M., Iannaccone, S. T., Kirschner, J., Kuntz, N. L., Saito, K., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1710504 · Cited by 1,433
Lactate in the brain: from metabolic end-product to signalling molecule
Magistretti, P. J., & Allaman, I. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.19 · Cited by 1,298
Lifestyle interventions to prevent cognitive impairment, dementia and Alzheimer disease
Kivipelto, M., Mangialasche, F., & Ngandu, T. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0070-3 · Cited by 1,173
The Gut Microbiota Mediates the Anti-Seizure Effects of the Ketogenic Diet
Olson, C. A., Vuong, H. E., Yano, J. M., Liang, Q. Y., Nusbaum, D. J., & Hsiao, E. Y. (2018) · Cell · doi:10.1016/j.cell.2018.04.027 · Cited by 1,057
Johnson, E. C. B., Dammer, E. B., Duong, D. M., Ping, L., Zhou, M., Yin, L., Higginbotham, L. A., Guajardo, A., White, B., Troncoso, J. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0815-6 · Cited by 1,001
Myelination of the Nervous System: Mechanisms and Functions
Nave, K.-A., & Werner, H. B. (2014) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100913-013101 · Cited by 983
Self-citationSaudou, F., & Humbert, S. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.003 · Cited by 945
Self-citationExercise-linked FNDC5/irisin rescues synaptic plasticity and memory defects in Alzheimer’s models
Lourenco, M. V., Frozza, R. L., de Freitas, G. B., Zhang, H., Kincheski, G. C., Ribeiro, F. C., Gonçalves, R. A., Clarke, J. R., Beckman, D., Staniszewski, A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0275-4 · Cited by 935
Brain Glucose Metabolism: Integration of Energetics with Function
Dienel, G. A. (2018) · Physiological Reviews · doi:10.1152/physrev.00062.2017 · Cited by 911
Mitochondria as a therapeutic target for common pathologies
Murphy, M. P., & Hartley, R. C. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.174 · Cited by 846
Self-citationMulti-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognition
Martorell, A. J., Paulson, A. L., Suk, H.-J., Abdurrob, F., Drummond, G. T., Guan, W., Young, J. Z., Kim, D. N.-W., Kritskiy, O., Barker, S. J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.014 · Cited by 798
Physical activity and muscle-brain crosstalk
Pedersen, B. K. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0174-x · Cited by 772
Brain metabolism in health, aging, and neurodegeneration
Camandola, S., & Mattson, M. P. (2017) · The EMBO Journal · doi:10.15252/embj.201695810 · Cited by 752
Self-citationMetabolic Regulation of Gene Expression by Histone Lysine β-Hydroxybutyrylation
Xie, Z., Zhang, D., Chung, D., Tang, Z., Huang, H., Dai, L., Qi, S., Li, J., Colak, G., Chen, Y., et al. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.03.036 · Cited by 744
Ferrannini, E., Baldi, S., Frascerra, S., Astiarraga, B., Heise, T., Bizzotto, R., Mari, A., Pieber, T. R., & Muscelli, E. (2016) · Diabetes · doi:10.2337/db15-1356 · Cited by 725
Vascular dysfunction—The disregarded partner of Alzheimer's disease
Sweeney, M. D., Montagne, A., Sagare, A. P., Nation, D. A., Schneider, L. S., Chui, H. C., Harrington, M. G., Pa, J., Law, M., Wang, D. J. J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.222 · Cited by 711
Disturbed mitochondrial dynamics and neurodegenerative disorders
Burté, F., Carelli, V., Chinnery, P. F., & Yu‐Wai‐Man, P. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2014.228 · Cited by 686
AUTACs: Cargo-Specific Degraders Using Selective Autophagy
Takahashi, D., Moriyama, J., Nakamura, T., Miki, E., Takahashi, E., Sato, A., Akaike, T., Itto-Nakama, K., & Arimoto, H. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.09.009 · Cited by 675
Shining light on the head: Photobiomodulation for brain disorders
Hamblin, M. R. (2016) · BBA Clinical · doi:10.1016/j.bbacli.2016.09.002 · Cited by 644
Enhancing mitochondrial proteostasis reduces amyloid-β proteotoxicity
Sorrentino, V., Romani, M., Mouchiroud, L., Beck, J. S., Zhang, H., D’Amico, D., Moullan, N., Potenza, F., Schmid, A. W., Rietsch, S., et al. (2017) · Nature · doi:10.1038/nature25143 · Cited by 630
Intermittent metabolic switching, neuroplasticity and brain health
Mattson, M. P., Moehl, K., Ghena, N., Schmaedick, M., & Cheng, A. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.156 · Cited by 624
Self-citationPerimenopause as a neurological transition state
Brinton, R. D., Yao, J., Yin, F., Mack, W. J., & Cadenas, E. (2015) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.82 · Cited by 612
Self-citationDistinct Profiles of Myelin Distribution Along Single Axons of Pyramidal Neurons in the Neocortex
Tomassy, G. S., Berger, D. R., Chen, H.-H., Kasthuri, N., Hayworth, K. J., Vercelli, A., Seung, H. S., Lichtman, J. W., & Arlotta, P. (2014) · Science · doi:10.1126/science.1249766 · Cited by 600
Oligodendroglial NMDA receptors regulate glucose import and axonal energy metabolism
Saab, A. S., Tzvetavona, I. D., Trevisiol, A., Baltan, S., Dibaj, P., Kusch, K., Möbius, W., Goetze, B., Jahn, H. M., Huang, W., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.05.016 · Cited by 590
Self-citationGDF15 mediates the effects of metformin on body weight and energy balance
Coll, A. P., Chen, M., Taskar, P., Rimmington, D., Patel, S., Tadross, J. A., Cimino, I., Yang, M., Welsh, P., Virtue, S., et al. (2020) · Nature · doi:10.1038/s41586-019-1911-y · Cited by 584
Promoting the clearance of neurotoxic proteins in neurodegenerative disorders of ageing
Boland, B., Yu, W. H., Corti, O., Mollereau, B., Henriques, A., Bézard, E., Pastores, G., Rubinsztein, D. C., Nixon, R. A., Duchen, M. R., et al. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.109 · Cited by 566
Self-citationMetabolic syndrome in psychiatric patients: overview, mechanisms, and implications
Penninx, B. W. J. H., & Lange, S. M. M. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.1/bpenninx · Cited by 566
Exercise induces cerebral VEGF and angiogenesis via the lactate receptor HCAR1
Morland, C., Andersson, K. A., Haugen, Ø. P., Hadzic, A., Kleppa, L., Gille, A., Rinholm, J. E., Palibrk, V., Diget, E. H., Kennedy, L. H., et al. (2017) · Nature Communications · doi:10.1038/ncomms15557 · Cited by 559
Self-citationMookerjee, S. A., Gerencser, A. A., Nicholls, D. G., & Brand, M. D. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.774471 · Cited by 550
Henderson, S. T., Vogel, J. L., Barr, L. J., Garvin, F., Jones, J. J., & Costantini, L. C. (2009) · Nutrition & Metabolism · doi:10.1186/1743-7075-6-31 · Cited by 548
Alzheimer's disease as homeostatic responses to age-related myelin breakdown
Bartzokis, G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.08.007 · Cited by 546
El Hayek, L., Khalifeh, M., Zibara, V., Abi Assaad, R., Emmanuel, N., Karnib, N., El-Ghandour, R., Nasrallah, P., Bilen, M., Ibrahim, P., et al. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.1661-18.2019 · Cited by 539
Evidence for brain glucose dysregulation in Alzheimer's disease
An, Y., Varma, V. R., Varma, S., Casanova, R., Dammer, E. B., Pletniková, O., Chia, C. W., Egan, J. M., Ferrucci, L., Troncoso, J. C., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.09.011 · Cited by 522
Effects of β-hydroxybutyrate on cognition in memory-impaired adults
Reger, M. A., Henderson, S. T., Hale, C. M., Cholerton, B., Baker, L. D., Watson, G. S., Hyde, K., Chapman, D., & Craft, S. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(03)00087-3 · Cited by 510
D-β-Hydroxybutyrate rescues mitochondrial respiration and mitigates features of Parkinson disease
Tieu, K., Perier, C., Caspersen, C., Teismann, P., Wu, D.-C., Yan, S.-D., Naini, A., Vila, M., Jackson-Lewis, V., Ramasamy, R., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200318797 · Cited by 497
Gejl, M., Gjedde, A., Egefjord, L., Møller, A., Hansen, S. B., Vang, K., Rodell, A., Brændgaard, H., Gottrup, H., Schacht, A., et al. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00108 · Cited by 480
Hou, Y., Lautrup, S., Cordonnier, S., Wang, Y., Croteau, D. L., Zavala, E., Zhang, Y., Moritoh, K., O’Connell, J. F., Baptiste, B. A., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718819115 · Cited by 472
Self-citationApoE4: an emerging therapeutic target for Alzheimer’s disease
Safieh, M., Korczyn, A. D., & Michaelson, D. M. (2019) · BMC Medicine · doi:10.1186/s12916-019-1299-4 · Cited by 449
McManus, M. J., Murphy, M. P., & Franklin, J. L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0552-11.2011 · Cited by 432
Self-citationStekovic, S., Hofer, S. J., Tripolt, N., Aon, M. A., Royer, P., Pein, L., Stadler, J. T., Pendl, T., Prietl, B., Url, J., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.07.016 · Cited by 412
An evolutionary perspective on immunometabolism
Wang, A., Luan, H. H., & Medzhitov, R. M. (2019) · Science · doi:10.1126/science.aar3932 · Cited by 398
Athauda, D., & Foltynie, T. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.01.013 · Cited by 383
Metformin treatment prevents amyloid plaque deposition and memory impairment in APP/PS1 mice
Ou, Z., Kong, X., Sun, X., He, X., Zhang, L., Gong, Z., Huang, J., Xu, B., Long, D., Li, J., et al. (2017) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2017.12.009 · Cited by 372
Dietary ketosis enhances memory in mild cognitive impairment
Krikorian, R., Shidler, M. D., Dangelo, K. N., Couch, S. C., Benoit, S. C., & Clegg, D. J. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.10.006 · Cited by 370
Kashiwaya, Y., Bergman, C., Lee, J.-H., Wan, R., King, M. T., Mughal, M. R., Okun, E., Clarke, K., Mattson, M. P., & Veech, R. L. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.11.023 · Cited by 363
Self-citationEffects of the Insulin Sensitizer Metformin in Alzheimer Disease
Koenig, A. M., Mechanic-Hamilton, D. J., Xie, S. X., Combs, M., Cappola, A. R., Xie, L., Detre, J. A., Wolk, D. A., & Arnold, S. E. (2017) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000202 · Cited by 362
Increased risk of cognitive impairment in patients with diabetes is associated with metformin
Moore, E. M., Mander, A. G., Ames, D., Kotowicz, M. A., Carne, R. P., Brodaty, H., Woodward, M., Boundy, K., Ellis, K. A., Bush, A. I., et al. (2013) · Diabetes Care · doi:10.2337/dc13-0229 · Cited by 349
Gong, B., Pan, Y., Vempati, P., Zhao, W., Knable, L., Ho, L., Wang, J., Sastre, M., Ono, K., Sauve, A. A., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.12.005 · Cited by 345
Schöndorf, D. C., Ivanyuk, D., Baden, P., Sanchez-Martinez, A., De Cicco, S., Yu, C., Giunta, I., Schwarz, L. K., Di Napoli, G., Panagiotakopoulou, V., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.05.009 · Cited by 337
Craft, S., Claxton, A., Baker, L. D., Hanson, A. J., Cholerton, B., Trittschuh, E. H., Dahl, D., Caulder, E., Neth, B., Montine, T. J., et al. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-161256 · Cited by 335
GLUT4 Mobilization Supports Energetic Demands of Active Synapses
Ashrafi, G., Wu, Z., Farrell, R. J., & Ryan, T. A. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.020 · Cited by 327
Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes
Baglioni, P. (2019) · New England Journal of Medicine · doi:10.1056/nejmc1902837 · Cited by 324
Loss of Brain Aerobic Glycolysis in Normal Human Aging
Goyal, M. S., Vlassenko, A. G., Blazey, T. M., Su, Y., Couture, L. E., Durbin, T. J., Bateman, R. J., Benzinger, T. L.-S., Morris, J. C., & Raichle, M. E. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.07.010 · Cited by 318
The Therapeutic Potential of Metformin in Neurodegenerative Diseases
Rotermund, C., Machetanz, G., & Fitzgerald, J. C. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00400 · Cited by 316
Ketogenic diet enhances neurovascular function with altered gut microbiome in young healthy mice
Ma, D., Wang, A. C., Parikh, I. J., Green, S. J., Hoffman, J. D., Chlipala, G. E., Murphy, M. P., Sokola, B. S., Bauer, B., Hartz, A. M. S., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-25190-5 · Cited by 315
Self-citationThe Role of Leptin and Adiponectin in Obesity-Associated Cognitive Decline and Alzheimer’s Disease
Forny‐Germano, L., Felice, F. G. D., & Vieira, M. N. N. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.01027 · Cited by 307
Gene therapy for neurological disorders: progress and prospects
Deverman, B. E., Ravina, B. M., Bankiewicz, K. S., Paul, S. M., & Sah, D. W. Y. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.110 · Cited by 306
Bakker, A., Albert, M., Krauss, G. L., Speck, C. L., & Gallagher, M. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.02.009 · Cited by 295
Low-fat versus ketogenic diet in Parkinson's disease: A pilot randomized controlled trial
Phillips, M. C. L., Murtagh, D. K. J., Gilbertson, L. J., Asztely, F. J. S., & Lynch, C. D. P. (2018) · Movement Disorders · doi:10.1002/mds.27390 · Cited by 292
Campbell, J. M., Stephenson, M. D., de Courten, B., Chapman, I., Bellman, S. M., & Aromataris, E. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180263 · Cited by 292
The role of type 2 diabetes in neurodegeneration
Verdile, G., Fuller, S. J., & Martins, R. N. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.04.008 · Cited by 290
Apolipoprotein E4 Impairs Neuronal Insulin Signaling by Trapping Insulin Receptor in the Endosomes
Zhao, N., Liu, C.-C., Van Ingelgom, A. J., Martens, Y. A., Linares, C., Knight, J. A., Painter, M. M., Sullivan, P. M., & Bu, G. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.003 · Cited by 289
Enhancing glycolysis attenuates Parkinson’s disease progression in models and clinical databases
Cai, R., Zhang, Y., Simmering, J. E., Schultz, J. L., Li, Y., Fernandez-Carasa, I., Consiglio, A., Raya, A., Polgreen, P. M., Narayanan, N. S., et al. (2019) · Journal of Clinical Investigation · doi:10.1172/jci129987 · Cited by 286
Luchsinger, J. A., Perez, T., Chang, H., Mehta, P., Steffener, J., Pradabhan, G., Ichise, M., Manly, J., Devanand, D. P., & Bagiella, E. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-150493 · Cited by 285
Feasibility and efficacy data from a ketogenic diet intervention in Alzheimer's disease
Taylor, M., Sullivan, D. K., Mahnken, J. D., Burns, J. M., & Swerdlow, R. H. (2017) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2017.11.002 · Cited by 280
Self-citationThe metabolic face of migraine — from pathophysiology to treatment
Gross, E. C., Martinez, M. L., Fischer, D., Sándor, P. S., & Schoenen, J. E. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0255-4 · Cited by 278
Ota, M., Matsuo, J., Ishida, I., Takano, H., Yokoi, Y., Hori, H., Yoshida, S., Ashida, K., Nakamura, K., Takahashi, T., et al. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2018.10.048 · Cited by 276
Fu, S., Wang, J., Xue, W.-J., Liu, H., Liu, B.-R., Zeng, Y., Li, S., Huang, B., Lv, Q.-K., Wang, W., et al. (2015) · Journal of Neuroinflammation · doi:10.1186/s12974-014-0230-3 · Cited by 271
The interneuron energy hypothesis: Implications for brain disease
Kann, O. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.08.005 · Cited by 270
Self-citationRetinal metabolism: A comparative look at energetics in the retina
Country, M. W. (2017) · Brain Research · doi:10.1016/j.brainres.2017.07.025 · Cited by 266
Unhealthy gut, unhealthy brain: The role of the intestinal microbiota in neurodegenerative diseases
Spielman, L. J., Gibson, D. L., & Klegeris, A. (2018) · Neurochemistry International · doi:10.1016/j.neuint.2018.08.005 · Cited by 266
Energy metabolism in ALS: an underappreciated opportunity?
Vandoorne, T., Bock, K. D., & Bosch, L. V. D. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1835-x · Cited by 260
Mosconi, L., Rahman, A., Diaz, I., Wu, X. L., Scheyer, O., Hristov, H., Vallabhajosula, S., Isaacson, R., de Leon, M. J., & Brinton, R. D. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207885 · Cited by 259
Self-citationBaek, S. H., Park, S. J., Jeong, J. I., Kim, S. H., Han, J., Kyung, J. W., Baik, S.-H., Choi, Y., Choi, B. Y., Park, J. S., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2385-16.2017 · Cited by 258
Croteau, E., Castellano, C. A., Fortier, M., Bocti, C., Fulop, T., Paquet, N., & Cunnane, S. C. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2017.07.004 · Cited by 258
Self-citationVelliquette, R. A., O'Connor, T., & Vassar, R. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2350-05.2005 · Cited by 254
Yuzwa, S. A., & Vocadlo, D. J. (2014) · Chemical Society Reviews · doi:10.1039/c4cs00038b · Cited by 249
Erratum: Gene therapy for neurological disorders: progress and prospects
Deverman, B. E., Ravina, B. M., Bankiewicz, K. S., Paul, S. M., & Sah, D. W. Y. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.158 · Cited by 248
Targeting pericytes for therapeutic approaches to neurological disorders
Cheng, J., Korte, N., Nortley, R., Sethi, H., Tang, Y., & Attwell, D. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1893-0 · Cited by 247
Levine, P. M., Galesic, A., Balana, A. T., Mahul‐Mellier, A., Navarro, M. X., Leon, C. A. D., Lashuel, H. A., & Pratt, M. R. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1808845116 · Cited by 244
Non‐signalling energy use in the brain
Engl, E., & Attwell, D. (2015) · The Journal of Physiology · doi:10.1113/jphysiol.2014.282517 · Cited by 243
Alzheimer’s Disease: From Firing Instability to Homeostasis Network Collapse
Frère, S. G. A., & Slutsky, I. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.028 · Cited by 242
Subjective memory complaints, education, and risk of Alzheimer's disease
van Oijen, M., de Jong, F. J., Hofman, A., Koudstaal, P. J., & Breteler, M. M. B. (2007) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2007.01.011 · Cited by 238
The Role of Insulin/IGF-1/PI3K/Akt/GSK3β Signaling in Parkinson's Disease Dementia
Yang, L., Wang, H., Liu, L., & Xie, A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00073 · Cited by 236
Cunnane, S. C., Courchesne‐Loyer, A., Vandenberghe, C., St‐Pierre, V., Fortier, M., Hennebelle, M., Croteau, É., Bocti, C., Fülöp, T., & Castellano, C. (2016) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2016.00053 · Cited by 224
Self-citationThe Gut Microbiota Mediates the Anti-Seizure Effects of the Ketogenic Diet
Olson, C. A., Vuong, H. E., Yano, J. M., Liang, Q. Y., Nusbaum, D. J., & Hsiao, E. Y. (2018) · Cell · doi:10.1016/j.cell.2018.06.051 · Cited by 224
Zilberter, Y., & Zilberter, M. Y. (2017) · Journal of Neuroscience Research · doi:10.1002/jnr.24064 · Cited by 222
What Happens with the Circuit in Alzheimer's Disease in Mice and Humans?
Zott, B., Busche, M. A., Sperling, R. A., & Konnerth, A. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-061725 · Cited by 221
Fülöp, T., Larbi, A., & Witkowski, J. M. (2019) · Gerontology · doi:10.1159/000497375 · Cited by 221
A ketogenic drink improves brain energy and some measures of cognition in mild cognitive impairment
Fortier, M., Castellano, C., Croteau, É., Langlois, F., Bocti, C., St‐Pierre, V., Vandenberghe, C., Bernier, M., Roy, M., Descoteaux, M., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.12.017 · Cited by 220
Self-citationNeth, B. J., Mintz, A., Whitlow, C. T., Jung, Y., Sai, K. K. S., Register, T. C., Kellar, D., Lockhart, S. N., Hoscheidt, S. M., Maldjian, J. A., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.09.015 · Cited by 219
Self-citationAllele-selective transcriptional repression of mutant HTT for the treatment of Huntington’s disease
Zeitler, B., Froelich, S., Marlen, K., Shivak, D. A., Yu, Q., Li, D., Pearl, J. R., Miller, J. C., Zhang, L., Paschon, D. E., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0478-3 · Cited by 213
Uddin, M. S., Kabir, M. T., Al Mamun, A., Abdel-Daim, M. M., Barreto, G. E., & Ashraf, G. M. (2019) · Molecular Neurobiology · doi:10.1007/s12035-018-1237-z · Cited by 212
Wingo, A. P., Dammer, E. B., Breen, M. S., Logsdon, B. A., Duong, D. M., Troncosco, J. C., Thambisetty, M., Beach, T. G., Serrano, G. E., Reiman, E. M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09613-z · Cited by 211
The energetic brain—A review from students to students
Bordone, M. P., Salman, M. M., Titus, H. E., Amini, E., Andersen, J. V., Chakraborti, B., Diuba, A. V., Dubouskaya, T. G., Ehrke, E., Espindola de Freitas, A., et al. (2019) · Journal of Neurochemistry · doi:10.1111/jnc.14829 · Cited by 205
Hölscher, C. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.01.040 · Cited by 203
Mitochondrial dynamics and transport in Alzheimer's disease
Flannery, P. J., & Trushina, E. V. (2019) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2019.06.009 · Cited by 203
Self-citationJha, M. K., & Morrison, B. M. (2018) · Experimental Neurology · doi:10.1016/j.expneurol.2018.07.009 · Cited by 203
Intermediates of Metabolism: From Bystanders to Signalling Molecules
Haas, R., Cucchi, D., Smith, J., Pucino, V., Macdougall, C. E., & Mauro, C. (2016) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2016.02.003 · Cited by 199
Wu, L., Zhang, X., & Zhao, L. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.2262-17.2018 · Cited by 185
Al-Zaidy, S. A., Kolb, S. J., Lowes, L., Alfano, L. N., Shell, R., Church, K. R., Nagendran, S., Sproule, D. M., Feltner, D. E., Wells, C., et al. (2019) · Journal of Neuromuscular Diseases · doi:10.3233/jnd-190403 · Cited by 185
A Ketogenic Diet Improves Mitochondrial Biogenesis and Bioenergetics via the PGC1α-SIRT3-UCP2 Axis
Hasan‐Olive, M. M., Lauritzen, K. H., Ali, M., Rasmussen, L. J., Storm‐Mathisen, J., & Bergersen, L. H. (2018) · Neurochemical Research · doi:10.1007/s11064-018-2588-6 · Cited by 185
Self-citationThe genetic architecture of mitochondrial dysfunction in Parkinson’s disease
Larsen, S. B., Hanss, Z., & Krüger, R. (2018) · Cell and Tissue Research · doi:10.1007/s00441-017-2768-8 · Cited by 184
Nuriel, T., Angulo, S. L., Khan, U., Ashok, A., Chen, Q., Figueroa, H. Y., Emrani, S., Liu, L., Herman, M., Barrett, G., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01444-0 · Cited by 181
Self-citationDellinger, R. W., Santos, S. R., Morris, M., Evans, M., Alminana, D., Guarente, L., & Marcotulli, E. (2017) · npj Aging and Mechanisms of Disease · doi:10.1038/s41514-017-0016-9 · Cited by 181
Influence of young adult cognitive ability and additional education on later-life cognition
Kremen, W. S., Beck, A., Elman, J. A., Gustavson, D. E., Reynolds, C. A., Tu, X. M., Sanderson-Cimino, M. E., Panizzon, M. S., Vuoksimaa, E., Toomey, R., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1811537116 · Cited by 180
Gundersen, V., Storm‐Mathisen, J., & Bergersen, L. H. (2015) · Physiological Reviews · doi:10.1152/physrev.00024.2014 · Cited by 179
Self-citationGut-Brain Glucose Signaling in Energy Homeostasis
Soty, M., Gautier‐Stein, A., Rajas, F., & Mithieux, G. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.04.032 · Cited by 177
Self-citationIşık, A. T., Soysal, P., Yay, A., & Usarel, C. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.12.010 · Cited by 171
Mańczak, M., Kandimalla, R. J. L., Yin, X., & Reddy, P. H. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy335 · Cited by 170
Courchesne-Loyer, A., Croteau, E., Castellano, C.-A., St-Pierre, V., Hennebelle, M., & Cunnane, S. C. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16669366 · Cited by 169
Self-citationBerman, M. H., Halper, J. P., Nichols, T. W., Jarrett, H., Lundy, A., & Huang, J. H. (2017) · Journal of Neurology and Neuroscience · doi:10.21767/2171-6625.1000176 · Cited by 168
Zambon, F., Cherubini, M., Fernandes, H. J. R., Lang, C., Ryan, B. J., Volpato, V., Bengoa‐Vergniory, N., Vingill, S., Attar, M., Booth, H., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz038 · Cited by 165
Klosinski, L. P., Yao, J., Yin, F., Fonteh, A. N., Harrington, M. G., Christensen, T. A., Trushina, E. V., & Brinton, R. D. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.11.002 · Cited by 163
Self-citationAstrocytic glycogen metabolism in the healthy and diseased brain
Bak, L. K., Walls, A. B., Schousboe, A., & Waagepetersen, H. S. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.r117.803239 · Cited by 163
Bayliss, J. A., Lemus, M. B., Stark, R., dos Santos, V. V., Thompson, A., Rees, D. J., Galić, S., Elsworth, J. D., Kemp, B. E., Davies, J. S., et al. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4373-15.2016 · Cited by 161
Self-citationPage, K. A., Williamson, A., Yu, N., McNay, E. C., Dzuira, J. D., McCrimmon, R. J., & Sherwin, R. S. (2009) · Diabetes · doi:10.2337/db08-1557 · Cited by 159
Microglia-Specific Metabolic Changes in Neurodegeneration
Aldana, B. I. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.03.006 · Cited by 158
Priming of microglia with IFN-γ slows neuronal gamma oscillations in situ
Ta, T., Dikmen, H. O., Schilling, S., Chausse, B., Lewen, A., Hollnagel, J., & Kann, O. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1813562116 · Cited by 157
Self-citationMetformin selectively targets redox control of complex I energy transduction
Cameron, A., Logie, L., Patel, K., Erhardt, S., Bacon, S., Middleton, P. K., Harthill, J. E., Forteath, C., Coats, J. T., Kerr, C., et al. (2017) · Redox Biology · doi:10.1016/j.redox.2017.08.018 · Cited by 154
Bido, S., Soria, F. N., Fan, R. Z., Bézard, E., & Tieu, K. (2017) · Scientific Reports · doi:10.1038/s41598-017-07181-0 · Cited by 152
Polyzos, A. A., Lee, D. Y., Datta, R., Hauser, M., Budworth, H., Holt, A., Mihalik, S. J., Goldschmidt, P., Frankel, K. A., Trego, K. S., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.03.004 · Cited by 152
Millan, M. J. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.03.004 · Cited by 151
Self-citationMonitoring ATP dynamics in electrically active white matter tracts
Trevisiol, A., Saab, A. S., Winkler, U., Marx, G., Imamura, H., Möbius, W., Kusch, K., Nave, K.-A., & Hirrlinger, J. (2017) · eLife · doi:10.7554/elife.24241 · Cited by 151
Self-citationBaumgart, M., Priebe, S., Groth, M., Hartmann, N., Menzel, U., Pandolfini, L., Koch, P., Felder, M., Ristow, M., Englert, C., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.01.014 · Cited by 150
Miquel, E., Cassina, A., Palma, L. M., Souza, J. M., Bolatto, C., Rodríguez-Bottero, S., Logan, A., Smith, R. A. J., Murphy, M. P., Barbeito, L., et al. (2014) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2014.02.019 · Cited by 148
Self-citationKarnib, N., El-Ghandour, R., Hayek, L. E., Nasrallah, P., Khalifeh, M., Barmo, N., Jabre, V., Ibrahim, P., Bilen, M., Stephan, J. S., et al. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0313-z · Cited by 147
Cunnane, S. C., & Crawford, M. A. (2014) · Journal of Human Evolution · doi:10.1016/j.jhevol.2014.05.001 · Cited by 144
Self-citationThe glucose transporter type 1 (Glut1) syndromes
Koch, H., & Weber, Y. G. (2018) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2018.06.010 · Cited by 144
Cortical hypermetabolism in MCI subjects: a compensatory mechanism?
Ashraf, A., Fan, Z., Brooks, D. J., & Edison, P. (2014) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2919-z · Cited by 143
Neuroketotherapeutics: A modern review of a century-old therapy
Koppel, S. J., & Swerdlow, R. H. (2017) · Neurochemistry International · doi:10.1016/j.neuint.2017.05.019 · Cited by 142
Self-citationSalehpour, F., Ahmadian, N., Rasta, S. H., Farhoudi, M., Karimi, P., & Sadigh‐Eteghad, S. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.06.025 · Cited by 142
Ahmed, R. M., Irish, M., Piguet, O., Halliday, G. M., Ittner, L. M., Farooqi, I. S., Hodges, J. R., & Kiernan, M. C. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00380-4 · Cited by 137
Xu, Q., Zhang, Y., Zhang, X., Liu, L., Zhou, B., Mo, R., Li, Y., Li, H., Li, F., Yang, T., et al. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2019.10.017 · Cited by 136
Zhao, W., Varghese, M., Vempati, P., Dzhun, A., Cheng, A., Wang, J., Lange, D. J., Bilski, A. E., Faravelli, I., & Pasinetti, G. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049191 · Cited by 135
Tai, J., Liu, W., Li, Y., Li, L., & Hölscher, C. (2017) · Brain Research · doi:10.1016/j.brainres.2017.10.012 · Cited by 135
Ketogenic Medium Chain Triglycerides Increase Brain Energy Metabolism in Alzheimer’s Disease
Croteau, E., Castellano, C.-A., Richard, M. A., Fortier, M., Nugent, S., Lepage, M., Duchesne, S., Whittingstall, K., Turcotte, É. E., Bocti, C., et al. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-180202 · Cited by 135
Self-citationHow to reprogram microglia toward beneficial functions
Fumagalli, M., Lombardi, M., Gressèns, P., & Verderio, C. (2018) · Glia · doi:10.1002/glia.23484 · Cited by 134
Sayed, N. H., Fathy, N., Kortam, M. A., Rabie, M. A., Mohamed, A. F., & Kamel, A. S. E. D. (2019) · Neurotherapeutics · doi:10.1007/s13311-019-00805-5 · Cited by 134
Connecting Alzheimer's disease to diabetes: Underlying mechanisms and potential therapeutic targets
Vieira, M. N. N., Lima‐Filho, R. A. S., & Felice, F. G. D. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.11.014 · Cited by 133
Briston, T., & Hicks, A. R. (2018) · Biochemical Society Transactions · doi:10.1042/bst20180025 · Cited by 131
Emerging hormonal-based combination pharmacotherapies for the treatment of metabolic diseases
Clemmensen, C., Finan, B., Müller, T. D., DiMarchi, R. D., Tschöp, M. H., & Hofmann, S. M. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0118-x · Cited by 129
Nakamura, T., Watanabe, A., Fujino, T., Hosono, T., & Michikawa, M. (2009) · Molecular Neurodegeneration · doi:10.1186/1750-1326-4-35 · Cited by 124
Metformin reverses early cortical network dysfunction and behavior changes in Huntington’s disease
Arnoux, I., Willam, M., Griesche, N., Krummeich, J., Watari, H., Offermann, N., Weber, S. S., Dey, P. N., Chen, C., Monteiro, O., et al. (2018) · eLife · doi:10.7554/elife.38744 · Cited by 117
Insulin regulates POMC neuronal plasticity to control glucose metabolism
Dodd, G. T., Michael, N. J., Lee, R. S., Mangiafico, S. P., Pryor, J. T., Munder, A. C., Simonds, S. E., Brüning, J. C., Zhang, Z., Cowley, M. A., et al. (2018) · eLife · doi:10.7554/elife.38704 · Cited by 117
Lactate administration reproduces specific brain and liver exercise‐related changes
Lezi, E., Lu, J., Selfridge, J. E., Burns, J. M., & Swerdlow, R. H. (2013) · Journal of Neurochemistry · doi:10.1111/jnc.12394 · Cited by 115
Self-citationThe metabolic brain signature of cognitive resilience in the 80+: beyond Alzheimer pathologies
Arenaza‐Urquijo, E. M., Przybelski, S. A., Lesnick, T. G., Graff‐Radford, J., Machulda, M. M., Knopman, D. S., Schwarz, C. G., Lowe, V. J., Mielke, M. M., Petersen, R. C., et al. (2019) · Brain · doi:10.1093/brain/awz037 · Cited by 115
Zhang, L., Zhang, S., Maezawa, I., Trushin, S., Minhas, P. S., Pinto, M., Jin, L., Prasain, K., Nguyen, T. D. T., Yamazaki, Y., et al. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.03.009 · Cited by 111
Self-citationZhao, Y., Sun, X., Hu, D., Prosdocimo, D. A., Hoppel, C. L., Jain, M. K., Ramachandran, R., & Qi, X. (2019) · Nature Communications · doi:10.1038/s41467-019-09291-x · Cited by 111
Pawlosky, R. J., Kemper, M. F., Kashiwaya, Y., King, M. T., Mattson, M. P., & Veech, R. L. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.13958 · Cited by 108
Self-citationInsulin modulates hippocampally-mediated spatial working memory via glucose transporter-4
Pearson-Leary, J., Jahagirdar, V., Sage, J., & McNay, E. C. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.09.033 · Cited by 108
Deng‐Bryant, Y., Prins, M. L., Hovda, D. A., & Harris, N. G. (2011) · Journal of Neurotrauma · doi:10.1089/neu.2011.1822 · Cited by 104
Triheptanoin improves brain energy metabolism in patients with Huntington disease
Adanyeguh, I. M., Rinaldi, D., Henry, P., Caillet, S., Valabrègue, R., Dürr, A., & Mochel, F. (2015) · Neurology · doi:10.1212/wnl.0000000000001214 · Cited by 104
Self-propelling vesicles define glycolysis as the minimal energy machinery for neuronal transport
Hinckelmann, M.-V., Virlogeux, A., Niehage, C., Poujol, C., Choquet, D., Hoflack, B., Zala, D., & Saudou, F. (2016) · Nature Communications · doi:10.1038/ncomms13233 · Cited by 103
Self-citationCao, B., Rosenblat, J. D., Brietzke, E. M., Park, C., Lee, Y. L., Musial, N., Pan, Z., Mansur, R. B., & McIntyre, R. S. (2018) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13373 · Cited by 103
Li, H., Liu, C.-C., Zheng, H., & Huang, T. Y. (2018) · Translational Neurodegeneration · doi:10.1186/s40035-018-0139-3 · Cited by 103
Orr, A. L., Kim, C., Jimenez-Morales, D., Newton, B. W., Johnson, J. R., Krogan, N. J., Swaney, D. L., & Mahley, R. W. (2019) · Journal of Alzheimer's Disease · doi:10.3233/jad-181184 · Cited by 103
Gene Therapy for ALS—A Perspective
Cappella, M., Ciotti, C., Cohen-Tannoudji, M., & Biferi, M. G. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20184388 · Cited by 103
In Vivo Mitochondrial and Glycolytic Impairments in Patients with Alzheimer Disease
Terada, T., Obi, T., Bunai, T., Matsudaira, T., Yoshikawa, E., Ando, I., Futatsubashi, M., Tsukada, H., & Ouchi, Y. (2020) · Neurology · doi:10.1212/wnl.0000000000009249 · Cited by 103
Tefera, T. W., & Borges, K. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00611 · Cited by 100
Matthews, D. C., Lerman, H., Lukic, A., Andrews, R. D., Mirelman, A., Wernick, M. N., Giladi, N., Strother, S. C., Evans, K. C., Cedarbaum, J. M., et al. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.08.006 · Cited by 100
St‐Pierre, V., Vandenberghe, C., Lowry, C.-M., Fortier, M., Castellano, C., Wagner, J. R., & Cunnane, S. C. (2019) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00046 · Cited by 100
Self-citationMarin‐Valencia, I., Good, L. B., Ma, Q., Malloy, C. R., & Pascual, J. M. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.151 · Cited by 98
The Contribution of Ketone Bodies to Basal and Activity-Dependent Neuronal Oxidation in Vivo
Chowdhury, G. M. I., Jiang, L., Rothman, D. L., & Behar, K. L. (2014) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2014.77 · Cited by 97
Raule, N., Sevini, F., Li, S., Barbieri, A., Tallaro, F., Lomartire, L., Vianello, D., Montesanto, A., Moilanen, J. S., Bezrukov, V. V., et al. (2013) · Aging Cell · doi:10.1111/acel.12186 · Cited by 97
Hyder, F., Hermán, P., Bailey, C. J., Møller, A., Globinsky, R., Fulbright, R. K., Rothman, D. L., & GJEDDE, A. H. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x15625349 · Cited by 97
Silva, M. D. F., Dias, K. S. T., Gontijo, V. S., Ortiz, C. J. C., & Viegas, C. (2018) · Current Medicinal Chemistry · doi:10.2174/0929867325666180111101843 · Cited by 96
Nutritional Ketosis Increases NAD+/NADH Ratio in Healthy Human Brain: An in Vivo Study by 31P-MRS
Xin, L., İpek, Ö., Beaumont, M., Shevlyakova, M., Christinat, N., Masoodi, M., Greenberg, N., Rolf Gruetter, A., & Cuenoud, B. M. (2018) · Frontiers in Nutrition · doi:10.3389/fnut.2018.00062 · Cited by 96
Avgerinos, K. I., Egan, J. M., Mattson, M. P., & Kapogiannis, D. (2019) · Ageing Research Reviews · doi:10.1016/j.arr.2019.101001 · Cited by 96
Self-citationBrandt, J., Buchholz, A. S., Henry-Barron, B. J., Vizthum, D., Avramopoulos, D., & Cervenka, M. C. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180995 · Cited by 95
G lia in brain energy metabolism: A perspective
Barros, L. F., Brown, A. M., & Swanson, R. A. (2018) · Glia · doi:10.1002/glia.23316 · Cited by 94
Cheng, A., Wang, J., Ghena, N., Zhao, Q., Perone, I., King, T. M., Veech, R. L., Gorospe, M., Wan, R., & Mattson, M. P. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1446-19.2019 · Cited by 94
Self-citationGlucagon like peptide-1 (GLP-1) likes Alzheimer’s disease
Simsir, I. Y., Soyaltın, U. E., & Çetinkalp, Ş. (2018) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2018.03.002 · Cited by 93
Savitt, D., & Jankovic, J. J. (2019) · Drugs · doi:10.1007/s40265-019-01104-1 · Cited by 93
Mitochondrial traffic jams in Alzheimer's disease - pinpointing the roadblocks
Correia, S. C., Perry, G. L., & Moreira, P. I. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2016.07.010 · Cited by 92
Self-citationGut-brain signaling in energy homeostasis: the unexpected role of microbiota-derived succinate
Vadder, F. D., & Mithieux, G. (2018) · Journal of Endocrinology · doi:10.1530/joe-17-0542 · Cited by 92
Self-citationUpregulation of GPR109A in Parkinson’s Disease
Wakade, C. G., Chong, R. K. Y., Bradley, E., Thomas, B., & Morgan, J. C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109818 · Cited by 91
Semaglutide: review and place in therapy for adults with type 2 diabetes
Goldenberg, R. M., & Steen, O. (2019) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2018.05.008 · Cited by 91
Zilberter, M. Y., Ivanov, A., Ziyatdinova, S., Mukhtarov, M. R., Malkov, A., Alpár, A., Tortoriello, G., Botting, C. H., Fülöp, L., Osypov, A. A., et al. (2012) · Journal of Neurochemistry · doi:10.1111/jnc.12127 · Cited by 90
Ngo, S. T., Steyn, F. J., Huang, L., Mantovani, S., Pfluger, C. M., Woodruff, T. M., O’Sullivan, J. D., Henderson, R. D., & McCombe, P. (2015) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2015.06.053 · Cited by 90
Zhao, F., Fang, F., Qiao, P., Yan, N., Gao, D., & Yan, Y. (2016) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2016/8360738 · Cited by 89
Lin, Y., Wang, K., Ma, C., Wang, X., Gong, Z., Zhang, R., Zang, D., & Cheng, Y. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00227 · Cited by 89
C9orf72 expansion within astrocytes reduces metabolic flexibility in amyotrophic lateral sclerosis
Allen, S. P., Hall, B., Woof, R., Francis, L. I., Gatto, N., Shaw, A. C., Myszczynska, M. A., Hemingway, J., Coldicott, I., Willcock, A., et al. (2019) · Brain · doi:10.1093/brain/awz302 · Cited by 89
Roe, C. R., & Brunengraber, H. (2015) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2015.10.005 · Cited by 88
Enhancement of Astroglial Aerobic Glycolysis by Extracellular Lactate-Mediated Increase in cAMP
Vardjan, N., Chowdhury, H. H., Horvat, A., Velebit, J., Malnar, M., Muhič, M., Kreft, M., KRIVEC, S. G., Bobnar, S. T., Miš, K., et al. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00148 · Cited by 87
Self-citationConsequences of Metabolic Disruption in Alzheimer's Disease Pathology
Ryu, J. C., Zimmer, E. R., Rosa‐Neto, P., & Yoon, S. O. (2019) · Neurotherapeutics · doi:10.1007/s13311-019-00755-y · Cited by 87
McColgan, P., Gregory, S., Seunarine, K. K., Razi, A., Papoutsi, M., Johnson, E. B., Dürr, A., Roos, R. A. C., Leavitt, B. R., Holmans, P., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.019 · Cited by 86
Ari, C., Poff, A. M., Held, H. E., Landon, C. S., Goldhagen, C. R., Mavromates, N., & D’Agostino, D. P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103526 · Cited by 82
Molecular Pathogenesis in Huntington’s Disease
Illarioshkin, S. N., Klyushnikov, S. A., Vigont, V. A., Seliverstov, Y. A., & Kaznacheyeva, E. V. (2018) · Biochemistry (Moscow) · doi:10.1134/s0006297918090043 · Cited by 79
Ruskin, D. N., Ross, J. L., Kawamura, M., Ruiz, T., Geiger, J. D., & Masino, S. A. (2011) · Physiology & Behavior · doi:10.1016/j.physbeh.2011.04.001 · Cited by 78
Batista, A. F., Bodart‐Santos, V., Felice, F. G. D., & Ferreira, S. T. (2018) · CNS Drugs · doi:10.1007/s40263-018-0593-6 · Cited by 78
Jalewa, J., Sharma, M. K., & Hölscher, C. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13736 · Cited by 77
Lau, D. H. W., Hartopp, N., Welsh, N. J., Mueller, S., Glennon, E. B. C., Mórotz, G. M., Annibali, A., Gómez‐Suaga, P., Stoica, R., Paillusson, S., et al. (2018) · Cell Death and Disease · doi:10.1038/s41419-017-0022-7 · Cited by 77
Cited by
Sorted by citations
Hallmarks of neurodegenerative diseases
Wilson, D. M., Cookson, M. R., Van Den Bosch, L., Zetterberg, H., Holtzman, D. M., & Dewachter, I. (2023) · Cell · doi:10.1016/j.cell.2022.12.032 · Cited by 1,789
Mitochondrial dysfunction: mechanisms and advances in therapy
Yao, Z., Li, H., Liao, P., Chen, L., Pan, Y., Zheng, Y., Zhang, C., Liu, D., Zheng, M., & Gao, J. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01839-8 · Cited by 1,382
Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
Loh, J. S., Mak, W. Q., Tan, L. K. S., Ng, C. X., Chan, H. H., Yeow, S. H., Foo, J. B., Ong, Y. S., How, C. W., & Khaw, K. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01743-1 · Cited by 1,193
Mitochondrial Dysfunction and Oxidative Stress in Alzheimer’s Disease
Misrani, A., Tabassum, S., & Yang, L. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.617588 · Cited by 654
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
Metadata
- Authors
- Cunnane, S. C., Trushina, E., Morland, C., Prigione, A., Casadesus, G., Andrews, Z. B., Beal, M. F., Bergersen, L. H., Brinton, R. D., de la Monte, S., Eckert, A., Harvey, J., Jeggo, R., Jhamandas, J. H., Kann, O., la Cour, C. M., Martin, W. F., Mithieux, G., Moreira, P. I., Murphy, M. P., Nave, K.-A., Nuriel, T., Oliet, S. H. R., Saudou, F., Mattson, M. P., Swerdlow, R. H., & Millan, M. J.
- Affiliations
- Université de Sherbrooke (CA)
- Mayo Clinic (US)
- University of Oslo (NO)
- Heinrich Heine University Düsseldorf (DE)
- Monash University (AU)
- Weill Cornell Medicine (US)
- University of Arizona (US)
- University of Basel (CH)
- University of Dundee (GB)
- Institut de Recherches Internationales Servier (France) (FR)
- University of Alberta (CA)
- Heidelberg University (DE)
- Inserm (FR)
- University of Coimbra (PT)
- University of Cambridge (GB)
- Columbia University Irving Medical Center (US)
- Université de Bordeaux (FR)
- Johns Hopkins University (US)
- University of Kansas (US)
- Corresponding author
- Cunnane, Stephen C.
- Millan, Mark J.
- ORCID
- Cunnane, Stephen C.
- Trushina, Eugenia
- Morland, Cecilie
- Prigione, Alessandro
- Andrews, Zane B.
- Bergersen, Linda H.
- Brinton, Roberta D.
- Eckert, Anne
- Harvey, Jenni
- Jhamandas, Jack H.
- Kann, Oliver
- Martin, William F.
- Mithieux, Gilles
- Moreira, Paula I.
- Murphy, Michael P.
- Nave, Klaus-Armin
- Nuriel, Tal
- Oliet, Stéphane H. R.
- Saudou, Frédéric
- Mattson, Mark P.
- Swerdlow, Russell H.
- Millan, Mark J.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2020-07-24
- Volume
- 19
- Issue
- 9
- Pages
- 609-633
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- PMC
- PMC7948516
- OpenAlex
- W3044114834
- Cited by
- 1,003
- References
- 317
- Citations by year
- 2026: 174 · 2025: 203 · 2024: 175 · 2023: 174 · 2022: 146 · 2021: 112 · 2020: 19
- FWCI
- 10.79
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Nature Reviews Drug Discovery (publishedVersion)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (acceptedVersion, other-oa)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion, cc-by)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Funders
- National Science Foundation (P30 AG035982, R37AG053589, R01AG057931)
- Alzheimer's Association (P30AG035982)
- Wellcome Trust (110159/Z/ 15/Z, /Z/15/Z)
- Alzheimer's Society
- European Commission (PEst-C/SAU/LA0001/2013, HORIZON2020)
- Deutsche Forschungsgemeinschaft (CRC 1134)
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (31003A, 179294)
- Servier
- National Institutes of Health (UIDB/04539/2020, 7r21ag064479-03, 1rf1ag062135-01, AG035982, AG026572)
- Canadian Institutes of Health Research
- Natural Sciences and Engineering Research Council of Canada
- Fonds de Recherche du Québec - Santé
- Medical Research Council (MC_UU_00015/3, U105663142, MC-U105663142)
- National Health and Medical Research Council (1154974)
- National Institute on Aging (AG026572, RF1AG059093, R21 AG064479, AG035982, RF1-AG062135, P30AG035982, R15AG050292, R01AG061194, RO1AG062135, R01AG057931, RF1AG55549, R01AG060733, RF1AG055549, R37AG053589, P01AG026572)
- National Institute of Neurological Disorders and Stroke (R01NS107265, UH3NS113776)
- H2020 European Research Council (834317)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroprotection in Cerebral Ischemia
- Keywords
- brain energy metabolism, Alzheimer's disease, glucose metabolism, oxidative phosphorylation, aerobic glycolysis, ketone bodies, mitochondrial dysfunction, insulin sensitivity, RNA therapeutics, lifestyle intervention, treatment options
- MeSH terms
- Aging, Animals, Brain, Energy Metabolism, Glycolysis, Humans, Oxidative Phosphorylation, Neurodegenerative Diseases
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