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
Cited by
Sorted by citations
Items 901–998 of 998
Mestdagh, C. F. D. V., Koopmans, F., Breiter, J. C., Timmerman, J. A., Vogelaar, P. C., Krenning, G., Mansvelder, H. D., Smit, A. B., Henning, R. H., & van Kesteren, R. E. (2023) · Figshare · doi:10.6084/m9.figshare.22611868
Buyan, M. I., Cherkesova, K. S., Brezgunova, A. A., Pevzner, I. B., Andrianova, N. V., & Plotnikov, E. Y. (2025) · Biochemistry (Moscow) · doi:10.1134/s0006297925602539
Mechanistic Pathways of Bioactive Phytocompounds in Neurodegenerative Disorders
Soni, J., & Kumar, N. (2026) · Springer eBooks · doi:10.1007/978-981-95-4751-7_15
Nutritional Interventions for Dementia Prevention: A Brief Perspective
Kamohara, S., & Sakatani, K. (2025) · Personalized Medicine Universe · doi:10.46459/pmu.2025002
Xu, H., Luo, Y., & Wu, X. X. (2026) · Comprehensive physiology · doi:10.1002/cph4.70098 · Cited by 1
Omes, Q. P. M., van der Veen, D., Kersten, C. J. B. A., Arntz, R. M., Filius, P. M. G., van den Wijngaard, I. R., van der Worp, H. B., & Hofmeijer, J. (2026) · Trials · doi:10.1186/s13063-026-09426-8
Corilagin reduces ischemic stroke damage by neural stem cell-mediated neurorepair
Wang, Q., Wei, M., Wu, R., Ma, Y., Hu, J., Ding, Y., Wang, S., Jiang, H., Wang, Y., Gu, J., et al. (2026) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2026.178555
Alzheimer’s disease: diabetes of the brain
Moreira, P. I., Cardoso, S., & Perry, G. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33841-0.00030-0
Self-citationCharacterizing the metabolomes of microglia, astrocytes, and neurons in aging and Alzheimer’s brainsPreprint
Yu, J., Li, F., Chen, X., Mou, C., Yao, D., Bi, Z., Chen, X. Y., Du, L., Feng, Z., Zhang, X., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.06.703980
The functional role of glial cells in the pathologic brain as reviewed by Alois Alzheimer in 1910
Kettenmann, H., Lassmann, H., Ugursu, B., & Xiang, X. (2026) · Molecular Neurodegeneration · doi:10.1186/s13024-026-00933-5
Dynamic PET Imaging of Elesclomol-Facilitated Copper Delivery in Ischemic Stroke Rats
Yuan, X., Zhang, Y., Huang, H., Xie, L., Hanyu, M., Chen, L., Cheng, W., Zhang, S., Kononov, A. I., Wang, R., et al. (2026) · ACS Omega · doi:10.1021/acsomega.5c10826
Taguchi, A., Okinaka, Y., Claussen, C., & Gul, S. (2026) · Aging · doi:10.18632/aging.206356
Gong, P., Wang, J., Long, H., Wenjuan, Y. A. N. G., Chen, X., Wang, J., Li, N., Chen, F., & Guo, Y. (2026) · Journal of Future Foods · doi:10.1016/j.jfutfo.2026.03.014 · Cited by 1
Advances in Research on Cognitive Impairment of Parkinson’s Disease in High-Altitude Areas
付, 渝. (2026) · Advances in Clinical Medicine · doi:10.12677/acm.2026.163958
Energy Compensation Strategy: The Frontier of Neurodegenerative Disease Treatment
Tang, J., Sun, Y., Lin, X., Zhao, X., Mao, C., Wan, M., Li, J., & Guan, Y. (2026) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.5c00964
Jin, X., Feng, L., Li, X., Qu, T., Wu, Y., Wang, Z., Hui, K., Guo, H., Chen, L., Wang, L., et al. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1753462 · Cited by 1
Karmakar, A., Roycowdhury, P., Sengupta, P., & Mukhopadhyay, D. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.02.007
Aging is not a disease: an evolutionary and comparative biological reappraisal
Feltes, B. C. (2026) · Biogerontology · doi:10.1007/s10522-026-10422-3 · Cited by 1
Protective effects of adenosine A2B receptor antagonism in a cuprizone-induced demyelination model
Cherchi, F., Venturini, M., Frulloni, L., Panozzi, F., Magni, G., Santalmasi, C., Maestrelli, C., Giovannini, M. G., Coppi, E., Lana, D., et al. (2026) · Neuropharmacology · doi:10.1016/j.neuropharm.2026.110944
Insulin resistance and ischemic stroke
Пизова, Н. В., & Pizov, A. V. (2026) · Russian neurological Journal · doi:10.30629/2658-7947-2025-30-6-4-10
Castro, C. B., Gardener, S. L., Jahan, F., Chen, J., Brown, B. M., Loo, R. L., Taddei, K., Rainey‐Smith, S. R., Weinborn, M., dos Reis, A. C. R., et al. (2026) · Nutrients · doi:10.3390/nu18071136
Study of vesicular glycolysis in health and Huntington's Disease
Cluskey, M. M. (2021) · theses.fr (ABES) · doi:10.70675/eb022640z9c3cz4467z940dz6b27765c296b
Feng, S., Endrawes, G., Henneberg, M., Wei, R., Garcia, L. R., & You, W. (2026) · Archives of Gerontology and Geriatrics Plus · doi:10.1016/j.aggp.2026.100273
Lactate, an underestimated molecule in nerve regeneration
Li, H., Ming, L., Tu, Z., Zhao, Y., Cheng, M., Zhang, Z., Gao, C., & Jiang, J. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107377
Bao, N., Zhang, M., Tang, M., Shen, Z., Wang, S., & Jiang, G. (2026) · European Journal of Histochemistry · doi:10.4081/ejh.2026.4548
Lopez‐Ramirez, A., Worth, A. J., Wang, Z. (., Yilmaz, S., Hayes, S., Tang, H., Farris, J. D., Alam†, M. S., Padmanabhan, P. K., & Haldar, K. (2026) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2026.113098
Genome-Wide CRISPR Screening Identifies Genetic Modulators of Amyloid Precursor Protein Processing
Li, Y., Yao, Y., Xu, Z., Xiong, Y., Zhang, C., Yu, L., Huiling, G., & Fei, T. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27093926
Total N-acetylaspartate: A potential early biomarker of depression?
Hudhud, L., Haney, M., Petrović, P., Stiernman, L. J., & Lindgren, L. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121896
Hsiao, T.-C., Hsu, C.-D., Xiao, Q., Chen, Y.-H., Piriou, Y., Shirakawa, H., & Yang, S. (2026) · Antioxidants · doi:10.3390/antiox15050588
酒谷, 薫. (2026) · JAPANES JOURNAL OF MEDICAL INSTRUMENTATION · doi:10.4286/jjmi.96.66
Targeting microglia: A new strategy for the treatment of Alzheimer's disease
Zheng, M., Yang, M., Su, W., Tian, L., & Gao, W. (2026) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2026.578966
Synaptic health in brain disorders: Impact of nanoplastic exposure
Ijomone, O. K., Omotosho, O. I., Awoyemi, I. L., Ovwere, I. R., Okeowo, O. M., Oyeniran, D. A., Oyerinde, T. O., Anadu, V. E., Gbayisomore, T. J., & Ijomone, O. M. (2026) · Advances in neurotoxicology · doi:10.1016/bs.ant.2026.03.011
Mu, Q., Ma, Y., Zhang, T., Cong, F., Jin, J., Jin, Q., & Wang, X. (2026) · Molecules · doi:10.3390/molecules31101734
Trafficking of protein kinases to mitochondria: Implications for ischemic stroke
Pandya, C. D., Kunjadiya, A. P., Dalwadi, P., Singh, R., Khan, S. N., Pennypacker, K. R., Fraser, J. F., Stowe, A. M., & Sullivan, P. G. (2026) · Experimental Gerontology · doi:10.1016/j.exger.2026.113176
Investigation of Neurotransplantation and Regenerative Therapy in Preclinical Models
Sugaya, K. (2026) · Contemporary clinical neuroscience · doi:10.1007/978-3-032-18296-8_28
Liver-nervous system axis: pathways, dysregulation, and translational perspectives
Hao, D., Hu, Y., Luo, W., Li, S., Yan, Y., & Zhou, J. (2026) · Journal of Neuroinflammation · doi:10.1186/s12974-026-03875-3
Chen, J., Li, Y., Huo, X., Xie, J., Cao, W., Niu, L., 周翠兰, Zuo, L., & Xu, Y. (2026) · Behavioural Brain Research · doi:10.1016/j.bbr.2026.116293
Sudasinghe, K., & Hall, S. E. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1839995
Sibomana, I., Beidleman, B. A., Karl, J. P., Figueiredo, P. S., Landspurg, S. D., Staab, J. E., & Mauzy, C. A. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1704360
Jangra, J., Mahindru, I., & Kumar, R. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.05.005
Maleki, Z., Mirshekar, M. A., Montazerifar, F., Etminani, B., & Keykha, F. (2026) · Journal of Nutrition and Metabolism · doi:10.1155/jnme/7185647
Ali, A., Hussain, M. S., Ahmed, M. E., Giri, S., & Ahmad, A. S. (2026) · Journal of Neurotrauma · doi:10.1177/08977151261452922
Sun, Y., Zhou, K., Cui, J., Ding, H., Shareef, I., Du, L., Shi, Z., Fu, L., Sun, F., Zhu, Z., et al. (2026) · Biogerontology · doi:10.1007/s10522-026-10455-8
Nijssen, K. M. R., Adam, T. C., Mensink, R. P., & Joris, P. J. (2026) · Metabolism · doi:10.1016/j.metabol.2026.156672
Porto, V. A., da Rocha, E. R., da Silveira, F. F. C. L., Neto, J. H. S., Silva, D. L. F., Crispim, A. C., Ursulino, J. S., Costa, T. B. B. C., Bento, E. S., Santos, J. C. C., et al. (2026) · Environmental Pollution · doi:10.1016/j.envpol.2026.128581
Medina, T., Quiñones, S., Liu, Z., Wu, L., Ziani, B., Shedlock, C. J., Ma, X., Ryan, A., Larson, R., Soto, C. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.16.732673
Khodadadi, S., Rezaeimanesh, N., Motahar, A. A., Yousefi, F., Avateffazeli, M., Montazeri‐Shatouri, R., Hosseini, E., Negah, S. S., & Moghadasi, A. N. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.06.001
Ye, P., Li, Z., Cui, X., Wu, H., & Jiang, H. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1852019
Hu, H., Zhao, S., Xu, L., Ma, Z., Ma, R., Huang, F., & Shi, L. (2026) · Biomaterials · doi:10.1016/j.biomaterials.2026.124408
Rossitto, L.-A. M., Lu, T. W., Ma, Y., Sharma, P. K., Burghi, V., Gonzalez, C. G., Bruystens, J. G. H., Maurya, S. R., Wu, J., Lona, A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.26.734839
Li, T., Zang, Q., Zhu, S., Tu, X., Li, X., Liu, J., Zhang, Y., & Zhang, R. (2026) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2026.101707
Gu, J., Fan, C., Xiang, S., Yang, L., Liu, J., Si, Y., Zhu, B., Sun, Y., Ding, C., Cao, S., et al. (2026) · PLoS Pathogens · doi:10.1371/journal.ppat.1014335
Pérez-Villavicencio, J., Villa-Robledo, O., Megchun-Vázquez, X., Uriarte-Jiménez, F., Rubio‐Osornio, M., & Serrano‐García, N. (2026) · Neuroglia · doi:10.3390/neuroglia7030023
Astrocytic lactate shuttle disruption and the energy-starved lysosome in Alzheimer's diseasePreprint
Kim¹, Y., Heo, W., Park, S. J., Kim, Y., & Cho², Y. E. (2026) · Research Square · doi:10.21203/rs.3.rs-10057949/v1
Leveraging Advanced AI Frameworks for Dual PPAR α/γ Agonist Discovery in Alzheimer’s Disease
Chaturvedi, N., Mishra, V., Haque, S., Khatoon, S., Rawal, K., & Kumar, V. (2026) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.6c00148
LORENZO, R. D., & Rovere, P. Q. (2026) · Pharmacological Research · doi:10.1016/j.phrs.2026.108345
Yin, N., Ding, H., Su, R., Chen, Y., Zhou, L., Tao, Y., Chen, H., Sun, Z., & Li, J. (2026) · Neurochemistry International · doi:10.1016/j.neuint.2026.106229
Innovations and Insights in Probiotics: Their Applications, Mechanisms, and Safety
Li, M., Yue, X., & Liu, Z. (2026) · Foods · doi:10.3390/foods15152594
Vasilkovska, T., Page, L. M. L., Guglielmetti, C., Radoul, M., Li, H., Xiao, J. N., Gordon, J. W., Nakamura, K., & Chaumeil, M. M. (2026) · Research Square · doi:10.21203/rs.3.rs-10437814/v1
Menzikov, S. A., Zaichenko, D. M., Московцев, А. А., Morozov, S. G., & Kubatiev, A. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1834375
Hu, X., Yu, Y., Luo, H., Li, J., Zhang, X., Wang, G., Li, J., Li, J., Chen, H., & Qiu, Y. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00567-z
Park, J. (2026) · Dementia and Neurocognitive Disorders · doi:10.12779/dnd.2026.25.3.152
Zhang, Y., Yang, S., Ran, S., Du, M., Chen, J., Cen, M., Gu, Y., Liao, J., Liu, Y., Zhang, R., et al. (2026) · Phytomedicine · doi:10.1016/j.phymed.2026.158687
McClure, T. S., Greene, S., Westfall, L. M., Kernagis, D., Egan, B., & Koutnik, A. P. (2026) · Military Medicine · doi:10.1093/milmed/usag123
Metabolic Vulnerability Indices and Alzheimer’s Disease Risk: A Prospective UK Biobank Study
Ding, G., Liu, Y., Zhao, Y., Li, Y., He, Y., He, Y., Chen, N., & Cui, J. (2026) · Journal of Nutrition · doi:10.1016/j.tjnut.2026.101777
Rodzeń, Ł., Rodzeń, M., Dyńka, D., Łojko, D., Karakuła‐Juchnowicz, H., Kraszewski, S., Fazio, S., Unwin, D., & Bikman, B. T. (2026) · Nutrients · doi:10.3390/nu18162666
Tau-targeting pharmacological strategies in neurodegenerative disease
Zheng, H., & Zheng, J. (2026) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2026.07.008
Li, J.-K., Wang, R., Meng, X.-Y., & Kang, J. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02890-3
Chang, Y., Kim, H., Kim, Y., Park, A., Nam, S., Banerjee, D. R., Hasenour, C. M., Young, J. D., Brooks, G. A., Wolfe, R. R., et al. (2026) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00268.2026
Hu, G., Gong, S., Yan, S., Rong, L., Zhang, H., Wu, H., Yao, L., & Li, W. (2026) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2026.119851
Millan, M. J. (2026) · Neuroscience Applied · doi:10.1016/j.nsa.2026.107024
Self-citationJucha, J., Zając, D., Darasz, D., Łukawski, A., Slobozheniuk, L., Bieniak-Pentchev, M., Kaczorek, M., Machnik, K., Dziewięcka, O., & Ziębka, W. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.6010
Yi, Y., Chen, C., He, Y., Yu-zhou, S., Cheng, R., Liu, M., Liu, Z., & Zhang, X. (2026) · Medicinal Research Reviews · doi:10.1002/med.70103
Chen, M., Zuo, C., Li, R., Zhang, J., Yao, Z., Li, L., & Cheng, L. (2026) · Discover Neuroscience · doi:10.1186/s13064-026-00314-0
Xue, H., Chen, D., Lin, X., Meng, X., Ren, Y., Xie, Y., Sun, X., Wu, X., & Zhang, N. (2026) · Journal of Radiation Research and Applied Sciences · doi:10.1016/j.jrras.2026.102662
Dipa, P., Neha, Mandal, S., & Aran, K. R. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103353
Xi, L., Wan, J., Hua, Y., Guo, M., Du, J., Luo, X., & Yu, H. (2026) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2026.106409
Otoda, T., Nakajima, H., & Takayama, T. (2026) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2026.1892506
Epigenomic Remodeling by Lipid Metabolism: A Cross-Disease Perspective on Cancer and Brain Disorders
Rafique, A., Farooq, A., Cho, C. E., & Bakovic, M. (2026) · Genes · doi:10.3390/genes17091134
Dynamic contributions of astrocytes in Alzheimer’s disease
Guo, F., Li, T., & He, X. (2026) · Experimental Neurology · doi:10.1016/j.expneurol.2026.116032
Metabolic responses to O-GlcNAcase inhibition in AppNL-G-F mice
Ouyang, X., Tian, R., Benavides, G. A., Bell, M., Kramer, J. A., Qin, H., Smith, M. R., Jones, D. P., Go, Y., Darley-Usmar, V. M., et al. (2026) · Advances in Redox Research · doi:10.1016/j.arres.2026.100198
Ketones and brain health: from metabolic rescue to metabolic flexibility
Paoli, A. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1977189
Mechanisms of Brain Aging and Their Links to Alzheimer’s and Parkinson’s Disease Pathology
Yi, H., Qin, H., Goon, J. A., Makpol, S., & Tan, J. K. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27188426
Brain energy metabolism in neurodegenerative disease
Lahr, C. M., Wilson, E., SENGUPTA, M., Bernini, M., & Skupin, A. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107615
Corrales, N., Vallejo-Bedia, F., Olivares-Raya, I., Ávila, J., & García‐Escudero, V. (2026) · Applied Sciences · doi:10.3390/app16199488
Tang, X., Wang, S., Yang, P., Yin, X., Cheng, W., Zhang, Y., Luo, H., Yuan, L., Zhou, B., Lu, Y., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-11007260/v1
Zhang, J., Yu, Z., Zhang, X., & Wang, H. (2026) · npj Dementia · doi:10.1038/s44400-026-00124-5
Erdogan, M. A., & Cakmak, A. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag528
Zhu, H., Wan, C., Yang, M., Fang, Y., An, Z., Swaminathan, P., Dang, P., Li, Z., Wang, J., Wang, Y., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.27.754711
The missing layer in theories of consciousness: a metabolic–proteostatic feasibility hypothesis
Kolanowski, W. (2026) · Medical Hypotheses · doi:10.1016/j.mehy.2026.112181
Alaeiilkhchi, N., Zhou, W., Ghalat, N. J., Kolehmainen, K., Thomson, T., Rajendran, A., Liu, J., Seira, O., & Tetzlaff, W. (2026) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2026.107978
Changjian, W., Furui, W., Yanyu, F., Yü, Y., & Wei, J. (2026) · Experimental Neurology · doi:10.1016/j.expneurol.2026.116058
Ketones and their essential role in the developing brain
Cholette-Tétrault, S., Piette, A. L., Fernandes, K. J. L., Zemmour, K., & Cunnane, S. C. (2026) · OCL · doi:10.1051/ocl/2026033
Self-citationAlDakheel, A., & Qadi, N. (2026) · Nutrients · doi:10.3390/nu18203436
Saber, S. H., Matthews, B., Ellis, S. A., Abosnwber, Y., Wallis, T. P., & Meunier, F. A. (2026) · The EMBO Journal · doi:10.1038/s44318-026-00944-4
Shi, H., Ke, Z., Wang, B., Zhang, X., Gui, Y., Zhang, H., & Liang, R. (2026) · Experimental Neurology · doi:10.1016/j.expneurol.2026.116091
Wang, X., Tan, G., Ni, M., Li, J., & Gao, F. (2026) · iScience · doi:10.1016/j.isci.2026.118012
Jiang, S., Kong, L., Bai, X., Yang, M., Ding, J., Wang, Y., Fan, W., Yan, Y., 朴成玉, & Zhang, N. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1979963
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