The DOI matches its Crossref record; 285 of the 285 references it cites were found in a registry or an index.
Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums
Open accessAbstract
Considerable overlap has been identified in the risk factors, comorbidities and putative pathophysiological mechanisms of Alzheimer disease and related dementias (ADRDs) and type 2 diabetes mellitus (T2DM), two of the most pressing epidemics of our time. Much is known about the biology of each condition, but whether T2DM and ADRDs are parallel phenomena arising from coincidental roots in ageing or synergistic diseases linked by vicious pathophysiological cycles remains unclear. Insulin resistance is a core feature of T2DM and is emerging as a potentially important feature of ADRDs. Here, we review key observations and experimental data on insulin signalling in the brain, highlighting its actions in neurons and glia. In addition, we define the concept of 'brain insulin resistance' and review the growing, although still inconsistent, literature concerning cognitive impairment and neuropathological abnormalities in T2DM, obesity and insulin resistance. Lastly, we review evidence of intrinsic brain insulin resistance in ADRDs. By expanding our understanding of the overlapping mechanisms of these conditions, we hope to accelerate the rational development of preventive, disease-modifying and symptomatic treatments for cognitive dysfunction in T2DM and ADRDs alike.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“in AD and amnestic mild cognitive impairment (aMCI) glucose metabolism is dramatically decreased”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In AD and aMCI, however, brain insulin resistance is present6,7.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Glucose enters the brain from the vasculature through highly efficient glucose transporters and requires insulin for optimal cellular utilization7.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Yet glucose metabolism in AD and aMCI brains is significantly impaired5–7,9,38.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The brain is an energy-demanding organ and relies heavily on efficient ATP production via glycolysis, the TCA cycle and oxidative phosphorylation (Fig. 1)7.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
Experimental — accuracy not yet measured
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In addition to mTOR activation, insulin resistance can also result in neuronal glucose deficiency, with consequent decreased glucose metabolism, impaired ATP production, and dysfunction and/or death7,42”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The possible action of Al in the pathogenesis of diabetes mellitus and the concurrence of neurological disorders associated with Alzheimer’s disease and other dementias (Arnold et al., 2018) point to the common cellular basis of the pathogenesis of both metabolic and cognitive disorders, which can arise from toxic actions of Al.”
From Aluminium toxicosis: a review of toxic actions and effects (2019) · cites this paper as Arnold et al., 2018
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“insulin resistance could affect neuronal function and Aβ accumulation in the brain, which contribute to neuroinflammation and synaptic dysfunction and finally lead to cognitive decline (Arnold et al., 2018).”
From AD-Like Neuropsychiatric Dysfunction in a Mice Model Induced by a Combination of High-Fat Diet and Intraperitoneal Injection of Streptozotocin (2024) · cites this paper as Arnold et al., 2018
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Recent studies have suggested a potential link between AD and insulin resistance, which exhibits a decreased level of key insulin signaling proteins and an increased level of insulin resistance markers in the brains of AD mice (Craft et al., 1998; Arnold et al., 2018; Kshirsagar et al., 2021).”
From AD-Like Neuropsychiatric Dysfunction in a Mice Model Induced by a Combination of High-Fat Diet and Intraperitoneal Injection of Streptozotocin (2024) · cites this paper as Arnold et al., 2018
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Indeed, type 2 diabetes (T2DM), a key component of which is insulin resistance, is a significant risk factor for developing AD7.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
The cited source says what the claim attributes to it.
In the citing paper
“These mTOR-mediated events may help explain the observation that type 2 diabetes (T2DM) is a significant risk factor for development of AD7,41.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
The cited source says what the claim attributes to it.
In the citing paper
“Brain insulin resistance is common in AD7,38,41.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Indeed, mitochondrial dysfunction and insulin resistance are intimately related7,38.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [7]
Experimental — accuracy not yet measuredIn the citing paper
“it might involve the down-regulation or failure of insulin receptors, as well as impairments of downstream signalling, and contribute to the emergence and/or persistence of metabolic dysregulation”
From Intranasal insulin (2021) · cites this paper as [90]
In the citing paper
“Insulin may moreover boost brain energy supply via effects on astrocytes 129 and other glia cells, including oligodentrocytes.90”
From Intranasal insulin (2021) · cites this paper as [90]
In the citing paper
“Respective organ deficits include reductions in hippocampal volume, 141 as well as ischaemic impairments and cortical hypometabolism.90”
From Intranasal insulin (2021) · cites this paper as [90]
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
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814
Self-citationEnergy Metabolism in the Liver
Rui, L. (2014) · Comprehensive physiology · doi:10.1002/cphy.c130024 · Cited by 2,401
Risk of dementia in diabetes mellitus: a systematic review
Biessels, G. J., Staekenborg, S., Brunner, E., Brayne, C., & Scheltens, P. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(05)70284-2 · Cited by 2,187
Diabetes mellitus and the risk of dementia: The Rotterdam Study
Ott, A., Stolk, R. P., van Harskamp, F., Pols, H. A. P., Hofman, A., & Breteler, M. M. B. (1999) · Neurology · doi:10.1212/wnl.53.9.1937 · Cited by 2,175
Talbot, K., Wang, H.-Y., Kazi, H., Han, L.-Y., Bakshi, K. P., Stucky, A., Fuino, R. L., Kawaguchi, K. R., Samoyedny, A. J., Wilson, R. S., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59903 · Cited by 1,871
Self-citationSteen, E., Terry, B. M., J. Rivera, E., Cannon, J. L., Neely, T. R., Tavares, R., Xu, X. J., Wands, J. R., & de la Monte, S. M. (2005) · Journal of Alzheimer's Disease · doi:10.3233/jad-2005-7107 · Cited by 1,703
Depression and Type 2 Diabetes Over the Lifespan
Mezuk, B., Eaton, W. W., Albrecht, S., & Golden, S. H. (2008) · Diabetes Care · doi:10.2337/dc08-0985 · Cited by 1,558
Alzheimer’s Disease Risk Genes and Mechanisms of Disease Pathogenesis
Karch, C. M., & Goate, A. M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.006 · Cited by 1,357
Craft, S. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.233 · Cited by 1,253
Self-citation
Cited by
Sorted by citations
Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286
Reactive Oxygen Species, Toxicity, Oxidative Stress, and Antioxidants: Chronic Diseases and Aging
Jomova, K., Raptova, R., Alomar, S. Y., Alwasel, S. H., Nepovimova, E., Kuca, K., & Valko, M. (2023) · Archives of Toxicology · doi:10.1007/s00204-023-03562-9 · Cited by 2,638
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
Effects of intermittent fasting on health, aging, and disease
de Cabo, R., & Mattson, M. P. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1905136 · Cited by 1,605
Cognitive decline and dementia in diabetes mellitus: mechanisms and clinical implications
Biessels, G. J., & Despa, F. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0048-7 · Cited by 1,454
Brain energy rescue: an emerging therapeutic concept for neurodegenerative disorders of ageing
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., et al. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0072-x · Cited by 1,003
A critical appraisal of amyloid-β-targeting therapies for Alzheimer disease
Panza, F., Lozupone, M., Logroscino, G., & Imbimbo, B. P. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-018-0116-6 · Cited by 965
Trends in insulin resistance: insights into mechanisms and therapeutic strategy
Li, M., Chi, X., Wang, Y., Setrerrahmane, S., Xie, W., & Xu, H. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01073-0 · Cited by 939
Kellar, D., & Craft, S. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30231-3 · Cited by 832
Self-citationXue, M., Xu, W., Ou, Y.-N., Cao, X.-P., Tan, M.-S., Tan, L., & Yu, J.-T. (2019) · Ageing Research Reviews · doi:10.1016/j.arr.2019.100944 · Cited by 715
History and progress of hypotheses and clinical trials for Alzheimer’s disease
Liu, P.-P., Xie, Y., Meng, X.-Y., & Kang, J.-S. (2019) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-019-0063-8 · Cited by 723
van Sloten, T. T., Sedaghat, S., Carnethon, M. R., Launer, L. J., & Stehouwer, C. D. A. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30405-x · Cited by 702
Type 2 diabetes and cognitive dysfunction–towards effective management of both comorbidities
Srikanth, V., Sinclair, A. J., Hill-Briggs, F., Moran, C., & Biessels, G. J. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(20)30118-2 · Cited by 465
Microbiota-Gut-Brain Axis: New Therapeutic Opportunities
Long-Smith, C., O'Riordan, K. J., Clarke, G., Stanton, C., Dinan, T. G., & Cryan, J. F. (2020) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010919-023628 · Cited by 419
Aluminium toxicosis: a review of toxic actions and effects
Igbokwe, I. O., Igwenagu, E., & Igbokwe, N. A. (2019) · Interdisciplinary Toxicology · doi:10.2478/intox-2019-0007 · Cited by 395
“…of Al in the pathogenesis of diabetes mellitus and the concurrence of neurological disorders associated with Alzheimer’s disease and other dementias (Arnold et al., 2018) point to the common cellular basis of the pathogenesis of both metabolic and cognitive disorders, which can arise from toxic…”
BackgroundCraft, S., Raman, R., Chow, T. W., Rafii, M. S., Sun, C.-K., Rissman, R. A., Donohue, M. C., Brewer, J. B., Jenkins, C., Harless, K., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1840 · Cited by 389
Self-citationAssociation between age at diabetes onset and subsequent risk of dementia
Barbiellini Amidei, C., Fayosse, A., Dumurgier, J., Machado-Fragua, M. D., Tabak, A. G., van Sloten, T., Kivimäki, M., Dugravot, A., Sabia, S., & Singh-Manoux, A. (2021) · JAMA · doi:10.1001/jama.2021.4001 · Cited by 355
Aging and Alzheimer's disease: comparison and associations from molecular to system level
Xia, X., Jiang, Q., McDermott, J., & Han, J. J. (2018) · Aging Cell · doi:10.1111/acel.12802 · Cited by 301
Molecular Mechanisms of Glucocorticoid-Induced Insulin Resistance
Beaupere, C., Liboz, A., Fève, B., Blondeau, B., & Guillemain, G. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22020623 · Cited by 271
Mediterranean diet nutrients to turn the tide against insulin resistance and related diseases
Mirabelli, M., Chiefari, E., Arcidiacono, B., Corigliano, D. M., Brunetti, F. S., Maggisano, V., Russo, D., Foti, D. P., & Brunetti, A. (2020) · Nutrients · doi:10.3390/nu12041066 · Cited by 272
“IR affects approximately 25%–35% of Westernized populations [2] and is consistently associated with obesity [3] and obesity-related complications, such as type 2 diabetes (T2D) mellitus [4], cardiovascular disease (CVD) [5,6], certain types of cancer [7], infertility [8], non-alcoholic fatty liver disease (NAFLD) [9,1…”
BackgroundAntidiabetic agents as a novel treatment for Alzheimer’s and Parkinson’s disease
Nowell, J., Blunt, E., Gupta, D., & Edison, P. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101979 · Cited by 179
Targeting the Incretin/Glucagon System With Triagonists to Treat Diabetes
Capozzi, M. E., DiMarchi, R. D., Tschöp, M. H., Finan, B., & Campbell, J. E. (2018) · Endocrine Reviews · doi:10.1210/er.2018-00117 · Cited by 153
Distribution of insulin in trigeminal nerve and brain after intranasal administration
Lochhead, J. J., Kellohen, K. L., Ronaldson, P. T., & Davis, T. P. (2019) · Scientific Reports · doi:10.1038/s41598-019-39191-5 · Cited by 146
Diabetes drugs in the fight against Alzheimer's disease
Boccardi, V., Murasecco, I., & Mecocci, P. (2019) · Ageing Research Reviews · doi:10.1016/j.arr.2019.100936 · Cited by 142
Hong, C.-T., Chen, K.-Y., Wang, W., Chiu, J.-Y., Wu, D., Chao, T.-Y., Hu, C.-J., Chau, K.-Y., & Bamodu, O. (2020) · Cells · doi:10.3390/cells9030740 · Cited by 133
Incretin and insulin signaling as novel therapeutic targets for Alzheimer’s and Parkinson’s disease
Nowell, J., Blunt, E., & Edison, P. (2023) · Molecular Psychiatry · doi:10.1038/s41380-022-01792-4 · Cited by 136
Hallschmid, M. (2021) · Journal of Neuroendocrinology · doi:10.1111/jne.12934 · Cited by 113
Alzheimer’s disease as type 3 diabetes: understanding the link and implications
Kciuk, M., Kruczkowska, W., Gałęziewska, J., Wanke, K., Kałuzińska-Kołat, Ż., Aleksandrowicz, M., & Kontek, R. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252211955 · Cited by 98
Biliverdin Reductase-A Mediates the Beneficial Effects of Intranasal Insulin in Alzheimer Disease
Barone, E., Tramutola, A., Triani, F., Calcagnini, S., Di Domenico, F., Ripoli, C., Gaetani, S., Grassi, C., Butterfield, D. A., Cassano, T., et al. (2019) · Molecular Neurobiology · doi:10.1007/s12035-018-1231-5 · Cited by 86
Brain-specific repression of AMPKα1 alleviates pathophysiology in Alzheimer’s model mice
Zimmermann, H. R., Yang, W., Kasica, N. P., Zhou, X., Wang, X., Beckelman, B. C., Lee, J., Furdui, C. M., Keene, C. D., & Ma, T. (2020) · Journal of Clinical Investigation · doi:10.1172/jci133982 · Cited by 86
Cheng, D., Yang, S., Zhao, X., & Wang, G. (2022) · Drug Design, Development and Therapy · doi:10.2147/dddt.s348055 · Cited by 84
Yulug, B., Altay, O., Li, X., Hanoglu, L., Cankaya, S., Lam, S., Velioglu, H. A., Yang, H., Coskun, E., Idil, E., et al. (2023) · Translational Neurodegeneration · doi:10.1186/s40035-023-00336-2 · Cited by 79
Li, Q., Jia, M., Yan, Z., Li, Q., Sun, F., He, C., Li, Y., Zhou, X., Zhang, H., Liu, X., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.020734 · Cited by 77
Insulin Resistance in Peripheral Tissues and the Brain: A Tale of Two Sites
Rhea, E. M., Banks, W. A., & Raber, J. (2022) · Biomedicines · doi:10.3390/biomedicines10071582 · Cited by 76
Ettcheto, M., Cano, A., Manzine, P. R., Busquets, O., Verdaguer, E., Castro-Torres, R. D., García, M. L., Beas-Zarate, C., Olloquequi, J., Auladell, C., et al. (2020) · Molecular Neurobiology · doi:10.1007/s12035-019-01849-6 · Cited by 73
Brain insulin resistance triggers early onset Alzheimer disease in Down syndrome
Tramutola, A., Lanzillotta, C., Di Domenico, F., Head, E., Butterfield, D. A., Perluigi, M., & Barone, E. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104772 · Cited by 73
State of the science on brain insulin resistance and cognitive decline due to Alzheimer's disease
Rhea, E. M., Leclerc, M., Yassine, H. N., Capuano, A. W., Tong, H., Petyuk, V. A., Macauley, S. L., Fioramonti, X., Carmichael, O., Calon, F., et al. (2023) · Aging and disease · doi:10.14336/ad.2023.0814 · Cited by 70
Self-citationRole of DPP-4 and SGLT2 Inhibitors Connected to Alzheimer Disease in Type 2 Diabetes Mellitus
Sim, A. Y., Barua, S., Kim, J. Y., Lee, Y.-H., & Lee, J. E. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.708547 · Cited by 62
Yang, Y., & Zhang, L. (2020) · Food & Function · doi:10.1039/c9fo02611h · Cited by 57
Ferreira, S. T. (2021) · Journal of Neuroendocrinology · doi:10.1111/jne.12959 · Cited by 59
High-fat diet-induced activation of SGK1 promotes Alzheimer’s disease-associated tau pathology
Elahi, M., Motoi, Y., Shimonaka, S., Ishida, Y., Hioki, H., Takanashi, M., Ishiguro, K., Imai, Y., & Hattori, N. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab115 · Cited by 57
Insulin action on astrocytes: From energy homeostasis to behaviour
González‐García, I., Gruber, T., & García‐Cáceres, C. (2021) · Journal of Neuroendocrinology · doi:10.1111/jne.12953 · Cited by 52
Peripheral insulin and amylin levels in Parkinson's disease
Sánchez-Gómez, A., Alcarraz-Vizán, G., Fernández, M., Fernández-Santiago, R., Ezquerra, M., Cámara, A., Serrano, M., Novials, A., Muñoz, E., Valldeoriola, F., et al. (2020) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2020.08.018 · Cited by 44
Kim, E., Nohara, K., Wirianto, M., Escobedo, G., Lim, J. Y., Morales, R., Yoo, S.-H., & Chen, Z. (2021) · Biomolecules · doi:10.3390/biom11071004 · Cited by 51
Intergenerational Metabolic Syndrome and Neuronal Network Hyperexcitability in Autism
Rivell, A., & Mattson, M. P. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.08.006 · Cited by 50
Brain insulin action on peripheral insulin sensitivity in women depends on menstrual cycle phase
Hummel, J., Benkendorff, C., Fritsche, L., Prystupa, K., Vosseler, A., Gancheva, S., Trenkamp, S., Birkenfeld, A. L., Preissl, H., Roden, M., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00869-w · Cited by 48
Gentreau, M., Chuy, V., Féart, C., Samieri, C., Ritchie, K., Raymond, M., Berticat, C., & Artero, S. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12114 · Cited by 50
Han, E., Han, K.-D., Lee, B.-W., Kang, E. S., Cha, B.-S., Ko, S.-H., & Lee, Y.-H. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab860 · Cited by 41
Zheng, B., Su, B., Ahmadi‐Abhari, S., Kapogiannis, D., Tzoulaki, I., Riboli, E., & Middleton, L. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13349 · Cited by 34
El Massry, M., Alaeddine, L. M., Ali, L., Saad, C., & Eid, A. A. (2021) · Current Medicinal Chemistry · doi:10.2174/0929867327666200908114902 · Cited by 27
Felisatti, F., Gonneaud, J., Palix, C., Garnier-Crussard, A., Mézenge, F., Landeau, B., Chocat, A., Quillard, A., Ferrand-Devouge, E., de La Sayette, V., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200270 · Cited by 26
Lecis, D., Prandi, F. R., Barone, L., Belli, M., Sergi, D., Longo, S., Muscoli, S., Romeo, F., Federici, M., Lerakis, S., et al. (2023) · Biomolecules · doi:10.3390/biom13121695 · Cited by 23
Tian, S., Tan, S., Jia, W., Zhao, J., & Sun, X. (2021) · Journal of Neurochemistry · doi:10.1111/jnc.15277 · Cited by 20
Ceyzériat, K., Badina, A. M., Petrelli, F., Montessuit, S., Nicolaides, A., Millet, P., Savioz, A., Martinou, J.-C., & Tournier, B. B. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106623 · Cited by 18
Moezzi, S.-M.-I., Mozafari, N., Fazel-Hoseini, S.-M., Nadimi-Parashkoohi, S., Abbasi, H., Ashrafi, H., & Azadi, A. (2020) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.0c00637 · Cited by 13
Sun, H., Gao, X., Niu, J., Chen, P., He, S., Xu, S., & Ge, J. (2024) · eneuro · doi:10.1523/eneuro.0310-24.2024 · Cited by 12
Querfurth, H., Marshall, J., Parang, K., Rioult-Pedotti, M. S., Tiwari, R., Kwon, B., Reisinger, S., & Lee, H.-K. (2022) · PLOS ONE · doi:10.1371/journal.pone.0261696 · Cited by 9
Xie, L., Varathan, P., Nho, K., Saykin, A. J., Salama, P., & Yan, J. (2020) · PLOS ONE · doi:10.1371/journal.pone.0234748 · Cited by 9
Metadata
- Authors
- 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., Holtzman, D. M., & Nathan, D. M.
- Affiliations
- Harvard University (US)
- Rush University Medical Center (US)
- City University of New York (US)
- Johns Hopkins University (US)
- Atrium Health Wake Forest Baptist (US)
- Icahn School of Medicine at Mount Sinai (US)
- Washington University in St. Louis (US)
- Corresponding author
- Arnold, Steven E.
- ORCID
- Venue
- Nature Reviews Neurology
- Published
- 2018-01-29
- Volume
- 14
- Issue
- 3
- Pages
- 168-181
- ISSN
- 1759-4758 (ISSN-L)
- 1759-4766
- PMC
- PMC6098968
- OpenAlex
- W2786962139
- Cited by
- 1,597
- References
- 285
- Citations by year
- 2026: 223 · 2025: 244 · 2024: 218 · 2023: 205 · 2022: 210 · 2021: 176 · 2020: 163 · 2019: 102 · 2018: 52
- FWCI
- 16.18
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Rutgers University Community Repository (Rutgers University) (submittedVersion)
- Funders
- BrightFocus Foundation
- National Institutes of Health
- National Institute on Aging (R21AG051958)
- National Institute of Neurological Disorders and Stroke (R01NS084965)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- brain insulin resistance, type 2 diabetes, Alzheimer's disease, Alzheimer's disease and related dementias, insulin signaling, cognitive impairment, obesity, glia, neurons, neuropathology, comorbidities, aging
- MeSH terms
- Brain, Dementia, Diabetes Mellitus, Type 2, Humans, Insulin, Insulin Resistance
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