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Deficient brain insulin signalling pathway in Alzheimer's disease and diabetes
Open accessAbstract
Brain glucose metabolism is impaired in Alzheimer's disease (AD), the most common form of dementia. Type 2 diabetes mellitus (T2DM) is reported to increase the risk for dementia, including AD, but the underlying mechanism is not understood. Here, we investigated the brain insulin–PI3K–AKT signalling pathway in the autopsied frontal cortices from nine AD, 10 T2DM, eight T2DM–AD and seven control cases. We found decreases in the levels and activities of several components of the insulin–PI3K–AKT signalling pathway in AD and T2DM cases. The deficiency of insulin–PI3K–AKT signalling was more severe in individuals with both T2DM and AD (T2DM–AD). This decrease in insulin–PI3K–AKT signalling could lead to activation of glycogen synthase kinase‐3β, the major tau kinase. The levels and the activation of the insulin–PI3K–AKT signalling components correlated negatively with the level of tau phosphorylation and positively with protein O‐GlcNAcylation, suggesting that impaired insulin–PI3K–AKT signalling might contribute to neurodegeneration in AD through down‐regulation of O‐GlcNAcylation and the consequent promotion of abnormal tau hyperphosphorylation and neurodegeneration. The decrease in brain insulin–PI3K–AKT signalling also correlated with the activation of calpain I in the brain, suggesting that the decrease might be caused by calpain over‐activation. Our findings provide novel insight into the molecular mechanism by which type 2 diabetes mellitus increases the risk for developing cognitive impairment and dementia in Alzheimer's disease. Copyright © 2011 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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Citations
Cites
1 retracted
- Retracted
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
Grundke-Iqbal, I., Iqbal, K., Tung, Y. C., Quinlan, M., Wisniewski, H. M., & Binder, L. I. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.13.4913 · Cited by 3,676
Self-citationAssay of proteins in the presence of interfering materials
Bensadoun, A., & Weinstein, D. (1976) · Analytical Biochemistry · doi:10.1016/s0003-2697(76)80064-4 · Cited by 3,179
Staging of alzheimer's disease-related neurofibrillary changes
Braak, H., & Braak, E. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)00021-6 · Cited by 2,357
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
Steen, 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
The GSK3 hypothesis of Alzheimer’s disease
Hooper, C., Killick, R., & Lovestone, S. (2008) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2007.05194.x · Cited by 1,191
Insulin receptors are widely distributed in the central nervous system of the rat
HAVRANKOVA, J., ROTH, J., & BROWNSTEIN, M. (1978) · Nature · doi:10.1038/272827a0 · Cited by 1,111
O-GlcNAcylation regulates phosphorylation of tau: A mechanism involved in Alzheimer's disease
Liu, F., Iqbal, K., Grundke-Iqbal, I., Hart, G. W., & Gong, C.-X. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400348101 · Cited by 775
Self-citation
Cited by
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
Energy metabolism and inflammation in brain aging and Alzheimer’s disease
Yin, F., Sancheti, H., Patil, I., & Cadenas, E. (2016) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2016.04.200 · Cited by 538
Inconsistencies and Controversies Surrounding the Amyloid Hypothesis of Alzheimer's Disease
Morris, G. P., Clark, I. A., & Vissel, B. (2014) · Acta Neuropathologica Communications · doi:10.1186/s40478-014-0135-5 · Cited by 522
Altered Insulin Signaling in Alzheimer’s Disease Brain – Special Emphasis on PI3K-Akt Pathway
Gabbouj, S., Ryhänen, S., Marttinen, M., Wittrahm, R., Takalo, M., Kemppainen, S., Martiskainen, H., Tanila, H., Haapasalo, A., Hiltunen, M., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00629 · Cited by 401
Cano, A., Ettcheto, M., Chang, J.-H., Barroso, E., Espina, M., Kühne, B. A., Barenys, M., Auladell, C., Folch, J., Souto, E. B., et al. (2019) · Journal of Controlled Release · doi:10.1016/j.jconrel.2019.03.010 · Cited by 337
Insulin resistance in the nervous system
Kim, B., & Feldman, E. L. (2012) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2011.12.004 · Cited by 321
Mammalian/mechanistic target of rapamycin (mTOR) complexes in neurodegeneration
Querfurth, H., & Lee, H.-K. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00428-5 · Cited by 288
Diabetes mellitus and Alzheimer's disease: GSK-3β as a potential link
Zhang, Y., Huang, N.-Q., Yan, F., Jin, H., Zhou, S.-Y., Shi, J.-S., & Jin, F. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.11.015 · Cited by 301
The role of glucose transporters in brain disease: Diabetes and Alzheimer’s disease
Shah, K., DeSilva, S., & Abbruscato, T. (2012) · International Journal of Molecular Sciences · doi:10.3390/ijms131012629 · Cited by 288
The Impact of Disease Comorbidities in Alzheimer’s Disease
Santiago, J. A., & Potashkin, J. A. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.631770 · Cited by 259
The brain as an insulin-sensitive metabolic organ
Milstein, J. L., & Ferris, H. A. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101234 · Cited by 259
Glucose Transporters in Brain: In Health and in Alzheimer’s Disease
Szablewski, L. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-160841 · Cited by 211
Tau deletion promotes brain insulin resistance
Marciniak, E., Leboucher, A., Caron, E., Ahmed, T., Tailleux, A., Dumont, J., Issad, T., Gerhardt, E., Pagesy, P., Vileno, M., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20161731 · Cited by 205
Lima, J. E. B. F., Moreira, N. C. S., & Sakamoto-Hojo, E. T. (2022) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/j.mrgentox.2021.503437 · Cited by 203
Salameh, T. S., Rhea, E. M., Talbot, K., & Banks, W. A. (2020) · Biochemical Pharmacology · doi:10.1016/j.bcp.2020.114187 · Cited by 188
Insulin in the nervous system and the mind: Functions in metabolism, memory, and mood
Lee, S.-H., Zabolotny, J. M., Huang, H., Lee, H., & Kim, Y.-B. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.06.011 · Cited by 176
Blood-Brain Glucose Transfer in Alzheimer’s disease: Effect of GLP-1 Analog Treatment
Gejl, M., Brock, B., Egefjord, L., Vang, K., Rungby, J., & Gjedde, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-17718-y · Cited by 163
Petrov, D., Pedrós, I., Artiach, G., Sureda, F. X., Barroso, E., Pallàs, M., Casadesús, G., Beas-Zarate, C., Carro, E., Ferrer, I., et al. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2015.05.004 · Cited by 163
Chakrabarti, S., Kumar Khemka, V., Banerjee, A., Chatterjee, G., Ganguly, A., & Biswas, A. (2015) · Aging and disease · doi:10.14336/ad.2014.002 · Cited by 134
Cognitive dysfunction: a growing link between diabetes and Alzheimer’s disease
Jash, K., Gondaliya, P., Kirave, P., Kulkarni, B., Sunkaria, A., & Kalia, K. (2020) · Drug Development Research · doi:10.1002/ddr.21579 · Cited by 119
Garwood, C. J., Ratcliffe, L. E., Morgan, S. V., Simpson, J. E., Owens, H., Vazquez-Villaseñor, I., Heath, P. R., Romero, I. A., Ince, P. G., & Wharton, S. B. (2015) · Molecular Brain · doi:10.1186/s13041-015-0138-6 · Cited by 101
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
Antidiabetic Drugs for the Risk of Alzheimer Disease in Patients With Type 2 DM Using FAERS
Akimoto, H., Negishi, A., Oshima, S., Wakiyama, H., Okita, M., Horii, N., Inoue, N., Ohshima, S., & Kobayashi, D. (2020) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317519899546 · Cited by 89
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
Pinho, T. S., Correia, S. C., Perry, G., Ambrósio, A. F., & Moreira, P. I. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2018.10.037 · Cited by 70
Role 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
Decourt, B., D’Souza, G. X., Shi, J., Ritter, A., Suazo, J., & Sabbagh, M. N. (2022) · Aging and disease · doi:10.14336/ad.2021.0529 · Cited by 69
Agrawal, M., Perumal, Y., Bansal, S., Arora, S., & Chopra, K. (2020) · Food and Chemical Toxicology · doi:10.1016/j.fct.2020.111684 · Cited by 54
Salameh, T. S., Rhea, E. M., Banks, W. A., & Hanson, A. J. (2016) · Experimental Biology and Medicine · doi:10.1177/1535370216660770 · Cited by 51
Zhang, Y., Yin, F., Liu, J., Liu, Z., Guo, L., Xia, Z., & Zidichouski, J. (2015) · Neurochemistry International · doi:10.1016/j.neuint.2015.04.002 · Cited by 45
Kahl, K. G., Georgi, K., Bleich, S., Muschler, M., Hillemacher, T., Hilfiker-Kleinert, D., Schweiger, U., Ding, X., Kotsiari, A., & Frieling, H. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.02.002 · Cited by 44
Ong, Q.-R., Chan, E. S., Lim, M.-L., Cole, G. M., & Wong, B.-S. (2014) · Scientific Reports · doi:10.1038/srep03754 · Cited by 44
Bhatti, J. S., Thamarai, K., Kandimalla, R., Manczak, M., Yin, X., Kumar, S., Vijayan, M., & Reddy, P. H. (2021) · Molecular Neurobiology · doi:10.1007/s12035-020-02142-7 · Cited by 41
Zaręba-Kozioł, M., Szwajda, A., Dadlez, M., Wysłouch-Cieszyńska, A., & Lalowski, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.036079 · Cited by 39
Zhang, Y., Yin, F., Liu, J., & Liu, Z. (2016) · Chemical Biology & Drug Design · doi:10.1111/cbdd.12673 · Cited by 34
Wu, Z., Chen, C., Kang, S. S., Liu, X., Gu, X., Yu, S. P., Keene, C. D., Cheng, L., & Ye, K. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2100986118 · Cited by 34
Bhatti, J. S., Tamarai, K., Kandimalla, R., Manczak, M., Yin, X., Ramasubramanian, B., Sawant, N., Pradeepkiran, J. A., Vijayan, M., Kumar, S., et al. (2021) · Mitochondrion · doi:10.1016/j.mito.2021.02.007 · Cited by 30
Ho, L., Yemul, S., Knable, L., Katsel, P., Zhao, R., Haroutunian, V., & Pasinetti, G. M. (2012) · International Journal of Alzheimer's Disease · doi:10.1155/2012/321280 · Cited by 21
Khezri, M. R., & Ghasemnejad-Berenji, M. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-220873 · 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
Metadata
- Authors
- Liu, Y., Liu, F., Grundke‐Iqbal, I., Iqbal, K., & Gong, C.
- Venue
- The Journal of Pathology
- Publisher
- Wiley
- Published
- 2011-05-19
- Volume
- 225
- Issue
- 1
- Pages
- 54-62
- ISSN
- 0022-3417 (ISSN-L)
- 1096-9896
- OpenAlex
- W2022153484
- Cited by
- 502
- References
- 58
- FWCI
- 22.15
- Type
- journal article
- Language
- en
- Open access
- green
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