The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
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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- 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
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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
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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