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Alzheimer's Disease and Type 2 Diabetes: A Critical Assessment of the Shared Pathological Traits
Open accessAbstract
Alzheimer's disease (AD) and Type 2 Diabetes Mellitus (T2DM) are two of the most prevalent diseases in the elderly population worldwide. A growing body of epidemiological studies suggest that people with T2DM are at a higher risk of developing AD. Likewise, AD brains are less capable of glucose uptake from the surroundings resembling a condition of brain insulin resistance. Pathologically AD is characterized by extracellular plaques of Aβ and intracellular neurofibrillary tangles of hyperphosphorylated tau. T2DM, on the other hand is a metabolic disorder characterized by hyperglycemia and insulin resistance. In this review we have discussed how Insulin resistance in T2DM directly exacerbates Aβ and tau pathologies and elucidated the pathophysiological traits of synaptic dysfunction, inflammation, and autophagic impairments that are common to both diseases and indirectly impact Aβ and tau functions in the neurons. Elucidation of the underlying pathways that connect these two diseases will be immensely valuable for designing novel drug targets for Alzheimer's disease.
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“Although CA1 and CA2 did not show the largest changes in PIK3CA transcriptionally, each exhibited pronounced proteomic evidence of downstream pathway remodeling, suggesting that reduced insulin/PI3K signaling contributes to widespread proteomic synaptic and metabolic compromise in CA1/CA2, 42 , 66 , 67 even when transcriptional changes in PI3K components are modest.”
From Disruption of hippocampal upstream regulators of mTOR and insulin pathways in Down syndrome with Alzheimer's disease neuropathology: Preliminary observations (2026) · cites this paper as [66]
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Cites
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
Endoplasmic Reticulum Stress Links Obesity, Insulin Action, and Type 2 Diabetes
Özcan, U., Cao, Q., Yilmaz, E., Lee, A.-H., Iwakoshi, N. N., Özdelen, E., Tuncman, G., Görgün, C., Glimcher, L. H., & Hotamisligil, G. S. (2004) · Science · doi:10.1126/science.1103160 · Cited by 3,844
Neuropathological alterations in Alzheimer disease
Serrano-Pozo, A., Frosch, M. P., Masliah, E., & Hyman, B. T. (2011) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006189 · Cited by 3,345
Synapse Loss and Microglial Activation Precede Tangles in a P301S Tauopathy Mouse Model
Yoshiyama, Y., Higuchi, M., Zhang, B., Huang, S.-M., Iwata, N., Saido, T. C., Maeda, J., Suhara, T., Trojanowski, J. Q., & Lee, V. M.-Y. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.010 · Cited by 2,208
Oxidative stress and the amyloid beta peptide in Alzheimer’s disease
Cheignon, C., Tomas, M., Bonnefont-Rousselot, D., Faller, P., Hureau, C., & Collin, F. (2018) · Redox Biology · doi:10.1016/j.redox.2017.10.014 · Cited by 2,185
Nelson, P. T., Alafuzoff, I., Bigio, E. H., Bouras, C., Braak, H., Cairns, N. J., Castellani, R. J., Crain, B. J., Davies, P., Tredici, K. D., et al. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31825018f7 · Cited by 2,050 · cited 2×
“A wealth of emerging studies in recent years indicate that the density of the neurofibrillary tau tangles deposited at the neocortex of the brains of MCI patients correlated more strongly with the severity of the disease (Bierer et al., 1995; Nelson et al., 2012).”
BackgroundTalbot, 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
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2009) · Diabetes Care · doi:10.2337/dc09-s062 · Cited by 1,817
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Metadata
- Authors
- Chatterjee, S., & Mudher, A.
- Affiliations
- University of Southampton (GB)
- Corresponding author
- Chatterjee, Shreyasi
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2018-06-08
- Volume
- 12
- Pages
- 383-383
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC6008657
- OpenAlex
- W2804519474
- Cited by
- 270
- References
- 255
- Citations by year
- 2026: 27 · 2025: 41 · 2024: 29 · 2023: 44 · 2022: 39 · 2021: 43 · 2020: 33 · 2019: 13 · 2018: 1
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- ePrints Soton (University of Southampton) (submittedVersion)
- Funders
- University of Southampton
- 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
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, type 2 diabetes, insulin resistance, amyloid-beta, tau hyperphosphorylation, synaptic dysfunction, neuroinflammation, autophagy dysfunction, shared pathophysiology, therapeutic target
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