Metabolic syndrome as a risk factor for Alzheimer's disease: Is Aβ a crucial factor in both pathologies?
Abstract
SIGNIFICANCE: Recently, chronic degenerative diseases have become one of the main health problems worldwide. That is the case of Alzheimer's disease (AD) and metabolic syndrome (MetS), whose expression can be influenced by different risk factors. Recent Advances: In recent decades, it has been widely described that MetS increases the risk of cognitive impairment and dementia. MetS pathogenesis involves several vascular risk factors such as diabetes, dyslipidemia, hypertension, and insulin resistance (I/R). CRITICAL ISSUES: Reported evidence shows that vascular risk factors are associated with AD, particularly in the development of protein aggregation, inflammation, oxidative stress, neuronal dysfunction, and disturbances in signaling pathways, with insulin receptor signaling being a common alteration between MetS and AD. FUTURE DIRECTIONS: Insulin signaling has been involved in tau phosphorylation and amyloid β (Aβ) metabolism. However, it has also been demonstrated that Aβ oligomers can bind to insulin receptors, triggering their internalization, decreasing neuron responsiveness to insulin, and promoting insulin I/R. Thus, it could be argued that Aβ could be a convergent factor in the development of both pathologies. Antioxid. Redox Signal. 26, 542-560.
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Metabolic syndrome, including insulin resistance and obesity, is an essential risk factor for cognitive impairment and dementia disorders.
“Campos-Peña et al. 46 reported that metabolic syndrome, including insulin resistance and obesity, is an essential risk factor for cognitive impairment and dementia disorders.46”
From The role of gut dysbiosis in Parkinson’s disease: mechanistic insights and therapeutic options (2021) · cites this paper as [46]
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Neprilysin-2 Is an Important β-Amyloid Degrading Enzyme
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Ou, Z., Deng, L., Lu, Z., Wu, F., Liu, W., Huang, D., & Peng, Y. (2020) · Nutrition & Diabetes · doi:10.1038/s41387-020-0115-8 · Cited by 328 · see citing works
The role of gut dysbiosis in Parkinson’s disease: mechanistic insights and therapeutic options
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- Authors
- Campos-Peña, V., Toral-Rios, D., Becerril-Pérez, F., Sánchez-Torres, C., Delgado-Namorado, Y., Torres-Ossorio, E., Franco-Bocanegra, D., & Carvajal, K.
- Affiliations
- Instituto Nacional de Neurología y Neurocirugía
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
- Universidad Nacional Autónoma de México (MX)
- Universidad Autónoma Metropolitana (MX)
- Instituto Nacional de Pediatria (MX)
- Venue
- Antioxidants & Redox Signaling
- Publisher
- SAGE Publications
- Published
- 2017-04
- Volume
- 26
- Issue
- 10
- Pages
- 542-560
- ISSN
- 1523-0864 (ISSN-L)
- 1557-7716
- OpenAlex
- W2511136862
- Cited by
- 58
- References
- 232
- Citations by year
- 2026: 3 · 2024: 6 · 2023: 8 · 2022: 11 · 2021: 10 · 2020: 8 · 2019: 2 · 2018: 3 · 2017: 6 · 2016: 1
- FWCI
- 0.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Antioxidants and Redox Signaling (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- metabolic syndrome, Alzheimer's disease, amyloid-beta, insulin resistance, insulin signaling, insulin receptor, tau phosphorylation, vascular risk factors, dementia, oxidative stress, inflammation, protein aggregation, insulin receptor internalization
- MeSH terms
- Alzheimer Disease, Animals, Brain, Humans, Inflammation, Insulin Resistance, Neurons, Risk Factors, Signal Transduction, Amyloid beta-Peptides, Oxidative Stress, Metabolic Syndrome, Lipid Metabolism, Proteolysis, Protein Aggregation, Pathological
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 ›
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