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Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease
Current hypotheses and theories regarding the pathogenesis of Alzheimer’s disease (AD) heavily implicate brain insulin resistance (IR) as a key factor. Despite the many well-validated metrics for systemic IR, the absence of biomarkers for brain-specific IR represents a translational gap that has hin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413582/ https://www.ncbi.nlm.nih.gov/pubmed/28515688 http://dx.doi.org/10.3389/fnagi.2017.00118 |
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author | Mullins, Roger J. Diehl, Thomas C. Chia, Chee W. Kapogiannis, Dimitrios |
author_facet | Mullins, Roger J. Diehl, Thomas C. Chia, Chee W. Kapogiannis, Dimitrios |
author_sort | Mullins, Roger J. |
collection | PubMed |
description | Current hypotheses and theories regarding the pathogenesis of Alzheimer’s disease (AD) heavily implicate brain insulin resistance (IR) as a key factor. Despite the many well-validated metrics for systemic IR, the absence of biomarkers for brain-specific IR represents a translational gap that has hindered its study in living humans. In our lab, we have been working to develop biomarkers that reflect the common mechanisms of brain IR and AD that may be used to follow their engagement by experimental treatments. We present two promising biomarkers for brain IR in AD: insulin cascade mediators probed in extracellular vesicles (EVs) enriched for neuronal origin, and two-dimensional magnetic resonance spectroscopy (MRS) measures of brain glucose. As further evidence for a fundamental link between brain IR and AD, we provide a novel analysis demonstrating the close spatial correlation between brain expression of genes implicated in IR (using Allen Human Brain Atlas data) and tau and beta-amyloid pathologies. We proceed to propose the bold hypotheses that baseline differences in the metabolic reliance on glycolysis, and the expression of glucose transporters (GLUT) and insulin signaling genes determine the vulnerability of different brain regions to Tau and/or Amyloid beta (Aβ) pathology, and that IR is a critical link between these two pathologies that define AD. Lastly, we provide an overview of ongoing clinical trials that target IR as an angle to treat AD, and suggest how biomarkers may be used to evaluate treatment efficacy and target engagement. |
format | Online Article Text |
id | pubmed-5413582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54135822017-05-17 Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease Mullins, Roger J. Diehl, Thomas C. Chia, Chee W. Kapogiannis, Dimitrios Front Aging Neurosci Neuroscience Current hypotheses and theories regarding the pathogenesis of Alzheimer’s disease (AD) heavily implicate brain insulin resistance (IR) as a key factor. Despite the many well-validated metrics for systemic IR, the absence of biomarkers for brain-specific IR represents a translational gap that has hindered its study in living humans. In our lab, we have been working to develop biomarkers that reflect the common mechanisms of brain IR and AD that may be used to follow their engagement by experimental treatments. We present two promising biomarkers for brain IR in AD: insulin cascade mediators probed in extracellular vesicles (EVs) enriched for neuronal origin, and two-dimensional magnetic resonance spectroscopy (MRS) measures of brain glucose. As further evidence for a fundamental link between brain IR and AD, we provide a novel analysis demonstrating the close spatial correlation between brain expression of genes implicated in IR (using Allen Human Brain Atlas data) and tau and beta-amyloid pathologies. We proceed to propose the bold hypotheses that baseline differences in the metabolic reliance on glycolysis, and the expression of glucose transporters (GLUT) and insulin signaling genes determine the vulnerability of different brain regions to Tau and/or Amyloid beta (Aβ) pathology, and that IR is a critical link between these two pathologies that define AD. Lastly, we provide an overview of ongoing clinical trials that target IR as an angle to treat AD, and suggest how biomarkers may be used to evaluate treatment efficacy and target engagement. Frontiers Media S.A. 2017-05-03 /pmc/articles/PMC5413582/ /pubmed/28515688 http://dx.doi.org/10.3389/fnagi.2017.00118 Text en Copyright © 2017 Mullins, Diehl, Chia and Kapogiannis. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Mullins, Roger J. Diehl, Thomas C. Chia, Chee W. Kapogiannis, Dimitrios Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease |
title | Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease |
title_full | Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease |
title_fullStr | Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease |
title_full_unstemmed | Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease |
title_short | Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease |
title_sort | insulin resistance as a link between amyloid-beta and tau pathologies in alzheimer’s disease |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413582/ https://www.ncbi.nlm.nih.gov/pubmed/28515688 http://dx.doi.org/10.3389/fnagi.2017.00118 |
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