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Aβ-induced vulnerability propagates via the brain’s default mode network
The link between brain amyloid-β (Aβ), metabolism, and dementia symptoms remains a pressing question in Alzheimer’s disease. Here, using positron emission tomography ([(18)F]florbetapir tracer for Aβ and [(18)F]FDG tracer for glucose metabolism) with a novel analytical framework, we found that Aβ ag...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547716/ https://www.ncbi.nlm.nih.gov/pubmed/31164641 http://dx.doi.org/10.1038/s41467-019-10217-w |
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author | Pascoal, Tharick A. Mathotaarachchi, Sulantha Kang, Min Su Mohaddes, Sara Shin, Monica Park, Ah Yeon Parent, Maxime J. Benedet, Andrea L. Chamoun, Mira Therriault, Joseph Hwang, Heungsun Cuello, A. Claudio Misic, Bratislav Soucy, Jean-Paul Aston, John A. D. Gauthier, Serge Rosa-Neto, Pedro |
author_facet | Pascoal, Tharick A. Mathotaarachchi, Sulantha Kang, Min Su Mohaddes, Sara Shin, Monica Park, Ah Yeon Parent, Maxime J. Benedet, Andrea L. Chamoun, Mira Therriault, Joseph Hwang, Heungsun Cuello, A. Claudio Misic, Bratislav Soucy, Jean-Paul Aston, John A. D. Gauthier, Serge Rosa-Neto, Pedro |
author_sort | Pascoal, Tharick A. |
collection | PubMed |
description | The link between brain amyloid-β (Aβ), metabolism, and dementia symptoms remains a pressing question in Alzheimer’s disease. Here, using positron emission tomography ([(18)F]florbetapir tracer for Aβ and [(18)F]FDG tracer for glucose metabolism) with a novel analytical framework, we found that Aβ aggregation within the brain’s default mode network leads to regional hypometabolism in distant but functionally connected brain regions. Moreover, we found that an interaction between this hypometabolism with overlapping Aβ aggregation is associated with subsequent cognitive decline. These results were also observed in transgenic Aβ rats that do not form neurofibrillary tangles, which support these findings as an independent mechanism of cognitive deterioration. These results suggest a model in which distant Aβ induces regional metabolic vulnerability, whereas the interaction between local Aβ with a vulnerable environment drives the clinical progression of dementia. |
format | Online Article Text |
id | pubmed-6547716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65477162019-06-18 Aβ-induced vulnerability propagates via the brain’s default mode network Pascoal, Tharick A. Mathotaarachchi, Sulantha Kang, Min Su Mohaddes, Sara Shin, Monica Park, Ah Yeon Parent, Maxime J. Benedet, Andrea L. Chamoun, Mira Therriault, Joseph Hwang, Heungsun Cuello, A. Claudio Misic, Bratislav Soucy, Jean-Paul Aston, John A. D. Gauthier, Serge Rosa-Neto, Pedro Nat Commun Article The link between brain amyloid-β (Aβ), metabolism, and dementia symptoms remains a pressing question in Alzheimer’s disease. Here, using positron emission tomography ([(18)F]florbetapir tracer for Aβ and [(18)F]FDG tracer for glucose metabolism) with a novel analytical framework, we found that Aβ aggregation within the brain’s default mode network leads to regional hypometabolism in distant but functionally connected brain regions. Moreover, we found that an interaction between this hypometabolism with overlapping Aβ aggregation is associated with subsequent cognitive decline. These results were also observed in transgenic Aβ rats that do not form neurofibrillary tangles, which support these findings as an independent mechanism of cognitive deterioration. These results suggest a model in which distant Aβ induces regional metabolic vulnerability, whereas the interaction between local Aβ with a vulnerable environment drives the clinical progression of dementia. Nature Publishing Group UK 2019-06-04 /pmc/articles/PMC6547716/ /pubmed/31164641 http://dx.doi.org/10.1038/s41467-019-10217-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pascoal, Tharick A. Mathotaarachchi, Sulantha Kang, Min Su Mohaddes, Sara Shin, Monica Park, Ah Yeon Parent, Maxime J. Benedet, Andrea L. Chamoun, Mira Therriault, Joseph Hwang, Heungsun Cuello, A. Claudio Misic, Bratislav Soucy, Jean-Paul Aston, John A. D. Gauthier, Serge Rosa-Neto, Pedro Aβ-induced vulnerability propagates via the brain’s default mode network |
title | Aβ-induced vulnerability propagates via the brain’s default mode network |
title_full | Aβ-induced vulnerability propagates via the brain’s default mode network |
title_fullStr | Aβ-induced vulnerability propagates via the brain’s default mode network |
title_full_unstemmed | Aβ-induced vulnerability propagates via the brain’s default mode network |
title_short | Aβ-induced vulnerability propagates via the brain’s default mode network |
title_sort | aβ-induced vulnerability propagates via the brain’s default mode network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547716/ https://www.ncbi.nlm.nih.gov/pubmed/31164641 http://dx.doi.org/10.1038/s41467-019-10217-w |
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