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Unique regional patterns of amyloid burden predict progression to prodromal and clinical stages of Alzheimer's disease
Although beta-amyloid (Aβ) positivity has shown to be associated with higher risk of progression to Alzheimer's disease (AD) in mild cognitive impairment (MCI), information on the time to conversion to manifest dementia cannot be readily deduced from this binary classification. Here, we assesse...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461082/ https://www.ncbi.nlm.nih.gov/pubmed/34284259 http://dx.doi.org/10.1016/j.neurobiolaging.2021.06.014 |
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author | Pfeil, Julia Hoenig, Merle C. Doering, Elena van Eimeren, Thilo Drzezga, Alexander Bischof, Gérard N. |
author_facet | Pfeil, Julia Hoenig, Merle C. Doering, Elena van Eimeren, Thilo Drzezga, Alexander Bischof, Gérard N. |
author_sort | Pfeil, Julia |
collection | PubMed |
description | Although beta-amyloid (Aβ) positivity has shown to be associated with higher risk of progression to Alzheimer's disease (AD) in mild cognitive impairment (MCI), information on the time to conversion to manifest dementia cannot be readily deduced from this binary classification. Here, we assessed if regional patterns of Aβ deposition measured with (18)F-florbetapir may serve as biomarker for progression risk in Aβ-positive cognitively normal (CN) and MCI patients, including clinical follow-up data and cerebrospinal fluid (CSF) biomarkers. Voxel-wise group comparisons between age and sex-matched Aβ-positive groups (i.e., CN-stables [n = 38] vs. CN-to-MCI/AD progressors [n = 38], MCI-stables [n = 104] versus MCI-to-AD progressors [n = 104]) revealed higher Aβ burden in precuneus, subcortical, and parietal regions in CN-to-MCI/AD progressors and cingulate, temporal, and frontal regions in MCI-to-AD progressors. Importantly, these regional patterns predicted progression to advanced stages on the AD spectrum in the short and the long-term beyond global Aβ burden and CSF biomarkers. These results suggest that distinct regional patterns of Aβ burden are a valuable biomarker for risk of disease progression in CN and MCI. |
format | Online Article Text |
id | pubmed-8461082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84610822021-10-01 Unique regional patterns of amyloid burden predict progression to prodromal and clinical stages of Alzheimer's disease Pfeil, Julia Hoenig, Merle C. Doering, Elena van Eimeren, Thilo Drzezga, Alexander Bischof, Gérard N. Neurobiol Aging Article Although beta-amyloid (Aβ) positivity has shown to be associated with higher risk of progression to Alzheimer's disease (AD) in mild cognitive impairment (MCI), information on the time to conversion to manifest dementia cannot be readily deduced from this binary classification. Here, we assessed if regional patterns of Aβ deposition measured with (18)F-florbetapir may serve as biomarker for progression risk in Aβ-positive cognitively normal (CN) and MCI patients, including clinical follow-up data and cerebrospinal fluid (CSF) biomarkers. Voxel-wise group comparisons between age and sex-matched Aβ-positive groups (i.e., CN-stables [n = 38] vs. CN-to-MCI/AD progressors [n = 38], MCI-stables [n = 104] versus MCI-to-AD progressors [n = 104]) revealed higher Aβ burden in precuneus, subcortical, and parietal regions in CN-to-MCI/AD progressors and cingulate, temporal, and frontal regions in MCI-to-AD progressors. Importantly, these regional patterns predicted progression to advanced stages on the AD spectrum in the short and the long-term beyond global Aβ burden and CSF biomarkers. These results suggest that distinct regional patterns of Aβ burden are a valuable biomarker for risk of disease progression in CN and MCI. Elsevier 2021-10 /pmc/articles/PMC8461082/ /pubmed/34284259 http://dx.doi.org/10.1016/j.neurobiolaging.2021.06.014 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Pfeil, Julia Hoenig, Merle C. Doering, Elena van Eimeren, Thilo Drzezga, Alexander Bischof, Gérard N. Unique regional patterns of amyloid burden predict progression to prodromal and clinical stages of Alzheimer's disease |
title | Unique regional patterns of amyloid burden predict progression to prodromal and clinical stages of Alzheimer's disease |
title_full | Unique regional patterns of amyloid burden predict progression to prodromal and clinical stages of Alzheimer's disease |
title_fullStr | Unique regional patterns of amyloid burden predict progression to prodromal and clinical stages of Alzheimer's disease |
title_full_unstemmed | Unique regional patterns of amyloid burden predict progression to prodromal and clinical stages of Alzheimer's disease |
title_short | Unique regional patterns of amyloid burden predict progression to prodromal and clinical stages of Alzheimer's disease |
title_sort | unique regional patterns of amyloid burden predict progression to prodromal and clinical stages of alzheimer's disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461082/ https://www.ncbi.nlm.nih.gov/pubmed/34284259 http://dx.doi.org/10.1016/j.neurobiolaging.2021.06.014 |
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