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The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease
INTRODUCTION: Alzheimer’s disease (AD) is a major threat for the well-being of an increasingly aged world population. The physiopathological mechanisms of late-onset AD are multiple, possibly heterogeneous, and not well understood. Different combinations of variables from several domains (i.e., clin...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4588692/ https://www.ncbi.nlm.nih.gov/pubmed/26483681 http://dx.doi.org/10.3389/fnagi.2015.00181 |
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author | Olazarán, Javier Valentí, Meritxell Frades, Belén Zea-Sevilla, María Ascensión Ávila-Villanueva, Marina Fernández-Blázquez, Miguel Ángel Calero, Miguel Dobato, José Luis Hernández-Tamames, Juan Antonio León-Salas, Beatriz Agüera-Ortiz, Luis López-Álvarez, Jorge Larrañaga, Pedro Bielza, Concha Álvarez-Linera, Juan Martínez-Martín, Pablo |
author_facet | Olazarán, Javier Valentí, Meritxell Frades, Belén Zea-Sevilla, María Ascensión Ávila-Villanueva, Marina Fernández-Blázquez, Miguel Ángel Calero, Miguel Dobato, José Luis Hernández-Tamames, Juan Antonio León-Salas, Beatriz Agüera-Ortiz, Luis López-Álvarez, Jorge Larrañaga, Pedro Bielza, Concha Álvarez-Linera, Juan Martínez-Martín, Pablo |
author_sort | Olazarán, Javier |
collection | PubMed |
description | INTRODUCTION: Alzheimer’s disease (AD) is a major threat for the well-being of an increasingly aged world population. The physiopathological mechanisms of late-onset AD are multiple, possibly heterogeneous, and not well understood. Different combinations of variables from several domains (i.e., clinical, neuropsychological, structural, and biochemical markers) may predict dementia conversion, according to distinct physiopathological pathways, in different groups of subjects. METHODS: We launched the Vallecas Project (VP), a cohort study of non-demented people aged 70–85, to characterize the social, clinical, neuropsychological, structural, and biochemical underpinnings of AD inception. Given the exploratory nature of the VP, multidimensional and machine learning techniques will be applied, in addition to the traditional multivariate statistical methods. RESULTS: A total of 1169 subjects were recruited between October 2011 and December 2013. Mean age was 74.4 years (SD 3.9), 63.5% of the subjects were women, and 17.9% of the subjects were carriers of at least one ε4 allele of the apolipoprotein E gene. Cognitive diagnoses at inclusion were as follows: normal cognition 93.0% and mild cognitive impairment (MCI) 7.0% (3.1% amnestic MCI, 0.1% non-amnestic MCI, 3.8% mixed MCI). Blood samples were obtained and stored for future determinations in 99.9% of the subjects and 3T magnetic resonance imaging study was conducted in 89.9% of the volunteers. The cohort is being followed up annually for 4 years after the baseline. CONCLUSION: We have established a valuable homogeneous single-center cohort which, by identifying groups of variables associated with high risk of MCI or dementia conversion, should help to clarify the early physiopathological mechanisms of AD and should provide avenues for prompt diagnosis and AD prevention. |
format | Online Article Text |
id | pubmed-4588692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45886922015-10-19 The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease Olazarán, Javier Valentí, Meritxell Frades, Belén Zea-Sevilla, María Ascensión Ávila-Villanueva, Marina Fernández-Blázquez, Miguel Ángel Calero, Miguel Dobato, José Luis Hernández-Tamames, Juan Antonio León-Salas, Beatriz Agüera-Ortiz, Luis López-Álvarez, Jorge Larrañaga, Pedro Bielza, Concha Álvarez-Linera, Juan Martínez-Martín, Pablo Front Aging Neurosci Neuroscience INTRODUCTION: Alzheimer’s disease (AD) is a major threat for the well-being of an increasingly aged world population. The physiopathological mechanisms of late-onset AD are multiple, possibly heterogeneous, and not well understood. Different combinations of variables from several domains (i.e., clinical, neuropsychological, structural, and biochemical markers) may predict dementia conversion, according to distinct physiopathological pathways, in different groups of subjects. METHODS: We launched the Vallecas Project (VP), a cohort study of non-demented people aged 70–85, to characterize the social, clinical, neuropsychological, structural, and biochemical underpinnings of AD inception. Given the exploratory nature of the VP, multidimensional and machine learning techniques will be applied, in addition to the traditional multivariate statistical methods. RESULTS: A total of 1169 subjects were recruited between October 2011 and December 2013. Mean age was 74.4 years (SD 3.9), 63.5% of the subjects were women, and 17.9% of the subjects were carriers of at least one ε4 allele of the apolipoprotein E gene. Cognitive diagnoses at inclusion were as follows: normal cognition 93.0% and mild cognitive impairment (MCI) 7.0% (3.1% amnestic MCI, 0.1% non-amnestic MCI, 3.8% mixed MCI). Blood samples were obtained and stored for future determinations in 99.9% of the subjects and 3T magnetic resonance imaging study was conducted in 89.9% of the volunteers. The cohort is being followed up annually for 4 years after the baseline. CONCLUSION: We have established a valuable homogeneous single-center cohort which, by identifying groups of variables associated with high risk of MCI or dementia conversion, should help to clarify the early physiopathological mechanisms of AD and should provide avenues for prompt diagnosis and AD prevention. Frontiers Media S.A. 2015-09-30 /pmc/articles/PMC4588692/ /pubmed/26483681 http://dx.doi.org/10.3389/fnagi.2015.00181 Text en Copyright © 2015 Olazarán, Valentí, Frades, Zea-Sevilla, Ávila-Villanueva, Fernández-Blázquez, Calero, Dobato, Hernández-Tamames, León-Salas, Agüera-Ortiz, López-Álvarez, Larrañaga, Bielza, Álvarez-Linera and Martínez-Martín. 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 Olazarán, Javier Valentí, Meritxell Frades, Belén Zea-Sevilla, María Ascensión Ávila-Villanueva, Marina Fernández-Blázquez, Miguel Ángel Calero, Miguel Dobato, José Luis Hernández-Tamames, Juan Antonio León-Salas, Beatriz Agüera-Ortiz, Luis López-Álvarez, Jorge Larrañaga, Pedro Bielza, Concha Álvarez-Linera, Juan Martínez-Martín, Pablo The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease |
title | The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease |
title_full | The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease |
title_fullStr | The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease |
title_full_unstemmed | The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease |
title_short | The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease |
title_sort | vallecas project: a cohort to identify early markers and mechanisms of alzheimer’s disease |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4588692/ https://www.ncbi.nlm.nih.gov/pubmed/26483681 http://dx.doi.org/10.3389/fnagi.2015.00181 |
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