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The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer's Disease
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, neu...
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Published in: | Frontiers in aging neuroscience 2015-09, Vol.7, p.181-181 |
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creator | 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 |
description | 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.
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.
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.
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. |
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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.
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.
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.</description><identifier>ISSN: 1663-4365</identifier><identifier>EISSN: 1663-4365</identifier><identifier>DOI: 10.3389/fnagi.2015.00181</identifier><identifier>PMID: 26483681</identifier><language>eng</language><publisher>Switzerland: Frontiers Research Foundation</publisher><subject>Alzheimer's disease ; Apolipoprotein E ; Biochemical markers ; Biomarkers ; Brain research ; Cognition & reasoning ; Cognitive ability ; Cohort analysis ; cohort study ; Dementia ; Dementia disorders ; Early detection ; Learning algorithms ; Magnetic resonance imaging ; Medical imaging ; Medical screening ; Mental disorders ; Mild Cognitive Impairment ; Neuroscience ; NMR ; Nuclear magnetic resonance ; risk factors ; Well being</subject><ispartof>Frontiers in aging neuroscience, 2015-09, Vol.7, p.181-181</ispartof><rights>2015. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>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. 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</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-71efdb5b0408932269a537517190e84ccc914c30a9428d2c506e31f7a5aba01e3</citedby><cites>FETCH-LOGICAL-c490t-71efdb5b0408932269a537517190e84ccc914c30a9428d2c506e31f7a5aba01e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2301509347/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2301509347?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26483681$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Olazarán, Javier</creatorcontrib><creatorcontrib>Valentí, Meritxell</creatorcontrib><creatorcontrib>Frades, Belén</creatorcontrib><creatorcontrib>Zea-Sevilla, María Ascensión</creatorcontrib><creatorcontrib>Ávila-Villanueva, Marina</creatorcontrib><creatorcontrib>Fernández-Blázquez, Miguel Ángel</creatorcontrib><creatorcontrib>Calero, Miguel</creatorcontrib><creatorcontrib>Dobato, José Luis</creatorcontrib><creatorcontrib>Hernández-Tamames, Juan Antonio</creatorcontrib><creatorcontrib>León-Salas, Beatriz</creatorcontrib><creatorcontrib>Agüera-Ortiz, Luis</creatorcontrib><creatorcontrib>López-Álvarez, Jorge</creatorcontrib><creatorcontrib>Larrañaga, Pedro</creatorcontrib><creatorcontrib>Bielza, Concha</creatorcontrib><creatorcontrib>Álvarez-Linera, Juan</creatorcontrib><creatorcontrib>Martínez-Martín, Pablo</creatorcontrib><title>The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer's Disease</title><title>Frontiers in aging neuroscience</title><addtitle>Front Aging Neurosci</addtitle><description>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.
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.
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.
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.</description><subject>Alzheimer's disease</subject><subject>Apolipoprotein E</subject><subject>Biochemical markers</subject><subject>Biomarkers</subject><subject>Brain research</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>Cohort analysis</subject><subject>cohort study</subject><subject>Dementia</subject><subject>Dementia disorders</subject><subject>Early detection</subject><subject>Learning algorithms</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Medical screening</subject><subject>Mental disorders</subject><subject>Mild Cognitive 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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><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-71efdb5b0408932269a537517190e84ccc914c30a9428d2c506e31f7a5aba01e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Alzheimer's disease</topic><topic>Apolipoprotein E</topic><topic>Biochemical markers</topic><topic>Biomarkers</topic><topic>Brain research</topic><topic>Cognition & reasoning</topic><topic>Cognitive ability</topic><topic>Cohort analysis</topic><topic>cohort study</topic><topic>Dementia</topic><topic>Dementia disorders</topic><topic>Early detection</topic><topic>Learning algorithms</topic><topic>Magnetic resonance 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Pablo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer's Disease</atitle><jtitle>Frontiers in aging neuroscience</jtitle><addtitle>Front Aging Neurosci</addtitle><date>2015-09-30</date><risdate>2015</risdate><volume>7</volume><spage>181</spage><epage>181</epage><pages>181-181</pages><issn>1663-4365</issn><eissn>1663-4365</eissn><abstract>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.
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.
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.
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.</abstract><cop>Switzerland</cop><pub>Frontiers Research Foundation</pub><pmid>26483681</pmid><doi>10.3389/fnagi.2015.00181</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alzheimer's disease Apolipoprotein E Biochemical markers Biomarkers Brain research Cognition & reasoning Cognitive ability Cohort analysis cohort study Dementia Dementia disorders Early detection Learning algorithms Magnetic resonance imaging Medical imaging Medical screening Mental disorders Mild Cognitive Impairment Neuroscience NMR Nuclear magnetic resonance risk factors Well being |
title | The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer's Disease |
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