Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.

Different inflammatory and metabolic pathways have been associated with Alzheimeŕs disease (AD). However, only recently multi-analyte panels to study a large number of molecules in well characterized cohorts have been made available. These panels could help identify molecules that point to the affec...

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Autores principales:	Jon B Toledo, Xiao Da, Priyanka Bhatt, David A Wolk, Steven E Arnold, Leslie M Shaw, John Q Trojanowski, Christos Davatzikos, Alzheimer’s Disease Neuroimaging Initiative
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/203e957beed44155bfa43223d1f8786c
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spelling	oai:doaj.org-article:203e957beed44155bfa43223d1f8786c2021-11-18T07:58:11ZRelationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.1932-620310.1371/journal.pone.0055531https://doaj.org/article/203e957beed44155bfa43223d1f8786c2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23408997/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Different inflammatory and metabolic pathways have been associated with Alzheimeŕs disease (AD). However, only recently multi-analyte panels to study a large number of molecules in well characterized cohorts have been made available. These panels could help identify molecules that point to the affected pathways. We studied the relationship between a panel of plasma biomarkers (Human DiscoveryMAP) and presence of AD-like brain atrophy patterns defined by a previously published index (SPARE-AD) at baseline in subjects of the ADNI cohort. 818 subjects had MRI-derived SPARE-AD scores, of these subjects 69% had plasma biomarkers and 51% had CSF tau and Aβ measurements. Significant analyte-SPARE-AD and analytes correlations were studied in adjusted models. Plasma cortisol and chromogranin A showed a significant association that did not remain significant in the CSF signature adjusted model. Plasma macrophage inhibitory protein-1α and insulin-like growth factor binding protein 2 showed a significant association with brain atrophy in the adjusted model. Cortisol levels showed an inverse association with tests measuring processing speed. Our results indicate that stress and insulin responses and cytokines associated with recruitment of inflammatory cells in MCI-AD are associated with its characteristic AD-like brain atrophy pattern and correlate with clinical changes or CSF biomarkers.Jon B ToledoXiao DaPriyanka BhattDavid A WolkSteven E ArnoldLeslie M ShawJohn Q TrojanowskiChristos DavatzikosAlzheimer’s Disease Neuroimaging InitiativePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 2, p e55531 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jon B Toledo Xiao Da Priyanka Bhatt David A Wolk Steven E Arnold Leslie M Shaw John Q Trojanowski Christos Davatzikos Alzheimer’s Disease Neuroimaging Initiative Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.
description	Different inflammatory and metabolic pathways have been associated with Alzheimeŕs disease (AD). However, only recently multi-analyte panels to study a large number of molecules in well characterized cohorts have been made available. These panels could help identify molecules that point to the affected pathways. We studied the relationship between a panel of plasma biomarkers (Human DiscoveryMAP) and presence of AD-like brain atrophy patterns defined by a previously published index (SPARE-AD) at baseline in subjects of the ADNI cohort. 818 subjects had MRI-derived SPARE-AD scores, of these subjects 69% had plasma biomarkers and 51% had CSF tau and Aβ measurements. Significant analyte-SPARE-AD and analytes correlations were studied in adjusted models. Plasma cortisol and chromogranin A showed a significant association that did not remain significant in the CSF signature adjusted model. Plasma macrophage inhibitory protein-1α and insulin-like growth factor binding protein 2 showed a significant association with brain atrophy in the adjusted model. Cortisol levels showed an inverse association with tests measuring processing speed. Our results indicate that stress and insulin responses and cytokines associated with recruitment of inflammatory cells in MCI-AD are associated with its characteristic AD-like brain atrophy pattern and correlate with clinical changes or CSF biomarkers.
format	article
author	Jon B Toledo Xiao Da Priyanka Bhatt David A Wolk Steven E Arnold Leslie M Shaw John Q Trojanowski Christos Davatzikos Alzheimer’s Disease Neuroimaging Initiative
author_facet	Jon B Toledo Xiao Da Priyanka Bhatt David A Wolk Steven E Arnold Leslie M Shaw John Q Trojanowski Christos Davatzikos Alzheimer’s Disease Neuroimaging Initiative
author_sort	Jon B Toledo
title	Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.
title_short	Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.
title_full	Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.
title_fullStr	Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.
title_full_unstemmed	Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.
title_sort	relationship between plasma analytes and spare-ad defined brain atrophy patterns in adni.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/203e957beed44155bfa43223d1f8786c
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Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.

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