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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3568142/ https://www.ncbi.nlm.nih.gov/pubmed/23408997 http://dx.doi.org/10.1371/journal.pone.0055531 |
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author | Toledo, Jon B. Da, Xiao Bhatt, Priyanka Wolk, David A. Arnold, Steven E. Shaw, Leslie M. Trojanowski, John Q. Davatzikos, Christos |
author_facet | Toledo, Jon B. Da, Xiao Bhatt, Priyanka Wolk, David A. Arnold, Steven E. Shaw, Leslie M. Trojanowski, John Q. Davatzikos, Christos |
author_sort | Toledo, Jon B. |
collection | PubMed |
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 | Online Article Text |
id | pubmed-3568142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35681422013-02-13 Relationship between Plasma Analytes and SPARE-AD Defined Brain Atrophy Patterns in ADNI Toledo, Jon B. Da, Xiao Bhatt, Priyanka Wolk, David A. Arnold, Steven E. Shaw, Leslie M. Trojanowski, John Q. Davatzikos, Christos PLoS One Research Article 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. Public Library of Science 2013-02-08 /pmc/articles/PMC3568142/ /pubmed/23408997 http://dx.doi.org/10.1371/journal.pone.0055531 Text en © 2013 Toledo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Toledo, Jon B. Da, Xiao Bhatt, Priyanka Wolk, David A. Arnold, Steven E. Shaw, Leslie M. Trojanowski, John Q. Davatzikos, Christos Relationship between Plasma Analytes and SPARE-AD Defined Brain Atrophy Patterns in ADNI |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3568142/ https://www.ncbi.nlm.nih.gov/pubmed/23408997 http://dx.doi.org/10.1371/journal.pone.0055531 |
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