Título:
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Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles
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Autor/a:
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Martí Juan, Gerard; Sanromà, Gerard; Piella Fenoy, Gemma
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Abstract:
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Alzheimer’s disease (AD) affects millions of people and is a major rising problem in health
care worldwide. Recent research suggests that AD could have different subtypes, presenting
differences in how the disease develops. Characterizing those subtypes could be key to
deepen the understanding of this complex disease. In this paper, we used a multivariate,
non-supervised clustering method over blood-based markers to find subgroups of patients
defined by distinctive blood marker profiles. Our analysis on ADNI database identified 4 possible
subgroups, each with a different blood profile. More importantly, we show that subgroups
with different profiles have a different relationship between brain phenotypes
detected in magnetic resonance imaging and disease condition. |
Abstract:
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This research was partially funded by the
“Fundacio´ La Marato´ de TV3” (n˚20154031). Data
collection and sharing for this project was funded
by the Alzheimer’s Disease Neuroimaging Initiative
(ADNI) (National Institutes of Health Grant U01
AG024904) and DOD ADNI (Department of
Defense award number W81XWH-12-2-0012).
Data collection and sharing for this project was
also funded by the Alzheimer’s Disease
Metabolomics Consortium (National Institute on
Aging R01AG046171, RF1AG051550 and
3U01AG024904-09S4). The funders had no role in
study design, data collection and analysis, decision
to publish, or preparation of the manuscript. |
Derechos:
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© 2019 Martí-Juan et al. 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 credited.
https://creativecommons.org/licenses/by/4.0/
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Tipo de documento:
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Artículo Artículo - Versión publicada |
Editor:
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Public Library of Science (PLoS)
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