Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles

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  • dc.contributor.author Martí Juan, Gerard
  • dc.contributor.author Sanromà, Gerard
  • dc.contributor.author Piella Fenoy, Gemma
  • dc.date.accessioned 2019-10-22T13:11:37Z
  • dc.date.available 2019-10-22T13:11:37Z
  • dc.date.issued 2019
  • dc.description.abstract 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.en
  • dc.description.sponsorship 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.en
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Martí-Juan G, Sanroma G, Piella G. Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles. PLoS One. 2019;14(3):e0211121. DOI: 10.1371/journal.pone.0211121
  • dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0211121
  • dc.identifier.issn 1932-6203
  • dc.identifier.uri http://hdl.handle.net/10230/42482
  • dc.language.iso eng
  • dc.publisher Public Library of Science (PLoS)
  • dc.relation.ispartof PLoS One. 2019;14(3):e0211121
  • dc.rights © 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.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri https://creativecommons.org/licenses/by/4.0/
  • dc.title Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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