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

Marti-Juan, G.; Sanroma, G.; Piella, G.; The Alzheimers Disease Neuroimaging Initiative and the Alzheimers Disease Metabolomics,

doi:10.1101/339614

bioRxiv · 10.1101/339614

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

Marti-Juan, G.·Sanroma, G.·Piella, G.·The Alzheimers Disease Neuroimaging Initiative and the Alzheimers Disease Metabolomics,

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Abstract

Alzheimers 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.

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Marti-Juan, G., Sanroma, G., Piella, G., The Alzheimers Disease Neuroimaging Initiative and the Alzheimers Disease Metabolomics,. 2018-06-05. Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles. https://doi.org/10.1101/339614

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