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25 April 2024
 
  » arxiv » 1709.7285

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Blood-based metabolic signatures in Alzheimer's disease
Francisca A. de Leeuw ; Carel F.W. Peeters ; Maartje I. Kester ; Amy C. Harms ; Eduard A. Struys ; Thomas Hankemeier ; Herman W.T. van Vlijmen ; Sven J. van der Lee ; Cornelia M. van Duijn ; Philip Scheltens ; Ayşe Demirkan ; Mark A. van de Wiel ; Wiesje M. van der Flier ; Charlotte E. Teunissen ;
Date 21 Sep 2017
AbstractIntroduction: Identification of blood-based metabolic changes might provide early and easy-to-obtain biomarkers.
Methods: We included 127 AD patients and 121 controls with CSF-biomarker-confirmed diagnosis (cut-off tau/A$eta_{42}$: 0.52). Mass spectrometry platforms determined the concentrations of 53 amine, 22 organic acid, 120 lipid, and 40 oxidative stress compounds. Multiple signatures were assessed: differential expression (nested linear models), classification (logistic regression), and regulatory (network extraction).
Results: Twenty-six metabolites were differentially expressed. Metabolites improved the classification performance of clinical variables from 74% to 79%. Network models identified 5 hubs of metabolic dysregulation: Tyrosine, glycylglycine, glutamine, lysophosphatic acid C18:2 and platelet activating factor C16:0. The metabolite network for APOE $epsilon$4 negative AD patients was less cohesive compared to the network for APOE $epsilon$4 positive AD patients.
Discussion: Multiple signatures point to various promising peripheral markers for further validation. The network differences in AD patients according to APOE genotype may reflect different pathways to AD.
Source arXiv, 1709.7285
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