A Metabolomics Analysis of a Novel Phenotype of Older Adults at Higher Risk of Dementia

Author:

Sultana Munira1,Camicioli Richard2,Dixon Roger A.3,Whitehead Shawn4,Pieruccini-Faria Frederico5,Petrotchenko Evgeniy6,Speechley Mark7,Borchers Christoph H.6,Montero-Odasso Manuel78

Affiliation:

1. Western University, London, Ontario, Canada

2. Department of Medicine, University of Alberta, Edmonton, Alberta, Canada

3. Psychology Science, University of Alberta, Edmonton, Alberta, Canada

4. Department of Anatomy and Cell Biology, Western University, London, Ontario, Canada

5. Gait and Brain Lab, London, Ontario, Canada

6. Segal Cancer Proteomics Centre, Montreal, Quebec, Canada

7. Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada

8. Department of Medicine, Western University, London, Ontario, Canada

Abstract

Background: Older adults presenting with dual-decline in cognition and walking speed face a 6-fold higher risk for dementia compared with those showing no decline. We hypothesized that the metabolomics profile of dual-decliners would be unique even before they show signs of decline in cognition and gait speed. Objective: The objective of this study was to determine if plasma metabolomics signatures can discriminate dual-decliners from no decliners, purely cognitive decliners, and purely motor decliners prior to decline. Methods: A retrospective cross-sectional study using baseline plasma for untargeted metabolomics analyses to investigate early signals of later dual-decline status in study participants (n = 76) with convenient sampling. Dual-decline was operationalized as decline in gait speed (>10 cm/s) and cognition (>2 points decline in Montreal Cognitive Assessment score) on at least two consecutive 6-monthly assessments. The participants’ decliner status was evaluated 3 years after the blood sample was collected. Pair-wise comparison of detected compounds was completed using principal components and hierarchical clustering analyses. Results: Analyses did not detect any cluster separation in untargeted metabolomes across baseline groups. However, follow-up analyses of specific molecules detected 4 compounds (17-Hydroxy-12-(hydroxymethyl)-10-oxo-8 oxapentacyclomethyl hexopyranoside, Fleroxacin, Oleic acid, and 5xi-11,12-Dihydroxyabieta-8(14),9(11),12-trien-20-oic acid) were at significantly higher concentration among the dual-decliners compared to non-decliners. The pure cognitive decliner group had significantly lower concentration of six compounds (1,3-nonanediol acetate, 4-(2-carboxyethyl)-2-methoxyphenyl beta-D-glucopyranosiduronic acid, oleic acid, 2E-3-[4-(sulfo-oxy)phenyl] acrylic acid, palmitelaidic acid, and myristoleic acid) compared to the non-decliner group. Conclusions: The unique metabolomics profile of dual-decliners warrants follow-up metabolomics analysis. Results may point to modifiable pathways.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

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