Metabolic underpinnings of late midlife cognitive outcomes: findings from the 1946 British Birth Cohort

Author:

Green Rebecca12,Lord Jodie1,Xu Jin13,Maddock Jane4,Kim Min5,Dobson Richard12,Legido-Quigley Cristina35,Wong Andrew4,Richards Marcus4,Proitsi Petroula1

Affiliation:

1. Institute of Psychology, Psychiatry & Neuroscience, King’s College London, London, UK

2. UK National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley Trust, London, UK

3. Institute of Pharmaceutical Science, King’s College London, London, UK

4. MRC Unit for Lifelong Health & Ageing at UCL, University College London, London, UK

5. Steno Diabetes Center Copenhagen, Gentofte, Denmark

Abstract

Abstract Investigating associations between metabolites and late midlife cognitive function could reveal potential markers and mechanisms relevant to early dementia. Here, we systematically explored the metabolic underpinnings of cognitive outcomes measured across the 7th decade of life, while untangling influencing life course factors. Using levels of 1019 metabolites profiled by liquid chromatography-mass spectrometry (age 60-64), we evaluated relationships between metabolites and cognitive outcomes in the British 1946 Birth Cohort (N = 1740). We additionally conducted pathway and network analyses to allow for greater insight into underlying mechanisms, and sequentially adjusted for life course factors across four models, including: sex and blood collection (model 1), model 1 + body mass index and lipid medication (model 2), model 2 + social factors and childhood cognition (model 3), and model 3 + lifestyle influences (model 4). After adjusting for multiple tests, 155 metabolites, 10 pathways and 5 network modules demonstrated relationships with cognitive outcomes. Of the 155, 35 metabolites were highly connected in their network module (termed “hub” metabolites), presenting as functionally important marker candidates. Notably, we report relationships between a module comprised of acylcarnitines and processing speed which remained robust to life course adjustment, revealing palmitoylcarnitine (C16) as a hub (model 4: ß= -0.10, 95%CI=-0.15 to -0.052, p = 5.99 × 10−5). Most associations were sensitive to adjustment for social factors and childhood cognition; in the final model, four metabolites remained after multiple testing correction, and 80 at p < 0.05. Two modules demonstrated associations that were partly or largely attenuated by life course factors: one enriched in modified nucleosides and amino acids (overall attenuation = 39.2 to 55.5%), and another in vitamin A and C metabolites (overall attenuation = 68.6 to 92.6%). Our other findings, including a module enriched in sphingolipid pathways, were entirely explained by life course factors, particularly childhood cognition and education. Using a large birth cohort study with information across the life course, we highlighted potential metabolic mechanisms underlying cognitive function in late midlife, suggesting marker candidates and life course relationships for further study.

Funder

Alzheimer’s Research Trust

Medical Research Council

NIHR Maudsley BRC

Publisher

Oxford University Press (OUP)

Subject

General Earth and Planetary Sciences,General Environmental Science

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