Abstract
INTRODUCTION
Metabolic syndrome (MetS) is associated with increased dementia risk, but its relationship with brain aging is unclear.
METHODS
The study included 27,375 UK Biobank participants aged 40 to 70 years. MetS was defined as having at least three of five components: central adiposity, hypertension, dyslipidemia, hypertriglyceridemia, and hyperglycemia. Levels of 33 plasma metabolites were measured from baseline blood samples. Brain age was estimated using a machine learning model based on 1079 phenotypes from brain magnetic resonance imaging (MRI) scans and used to calculate brain age gap (BAG, i.e., brain age minus chronological age).
RESULTS
Participants with MetS had significantly higher BAG compared to MetS-free individuals (β = 1.13; 95% confidence interval [CI]: 0.99 to 1.27). Each individual MetS component was also associated with higher BAG. Eight metabolites significantly mediated the MetS–BAG association (mediation proportion: 2.6% to 16.5%), including apolipoproteins, fatty acids, and inflammatory markers.
DISCUSSION
MetS is associated with accelerated brain aging, partly mediated by inflammation and altered lipid metabolism.
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This post is Copyright: | July 14, 2026
Neuro-Dementia