Evidence map›Paper›PMID 42445959›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Metabolic syndrome is associated with accelerated brain aging.

Abigail Dove, Jiao Wang, Rongrong Yang, Sakura Sakakibara, Zoe Arvanitakis, Andrea L C Schneider, Rebecca F Gottesman, Weili Xu

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Abigail DoveAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-6890-0537
Jiao WangAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Rongrong YangAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Sakura SakakibaraAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Zoe ArvanitakisRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Andrea L C SchneiderDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Rebecca F GottesmanNational Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA.
Weili XuAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Funding

Alzheimerfonden AF-1030022David and Astrid Hagelén Foundation 2025-02544Demensfonden DF-1031285Foundation for Geriatric Diseases at Karolinska Institutet 2025-01802Loo and Hans Osterman Foundation for Medical Research 2025-1809NIH/National Institute of Neurological Disorders and Stroke (NINDS) grant K23NS124430Sigurd and Elsa Goljes Memorial Foundation LA2025-0123Stiftelsen för Gamla Tjänarinnor 2025-303Svenska Sällskapet för Medicinsk Forskning (SSMF) PG-25-0488
6 · The paper itself

Abstract

introductionMetabolic syndrome (MetS) is associated with increased dementia risk, but its relationship with brain aging is unclear.

methodsThe 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).

resultsParticipants 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.

Indexed as

AgingBrainMetabolic SyndromeAdultAgedBiomarkersFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedUK BiobankBiomarkersbiomarkersbrain age gapbrain agingmetabolic syndromemetabolomics

Identifiers

PMID42445959
PMCPMC13366500

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.