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Cognitive function and dementia risk in midlife adults with cardiovascular disease

2025· article· en· W7127999004 on OpenAlexaboutno aff
Brittany Butts, Enid Swatson, J Watson, D D Verble, K D S Likos, C Herring, J Kamara, A Watson, Sofie Ragins, Whitney Wharton

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicInflammation biomarkers and pathways
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionDementiaDiseaseCognitive declineCognitive testMontreal Cognitive AssessmentBlood pressureRisk factor

Abstract

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Abstract Background Cardiovascular disease (CVD) contributes to dementia risk, as cerebrovascular dysfunction and systemic inflammation play key roles in cognitive decline. Neurodegenerative changes, including tau accumulation, begin decades before clinical symptoms emerge, making midlife a critical period for identifying at-risk individuals. Understanding the interplay between vascular health, inflammation, and cognition in midlife adults with CVD is essential for early intervention and prevention strategies. Purpose This study examines the associations between CVD burden, inflammation, and cognitive function in middle-aged adults with CVD to identify early markers of dementia risk. Methods A cross-sectional analysis was conducted as part of an ongoing study enrolling middle-aged adults with CVD. CVD burden was assessed using a composite score of CV risk factors. Cognitive function was evaluated using the Montreal Cognitive Assessment (MoCA), Trail Making Test A & B (processing speed & executive function), Judgment of Line Orientation (JOLO; visuospatial ability), Rey-Osterrieth Complex Figure Test (Rey-O; visuospatial), Multilingual Naming Test (MINT; language), and Mental Rotation Test (MRT; spatial reasoning). Plasma biomarkers of neurodegeneration (total tau [t-tau] and p-tau217) and inflammation (C-reactive protein [CRP], triggering receptor expressed on myeloid cells [TREM]-1, interleukin [IL]-1β) were measured via ELISA. Results Participants (N=40) were 66±8 years of age, 55% female, and 38% Black and African American. CVD burden was positively associated with t-tau (r=.595, p<.001) and p-tau217 (r=.623, p<.001). Elevated t-tau and p-tau217 levels correlated with longer times on Trails B (t-tau: r=.425, p=.006; p-tau217: r=.431, p=.006). Diastolic blood pressure was associated with lower global cognition (MoCA: r=-.344, p=.030) and higher t-tau (r=.459, p=.003). Higher IL-1β levels were associated with poorer visuospatial performance (JOLO: r=-.449, p=.004; Rey-O: r=-.346, p=.029), reduced language ability (MINT: r=-.459, p=.003), and slower processing speed (Trails A: r=.349, p=.027). CRP was negatively associated with spatial reasoning (MRT: r=-.386, p=.014). Conclusions These preliminary findings suggest CVD burden and inflammation may contribute to early neurodegenerative processes and cognitive dysfunction in midlife adults, a critical window for dementia prevention. Elevated markers of neurofibrillary tangles (p-tau217) and global neurodegeneration (t-tau) indicate CVD may accelerate brain pathology decades before clinical symptoms emerge. Cognitive decline in this population appears most pronounced in executive function, processing speed, and visuospatial abilities, domains affected in both AD and vascular cognitive impairment. Given the increasing recognition of heart-brain interactions, cognitive screening should be integrated into CVD management, particularly for individuals with high inflammatory burden or vascular dysfunction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.210
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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