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Record W4404246828 · doi:10.1161/jaha.124.035133

Associations of Circulating Platelet Endothelial Cell Adhesion Molecule‐1 Levels With Progression of Cerebral Small‐Vessel Disease, Cognitive Decline, and Incident Dementia

2024· article· en· W4404246828 on OpenAlexaboutno aff
Ming Ann Sim, Eugene S.J. Tan, Siew Pang Chan, Yuan Cai, Yuek Ling Chai, Joyce R. Chong, Eddie Chong, Caroline Robert, Narayanaswamy Venketasubramanian, Boon Yeow Tan, Mitchell K.P. Lai, Saima Hilal, Christopher Chen

Bibliographic record

VenueJournal of the American Heart Association · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
FundersNational Medical Research CouncilMedical Research CouncilNational University Health SystemNational University of Singapore
KeywordsMedicineDementiaCognitive declineDiseasePlateletCell adhesion moleculeCognitionInternal medicineCardiologyImmunologyPsychiatry

Abstract

fetched live from OpenAlex

Background The association between platelet endothelial cell adhesion molecule‐1 (PECAM‐1) with cerebral small‐vessel disease and cognition in dementia‐free subjects remains uninvestigated. Methods and Results A prospective cohort of dementia‐free subjects was recruited from memory clinics and followed up for 5 years. Annual neurocognitive assessments and twice‐yearly brain magnetic resonance imaging scans were performed. Associations of baseline plasma PECAM‐1 levels with cerebral small‐vessel disease, cognitive decline (Montreal Cognitive Assessment scores and executive function Z scores), and incident dementia were evaluated. Of 213 subjects (aged 70.2±7.7 years, 51.2% men), median PECAM‐1 levels were 0.790 (interquartile range, 0.645–0.955 ng/mL). Compared with the highest tertile, subjects within the lowest PECAM‐1 tertile had greater cross‐sectional white matter hyperintensity volume (β=4.84 [95% CI, 0.67–9.01]; P =0.023), age‐related white matter change scores (β=1.39 [95% CI, 0.12–2.67]; P =0.033), and cerebral microbleeds (Adjusted risk ratio, 2.59 [95% CI, 1.19–5.62]; P =0.016). Of the 204 participants with follow‐up data (median, 60.0 [interquartile range, 60.0–60.0] months), 24 (11.8%) developed incident dementia. Compared with the highest tertile, subjects within the lower tertiles of PECAM‐1 had a higher risk of incident dementia (first tertile: adjusted hazard ratio [AHR], 4.52 [95% CI, 1.35–15.13]; P =0.024; second tertile: AHR, 3.28 [95% CI, 1.02–10.60]; P =0.047). The lowest PECAM‐1 tertile was associated with greater progression of white matter hyperintensity volume (β=4.15 [95% CI, 0.06–8.24]; P =0.047), cerebral microbleeds (incident relative risk [IRR], 2.21 [95% CI, 1.05–4.65]; P =0.036), and decline in executive function (β=−0.45 [95% CI, −0.76 to −0.14]; P =0.004), and Montreal Cognitive Assessment (β=−1.32 [95% CI, −2.30 to −0.35]; P =0.008) scores. Conclusions In dementia‐free subjects, lower circulating PECAM‐1 levels are associated with greater cerebral small‐vessel disease progression and cognitive decline, thus warranting future study as a potential therapeutic target.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.297
Teacher spread0.269 · 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".

Quick stats

Citations8
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Heart Association→Same topicNeurological Disorders and Treatments→French-language works237,207→