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Record W4409982644 · doi:10.1177/07067437251337627

Blood Angiogenesis Markers and Cognition in Older Adults at Risk for Dementia: Marqueurs sanguins de l’angiogenèse et cognition chez les personnes âgées à risque de démence

2025· article· en· W4409982644 on OpenAlexafffundvenue
Bing Xin Song, Érica Leandro Marciano Vieira, Damien Gallagher, Breno S. Diniz, Corinne E. Fischer, Alastair J. Flint, Nathan Herrmann, Linda Mah, Benoit H. Mulsant, Tarek K. Rajji, Clement Ma, Krista L. Lanctôt

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2025
Typearticle
Languageen
FieldMedicine
TopicGDF15 and Related Biomarkers
Canadian institutionsPublic Health OntarioBaycrest HospitalSt. Michael's HospitalUniversity Health NetworkUniversity of TorontoToronto Dementia Research AllianceHealth Sciences CentreSunnybrook HospitalCentre for Addiction and Mental HealthSunnybrook Health Science Centre
FundersCanadian Institutes of Health ResearchHealth Canada
KeywordsAngiogeninCognitive declineDementiaMedicineAngiogenesisInternal medicineEffects of sleep deprivation on cognitive performanceOncologyCognitionGerontologyPsychiatry

Abstract

fetched live from OpenAlex

Objective: Changes in angiogenesis have been shown to contribute to cognitive decline and dementia. We aimed to identify angiogenesis blood markers associated with cognitive performance in older adults with mild cognitive impairment (MCI), remitted major depressive disorder (rMDD), or both (rMDD + MCI) who are at risk for dementia. Method: We analyzed data from participants with MCI, rMDD, or rMDD + MCI in the Prevention of Alzheimer's Dementia with Cognitive Remediation plus Transcranial Direct Current Stimulation in Mild Cognitive Impairment and Depression study. Elastic net regression was used to select variables associated with cognitive performance among 19 angiogenesis markers and 6 covariates. Linear regressions were used to determine which of the selected angiogenesis markers were associated with cognitive performance, controlling for the selected covariates. Significant angiogenesis markers were independently analyzed without other angiogenesis markers, controlling for covariates, with subgroup analyses in those with and without rMDD. Results: Angiogenin was the only selected marker associated with cognitive performance ( β = 0.28, P adj = 0.03, f ² = .02) when controlling for other selected markers (endothelial cell-specific molecule 1, e-selectin, interleukin-33 [IL-33], oncostatin M, platelet-derived growth factor-AB, IL-33 receptor, and tissue inhibitor of metalloproteinases-1) and selected covariates (age, education, apolipoprotein E ε4 status, diagnosis, and cardiovascular risk factors). When independently analyzed, angiogenin remained positively associated with cognitive performance ( β = 0.21, P = 0.01, f ² =.02), controlling for the covariates. In subgroup analyses, angiogenin was also associated with cognition in rMDD and rMDD + MCI participants ( β =0.50, SE = 0.14, P < 0.001, f ² = 0.08) and in MCI-only participants ( β = 0.20, SE = 0.09 , P = 0.02, f ² = 0.02). Conclusion: The association of angiogenin with cognitive performance highlights a potentially novel biological pathway that could influence cognition in older adults at risk for dementia. Angiogenin may protect against cognitive decline, opening new avenues for innovative preventive, or therapeutic interventions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.251
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.235
Teacher spread0.228 · 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 teacher head, 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

Citations2
Published2025
Admission routes3
Has abstractyes

Explore more

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