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Record W4390192200 · doi:10.1002/alz.082453

High VEGF‐A and low PlGF in plasma are associated with reduced longitudinal tau PET burden and slower cognitive decline in preclinical Alzheimer’s disease

2023· article· en· W4390192200 on OpenAlexaff
Wai‐Ying Wendy Yau, Hyun‐Sik Yang, Becky C. Carlyle, Bianca A. Trombetta, Can Zhang, Aaron P. Schultz, Jeremy J. Pruzin, Colleen Fitzpatrick, Dylan Kirn, Jennifer S. Rabin, Rachel F. Buckley, Timothy J. Hohman, Dorene M. Rentz, Rudolph E. Tanzi, Keith A. Johnson, Reisa A. Sperling, Steven E. Arnold, Jasmeer P. Chhatwal

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsInternal medicineMedicineCognitive declineOncologyEndocrinologyHyperintensityAtrophyPathogenesisDiseaseDementiaMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Abstract Background Vascular dysfunction is increasingly recognized as an important partner in the pathogenesis of Alzheimer’s disease (AD). Alterations in vascular endothelial‐derived growth factor (VEGF) pathways have been implicated as potential mechanisms. However, the specific impact of VEGF proteins in preclinical AD and their relationships with other AD and vascular pathologies during this critical early period remain to be elucidated. Method We examined 316 cognitively unimpaired at baseline older adults from the Harvard Aging Brain Study (Table 1). VEGF family proteins (VEGF‐A, VEGF‐C, VEGF‐D, PlGF, VEGFR‐1) were measured in baseline fasting plasma using MSD V‐PLEX Angiogenesis Panel. Using linear mixed effects models, we examined the interactive effects of baseline plasma VEGF proteins and amyloid PET burden (Pittsburgh Compound‐B) on longitudinal cognitive decline (Preclinical Alzheimer Cognitive Composite‐5). We further investigated if effects on cognition may be mediated by longitudinal inferior temporal tau PET burden (Flortaucipir; subset n = 186) or hippocampal atrophy (subset n = 206). Lastly, we examined the impact of adjusting for baseline cardiovascular risk score or white matter hyperintensity volume (WMH). Result High plasma VEGF‐A (β = 0.06, t = 3.23, p = 0.001) and low PlGF (β = ‐0.08, t = ‐3.88, p<0.001) each interacted with elevated baseline amyloid burden to slow prospective cognitive decline (Figure 1A). Concordantly, high VEGF‐A (β = ‐0.12, t = ‐4.56, p<0.001) and low PlGF (β = 0.09, t = 3.63, p<0.001) were associated with reduced longitudinal tau accumulation in those with elevated amyloid (Figure 1B). Moderated mediation analyses revealed that, under elevated amyloid, reduced tau accumulation fully mediated the effects of high VEGF‐A and partially mediated the effects of low PlGF (30%) on slower cognitive decline (Figure 2). There were no significant associations with hippocampal atrophy. The interactive effects of VEGF‐A and PlGF on tau and cognition remained significant after adjusting for cardiovascular risk score or WMH (p<0.003). Conclusion High plasma VEGF‐A and low PlGF were associated with slower prospective cognitive decline in preclinical AD, which was fully (VEGF‐A) and partially (PlGF) mediated by reduced tau accumulation. These effects were distinct from conventional vascular risk and injury measures, highlighting VEGF‐A and PlGF as potential molecular targets in preclinical AD to modify the vascular‐AD synergy in combination with anti‐amyloid and traditional vascular risk reduction therapies.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.066
GPT teacher head0.311
Teacher spread0.245 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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