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Record W4284705273 · doi:10.21203/rs.3.rs-1806158/v1

The Alzheimer risk factor CD2AP causes dysfunction of the brain vascular network

2022· preprint· en· W4284705273 on OpenAlexafffund
Milène Vandal, Ádám Institóris, Ben Korin, Colin Gunn, Lee Suzie, Jiyeon Lee, Philippe Bourassa, Ramesh C. Mishra, Govind Peringod, Yulan Jiang, Sotaro Hirai, Camille Belzil, Louise Réveret, Cyntia Tremblay, Mada Hashem, William J. Meilandt, Oded Foreman, Meron Rouse‐Girma, Wilten Nicola, Jakob Körbelin, Jeff F. Dunn, Andrew P. Braun, David Bennett, Grant R. Gordon, Frédéric Calon, Andréy S. Shaw, Minh Dang Nguyen

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsCentre hospitalier de l'Université LavalCentre hospitalier universitaire de QuébecUniversity of Calgary
FundersCanadian Institutes of Health ResearchAlberta InnovatesNational Institute on AgingUniversity of Calgary
KeywordsRisk factorNeuroscienceFactor (programming language)PsychologyMedicineInternal medicineComputer science

Abstract

fetched live from OpenAlex

Abstract Genetic variations in CD2-associated protein (CD2AP) predispose to Alzheimer’s disease (AD) but the underlying mechanisms remain unknown. Here, we show that a cerebrovascular loss of CD2AP in AD is associated with cognitive decline and genetic downregulation of CD2AP in brain microvessels impairs memory function in two distinct mouse models. The memory deficits are linked to reduced cerebral blood flow during resting state and altered neurovascular coupling in pial vessels, arterioles and capillaries. In brain endothelial cells, CD2AP regulates the levels and signaling of ApoE receptor 2 (ApoER2). Activation of the CD2AP-ApoER2 pathway with Reelin glycoprotein mitigates the toxic effects of Aβ on capillary blood flow and on vasomotion of arterioles depleted of CD2AP. We propose that deregulation of CD2AP perturbs distinct segments of the brain vascular network, and harnessing the biology of specific brain vessel types may offer refined therapeutic strategies for the treatment of AD.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0040.001

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 head0.081
GPT teacher head0.396
Teacher spread0.315 · 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 designBench or experimental
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
Published2022
Admission routes2
Has abstractyes

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