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Record W4406049996 · doi:10.1002/alz.087166

Evidence for impaired clearance leading to amyloid beta (Aβ) accumulation in the Alzheimer’s eye

2024· article· en· W4406049996 on OpenAlexaff
Printha Wijesinghe, Matthew Campbell, Jeanne Xi, Justin R. Haynes, Ian R. Mackenzie, Veronica Hirsch‐Reinshagen, Ging‐Yuek Robin Hsiung, Benjamin W. Spiller, Brian E. Wadzinski, Wellington Pham, Joanne A. Matsubara

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsVancouver Coastal HealthUniversity of British Columbia
Fundersnot available
KeywordsBETA (programming language)Amyloid (mycology)NeuroscienceAmyloid betaMedicinePsychologyOphthalmologyInternal medicinePathologyDiseaseComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: An imbalance between the production and clearance of amyloid beta (Aß) has emerged as a major cause of sporadic Alzheimer's disease (AD). Retinal wholemount studies can identify cell-specific involvement in Aß clearance mechanisms which cannot be accomplished in the brain ex vivo. METHODS: Eye cross-sections of double transgenic (Tg, APP-PS1) and non-carrier sibling female mice (n = 16, 4 per group) at 3- and 9- month ages were probed with antibodies 6E10 (Aβ1-16 amino-acid residues, soluble and insoluble species), ionized calcium-binding adapter molecule 1 (IBA1, microglia/macrophage), glial fibrillary acidic protein (GFAP, astrocytes), glutamine synthetase (GS, Müller cells) and aquaporin-4 (AQP4, membrane water channel) using immunofluorescence. Wholemount neuroretinas of human AD (n = 10, mean age = 76.8, 6 females) and control (n = 10, 72.5, 5 females) donor eyes were probed with antibodies 12F4 (Aß1-42 amino-acid residues, misfolded oligomers), IBA1, GFAP, GS, AQP4 and Ulex europaeus agglutinin (UEA-l, vascular endothelium). Finally, a nanobody (soluble Aß oligomer against human Aβ1-42 peptide) conjugated with near-infrared dye (NIR-E3) was probed with 12F4 using a nanobody staining protocol in wholemount retinas. RESULTS: In eye cross-sections, a significant increase in 6E10, IBA1, GFAP and AQP4 was found in the older vs. younger Tg mice, suggesting Aβ accumulation resulted in gliosis and AQP4 mislocalization. In contrast, a significant reduction for 6E10 in the older vs. younger non-carrier siblings, suggests the existence of an effective Aβ clearance mechanism (e.g., macrophages and glymphatic drainage) as IBA1 and AQP4 levels were increased. In wholemount neuroretinas, macroglia degenerations (GFAP, GS and AQP4) which form the inner limiting membrane were prominent in human AD eyes, suggesting defective ocular glymphatic systems. The microglia phenotype was different from its resting stage in AD eyes, however, due to complexity of IBA1 positive resident microglia, and macrophages including monocytes, perivascular macrophages, pericytes and hyalocytes, it is difficult to define microglia phenotype, particularly activated and ameboid types between AD and control eyes. Interestingly, NIR-E3 positive perivascular macrophages (but negative to 12F4), indicating soluble Aβ clearance were predominantly found within the blood vessels of control donor eyes. CONCLUSION: This study confirms the existence of different impaired clearance mechanisms in human AD eyes.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.188
GPT teacher head0.430
Teacher spread0.242 · 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
Published2024
Admission routes1
Has abstractyes

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