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Record W4405559002 · doi:10.3389/fnagi.2024.1495615

Apolipoprotein E dysfunction in Alzheimer’s disease: a study on miRNA regulation, glial markers, and amyloid pathology

2024· article· en· W4405559002 on OpenAlexaff
Printha Wijesinghe, Hao Li, Zhengdong Ai, Matthew Campbell, Si Chen, Jeanne Xi, Wellington Pham, Joanne A. Matsubara

Bibliographic record

VenueFrontiers in Aging Neuroscience · 2024
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of British Columbia
FundersNational Institute on Aging
KeywordsApolipoprotein EPathologyMedicineAmyloid (mycology)DiseaseAmyloid βmicroRNAAlzheimer's diseaseNeuroscienceBiologyGeneGenetics

Abstract

fetched live from OpenAlex

Introduction Apolipoprotein E (ApoE) plays a crucial role in lipid homeostasis, predominantly expressed in astrocytes and to a lesser extent in microglia within the central nervous system (CNS). While the APOE4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease (AD), its precise role in AD pathogenesis remains elusive. Apoe-knockout (Apoe-ko) mice, mice expressing human APOE4, and human APOE4 carriers exhibit similar deficits in lipid metabolism, cognitive and behavioral functions, and neurodegeneration. The retina, as part of the CNS, has been studied to investigate the underlying mechanisms of AD, including neuroinflammation, amyloid aggregation, and neurodegeneration. This study explores ApoE’s role in AD by analyzing brain and eye samples from Apoe-ko mice, focusing on identifying potential retinal biomarkers associated with ApoE dysfunction. Methods We compared female Apoe-ko mice on a regular diet to age-matched C57BL/6J controls at 3 and 9 months. Our investigations included microRNAs (miRNAs), their target messenger RNAs (mRNAs), and selected protein markers, including astroglial (Gfap), microglial/macrophage (Iba1 and Trem2) markers, and amyloid precursor protein (APP)/amyloid-β (Aβ) peptides implicated in AD pathogenesis. We also examined female Apoe-ko mice on a high-fat diet versus a regular diet at 9 months for differential miRNA and mRNA expressions. Results Our findings demonstrated that miRNA levels were generally lower in 3-month-old Apoe-ko mice but increased in 9-month-old mice across five distinct brain regions, as well as in eye tissue and tear fluid. A high-fat diet further enhanced miRNA dysregulation in brain and eye tissues, but not in tear fluid. Target mRNAs were generally higher in the neocortex-hippocampus and eye tissue of 3-month-old Apoe-ko mice but decreased with age, except for glial cell mRNAs like Gfap and Aif1. Protein analysis revealed elevated Gfap expression, and increased APP/Aβ peptide accumulation in the neocortex-hippocampus, including brain endothelial cells at the meninges, as well as in the retina of 9-month-old Apoe-ko mice. These findings highlight ApoE’s pivotal role in AD, demonstrating its impact on inflammatory and amyloidogenic/angiogenic miRNA expression, glial homeostasis, and APP/Aβ peptide clearance. The observed upregulation of proinflammatory miR-146a and anti-amyloidogenic/angiogenic miR-15a in 9-month-old Apoe-ko mice suggests their potential as tear-based biomarkers for ApoE dysfunction.

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 score0.001
Threshold uncertainty score0.002

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)0.0000.000

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 head0.027
GPT teacher head0.308
Teacher spread0.281 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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