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Record W3021810944 · doi:10.1016/j.jalz.2006.05.428

P1–053: Alzheimer's disease neuropathology is not mitigated by the physiological expression of human <i>ABCA1</i> in APP/PS1 mice

2006· article· en· W3021810944 on OpenAlexaff
Veronica Hirsch‐Reinshagen, Jeniffer Chan, Sean A. McIsaac, Kathryn E. Naus, Luı́s F. Maia, Braydon L. Burgess, Roshni R. Singaraja, Michael R. Hayden, Cheryl L. Wellington

Bibliographic record

VenueAlzheimer s & Dementia · 2006
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsABCA1Apolipoprotein ENeuropathologyGenetically modified mouseTransgeneEndocrinologyInternal medicineAmyloid (mycology)NeurodegenerationBiologyAlzheimer's diseaseAmyloid precursor proteinCholesterolTransporterMedicineDiseaseBiochemistryGene

Abstract

fetched live from OpenAlex

The only well–established genetic risk factor for late–onset Alzheimer's Disease (AD) is apolipoprotein E (apoE). ApoE is thought to bind Aβ peptides and to participate in the conversion of soluble Aβ into amyloid. Because apoE is required for amyloid deposition, factors that influence apoE levels may play important roles in AD pathogenesis. The cholesterol and phospholipid transporter ABCA1 is required to maintain normal brain apoE levels. The absence of ABCA1 results in up to 80% reduction in brain apoE levels, and the apoE that remains is poorly lipidated. Despite this reduction in brain apoE levels, ABCA1–deficient mice develop at least as much amyloid as ABCA1–expressing mice when crossed to animal models of AD, suggesting that ABCA1–mediated lipidation of apoE is also critical for amyloidogenesis. However, the effects of ABCA1 overexpression remain unknown. To test whether ABCA1 overexpression affects brain apoE metabolism and AD neuropathology. We determined whether the expression of a human ABCA1 transgene with its endogenous regulatory elements affected apoE levels, amyloid burden, and Aβ levels in transgenic animals. In the absence of APP and PS1 transgenes, ABCA1 BAC Tg animals exhibit a significant 15% (p<0.05) increase in apoE levels in cortex compared to wild–type controls, although no differences in cerebrospinal fluid apoE levels or cholesterol content are observed. However, when crossed to APP/PS1 mice, no differences were seen in cortical apoE levels, amyloid burden or guanidine–extractable Aβ40 or Aβ42 levels in APP/PS1 mice containing the human ABCA1 BAC transgene compared to APP/PS1 littermate controls. Analysis of human and murine ABCA1 expression demonstrated that, in the absence of APP/PS1 transgenes, ABCA1 BAC transgenic mice exhibit a two–fold increase in total ABCA1 protein levels in cortex compared to wild–type controls. However, this elevated ABCA1 protein expression is ablated in the presence of the APP/PS1 transgenes, despite maintenance of high levels of both murine and human ABCA1 mRNA. These results suggest that physiological expression of transgenic human ABCA1 does not prevent amyloid deposition in vivo, which may be due to posttranscriptional regulatory mechanisms that downregulate ABCA1 expression in the presence of AD neuropathology.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0100.004

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 head0.031
GPT teacher head0.303
Teacher spread0.272 · 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
Published2006
Admission routes1
Has abstractyes

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