A novel inducible animal model for studying chronic plasmalogen deficiency associated with Alzheimer’s disease
Bibliographic record
Abstract
Plasmalogens are vinyl-ether glycerophospholipids critical for the structure and function of neuronal membranes. Deficient plasmalogen levels are associated with neurodegenerative diseases, particularly Alzheimer's disease (AD), which has led to the hypothesis that plasmalogen deficiency might drive disease onset and progression. However, the lack of a suitable animal model with late-onset plasmalogen deficiency has prevented testing of this hypothesis. The goal of this project was therefore to develop and characterize a mouse model capable of undergoing a plasmalogen deficiency only in adulthood, mirroring the chronic decline thought to occur in AD. We report here the creation of a novel animal model containing a tamoxifen-inducible knockout of the Gnpat gene encoding the first step in the plasmalogen biosynthetic pathway. Tamoxifen treatment in adult animals resulted in a significant reduction of plasmalogens in both the circulation and tissues as early as four weeks. By four months, changes in behavior and nerve function were observed, with strong correlations between residual brain plasmalogen levels, hyperactivity, and latency. The model will be useful for further elucidating the role of plasmalogens in AD and evaluating plasmalogen therapies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".