Human ApoE ε4 Alters Circadian Rhythm Activity, IL-1β, and GFAP in CRND8 Mice
Bibliographic record
Abstract
Disruptions to daily living, inflammation, and astrogliosis are characteristics of Alzheimer's disease. Thus, circadian rhythms, nest construction, IL-1β and TNF-α, and glial fibrillary acidic protein (GFAP) were examined in a mouse model developed to model late-onset Alzheimer's disease-the most common form of the disease. Mice carrying both the mutated human AβPP transgene found in the CRND8 mouse and the human apolipoprotein E ε4 allele (CRND8/E4) were compared with CRND8 mice and wildtype (WT) mice. Circadian rhythms were evaluated by wheel-running behavior. Activity of daily living was measured by nest construction. This study then examined mRNA levels of the inflammatory cytokines IL-1β and TNF-α as well as protein levels of GFAP. Behavioral outcomes were then correlated with cytokines and GFAP. Compared to WT controls, both CRND8 and CRND8/E4 mice showed significantly more frequent, but shorter, bouts of activity. In the three groups, the CRND8/E4 mice had intermediate disruptions in circadian rhythms. Both CRND8/E4 mice and CRND8 mice showed significant impairments in nesting behavior compared to WTs. While CRND8 mice expressed significantly increased IL-1β and GFAP expression compared to WT controls, CRND8/E4 mice expressed intermediate IL-1β and GFAP levels. Significant correlations between IL-1β, GFAP, and behavior were observed. These data are congruent with other studies showing that human ApoE ε4 is protective early in life in transgenic mice modeling Alzheimer's disease.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".