Bnip3 expression in the brain of an Alzheimer’s disease rat model
Bibliographic record
Abstract
High levels of pro-mitophagic BCL2 and adenovirus E1B 19-kDa-interacting protein 3 (Bnip3) was recently found selectively present in reelin-expressing entorhinal cortex layer II neurons (Re+ ECLII neurons) in wild-type rats. This population of neurons is known to be affected in Alzheimer’s disease. We therefore characterized Bnip3 expression in the forebrain of the McGill-R-Thy1-APP rat model, with a particular emphasis on Re+ ECLII neurons, and tested for potential differences in expression in these neurons vis-à-vis wild-type rats. To this end, we immunohistochemically labeled the brains of 24 animals divided into ages 3, 12, and 18 months, and analyzed their brains by optical density measurements and visual characterizations. We found that high Bnip3 expression was restricted to dorsolateral Re+ ECLII neurons, and, like reelin, was gradually less expressed in those situated successively further ventromedially. Quantitative analyses revealed no significant changes in Bnip3 expression within neuronal somata of these neurons as a function of age or genotype. Conversely, model rats at ages 3 and 18 months, but not at 12 months, appeared to have increased Bnip3 expression in the hippocampal sublayers that contain Re+ ECLII neuronal terminals. For the rest of the forebrain the expression of Bnip3 was, broadly speaking, low or absent. Our results may be taken to indicate that (1) while the Aβ pathology of McGill-R-Thy1-APP rats does not substantially alter the expression of Bnip3, (2) the subtle changes in Bnip3 expression associated with the terminals of Re+ ECLII neurons might reflect alterations in mitochondrial turnover, possibly as a response to increased levels and/or altered conformations of intraneuronal Aβ.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".