Up‐regulation of the type 3 ryanodine receptor is neuroprotective in the TgCRND8 mouse model of Alzheimer’s disease
Bibliographic record
Abstract
The cellular pathology of Alzheimer's disease is progressive and protracted leading eventually to considerable neuronal death. The underlying mechanisms of the pathology are complex but changes in the control of intracellular Ca2+ are believed to contribute to the demise of neurons. In this study, we investigated the functional consequences of an increase in the expression of the type 3 isoform of the ryanodine receptor (RyR3). We found that although cortical neurons from TgCRND8 mice secreted significantly more amyloid beta protein and showed significantly increased RyR3 expression, they were no more sensitive to cell stress than non-transgenic neurons. Furthermore, despite increased intracellular Ca2+ release in response to ryanodine, we found that basal Ca2+, K+-evoked Ca2+ responses, and capacitative Ca2+ entry were no different in TgCRND8 neurons compared with non-transgenic neurons. Therefore, as RyR3 up-regulation did not affect neuronal health or global Ca2+ homeostasis, we investigated the effect of reducing RyR3 expression using small interfering RNA. Surprisingly, a reduction of RyR3 expression in TgCRND8, but not in non-transgenic, neurons increased neuronal death. These data reveal a new role for RyR3 and indicate a novel potential therapeutic target to delay or prevent the progression of 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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".