Bibliographic record
Abstract
Huntington disease (HD) is a dominantly inherited neurodegenerative disease caused by a polyglutamine (polyQ) expansion in the protein huntingtin (htt). Previous studies have shown enhanced N-methyl-d-aspartate (NMDA)-induced excitotoxicity in neuronal models of HD, mediated in part by increased NMDA receptor (NMDAR) GluN2B subunit binding with the postsynaptic density protein-95 (PSD-95). In cultured hippocampal neurons, the NMDAR-activated p38 Mitogen-activated Protein Kinase (MAPK) death pathway is disrupted by a peptide (Tat-NR2B9c) that uncouples GluN2B from PSD-95, whereas NMDAR-mediated activation of c-Jun N-terminal Kinase (JNK) MAPK is PSD-95-independent. To investigate the mechanism by which Tat-NR2B9c protects striatal medium spiny neurons (MSNs) from mutant htt (mhtt)-enhanced NMDAR toxicity, we compared striatal tissue and cultured MSNs from presymptomatic yeast artificial chromosome (YAC) mice expressing htt with 128 polyQ (YAC128) to those from YAC18 and/or WT mice as controls. Similar to the previously published shift of GluN2B-containing NMDARs to extrasynaptic sites, we found increased PSD-95 localization as well as elevated PSD-95-GluN2B interactions in the striatal non-PSD (extrasynaptic) fraction from YAC128 mice. Notably, basal levels of both activated p38 and JNK MAPKs were elevated in the YAC128 striatum. NMDA stimulation of acute slices increased activation of p38 and JNK in WT and YAC128 striatum, but Tat-NR2B9c pretreatment reduced only the p38 activation in YAC128. In cultured MSNs, p38 MAPK inhibition reduced YAC128 NMDAR-mediated cell death to WT levels, and occluded the Tat-NR2B9c peptide protective effect; in contrast, inhibition of JNK had a similar protective effect in cultured MSNs from both WT and YAC128 mice. Our results suggest that altered activation of p38 MAPK contributes to mhtt enhancement of GluN2B/PSD-95 toxic signaling.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".