Metabotropic Glutamate Receptor-Mediated Cell Signaling Pathways Are Altered in a Mouse Model of Huntington's Disease
Bibliographic record
Abstract
Huntington's disease (HD) is an autosomal-dominant neurodegenerative disorder caused by a polyglutamine expansion in the huntingtin protein (Htt). Group I metabotropic glutamate receptors (mGluRs) are coupled to G(alphaq) and play an important role in neuronal survival. We have previously demonstrated that mGluRs interact with Htt. Here we used striatal neuronal primary cultures and acute striatal slices to demonstrate that mGluR-mediated signaling pathways are altered in a presymptomatic mouse model of HD (Hdh(Q111/Q111)), as compared to those of control mice (Hdh(Q20/Q20)). mGluR1/5-mediated inositol phosphate (InsP) formation is desensitized in striatal slices from Hdh(Q111/Q111) mice and this desensitization is PKC-mediated. Despite of decreased InsP formation, (S)-3,5-dihydroxylphenylglycine (DHPG)-mediated Ca(2+) release is higher in Hdh(Q111/Q111) than in Hdh(Q20/Q20) neurons. Furthermore, mGluR1/5-stimulated AKT and extracellular signal-regulated kinase (ERK) activation is altered in Hdh(Q111/Q111) mice. Basal AKT activation is higher in Hdh(Q111/Q111) neurons and this increase is mGluR5 dependent. Moreover, mGluR5 activation leads to higher levels of ERK activation in Hdh(Q111/Q111) than in Hdh(Q20/Q20) striatum. PKC inhibition not only brings Hdh(Q111/Q111) DHPG-stimulated InsP formation to Hdh(Q20/Q20) levels, but also causes an increase in neuronal cell death in Hdh(Q111/Q111) neurons. However, PKC inhibition does not modify neuronal cell death in Hdh(Q20/Q20) neurons, suggesting that PKC-mediated desensitization of mGluR1/5 in Hdh(Q111/Q111) mice might be protective in HD. Together, these data indicate that group I mGluR-mediated signaling pathways are altered in HD and that these cell signaling adaptations could be important for striatal neurons survival.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".