Alterations in the Na+/H+ Exchanger NHE6 and Glutamate Transporters may Influence Purkinje Cell Fate in ARSACS
Bibliographic record
Abstract
Patterned cell death is a common feature of many neurodegenerative diseases. This is apparent in cerebellar Purkinje cells (PCs) in patients and mouse models of Autosomal-recessive spastic ataxia of Charlevoix-Saguenay (ARSACS). In ARSACS, PCs in the anterior cerebellar vermis are vulnerable to degeneration while those in the posterior vermis are resilient. As the mechanisms underpinning cerebellar pathophysiology in ARSACS are not fully understood, we chose to investigate two important regulatory pathways for cellular health in neurons: (1) the autophagy-lysosome pathway which is important for the trafficking of cargo essential for proper neuronal function, as well as (2) excitatory amino acid transporters (EAATs) that regulate extracellular glutamate levels. Using a mouse model of ARSACS ( Sacs − / − ), we found a significant decrease in the Na + /H + exchanger 6 (NHE6) in the PCs in the vulnerable anterior but not resilient posterior cerebellum. We looked at two EAATs that are highly expressed in the cerebellum: EAAT1 and EAAT4. Glial EAAT1 levels were significantly reduced in both anterior and posterior lobules, which could lead to excitotoxicity. However, the neuronal EAAT4 protein was elevated only in the resilient posterior PCs, likely counteracting the effects of reduced EAAT1 in posterior cerebellum. These results point to possible impairment in the endocytic pathway in the ARSACS cerebellum, and an elevation of EAAT4 glutamate transporters in the resilient posterior lobules of the cerebellar vermis that may contribute to neuroprotection.
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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) | 0.000 | 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) | 0.002 | 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".