Differential expression of GABA<sub>A</sub> and glycine receptors in ALS‐resistant vs. ALS‐vulnerable motoneurons: possible implications for selective vulnerability of motoneurons
Bibliographic record
Abstract
Summary Amyotrophic lateral sclerosis (ALS) is a devastating motoneuronal degenerative disease, which is inevitably fatal in adults. ALS is characterized by an extensive loss of motoneurons in the cerebrospinal axis, except for those motoneurons that control eye movements and bladder contraction. The reason for this selectivity is not known. Systematic differences have been found in the organization of excitatory synaptic transmission in ALS-resistant vs. ALS-susceptible motor nuclei. However, although motoneurons express high levels of glycine receptors (GlyR) and GABA(A) receptors (GABA(A)R), no such studies have been carried out yet for inhibitory synaptic transmission. In this study, we compared the subunit composition, patterns of expression, density and synaptic localization of inhibitory synaptic receptors in ALS-resistant (oculomotor, trochlear and abducens) and ALS-vulnerable motoneurons (trigeminal, facial and hypoglossi). Triple immunofluorescent stainings of the major GABA(A)R subunits (alpha1, alpha2, alpha3, and alpha5), the GlyR alpha1 subunit and gephyrin, were visualized by confocal microscopy and analysed quantitatively. A strong correlation was observed between the vulnerability of motoneurons and the subunit composition of GABA(A)R, the GlyR/GABA(A)R density ratios and the incidence of synaptic vs. extrasynaptic GABA(A)R. These differences contrast strikingly with the uniform gephyrin cluster density and synaptic GlyR levels recorded in all motor nuclei examined. These results suggest that the specific patterns of inhibitory receptor organization observed might reflect functional differences that are relevant to the physiopathology of ALS.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".