Preserved Vestibular Function in Mice with Loss of α-9 Subunit of the α-9/10 Nicotinic Acetylcholine Receptor (α-9/10 nAChR)
Bibliographic record
Abstract
Background: The α-9/10 nicotinic acetylcholine receptor is known to be the primary channel through which both vestibular and auditory efferents mediate the inhibition of their respective peripheral hair cells and afferents. With respect to the auditory system, the deletion of the α-9 subunit results in abnormalities in the development of properly functioning cochlear hair cells. Given the high degree of similarity between the au- ditory and the vestibular systems, we hypothesize that α-9 knockout mice should have impaired vestibular hair cell development and consequently compromised vestibular-mediated functions. Methods: In order to characterize vestibular function in α-9 knockout alert mice, we quantified the vestibu- lo-ocular reflex (VOR) through both gain and phase. Additionally, the optokinetic nystagmus (OKN) was sim- ilarly assessed as a control. VOR in light (VORl) was also quantified to further evaluate VOR and OKN efficacy. Furthermore, as information from the vestibular system mediates postural regulation and head stabilization, we assessed these properties through rotor rod and balance beam paradigms. Results: Surprisingly, the loss of the α-9 subunit in knockout mice did not result in any attenuation in VOR gain nor deviations in phase compared to wild type. OKN and VORl’s gain and phase values remain similarly unchanged, confirming preserved function within the vestibular nucleus. Descending vestibulospinal infor- mation seems to be unaltered as well, as no significant difference was observed in postural testing. Limitations: The α-9 knockout mice used specifically had exon 1 and exon 2 of the α-9 gene targeted, which could potentially limit generalizability. Also, frequencies greater than 3Hz were not tested. Conclusions: Our findings demonstrate that α-9 knockout mice still maintain normal vestibular function.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".