Neuroepithelial oxygen chemoreceptors of the zebrafish gill
Bibliographic record
Abstract
In aquatic vertebrates, hypoxia induces physiological changes that arise principally from O(2) chemoreceptors of the gill. Neuroepithelial cells (NECs) of the zebrafish gill are morphologically similar to mammalian O(2) chemoreceptors (e.g. carotid body), suggesting that they may play a role in initiating the hypoxia response in fish. We describe morphological changes of zebrafish gill NECs following in vivo exposure to chronic hypoxia, and characterize the cellular mechanisms of O(2) sensing in isolated NECs using patch-clamp electrophysiology. Confocal immunofluorescence studies indicated that chronic hypoxia (P(O(2)) = 35 mmHg, 60 days) induced hypertrophy, proliferation and process extension in NECs immunoreactive for serotonin or synaptic vesicle protein (SV2). Under voltage clamp, NECs responded to hypoxia (P(O(2)) = 25-140 mmHg) with a dose-dependent decrease in K(+) current. The current-voltage relationship of the O(2)-sensitive current (I(KO(2))) reversed near E(K) and displayed open rectification. Pharmacological characterization indicated that I(KO(2)) was resistant to 20 mM tetraethylammonium (TEA) and 5 mM 4-aminopyridine (4-AP), but was sensitive to 1 mm quinidine. In current-clamp recordings, hypoxia produced membrane depolarization associated with a conductance decrease; this depolarization was blocked by quinidine, but was insensitive to TEA and 4-AP. These biophysical and pharmacological characteristics suggest that hypoxia sensing in zebrafish gill NECs is mediated by inhibition of a background K(+) conductance, which generates a receptor potential necessary for neurosecretion and activation of sensory pathways in the gill. This appears to be a fundamental mechanism of O(2) sensing that arose early in vertebrate evolution, and was adopted later in mammalian O(2) chemoreceptors.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 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".