Potential role of neonatal rat chromaffin cells as glucosensors
Bibliographic record
Abstract
In mammals, a decrease in blood glucose (hypoglycemia) results in a number of complex autonomic responses that protect vital organs, e.g. the brain. Though central hypothalamic neurons are known to act as glucosensors, there is good evidence that peripheral glucosensors are the physiologically important ones. For example, carotid body (CB) chemoreceptors have recently been implicated as one of several peripheral sites thought to be involved in low glucose sensing and the initiation of counter‐regulatory neuroendocrine responses (Nat. Neurosci. 5: 197ndash;198, 2002). In the present study, we tested the hypothesis that neonatal adrenomedullary chromaffin cells (AMC), which share several properties with CB chemoreceptors including the ability to sense PO 2 , may also act as peripheral glucosensors. Exposure of neonatal AMC to low glucose (0 – 3.3 mM; at different PO 2 (140 ‐ 90 mmHg)) caused an inhibition of outward current under voltage clamp, as well as membrane depolarization under current clamp. Additionally low glucose caused a Ca 2+ ‐dependent increase in catecholamine (CA) secretion as detected by carbon fiber amperometry. These findings raise the possibility that neonatal AMC can act as peripheral glucosensors and contribute to the critical CA surge that occurs at birth in response to ischemic stress. Funded by: The Heart and Stroke Foundation of Ontario and the Heart and Stroke Foundation of Canada
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".