Role of ATP‐sensitive K <sup>+</sup> channels in glucose sensing by immortalized adrenomedullary chromaffin cells
Bibliographic record
Abstract
Adrenomedullary chromaffin cells exhibit a critical Ca 2+ ‐dependent catecholamine secretion when directly exposed to perinatal stressors (e.g. hypoxia). Using an immortalized chromaffin cell line (MAH), we investigated their potential sensitivity to low glucose (hypoglycemia) by monitoring changes in intracellular free calcium ([Ca 2+ ] i ) with the fluorescent probe Fura‐2. The majority of MAH cells (86%; n=398) were unresponsive on switching from 10 to 0 mM glucose. Interestingly, 0 glucose markedly inhibited (~75%) the rise in [Ca 2+ ] i induced by the depolarizing stimulus high K + (10 mM). To test the possibility that this was due to K ATP channel activation, the K ATP channel blocker, glibenclamide (50 μM), was used. In normal K + , glibenclamide increased the proportion of 0 glucose‐responsive cells from 14% to 65%, and the mean Δ[Ca 2+ ] i response increased fourfold. RT‐PCR and Western blot analysis confirmed the presence of both the inward rectifying (Kir6.2) and sulfonylurea (Sur1) subunits of K ATP channels. These findings suggest that hypoglycemia‐induced activation of K ATP channels may limit [Ca 2+ ] i increases and catecholamine secretion in chromaffin cells. Furthermore, the increased proportion of 0 glucose‐responsive cells in the presence of glibenclamide suggests that hypoglycemia causes a separate excitatory pathway in MAH cells. Supported by NSERC and the HSFO.
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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".