Developmental regulation of glucosensing in rat adrenomedullary chromaffin cells
Bibliographic record
Abstract
During birth, asphyxial stimuli such as hypoxia and acid hypercapnia trigger the release of catecholamines (CAT) from adrenomedullary chromaffin cells (AMCs), which protects the heart and prepares the lungs of the neonate for air breathing. These direct chemosensing properties are present in neonatal AMCs but are lost by ~2 weeks postnatally, as these cells become innervated by the splanchnic nerve. Asphyxia also leads to glucose deprivation though it is unknown whether or not neonatal AMCs are also directly sensitive to low glucose (hypoglycemia). Recently, we demonstrated that 0 glucose induced membrane depolarization and a rise in intracellular Ca 2+ in an immortalized, fetal‐derived chromaffin cell line. In the present study, we tested the hypothesis that primary neonatal rat AMCs are sensitive to hypoglycemia and that this property is developmentally regulated. Using fura‐2 Ca 2+ imaging and carbon fiber amperometry we found that hypoglycemia induced a rise in intracellular Ca 2+ and quantal vesicular CAT secretion in most neonatal AMCs. Furthermore, these responses were markedly reduced or absent in 2‐week old juvenile AMCs. Though the molecular mechanisms remain to be elucidated, this study suggests that the neonatal rat adrenal medulla may act as a glucosensor, perhaps similar to that recently proposed for the carotid body. This work was supported by the Heart and Stroke Foundation of Ontario and NSERC.
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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".