Endotoxemia Enhances Catecholamine Secretion From Male Mouse Adrenal Chromaffin Cells Through an Increase In Ca2+ Release From the Endoplasmic Reticulum
Bibliographic record
Abstract
Enhanced epinephrine secretion from adrenal chromaffin cells (ACCs) is an important homeostatic response to severe systemic inflammation during sepsis. Evidence suggests that increased activation of ACCs by preganglionic sympathetic neurons and direct alterations in ACC function contribute to this response. However, the direct effects of sepsis on ACC function have yet to be characterized. We hypothesized that sepsis enhances epinephrine secretion from ACCs by increasing intracellular Ca(2+) signaling. Plasma epinephrine concentration was increased 5-fold in the lipopolysaccharide-induced endotoxemia model of sepsis compared with saline-treated control mice. Endotoxemia significantly enhanced stimulus-evoked epinephrine secretion from isolated ACCs in vitro. Carbon fiber amperometry revealed an increase in the number of secretory events during endotoxemia, without significant changes in spike amplitude, half-width, or quantal content. ACCs isolated up to 12 hours after the induction of endotoxemia exhibited larger stimulus-evoked Ca(2+) transients compared with controls. Similarly, ACCs from cecal ligation and puncture mice also exhibited enhanced Ca(2+) signaling. Although sepsis did not significantly affect ACC excitability or voltage-gated Ca(2+) currents, a 2-fold increase in caffeine (10 mM)-stimulated Ca(2+) transients was observed during endotoxemia. Depletion of endoplasmic reticulum Ca(2+) stores using cyclopiazonic acid (10 μM) abolished the effects of endotoxemia on catecholamine secretion from ACCs. These findings suggest that sepsis directly enhances catecholamine secretion from ACCs through an increase in Ca(2+) release from the endoplasmic reticulum. These alterations in ACC function are likely to amplify the effects of increased preganglionic sympathetic neuron activity to further enhance epinephrine levels during sepsis.
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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 | 0.001 |
| 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".