Modulation of heart glycogen by isoproterenol‐induced transient tachycardia in newly born rats
Bibliographic record
Abstract
Newly born animals of a number of species have an increased cardiac glycogen content compared to older animals which is purported to support cardiac function and promote survival during hypoxia. As a first step in investigating the role of cardiac glycogen in influencing protective responses of newly born rat pups to hypoxia, our experiments were carried out to determine if cardiac glycogen would be altered following isoproterenol(ISO)‐induced transient tachycardia. In preliminary dose–response experiments testing doses of 0 to 10 mg/kg of the nonselective beta adrenergic receptor agonist ISO, we determined 1.25 mg/kg to be the smallest dose that elicited a maximal heart rate response (i.e., the EC 100 ) in 1 day‐old pups and in which the heart rate returned back to control levels by 120 minutes. One day old rat pups received vehicle (VEH) or ISO (1.25 mg/kg) ip and heart rate was recorded for 120 min before decapitation and removal of the heart for determination of glycogen content. Whole heart glycogen content in untouched pups was 4.1±0.5 mg/g of tissue (n=4). Whole heart glycogen content decreased significantly (p<0.05) following ISO‐induced transient tachycardia compared to VEH: 1.5±0.5 mg/g (n=8) versus 3.5±0.3 mg/g (n=5), respectively. Thus, our data provide evidence that whole heart glycogen is significantly decreased in newly born rat pups following ISOinduced transient tachycardia.
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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) | 0.001 | 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".