Protocol for the hyperinsulinemic euglycemic clamp to measure glucose kinetics in rats
Bibliographic record
Abstract
In rats, cannulation of the jugular vein and the carotid artery precedes the use of the hyperinsulinemic euglycemic clamp to determine insulin sensitivity in vivo . Here, we present a vascular surgery protocol to allow the infusion of substances via the vein and the collection of blood samples from the artery on the day of the hyperinsulinemic euglycemic clamp. We describe steps for preparing for and performing catheterization surgery. We then detail procedures for clamp preparation and its use. For complete details on the use and execution of this protocol, please refer to Pereira et al. 1 , 2 , 3 • Steps for chronic cannulation of the jugular vein and the carotid artery in rats • Guidance on the hyperinsulinemic euglycemic clamp in rats • Detailed steps for preparing the surgical area and rat for surgery Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. In rats, cannulation of the jugular vein and the carotid artery precedes the use of the hyperinsulinemic euglycemic clamp to determine insulin sensitivity in vivo . Here, we present a vascular surgery protocol to allow the infusion of substances via the vein and the collection of blood samples from the artery on the day of the hyperinsulinemic euglycemic clamp. We describe steps for preparing for and performing catheterization surgery. We then detail procedures for clamp preparation and its use.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.035 | 0.014 |
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".