Effects of age and anesthetic on plasma glucose and insulin levels and insulin sensitivity in spontaneously hypertensive and Wistar rats
Bibliographic record
Abstract
We examined the effects of anesthetic, age, and strain on oral glucose tolerance tests (OGTT, 1 g/kg body weight) and intraperitoneal glucose tolerance tests (IPGTT, 2 g/kg body weight) in spontaneously hypertensive (SH) and Wistar rats. Pentobarbital anesthesia caused an elevation in basal glucose and insulin levels in Wistar rats at 9 and 16 weeks of age and in SH rats at 9 weeks. Anesthesia increased the insulin output during an OGTT in both strains of rats while glucose was unchanged. Anesthesia reduced the insulin sensitivity index calculated from the OGTT but not from the IPGTT data. The age of the rats (9-11 vs. 16-18 weeks) had no effect on the basal glucose or insulin levels, but older Wistar rats had a greater insulin output following oral glucose and older SH rats had a greater insulin output following intraperitoneal glucose. On the basis of the insulin sensitivity index, SH rats were clearly more insulin resistant than age-matched Wistar rats. The SH rats also had higher basal insulin levels, as well as higher insulin output, following both glucose challenges. In summary, SH rats are more insulin resistant than Wistar rats, and anesthesia, which elevated basal glucose and insulin levels and increased the insulin output in response to a glucose challenge, may increase insulin resistance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".