Caffeine Associated with Exercise Actions on Glycemic Metabolism and Insulin Resistance in Diabetic Animals
Bibliographic record
Abstract
Objective: evaluate glycemic metabolism and its relationship with insulin resistance in diabetic animals after caffeine consumption associated with exercise.Material and Methods: 48 animals, of 60 days, divided in four groups: Control, Diabetic, Control+Exercise, Diabetes+Exercise, Caffeine, Diabetes+Caffeine, Exercise+Caffeine and Diabetes+Caffeine+Exercise. Diabetes model was induced by intraperitoneal administration of 120 mg/kg of alloxan. On the test day, 6 mg/kg of caffeine were administrated 30 minutes before exercise and the animals performed a 60 minutes’ session of predominantly aerobic exercise, using an overload of 6% of their body’s weight. With 90 days old, the animals were submitted to an oral glucose tolerance test (OGTT) to verify their glycemic curve. During thirty days of aerobic exercise and/or caffeine treatment, the animals had their glycemia evaluated. At the end of the period, the OGTT was re-evaluated. So, the animals were sacrificed for biochemical analysis (glucose, muscle glycogen and hepatic) and hormonal (insulin). The animals were trained during 30 days by swimming tank, with 4% of extra weight a 40-minute session, daily.Results: Caffeine treatment increased plasma insulin concentration compared to healthy controls (95%, p
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) | 0.000 | 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 | 0.000 |
| 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".