Effects of acute aerobic exercise on skeletal muscle and liver glucose metabolism in male rodents with type 1 diabetes
Bibliographic record
Abstract
Aerobic exercise (AE) is associated with a significant hypoglycemia risk in individuals with type 1 diabetes mellitus (T1DM). However, the mechanisms in the liver and skeletal muscle governing exercise-induced hypoglycemia in T1DM are poorly understood. This study examined the effects of a 60-min bout of AE on hepatic and muscle glucose metabolism in T1DM rats. Nineteen male Sprague-Dawley rats were divided into sedentary (SC; n = 5) and T1DM (DSC; n = 14) groups. T1DM rats were subcategorized into pre-exercise (DPRE; n = 6) and post-exercise (DPOST; n = 8). DPOST were sacrificed immediately after 60 min of AE. Results demonstrate that DPOST animals experienced reductions in BG following 30 and 60 min of AE compared to pre-exercise. Both DPRE and DPOST animals exhibited lower hepatic glycogen content, while muscle glycogen did not differ, suggesting impaired glycogenolysis in T1DM. Hepatic glucose-6-phosphatase content, and muscle and hepatic protein kinase B phosphorylation were significantly greater in DPOST animals, suggesting elevated gluconeogenesis and insulin stimulation during exercise. Glycogen phosphorylase activity did not differ between groups. These data suggest that drops in BG during AE in T1DM were due to lower glycogen levels in the liver and muscle and a lack of muscle glycogen utilization; leading to a reliance on gluconeogenesis and BG.
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) | 0.001 | 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) | 0.002 | 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".