Implications of Actovegin on Aerobic Performance and Mitochondrial Respiration in Trained and Untrained Mice
Bibliographic record
Abstract
Actovegin is a deproteinated calf blood extract that has been used clinically for over 60 years to treat a wide range of conditions. The drug is thought to exert its therapeutic benefits by enhancing oxidative phosphorylation and cell metabolism. It is postulated that Actovegin has insulin-like properties and can increase glucose uptake in the cell. Due to its proposed mechanism of action, Actovegin has also been speculated as an aerobic performance enhancing drug and few studies have been sought out to confirm this speculation. In addition, the effects of this drug on mitochondrial respiration have only been investigated in skeletal muscle and liver tissue through an acute administration protocol. \n \nThis thesis explores the effects of Actovegin from a functional and mechanistic perspective. The objectives were to determine if non-acute Actovegin injections every 2nd day for 14 days can increase aerobic exercise capacity and mitochondrial respiration in skeletal muscle and cardiac tissue in trained and sedentary mice versus equivalent groups receiving a placebo. Effects on blood glucose and body mass were also investigated. Using an aerobic exercise capacity test and high-resolution respirometry, the data revealed that Actovegin injections over a two-week period: (1) increased aerobic exercise capacity (2) increased skeletal muscle mitochondrial respiration, (3) did not have a significant effect on cardiac mitochondrial respiration. These results suggest that non-acute Actovegin injections may enhance aerobic exercise performance and reduce the heart’s need to increase contractile capacity in a high-intensity exercise setting.
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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".