Comprehensive Analytics of Actovegin® and Its Effect on Muscle Cells
Bibliographic record
Abstract
Abstract The ingredients of Actovegin® were analyzed and its effects on the muscle cell proliferation were investigated. C2C12 myoblasts were cultured in medium. Actovegin® was added in five different concentrations (1, 5, 25, 125, and 250 µg) to the differentiation medium. The formations of proliferation factor Ki67 and myosin heavy chains were measured by immunofluorescence. The first primary antibody was anti-Ki67 and anti-Mf20. Cells were washed and treated with the second fluorochrome. Thirty-one Actovegin® ingredients were found to contain significantly higher concentrations and twenty-nine ingredients were found to contain significantly lower concentrations, compared to the mean ranges as described in the literature for the normal physiological concentrations in human adult serum/plasma. A significant increase in the formation of Ki67 was observed in Actovegin® groups, compared to controls. The mean area of myotubes was significantly increased in Actovegin® groups. A significant decrease in the number of myotubes was observed. An increased myotube size (fusion) was observed. The intensity of Mf20 was significantly increased in Actovegin® groups. It could be demonstrated that Actovegin® contains many physiological substances in significantly higher and some in lower concentrations compared to human adult serum. Furthermore, it could be shown that Actovegin® improves muscle cell proliferation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".