Actovegin improves skeletal muscle mitochondrial respiration and functional aerobic capacity in a type 1 diabetic male murine model
Bibliographic record
Abstract
Insulin deficiency in type 1 diabetes (T1D) leads to an impairment of glucose metabolism and mitochondrial function. Actovegin is a hemodialysate of calf blood, which has been shown to enhance glucose uptake and cell metabolism in healthy human skeletal muscle. The objectives of this study were to determine the effects of Actovegin on skeletal muscle mitochondrial respiration and functional aerobic capacity in a T1D mouse model. Effects on the expression of mitochondrial proteins, body mass, and food and water consumption were also investigated. Streptozotocin-induced T1D male C57B1/6 mice (aged 3-4 months) were randomized to an Actovegin group and a control group. Every third day, the Actovegin and control groups were injected intraperitoneally with (0.1 mL) Actovegin and (0.1 mL) physiological salt solution, respectively. Oxidative phosphorylation (OXPHOS) capacity of the vastus lateralis muscle was measured by high resolution respirometry in addition to the expression levels of the mitochondrial complexes as well as voltage-dependent anion channel. Functional aerobic capacity was measured using a rodent treadmill protocol. Body mass and food and water consumption were also measured. After 13 days, in comparison to the control group, the Actovegin group demonstrated a significantly higher skeletal muscle mitochondrial respiratory capacity in an ADP-restricted and ADP-stimulated environment. The Actovegin group displayed a significantly lesser decline in functional aerobic capacity and baseline body mass after 13 days. There were no significant differences in food or water consumption between groups. Actovegin could act as an effective agent for facilitating glucose metabolism and improving OXPHOS capacity and functional aerobic capacity in T1D. Further investigation is warranted to establish Actovegin's potential as an alternative therapeutic drug for T1D.
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 | 0.001 | 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".