Characterization of Novel Antioxidant VANL‐100 on Akt and GSK3B Protein Activity and Expression
Bibliographic record
Abstract
Abstract Background Strong evidence suggests antioxidant therapies modulate Akt and glycogen synthase 3 beta ( GSK3B) signalling pathways–molecular mechanisms tightly correlated with the pathophysiology of Alzheimer’s disease (AD) . Method The effects of VANL‐100, a novel antioxidant co‐drug, were characterized on Akt and GSK3B signalling in the SH‐SY5Y human neuroblastoma cell line. Cells were treated with varying doses of VANL‐100 and the effects compared to its parent compounds, naringenin (NGN) and alpha‐lipoic acid (ALA) alone or in combination without a chemical link. After 24 hours of treatment, activation and total protein levels of Akt and GSK3B were assessed by Western blot analysis . Result VANL‐100 was 100‐fold more potent at increasing the phosphorylation of Akt (Ser473) (p<0.05) than its parent compounds alone or in combination without being conjugated to one another. Furthermore, VANL‐100 was more effective at inhibiting the activity of GSK3B (Ser9) than either of the parent compounds alone or in combination at a dose of 50uM (p<.05), 100uM (p<.01) and 200uM (p<.05) . Conclusion These findings suggest that the novel co‐drug VANL‐100 is more effective at modulating Akt and GSK3B activity than its parent compounds, even when they are administered in combination but not chemically‐linked. Since disruptions in Akt and GSK3B signalling pathways are linked to AD, elucidation of compounds such as VANL‐100 that modulate these pathways supports the use of antioxidant conjugates as potential novel therapeutic strategies .
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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".