Comparative effect of vitamin E compounds on HSP70 expression in response to acute redox imbalance in Chang liver cells
Bibliographic record
Abstract
Abstract Background: HSP70 represents the most highly induced member of the stress protein family which is constitutively expressed in normal cell conditions as chaperon and rapidly upregulated in response to stress conditions. Vitamin E compounds are considered to be the most potent oxidation chain breaking compounds. Although α-tocopherol, has been long considered as the most potent antioxidant among the vitamin E isomers, many studies have recently suggested a higher antioxidant potency of tocotrienols compared to tocopherols. Present study was carried out to investigate the effects of tocotrienol supplementation compared to α-tocopherol on HSP70 expression.Methods: To assess whether the increase in HSP70 secondary to the stress caused by the oxidant could decrease in the presence of vitamin E; two groups of cells were incubated for 4 hours with α-tocopherol and palm tocotrienol-rich fraction respectively with concentration of 10, 20 and 30 μg/ml after the cells were pre-exposed to oxidative stress.Results: The comparison between the negative control which represents the basal expression of HSP70 and the positive control that represents the expression of HSP70 as a response to the oxidant, has clearly indicated that treatment with 100 μM copper sulphates for 24 hours resulted in a significant up-regulation of HSP70 expression. The present study has shown that the overall effect of vitamin E compounds seems to reduce the increase in HSP70 expression. α-tocopherol tended to trigger a more constant rate of response to the dose given but unable to significantly induced the decrease of the HSP70 expression as compared to tocotrienol.Conclusion: Treatment with vitamin E has conferred significant protection against stress induced cellular damage. Whether the reduction of HSP70 by vitamin E is deleterious or beneficial is still controversial and needs to be considered.
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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 | 0.000 |
| 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) | 0.001 | 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".