Schisandrin B enhances the glutathione redox cycling and protects against oxidant injury in different types of cultured cells
Bibliographic record
Abstract
Tert-butylhydroperoxide (tBHP) challenge caused an initial depletion of cellular reduced glutathione (GSH), which was followed by a gradual restoration of cellular GSH in AML12, H9c2, and differentiated PC12 cells. The time-dependent changes in cellular GSH induced by tBHP were monitored as a measure of GSH recovery capacity (GRC), of which glutathione reductase (GR)-mediated glutathione redox cycling and γ-glutamate cysteine ligase (GCL)-mediated GSH synthesis were found to play an essential role. While glutathione redox cycling sustained the GSH level during the initial tBHP-induced depletion, GSH synthesis restores the GSH level thereafter. The effects of (-)schisandrin B [(-)Sch B] and its analogs (Sch A and Sch C) on GRC were also examined in the cells. (-)Sch B and Sch C, but not Sch A, ameliorated the extent of tBHP-induced GSH depletion, indicative of enhanced glutathione redox cycling. However, the degree of restoration of GSH post-tBHP challenge was not affected or even decreased. Pretreatment with (-)Sch B and Sch C, but not Sch A, protected against oxidant injury in the cells. The (-)Sch B afforded cytoprotection was abolished by N,N'-bis(chloroethyl)-N-nitrosourea pretreatment suggesting the enhancement of glutathione redox cycling is crucially involved in the cytoprotection afforded by (-)Sch B against oxidative stress-induced cell injury.
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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 | 0.001 |
| 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".