Carnosic acid attenuates acute ethanol-induced liver injury via a SIRT1/p66Shc-mediated mitochondrial pathway
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ethanol-induced liver injury is associated with oxidative stress and hepatocyte apoptosis. We previously demonstrated that SIRT1/p66Shc pathway activation attenuates hepatocyte apoptosis in liver ischemia/reperfusion. The current study aimed to investigate whether carnosic acid (CA), a natural antioxidant, can inhibit acute ethanol-induced apoptosis of hepatocytes and to determine the effect of SIRT1/p66Shc on this process. Our results showed that CA pretreatment significantly reduced ethanol-induced histologic damage, serum aminotransferase activity, and oxidative stress in rats. Importantly, CA pretreatment increased SIRT1 expression following ethanol exposure. Furthermore, p66Shc expression was negatively correlated with SIRT1 expression. Consistent with the results demonstrating p66Shc inhibition, CA pretreatment inhibited the release of cytochrome C and apoptosis-inducing factor (AIF) from mitochondria. After exposing L02 cells to ethanol, the increased SIRT1 expression induced by CA was abrogated by pharmacologic SIRT1 inhibition or the use of siRNA against SIRT1. Additionally, SIRT1 inhibition significantly abrogated the suppression of p66Shc expression and mitochondrial translocation induced by CA. Accordingly, CA-induced decreases in the release of cytochrome C and AIF and in mitochondrial apoptosis were nearly abolished by SIRT1 knockdown. These data indicated that CA-activated SIRT1 is protective against ethanol treatment. In summary, CA attenuates acute ethanol-induced liver injury via a SIRT1/p66Shc-mediated mitochondrial pathway.
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.
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) | 0.001 | 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 it