Peptides GWN and GW protect kidney cells against Dasatinib induced mitochondrial injury in a SIRT1 dependent manner
Bibliographic record
Abstract
Dasatinib, a small-molecule drug used as a treatment for chronic myeloid leukemia induces mitochondrial damage in embryonic kidney (293 T) cells (p < 0.05). This dasatinib induced mitochondrial injury in kidney cells was mitigated by H3K36me3 activating ovotransferrin-derived peptides GWN and GW. Pre-treatment of kidney cells with GWN and GW lead to elevation of cytoprotective sirtuins, SIRT1 and SIRT3, in response to dasatinib injury (p < 0.01) in vitro. Both peptides, GWN and GW, also reversed dasatinib induced the loss of mitochondria in kidney cells and promoted the protein expression of COX4 (p < 0.01). Mechanistically, loss of SIRT1 in kidney cells abolished the ability of GWN and GW to protect embryonic kidney cells against dasatinib injury in vitro. Overall, we provide cell based evidence showing that GWN and GW exhibit the ability to protect mitochondria against dasatinib-induced mitochondrial damage in a SIRT1 dependent manner.
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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) | 0.002 | 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".