The Small Molecule Indirubin-3'-Oxime Inhibits Protein Kinase R: Antiapoptotic and Antioxidant Effect in Rat Cardiac Myocytes
Bibliographic record
Abstract
Double-stranded, RNA-dependent protein kinase R (PKR) is a serine/threonine protein kinase activated by various stress signals. It plays an important role in inflammation, insulin sensitivity and glucose homeostasis. Increased PKR activity has been observed in obese humans as well as in obese diabetic mice. Indirubin-3'-oxime (I3O) is an effective inhibitor of cyclin-dependent kinases and glycogen synthase kinase 3-beta. However, the effects of I3O on PKR activity/expression in cultured rat cardiomyocytes have not been reported. We investigated whether I3O attenuates the effects of high glucose on PKR, oxidative stress and apoptotic gene markers. Quantitative PCR and western blotting were used to measure protein and mRNA, respectively. High glucose treatment caused significant increase in the PKR protein/mRNA expression, which was attenuated by co-treatment with I3O. High glucose-treated, cultured cardiomyocytes developed a significant increase in mRNA expression for c-Jun-N-terminal kinase, caspase-3 and NF-ĸB, which were all attenuated by pretreatment with I3O. There was also a significant increase in reactive oxygen species generation in high glucose-treated, cultured cardiomyocytes, which was attenuated by pretreatment with I3O. In conclusion, I3O may have a preventive role against the deleterious effects of high glucose in the heart.
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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".