URB597 attenuates stress-induced ventricular structural remodeling by modulating cytokines, NF-κB, and JAK2/STAT3 pathways in female and male rats
Bibliographic record
Abstract
Endocannabinoids act as a stress response system; simultaneously, the modulation of this system has emerged a novel approach for the therapy of cardiovascular disorders. We investigated the protective effects of the chronic administration of the fatty acid amide hydrolase inhibitor URB597 on morphology, pro-inflammatory and anti-inflammatory cytokine, the cytoplasm-nuclear distribution of JAK2/STAT3, and NF-κB and Nrf2/HO-1 signaling in the left ventricle of female and male rats exposed to chronic unpredictable stress. Our results show that URB597 treatment exhibits an antidepressant-like effect, decreases the heart/body weight ratio, prevents the hypertrophy of cardiomyocytes, and reduces the increased level of IL-6 in the wall of the left ventricle of stressed female and male rats. The phosphorylation levels of JAK2 and STAT3 in the ventricle of male rats treated with URB597 were declined, whereas in female rats the decrease of STAT3 was observed. In addition, URB597 reduced increased NF-κB in both females and males and increased the expression of Nrf2 and HO-1 protein in the cytosol of male rats, whereas did not affect their levels in females. Cardioprotective effects of URB597 could be linked to the ability to inhibit the JAK2 in males and the STAT3 inflammatory signaling pathways in both females and males.
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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) | 0.001 | 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) | 0.002 | 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".