Caftaric Acid Ameliorates Oxidative Stress, Inflammation, and Bladder Overactivity in Rats Having Interstitial Cystitis: An In Silico Study
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Interstitial cystitis (IC) is the principal unwanted effect associated with the use of cyclophosphamide (CYP). It results in increased oxidative stress, overexpression of proinflammatory cytokines, and bladder overactivity. Patients receiving CYP treatment had severely depreciated quality of life, as the treatment available is not safe and effective. The goal of this study was to assess the protective effect of caftaric acid in CYP-induced IC. IC was induced in female Sprague Dawley by injecting CYP (150 mg/kg, i.p.). In the present study, oral administration of caftaric acid (20, 40, and 60 mg/kg) significantly decreased inflammation. Caftaric acid significantly increased SOD (93%), CAT (92%), and GSH (90%) while decreased iNOS (97%), IL-6 (90%), TGF 1-β (83%), and TNF-α (96%) compared to the diseased. DPPH assay showed the antioxidant capacity comparable to ascorbic acid. Molecular docking of caftaric acid with selected protein targets further confirmed its antioxidant and anti-inflammatory activities. The cyclophosphamide-induced bladder overactivity had been decreased possibly through the inhibition of M 3 receptors, ATP-sensitive potassium channels, calcium channels, and COX enzyme by caftaric acid. Therefore, our findings demonstrate that caftaric acid has a considerable protective role against CYP-induced IC by decreasing the oxidative stress, inflammation, and bladder smooth muscle hyperexcitability. Thus, caftaric acid signifies a likely adjuvant agent in CYP-based chemotherapy treatments.
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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 | 0.001 |
| 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".