Reorienting of pramipexole as a promising therapy for acute pancreatitis in a rat model by suppressing TLR4\NF-κB p65\NLRP3 inflammasome signaling
Bibliographic record
Abstract
Acute pancreatitis (AP), a disorder of global importance, has a growing incidence and prevalence, particularly in the Western world. Its complications include pseudocysts and chronic pancreatitis. Pramipexole (PMX), a D2/3 receptor selecting agonist used in Parkinsonism, was reported to have anti-inflammatory effects. This study explored the potential curative role of PMX in an l-arginine-induced acute pancreatitis rat model in addition to a possible mechanistic pathway. Rats were divided randomly into three groups: control, l-arginine, and l-arginine + PMX. Seven days after AP induction, rats were decapitated and estimated for serum amylase, lipase, glucose, pancreatic inflammatory mediators toll-like receptor-4, nuclear factor κ B p65, serum tumor necrosis factor-α, NOD-, LRR and pyrin domain- containing protein 3 (NLRP3) inflammasome, caspase-1, interleukin 1β, oxidative biomarkers malondialdehyde, myeloperoxidase, nitrite/nitrate, reduced glutathione, and the apoptotic marker caspase-3, with pancreatic histopathological changes. l-arginine-mediated AP was proved by elevated serum lipase and amylase and pancreatic inflammatory, oxidative, and apoptotic markers with infiltration of inflammatory cells using hematoxylin and eosin stain. PMX improved all these adverse signs of AP greatly. PMX might be considered an innovative therapy for AP due to its remarkable antioxidant, antiapoptotic, and anti-inflammatory effects, which are attributed to the suppression of the NLRP3 inflammasome and its downstream inflammatory cytokines.
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How this classification was reachedexpand
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".