Hepato- and neuro-protective influences of biopropolis on thioacetamide-induced acute hepatic encephalopathy in rats
Bibliographic record
Abstract
Hepatic encephalopathy (HE) is a neuropsychiatric syndrome that ultimately occurs as a complication of acute or chronic liver failure; accompanied by hyperammonemia. This study aimed to evaluate the potential of biopropolis as a hepato- and neuro-protective agent using thioacetamide (TAA)-induced acute HE in rats as a model. Sixty Wistar rats were divided into 5 groups: Group 1 (normal control) received only saline and paraffin oil. Group 2 (hepatotoxic control) received TAA (300 mg/kg, once). Groups 3, 4, and 5 received TAA followed by vitamin E (100 mg/kg) and biopropolis (100 and 200 mg/kg), respectively, daily for 30 days. Evidences of HE were clearly detected in TAA-hepatotoxic group including significant elevation in the serum level of ammonia, liver functions, increased oxidative stress in liver and brain, apoptotic DNA fragmentation and overexpression of iNOS gene in brain tissue. The findings for groups administered biopropolis, highlighted its efficacy as a hepato- and neuro-protectant through improving the liver functions, oxidative status and DNA fragmentation as well as suppressing the brain expression of iNOS gene. In conclusion, biopropolis, at a dose of 200 mg/kg per day protected against TAA-induced HE through its antioxidant and antiapoptotic influence; therefore, it can be used as a protective natural product.
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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 | 0.001 |
| 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".