Antioxidant and immunomodulatory activities of Oviductus ranae in mice
Bibliographic record
Abstract
Oviductus ranae (OR) is a traditional Chinese medicine, which was first recorded in the Compendium of Materia Medica in the Ming Dynasty. OR contains high amounts of proteins and elicits therapeutic effects on neurasthenia, insomnia, and respiratory symptoms, which are related to oxidative stress and immunodeficiency. This study aimed to obtain the potential of OR for the development of functional food possessing antioxidant and immune-enhancement functions in the same dose. In antioxidant evaluation, OR can significantly decrease malondialdehyde and protein carbonyls (P < 0.05, P < 0.01) and significantly increase total superoxide dismutase and glutathione in a dose-dependent manner (P< 0.05, P < 0.01) against ethanol-induced oxidative stress in mice at 0.1, 1.0, and 3.0 g/kg BW. In immunomodulatory evaluation, OR could significantly enhance the phagocytosis of liver macrophages (P < 0.05, P < 0.01), delayed-type hypersensitivity response (P < 0.05, P < 0.01), hemolytic activity (P < 0.05), antibody-producing cells (P < 0.05), and natural killer cell activity (P < 0.05) in the same dose range described in antioxidant evaluation compared with those in the normal control. OR slightly influenced lymphocyte proliferation, peritoneal macrophage phagocytosis, and immune organ indices in mice. Thus, 3.0 g/kg BW OR showed potential for the development of functional food with antioxidant and immune-enhancement activities.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".