Effects of Mei colitis and enema soup on interleukin-6,interleukin-10 and malondialdehyde of ulcerative colitis rats
Bibliographic record
Abstract
Objective: To explore the part of mechanism of action of Mei colitis and enema soup on treatment of ulcerative colitis.Methods: Experimental rats were randomly divided into the blank group,the model group,low,middle,high dose drug group,10 respectively;Using radiation immunifaction method to measure serum IL-6,IL-10,using colorimetric method to measure MDA.Results: The IL-6,IL-10 and MDA content of the blank group and model group has statistically significant difference(P0.01),while the drug groups and model group also has statistically significant difference(P0.01).and the blank group was not statistically significant difference;The IL-6 of high dose group was higher than low dose group,the MDA of low dose group was more than high dose group,the difference was significant(P0.05),and the latter was negatively correlated with increase of dose;IL-10 was positively associated with increase of dose,but there was not significant difference of the different dose group.Conclusion: Mei colitis and enema soup can significantly reduce IL-6,MDA,rise IL-10 level,has good curative effect on ulcerative colitis.
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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".