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Record W2385467705

Effects of Mei colitis and enema soup on interleukin-6,interleukin-10 and malondialdehyde of ulcerative colitis rats

2012· article· en· W2385467705 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicMedicinal Plant Pharmacodynamics Research
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsEnemaUlcerative colitisMedicineGastroenterologyColitisMalondialdehydeSignificant differenceInternal medicineMesalazineOxidative stress
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.064
GPT teacher head0.431
Teacher spread0.366 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it