EFFECT OF ZISHEN HUOXUE JIEDU RECIPE ON mRNA EXPRESSION OF ET-1 IN REMNANT KIDNEY OF RATS WITH CHRONIC RENAL FAILURE
Bibliographic record
Abstract
Objective:To explore effects of Zishen Huoxue Jiedu recipe(ZSHXJDR) on the mRNA expression of endothelin-1(ET-1)in remnant kidney of rats with chronic renal failure(CRF).Method:Rats were divided into five groups:ZSHXJDR group,lotensin group,Baoshenkang group(BSK),control group,normal control group.CRF animal model of rats were established after 5/6 of kidney mass were removed.The mRNA expression levels of ET-1 in remnant kidney were measured by semi-quantitative reverse transcription polymerase chain reaction(RT-PCR)。Result:The ET-1 mRNA expression levels in remnant kidney of control group was significantly higher than that of normal control group,ZSHXJDR group,lotensin group,and BSK group.The ET-1 mRNA expression levels in remnant kidney of ZSHXJDR was significantly lower than that of lotensin group,BSK group.Conclusion:ZSHXJDR can markedly improved renal function by down-regulating ET-1mRNA expression levels,reducing glomerular sclerosis.
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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 | 0.000 |
| 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".