Diuretic activity and mechanism of Mosla chinensis Maxim. cv. Jiangxiangru in normal Rats
Bibliographic record
Abstract
Abstract Background: Jiangxiangru, a commonly used clinical Chinese medicine, has been investigated mainly over its effects on Summer heatstroke and the dampness inside the spleen and stomach. This study focuses on the diuretic effect of Jiangxiangru in normal rats as well as the underlying mechanism.Methods: 48 rats were randomly divided into the model group (saline), the positive control group (furosemide 0.02g/kg), low and high dosage of water decoction of Jiangxiangru group (0.2 g/ml and 1g/ml), low and high dosage of water extract of Jiangxiangru group (0.1463g/ml and 0.7317g/ml), and the low and high dosage of volatile oil of Jiangxiangru group (0.1791g/ml and 1.4328g/ml). Each group was assigned 6 rats. Thirty minutes after the successful establishment of the model, the rats were treated orally with corresponding doses of drugs at 10 ml/kg. The control group received an equivalent amount of water. After administration, Urine volume at each time point was measured and urine K+, Na+, Cl- content were measured. The contents of ALD, ANP, ADH, Na+-K+-ATPase, the gene expression and protein levels of AQP1, AQP2 and AQP3 in urine of rats in each group were determined. SPSS22.0 statistical software was used to analyze the experimental data. One way ANOVA and multiple comparisons between LSD groups were performed. The difference is considered significant When p < 0.05 or p < 0.01.Results: Our results showed that Jiangxiangru decoction group has the strongest diuretic effect, followed by water extract, then the volatile oil. The diuretic mechanism of Jiangxiangru may affect the kidney in addition to the hormone level related to the change of body fluid metabolism. The distal convoluted tubules are related to the content of aquaporin AQP in the collecting tube, thereby inhibiting water reabsorption.Conclusion: The contents of Na+, K+, and Cl- and PH in urine of rats don’t change significantly in this experiment. The diuretic effect of Jiangxiangru could not cause electrolyte disturbance and other adverse reactions. This fully reflects the complex composition of traditional Chinese medicine, the role of multi-target characteristics.
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.
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 | 0.001 | 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".