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Record W3186878371 · doi:10.21203/rs.3.rs-37431/v1

Diuretic activity and mechanism of Mosla chinensis Maxim. cv. Jiangxiangru in normal Rats

2020· preprint· en· W3186878371 on OpenAlexaff
Longxue Li, Suyun Xiao, Weiqi Liu, Dan Lei, Weiyue Deng, Juan He, Zhongrui Wu, Shouming Li, Zhiyong Liu

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsMaximMechanism (biology)DiureticTraditional medicineChemistryPharmacologyInternal medicineBiologyMedicinePhilosophyEpistemology

Abstract

fetched live from OpenAlex

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 AQP 1 , AQP 2 and AQP 3 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 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)0.010
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0050.005
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0010.011
Insufficient payload (model declined to judge)0.0010.000

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 head0.122
GPT teacher head0.426
Teacher spread0.304 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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