Astragaloside IV relieves gestational diabetes mellitus in genetic mice through reducing hepatic gluconeogenesis
Bibliographic record
Abstract
The glucose intolerance developed during pregnancy is called gestational diabetes mellitus (GDM). GDM has become a severe risk for the health of both mother and baby. Astragaloside IV (AS-IV) is the dominant active component in Astragalus membranaceus and has been reported to have anti-inflammation and immune-regulation function. We aimed to demonstrate the function of AS-IV in the therapy of GDM and the molecular mechanism in this process. C57BL/KsJ-Lepdb/+ female mice were used as the GDM model. The mRNA levels of relative genes in this research were detected by quantitative real-time PCR. The protein levels of relative genes were analyzed by Western blot. Serum lipid level was measured with an ILab Chemistry Analyzer 300 PLUS. Glucose, insulin, and lipid profile levels in the GDM mice model were decreased by AS-IV treatment. AS-IV downregulated the expression of inflammatory genes and upregulated the expressions of anti-oxidant genes in the GDM mice model. AS-IV treatment reduced cAMP accumulation in liver and reduced hepatic gluconeogenesis in GDM mice. This study demonstrated that AS-IV treatment has an effective therapeutic function of GDM in a mice model through the regulation of cAMP accumulation and hepatic gluconeogenesis.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".