Pioglitazone Ameliorates Lipid Metabolic Disorder in KKAy Mice
Bibliographic record
Abstract
Pioglitazone (pio) has been used as an effective hypoglycemic drug in medicine, however, the effects and mechanisms of pio on lipid metabolic disorder are still largely unknown. To explore the effects of pio on serum and liver lipid level and antioxidant ability of mice with lipid metabolic disorder, KKAy mice were treated with piofor 12 weeks and their lipid and antioxidant indices were compared to those of KKAy mice without pio treatment. C57BL/6J mice were used as control animals. The results show that pio treatment reduces serum and liver TG, elevates serum HDL-C level, increases serum and liver SOD activity, attenuates serum MDA content, ameliorates liver steatosis, induces liver PPARγexpression and enhances AMPKα phosphorylation level. In conclusion, the results indicate that pio could regulate blood lipid level, reduce liver lipid deposition and enhance antioxidant capacity of mice with lipid metabolic disorder, which is possibly through increasing AMPKα phosphorylation.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".