Suppression of Phosphoenolpyruvate Carboxykinase Gene Expression by Secoisolariciresinol Diglucoside (SDG), a New Antidiabetic Agent
Bibliographic record
Abstract
Secoisolariciresinol diglucoside (SDG) from flaxseed has been shown to be effective in preventing/delaying the development of type-1 and type-2 diabetes. The hypoglycemic effect of SDG in type-2 diabetes has been suggested to be due to its antioxidant activity. Hyperglycemia in type-2 diabetes could be due to an increase in the expression of phosphoenolpyruvate carboxykinase (PEPCK), a rate-limiting enzyme in the gluconeogenesis in the liver. It is possible that the hypoglycemic effect of SDG in type-2 diabetes is due to suppression of expression of PEPCK gene. An investigation, therefore, was made on the effect of SDG on the PEPCK gene expression. Primary hepatocyte culture was treated with insulin, a physiological inhibitor of PEPCK gene expression, or with SDG for 12 hours. After RNA extractions, Northern blot analysis was done. SDG in the concentration of 100 μM completely suppressed the expression of PEPCK gene. Insulin in the concentration of 10 nM almost completely suppressed the PEPCK gene expression. The results suggest that SDG suppresses the expression of PEPCK gene and that its known hypoglycemic effect may be due to suppression of PEPCK gene expression.
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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".