Yo Jyo Hen Shi Ko (YHK) Modulates the Expression of Proteins Involved in de novo Lipogenesis and Lipid Exportation in Experimental Nonalcoholic Steatohepatitis (NASH)
Bibliographic record
Abstract
Previous study by our group showed the protective effect of Yo Jyo Hen Shi Ko (YHK) a natural compound in experimental nonalcoholic steatohepatitis (NASH). The aim of this study was to evaluate whether YHK modulates lipid metabolism.NASH was induced in male ob/ob mice by methionine/choline-deficient (MCD) diet for 4 weeks. YHK-treated animals (YHK) received YHK solution orally (20 mg/kg/day) by gavage while MCD (n=6) group received only vehicle. The control animals (CTRL; n=6) received standard diet. Liver fragments were collected for mRNA and protein isolation. The analysis of gene expression and protein was performed by RT-qPCR and western blot, respectively.A significant decrease in srebp1c mRNA and protein expression and fasn mRNA expression was observed in MCD+YHK group. A significant increase in MTP protein expression was observed in the MCD+YHK vs MCD group while a decreased expression was observed in the MCD vs CTRL group. The expression of the scd1 in the MCD group was diminished. The Perilipin protein expression was augmented in the MCD group in comparison with MCD+YHK and CTRL groups.YHK modulated genes involved in the synthesis and exportation of hepatic lipids, probably limiting hepatocyte lipid accumulation, reducing lipogenesis and upregulating lipid exportation suggesting that the YHK can be a promising drug for treat non-alcoholic fatty liver disease (NAFLD).
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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) | 0.002 | 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".