Hypermethylation of Hepatic Glucokinase and L-Type Pyruvate Kinase Promoters in High-Fat Diet–Induced Obese Rats
Bibliographic record
Abstract
Obesity-dependent insulin resistance and type 2 diabetes mellitus are closely associated with decreased glucose utilization and down-regulation of hepatic glycolytic enzymes expression. Previously, we showed that DNA hypermethylation is involved in age-dependent susceptibility to hepatic insulin resistance and diabetes. However, what we cannot distinguish is whether the age-related obesity contributes to DNA hypermethylation in those natural aging rats. In the present study, we hypothesize that DNA methylation plays a crucial role in the regulation of glycolytic enzymes in the high-fat diet-induced obesity. Here, we report that DNA hypermethylation is correlated with a decline in hepatic glucokinase (Gck) and L-type pyruvate kinase (LPK) expression in high-fat diet-induced obese rats as compared with the control diet group. Down-regulation of Gck and LPK expression are reversed by the 5-aza-2'-deoxycytidine in the cell model of steatosis. These novel observations indicate that DNA methylation is involved in the development of metabolic diseases, such as obesity, insulin resistance, type 2 diabetes mellitus, and nonalcoholic steatohepatitis, suggesting that the hypermethylation level of Gck and LPK promoters may be a useful parameter for the evaluation of obesity-induced insulin resistance and fatty liver.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".