HDAC1 overexpression promoted by METTL3-IGF2BP2 inhibits FGF21 expression in metabolic syndrome-related liver injury
Bibliographic record
Abstract
Metabolic syndrome (MetS) represents a cluster of diseases that includes diabetes and insulin resistance. A combination of these metabolic disorders damages liver function. We hypothesized here that histone deacetylase 1 (HDAC1) inhibits fibroblast growth factor 21 (FGF21) expression through histone deacetylation, thereby accentuating liver injury in rats with MetS. MetS rats induced by a high-fat diet were monitored weekly for blood pressure and body weight measurement. The changes of hepatic injury parameters were also measured. The pathological changes in the liver were observed by HE staining and oil red O staining. We found that HDAC1 was increased in the liver of rats with MetS, while sh-HDAC1 reduced blood pressure, body weight, and hepatic injury parameters. Improvement of structural pathological alterations and reduction of lipid deposition were observed after HDAC1 inhibition. Notably, HDAC1 inhibited FGF21 expression through histone deacetylation. The hepatoprotective effects of sh-HDAC1 on rats were reversed by adenovirus-mediated knockdown of FGF21. Moreover, methyltransferase-like 3 (METTL3) mediated the N6-methyladenosine (m6A) modification of HDAC1 mRNA and increased its binding to IGF2BP2. Consistently, sh-METTL3 inhibited HDAC1 and increased FGF21 expression, thereby ameliorating liver injury in MetS rats. This study discovered that HDAC1 is capable of managing liver injury in MetS. Targeting HDAC1 may be an optimal treatment for MetS-related liver injury.
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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".