Exercise restores bioavailability of hydrogen sulfide and promotes autophagy influx in livers of mice fed with high-fat diet
Bibliographic record
Abstract
In the gold standard treatment for nonalcoholic fatty liver disease (NAFLD), exercise training has been shown to effectively improve nonalcoholic steatohepatitis (NASH). However, limited data are available about the underlying mechanisms involved. This work was undertaken to investigate the mechanisms underlying the beneficial effect of exercise training on high-fat diet (HFD)-induced NAFLD in mice. Male mice were fed with HFD and given moderate-intensity exercise for 24 weeks. Exercise training lowered mass gain, attenuated systemic insulin resistance and glucose intolerance, and mitigated hepatic steatosis and fibrosis in mice fed with HFD. Exercise training improved mitochondrial function and enhanced mitochondrial β-oxidation in livers of HFD-fed mice. Exercise training enhanced hydrogen sulfide (H2S) levels in plasma and livers, and mRNA expression of cystathionine β-synthase (CBS), cystathionine γ-lyase (CES), and 3-mercaptopyruvate sulfurtransferase (3-MST) in livers of HFD-fed mice. Exercise training had no significant effect on the ratio of LC3-II/LC3-I, but decreased p62 protein expression in livers of HFD-fed mice. Additionally, exercise training reduced formation of malondialdehyde, enhanced ratio of GSH/GSSG, and down-regulated expression of TNF-α and IL-6 in livers of HFD-fed mice. Exercise training restored bioavailability of H2S and promoted autophagy influx in livers, which might contribute to its benefit on HFD-induced 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 | 0.001 |
| 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".