Active form of vitamin D ameliorates non-alcoholic fatty liver disease by alleviating oxidative stress in a high-fat diet rat model
Bibliographic record
Abstract
The purpose of this study was to determine whether treatment using the active form of vitamin D (1,25(OH)2D3) could protect against high-fat diet (HFD)-induced non-alcoholic fatty liver disease (NAFLD) in rats and ameliorate oxidative stress. Male Sprague-Dawley rats were divided into three groups and treated with standard chow, HFD, or HFD plus intraperitoneal injection of 1,25(OH)2D3 (5 μg/kg body weight, twice per week), respectively, for 16 weeks. Serum lipid profiles, hepatic function, intrahepatic lipid, and calcium levels were determined. Hepatic histology was examined using hematoxylin/eosin, Masson’s trichrome, and Oil Red O staining. Oxidative stress was assessed by measuring hepatic malondialdehyde (MDA) and F2α-isoprostane content. Expression of nuclear factor-erythroid-2-related factor 2 (Nrf2) and downstream target genes was analyzed using quantitative RT-PCR. 1,25(OH)2D3 treatment improved the serum lipid profile, reduced intrahepatic lipid levels, and attenuated hepatic steatosis and inflammation in HFD rats. Furthermore, MDA and F2α-isoprostane levels in liver tissue were reduced by 1,25(OH)2D3 administration. Although 1,25(OH)2D3 did not regulate the expression of Nrf2 mRNA, it did induce Nrf2 nuclear translocation. The expression of Nrf2 target genes, including Gclc, Nqo1, Sod2, and Cat, was up-regulated by 1,25(OH)2D3. We conclude that 1,25(OH)2D3 protects against HFD-induced NAFLD by attenuating oxidative stress, inducing NRF2 nuclear translocation, and up-regulating the expression of genes encoding antioxidant enzymes.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".