Hesperidin improves hepatic steatosis, hepatic enzymes, and metabolic and inflammatory parameters in patients with nonalcoholic fatty liver disease: A randomized, placebo‐controlled, double‐blind clinical trial
Bibliographic record
Abstract
This study aimed to evaluate the effects of hesperidin on nonalcoholic fatty liver disease (NAFLD) characteristics. In this randomized, double-blind, controlled clinical trial, 50 NAFLD patients were supplemented with either 1-g hesperidin capsule or identical placebo capsule for 12 weeks. During the intervention, both groups were advised to follow healthy lifestyle habits including dietary and physical activity recommendations. At the end of the study, hesperidin supplementation, compared with placebo, was associated with a significant reduction in alanine aminotransferase (p = .005), γ-glutamyltransferase (p = .004), total cholesterol (p = .016), triglyceride (p = .049), hepatic steatosis (p = .041), high-sensitivity C-reactive protein (p = .029), tumor necrosis factor-α, and nuclear factor-κB (NF-κB). In conclusion, our results indicate that hesperidin supplementation accompanied with lifestyle modification is superior to lifestyle modification alone in management of NAFLD at least partially through inhibiting NF-κB activation and improving lipid profile. Further studies with higher dose of hesperidin are required to find the optimal dose.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".