Histopathological and biochemical changes in the development of nonalcoholic fatty liver disease induced by high-sucrose diet at different times
Bibliographic record
Abstract
The high intake of sweetened drinks is associated with obesity and insulin resistance. These pathologies are directly related to the development of nonalcoholic fatty liver disease (NAFLD), considered a condition of metabolic syndrome (MS). Due to their increasing worldwide prevalence, experimental animal models have been developed to gain a better understanding of its physiopathology; notwithstanding, few studies have evaluated its progression in association with MS and ingestion of sweetened drinks. Therefore, the aim of this study was to understand the pathophysiologic characteristics of NAFLD related to sucrose concentration and time of ingestion in rats. Wistar rats were divided into 2 groups with free access to either tap water or 30% sucrose, and euthanized at 12, 16, or 20 weeks; and 2 additional groups were given free access to either 40% or 50% sucrose and were euthanized at 20 weeks. Biochemical parameters and levels of serum cytokines were measured, and histology was performed. Ingestion of 30% sucrose induced liver steatosis until 16 weeks (grade 2) and 20 weeks (grade 3). Meanwhile, during 20 weeks, 40% sucrose induced grade 5 of nonalcoholic steatohepatitis (NASH) and 50% sucrose induced grade 6 of NASH and fibrosis. This study demonstrated that increasing time of induction and concentration of sucrose ingestion resulted in a higher grade of 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 | 0.001 | 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) | 0.002 | 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".