n‐3 fatty acids on utero programming of insulin resistance, NASH and hyperlipidemia in Psammomys obesus
Bibliographic record
Abstract
Nonalcoholic steatohepatitis (NASH) represents the inflammatory form of liver steatosis, which can progress to fibrosis and cirrhosis. NASH is associated with features of the insulin resistance syndrome. In view of the hypothesis that under nutrition in utero enduringly affects the function and metabolism, thereby leading to coronary heart disease in later life, we attempted to examine whether n‐3 fatty acid (FA) supplementation during pregnancy may prevent metabolic disorders and NASH in the adult period. Experiments were carried out on Psammomys obesus gerbils, a model of nutritionally induced metabolic syndrome. Pregnant females were assigned to an isocaloric control diet or a diet rich in fish oil and analyses were carried out in the offspring of diabetic mothers. Our findings could document: (1) a decrease in obesity as assessed by body weight and adipose tissue mass; (2) diminished hyperlipidemia, hyperglycemia and insulin resistance; (3) reduced amounts of lipid content in the liver; (4) lessened inflammation as reflected by the levels of TNFα; and (5) raised levels of adiponectine. Further experiments disclosed a reduced gene expression of FA synthase, malic enzyme and acetyl CoA carboxylase, emphasizing attenuation in hepatic lipogenesis. Overall, our results suggest that maternal nutrition influences fetal programming, insulin resistance and diabetes in later life. Furthermore, our works emphasizes the impact of n‐3 FA on intrauterine mechanisms regulating risk factors of cardiovascular health during adulthood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".