Beneficial Effects of n‐3 Fatty Acids on Intestinal Lipid Transport in the <i>Psammomys Obesus</i>
Bibliographic record
Abstract
Small intestine plays an important role in the pathogenesis of dyslipidemia in insulin resistance and type 2 diabetes. The aim of the study was to examine the effect of n‐3 fatty acids (FA) on the various events governing intraenterocyte lipid transport in Psammomys obesus , a model of nutritionally induced metabolic syndrome. Increased dietary intake of fish oil lowered body weight and improved hyperglycemia and hyperinsulinemia. It simultaneously decreased intestinal de novo lipogenesis and lipid esterification of the major lipid classes, e.g. triglycerides (TG), phospholipids and cholesteryl esters, particularly in insulin‐resistant and diabetic animals. Accordingly, lessened activity of MGAT and DGAT was recorded. As assessed in cultured jejunal explants incubated with either [ 14 C]‐oleic acid or [ 35 S]‐methionine, fish oil feeding resulted in diminished TG‐rich lipoprotein assembly and apolipoprotein (apo) B‐48 biogenesis, respectively. The mechanisms did not involve apo B‐48 transcription nor alter the gene expression and activity of MTP. The suppressed production of apo B‐48 by n‐3 fatty acids was rather associated with intracellular proteasome‐mediated posttranslational downregulation in insulin‐resistant and diabetic animals. In vivo studies documented the ability of n‐3 FA to impede plasma TG‐rich lipoprotein output following orally gavage or blood circulation infusion of intralipid in animals injected Triton WR‐1339. Our data highlight the beneficial impact of n‐3 fatty acids on the adverse effects of the metabolic syndrome.
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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".