Omega‐3 fatty acids protect from diet‐induced obesity, glucose intolerance, and adipose tissue inflammation through PPARγ‐dependent and PPARγ‐independent actions
Bibliographic record
Abstract
SCOPE: We tested herein the hypothesis that peroxisome proliferator activated receptor γ (PPARγ) is a major mediator of omega-3 (n-3) protective actions against high-fat diet (HFD) induced obesity, glucose intolerance, and adipose tissue inflammation. METHODS AND RESULTS: C57BL6 wild-type and fat-1 transgenic (fat-1) mice were fed a low-fat diet (LFD) or HFD, treated or not with PPARγ antagonist, and evaluated for energy balance, adiposity, glucose tolerance, and adipose tissue inflammation. Fat-1 mice were protected from obesity, fasting hyperglycemia, glucose intolerance, and adipose tissue inflammation. PPARγ inhibition completely abolished fat-1 protection against HFD-induced glucose intolerance, but not obesity or adipose tissue inflammation. To investigate the role of myeloid cell as mediator of n-3 beneficial metabolic actions, mice with deletion (LyzM-PPARγ(KO)) or nondeletion (LyzM-PPARγ(WT)) of PPARγ in myeloid cells were fed either LFD or HFD (lard) or an HFD rich in n-3 (fish oil). Our findings indicate that myeloid cell associated PPARγ is not involved in the attenuation of HFD-induced glucose intolerance and adipose tissue inflammation induced by n-3. CONCLUSION: High endogenous n-3 fatty acid levels protect from HFD obesity, glucose intolerance, and adipose tissue inflammation. Among these, only protection against glucose intolerance is mediated by non-myeloid cell PPARγ.
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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) | 0.002 | 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".