Dietary low ratio of n‐6/n‐3 polyunsaturated fatty acids improve type 2 diabetes mellitus via activating brown adipose tissue in male mice
Bibliographic record
Abstract
The ratio n-6/n-3 polyunsaturated fatty acids (PUFA) has been caused widespread discussion. However, the best ratio and mechanism of n-6/n-3 PUFA in type 2 diabetes mellitus (T2DM) are largely unknown. This study investigated the effects of different ratio of n-6/n-3 PUFA diets on brown adipose tissue (BAT) and T2DM in mice. Results showed that compared with high ratio of n-6/n-3 PUFA (50:1) diet, lower ratio of n-6/n-3 PUFA (1:1 and 5:1) diets significantly increased BAT mass by 67.55% and 60.49%, decreased the fasting blood glucose (24.87% and 20.64%), total cholesterol (32.9% and 23.84%), triglyceride (33.51% and 29.62%), low-density lipoprotein cholesterol (19.23% and 17.38%), and increased glucose tolerance by 21.99% and 15.52%. Further, qRT-PCR analyses indicated that lower ratio of n-6/n-3 PUFA diets activated BAT, increased the expression of Ucp1, β-3AR, PPAR-γ, cAMP, GLU1, HSL, LPL, and PGC-1α, further improved lipid and glucose metabolism in T2DM mice. In conclusion, this study substantiated that the lower ratio of n-6/n-3 PUFA (1:1 and 5:1) improve symptoms associated with T2DM via activating BAT. PRACTICAL APPLICATION: Dietary ratio of n-6/n-3 polyunsaturated fatty acids is essential for the improvement of chronic diseases. Our current study showed that 1:1 or 5:1 ratio of n-6/n-3 polyunsaturated fatty acids had better efficiency for type 2 diabetes mellitus via activating brown adipose tissue when compared with 1:50. This finding provided useful guidance for the daily diet of patients with diabetes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".