Inflammatory status modifies the actions of n3 fatty acids on vascular function
Bibliographic record
Abstract
We examined the postprandial effects of 3 meals containing unsaturated fatty acids on flow mediated dilation (FMD), serum fatty acids, and inflammatory biomarkers (CRP, Il‐6, TNF‐alpha) in individuals with type 2 diabetes (n=15) at baseline and 4h after the meals. The monounsaturated fatty acid (MUFA) meal contained 50 g fat from high oleic safflower and canola oils. Two additional meals were prepared by replacing 7% to 8% of MUFA with docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) from fish oil, or alpha‐linolenic acid (ALA) from canola oil. In individuals with elevated baseline CRP, change in FMD after the fish oil meal was positively correlated with change in CRP, such that larger increases in CRP were associated with larger improvements in vascular function. However, during the ALA treatment, this group exhibited an inverse relationship between change in FMD and CRP. For subjects with low fasting CRP, CRP response to the ALA meal was positively correlated with FMD response. Changes in FMD and CRP were unrelated during the MUFA meal. In subjects with elevated baseline CRP, FMD response to the n3 meals was proportional to EPA, DHA, total n3, and the ratio of n3 to omega‐6. FMD response was inversely correlated with the ratio of arachidonic acid (AA) to EPA. In conclusion, the specific effects of n3 fatty acids on vascular function appear to be dependent on background inflammatory status of individuals with type II diabetes.
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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 | 0.000 |
| 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".