Abstract 664: Effects of Eicosapentaenoic Acid Plus Docosapentaenoic Acid and Eicosapentaenoic Acid Alone on Fasting and Postprandial Monocyte Phenotypes
Bibliographic record
Abstract
Background and objective: Fasting and postprandial (PP) hypertriglyceridemia is associated with increased lipid accumulation in circulating monocytes and monocyte phenotypic changes, e.g., increased expression of CD11c (a β2 integrin), which may increase risk for atherosclerosis. Omega-3 fatty acids lower circulating triglycerides (TG). This study examined whether treatment with omega-3 fatty acids improves fasting and PP monocyte phenotypes associated with hypertriglyceridemia. Methods: This was an open-label, randomized, crossover study of men and women with elevated TG (200-400 mg/dL) to evaluate the effects of MAT9001 (eicosapentaenoic acid [EPA] plus docosapentaenoic acid [DPA], Matinas BioPharma Inc., USA), compared to Vascepa (EPA-ethyl esters [EE] only, Amarin Pharma Inc., USA), administered at 4 g/d dosages for 15 d (≥28-d washout between treatments). Fasting and PP (4 and 6 h) TG and monocyte phenotypes (analyzed by flow cytometry) were examined prior to and on d 15 of each treatment. Results: MAT9001 and Vascepa lowered fasting TG from baseline (-32% and -19% respectively; both p≤0.04; n=26-29). Only MAT9001 significantly reduced PP TG area under the curve (AUC) from pre- to post-treatment (p<0.01). The reduction in TG AUC was greater for MAT9001 (-23%) vs. Vascepa (+4%) (p=0.01). Treatment with MAT9001 or Vascepa reduced fasting and PP CD11c mean fluorescent intensity (MFI) levels on classical (cM) and intermediate (iM) monocytes by 6.3-23.2% (no significant differences between treatments; Table). Only MAT9001 significantly reduced PP CD11c MFI on nonclassical monocytes (ncM) and lowered fasting nile red levels, indicating less lipid accumulation, in cM and iM (Table). Summary: Decreases in TG produced by MAT9001 or Vascepa in men and women with hypertriglyceridemia were associated with reduced fasting and PP CD11c on cM and iM. MAT9001, but not Vascepa, significantly reduced PP ncM CD11c and fasting cM and iM nile red staining for lipids.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".