Adipocyte‐derived Lipoprotein Lipase Induces Macrophage Activation and Monocyte Adhesion: Role of Fatty Acids
Bibliographic record
Abstract
OBJECTIVE: We evaluated the effect of adipocyte-derived lipoprotein lipase (LPL) on macrophage activation and monocyte adhesion and the role of fatty acids in these effects. RESEARCH METHODS AND PROCEDURES: 3T3-L1 adipocytes were incubated with heparin or insulin to induce LPL secretion; then adipocyte conditioned media (CM) were added to cultured J774 macrophages or human aortic endothelial cells (HAECs). Macrophage cytokine production and monocyte adhesion to HAECs were determined. RESULTS: Incubation of macrophages with heparin- or insulin-treated adipocyte CM increased tumor necrosis factor alpha, interleukin-6, and nitric oxide production by these cells. LPL neutralization and heparinase treatment prevented these effects. Addition of active LPL or palmitate to cultured macrophages replicated these effects. Blockade of leptin also reduced the effect of insulin-treated adipocyte CM on macrophage inflammatory changes. Induction of macrophage cytokine secretion by leptin was prevented by LPL immunoneutralization. Finally, addition of CM of heparin- or insulin-treated adipocytes to HAECs stimulated monocyte adhesion to these cells, an effect that was abrogated by an anti-LPL antibody. This effect was reproduced by treating HAECs with active LPL or palmitate. DISCUSSION: These results point to an effect of LPL-mediated lipolysis in macrophage activation and monocyte adhesion.
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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 | 0.000 | 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) | 0.000 | 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".