C-reactive protein enhances macrophage lipoprotein lipase expression
Bibliographic record
Abstract
High serum levels of C-reactive protein (CRP), a strong predictor of cardiovascular events, are documented in patients with type 2 diabetes. Accumulating evidence suggests that CRP could directly promote arterial damage. To determine the role of CRP in diabetic atherosclerosis, we examined the effect of CRP on the expression of macrophage lipoprotein lipase (LPL), a proatherogenic molecule upregulated in type 2 diabetes. Treatment of human macrophages with native CRP increased, in a dose- and time-dependent manner, LPL protein expression and secretion. Modified CRP reproduced these effects. Preincubation of human macrophages with antioxidants, protein kinase C (PKC), and mitogen-activated protein kinase (MAPK) inhibitors prevented CRP-induced LPL expression. Exposure of human macrophages to CRP further increased intracellular reactive oxygen species generation, classic PKC isozymes expression, and extracellular signal-regulated protein kinase 1/2 phosphorylation. In CRP-treated J774 macrophages, increased macrophage LPL mRNA levels and enhanced binding of nuclear proteins to the activated protein-1 (AP-1)-enhancing element were observed. These effects were prevented by antioxidants, as well as by PKC, MAPK, and AP-1 inhibitors. These data show for the first time that CRP directly increases macrophage LPL expression and secretion. Given the predominant role of macrophage LPL in atherogenesis, LPL might represent a novel factor underlying the adverse effect of CRP on the diabetic vasculature.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".