Abstract 441: Lipoprotein-Associated Phospholipase A2 (Lp-PLA2) is Elevated in Acute Coronary Syndromes and Resides Predominantly in LDL
Bibliographic record
Abstract
Lipoprotein associated phospholipase A2 (Lp-PLA2) may play a role in the formation of vulnerable atherosclerotic plaques and plaque rupture. Its plasma distribution and mass in subjects with acute coronary syndromes (ACS) are not characterized. The objective of this study was to examine plasma levels and distribution of Lp-PLA2 in patient with ACS. We compared plasma levels of LP-PLA2 in 23 patients within 48 hours of presentation of an ACS (visit 1) and 12 weeks after (visit 2), in 24 patients with chronic, stable coronary artery disease (sCAD) and in normal healthy controls. The distribution of Lp-PLA2 was determined by ultracentrifugation (UTC), high-performance liquid chromatography (HPLC), and polyethylene glycol (PEG) precipitation of plasma lipoproteins and immunoblotting analysis. Lp-PLA2 mass was determined by ELISA The ACS patients (18 males/5 females, mean age 57±9.2) had hsCRP levels of 32.6±60.4 mg/L (ACS visit1) vs. 1.9±1.3 mg/L (ACS visit2), reflecting systemic inflammation. Stable CAD hsCRP 1.3±1.3 mg/L and controls 0.6±0.2 mg/L did not differ significantly. HDL cholesterol levels were 1.02±0.24 mmol/L for ACS visit 1, 1.00±0.3 mmol/L for ACS visit2, and 1.11±0.29 mmol/L for stable CAD. Plasma Lp-PLA2 levels were significantly higher in ACS visit1 subjects than in the ACS visit2 (144.3±60.6 vs. 89.5±40.0 ng/mL, p<0.0001). Interestingly, sCAD patients had slightly higher Lp-PLA2 levels that ACS visit 2 (p=0.003). The distribution of Lp-PLA2 differed according to the technique used. We found that only approximately 45% of Lp-PLA2 mass remained in the lipoprotein fraction (d<1.21 g/L) after UTC, with the majority (43%) in the LDL fraction and only <3% in the HDL fraction. The remainder (55% was found in the d>1.21 g/L, suggesting that Lp-PLA2 is only loosely bound to lipoproteins, and the majority resides in LDL. Here, we show that subjects with an ACS have markedly increased Lp-PLA2 levels acutely and that these levels fall within 12 weeks. Surprisingly, Lp-PLA2 is only loosely bound to lipoproteins and may be displaced in inflammatory conditions. The increase in Lp-PLA2 in ACS may contribute to the generation of oxidized fatty acyls and lysophopsphlipids and potentially compound the local inflammatory reaction.
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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) | 0.000 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".