Comparison of Lipoprotein-Associated Phospholipase A2 and High Sensitive C-Reactive Protein as Determinants of Metabolic Syndrome in Subjects without Coronary Heart Disease: In Search of the Best Predictor.

High sensitivity C-reactive protein (hsCRP) is a marker of metabolic syndrome (MS) and cardiovascular (CV) disease. Lipoprotein-associated phospholipase A2 (Lp-PLA2) also predicts CV disease. There are no reports comparing these markers as predictors of MS. Methods. Cross-sectional study comparing Lp-PLA2 and hsCRP as predictors of MS in asymptomatic subjects was carried out; 152 subjects without known atherosclerosis participated. Data were collected on demographics, cardiovascular risk factors, anthropometric and biochemical measurements, and hsCRP and Lp-PLA2 activity levels. A logistic regression analysis was performed with each biomarker and receiver operating characteristic (ROC) curves were constructed for MS. Results. Mean age was 46 ± 11 years, and 38% of the subjects had MS. Mean Lp-PLA2 activity was 185 ± 48 nmol/mL/min, and mean hsCRP was 2.1 ± 2.2 mg/L. Subjects with MS had significantly higher levels of Lp-PLA2 (P = 0.03) and hsCRP (P < 0.0001) than those without MS. ROC curves showed that both markers predicted MS. Conclusion. Lp-PLA2 and hsCRP are elevated in subjects with MS. Both biomarkers were independent and significant predictors for MS, emphasizing the role of inflammation in MS. Further research is necessary to determine if inflammation predicts a higher risk for CV events in MS subjects.

Niveles de fosfolipasa A2 asociada a lipoproteína en sujetos sin enfermedad coronaria con riesgo cardiovascular variable / Association of lipoprotein-associated phospholipase activity A2 with cardiovascular risk factors

Background:Lipoprotein-associated phospholipase A2 (Lp-PLA2) is an inflammatory biomarker involved in atherosclerosis and directly associated with cardiovascular events. Aim: To determine Lp-PLA2 levels in asymptomatic subjects with differing cardiovascular risk. Material and Methods: We studied 152 subjects aged 46 ± 11 years (69 women). We recorded traditional cardiovascular risk factors, creatinine, ultrasensitive C-reactive protein, fibrinogen, fasting lipids, blood sugar and activity levels of Lp-PLA2. Cardiovascular risk was classified according to the number of risk factors of each subject (0,1-2 or ≥ 3 risk factors). Besides, we calculated global Framingham risk score. Results: The average Framingham score of participants was 6%. Twenty percent of participants had no risk factors, 46% had 1 or 2 and 34% had ≥ 3. Mean Lp-PLA2 levels were 185 ± 48 nmol/ml/min (201 ± 49 in men and 166 ± 38 in women). Lp-PLA2 correlated significantly (p < 0,05 for all) with non-HDL cholesterol, LDL, HDL, creatinine, waist circumference, body mass index and Framingham risk score. There was no correlation with blood sugar, C-reactive protein, fibrinogen or smoking status. Lp-PLA2 levels were significantly higher according to the number of risk factors: 0 factors: 163 ± 43, 1-2 factors: 185 ± 45 and ≥ 3 factors: 201 ± 47 nmol/ml/min, respectively. Linear regression analysis showed that the best predictor of Lp-PLA2 was non-HDL cholesterol (β= 0,74; p < 0,0001). Conclusions: Lp-PLA2 activity increased along with the number of cardiovascular risk factors and was correlated mainly with non -HDL cholesterol.

[Association of lipoprotein-associated phospholipase activity A2 with cardiovascular risk factors]. / Niveles de fosfolipasa A2 asociada a lipoproteína en sujetos sin enfermedad coronaria con riesgo cardiovascular variable.

BACKGROUND: Lipoprotein-associated phospholipase A2 (Lp-PLA2) is an inflammatory biomarker involved in atherosclerosis and directly associated with cardiovascular events. AIM: To determine Lp-PLA2 levels in asymptomatic subjects with differing cardiovascular risk. MATERIAL AND METHODS: We studied 152 subjects aged 46 ± 11 years (69 women). We recorded traditional cardiovascular risk factors, creatinine, ultrasensitive C-reactive protein, fibrinogen, fasting lipids, blood sugar and activity levels of Lp-PLA2. Cardiovascular risk was classified according to the number of risk factors of each subject (0,1-2 or ≥ 3 risk factors). Besides, we calculated global Framingham risk score. RESULTS: The average Framingham score of participants was 6%. Twenty percent of participants had no risk factors, 46% had 1 or 2 and 34% had ≥ 3. Mean Lp-PLA2 levels were 185 ± 48 nmol/ml/min (201 ± 49 in men and 166 ± 38 in women). Lp-PLA2 correlated significantly (p < 0,05 for all) with non-HDL cholesterol, LDL, HDL, creatinine, waist circumference, body mass index and Framingham risk score. There was no correlation with blood sugar, C-reactive protein, fibrinogen or smoking status. Lp-PLA2 levels were significantly higher according to the number of risk factors: 0 factors: 163 ± 43, 1-2 factors: 185 ± 45 and ≥ 3 factors: 201 ± 47 nmol/ml/min, respectively. Linear regression analysis showed that the best predictor of Lp-PLA2 was non-HDL cholesterol (ß = 0,74; p < 0,0001). CONCLUSIONS: Lp-PLA2 activity increased along with the number of cardiovascular risk factors and was correlated mainly with non -HDL cholesterol.