Association of plasma pentraxin-3 levels with coronary risk factors and the lipid profile: a cross-sectional study in Japanese patients with stable angina pectoris

• Published in: Heart and vessels Vol. 33; no. 11; pp. 1301 - 1310
• Main Authors: Morishita, Tetsuji, Uzui, Hiroyasu, Nakano, Akira, Fukuoka, Yoshitomo, Ikeda, Hiroyuki, Amaya, Naoki, Kaseno, Kenichi, Ishida, Kentaro, Lee, Jong-Dae, Tada, Hiroshi
• Format: Journal Article
• Language: English
• Published: Tokyo Springer Japan 01-11-2018; Springer Nature B.V
• Subjects: Acute-Phase Proteins; Aged; Aged, 80 and over; Angina; Angina pectoris; Angina, Stable - blood; Angina, Stable - epidemiology; Arteriosclerosis; Atherosclerosis; Biomarkers - blood; Biomedical Engineering and Bioengineering; Body mass; Body mass index; Body size; C-Reactive Protein - metabolism; Cardiac Surgery; Cardiology; Cardiovascular disease; Cardiovascular diseases; Confidence intervals; Coronary artery; Coronary artery disease; Coronary Artery Disease - blood; Coronary Artery Disease - diagnosis; Coronary Artery Disease - epidemiology; Cross-Sectional Studies; Diabetes mellitus; Dyslipidemia; Female; Health risk assessment; Health risks; Heart diseases; High density lipoprotein; Humans; Hypertension; Incidence; Japan - epidemiology; Lipids - blood; Low density lipoprotein; Male; Medicine; Medicine & Public Health; Multivariate analysis; Obesity; Original Article; Patients; Pentraxins; Regression analysis; Risk analysis; Risk Assessment; Risk Factors; Serum Amyloid P-Component - metabolism; Statistical analysis; UMIN; UMIN000023837; Vascular Surgery; Japan; Stable angina pectoris; Pentraxin-3; C-reactive protein; Risk factor
• ISSN: 0910-8327; 1615-2573
• DOI: 10.1007/s00380-018-1191-8

The aim of this study was to evaluate the relationships among the traditional risk factors, lipid profile, and pentraxin-3 in stable angina (SAP). Plasma pentraxin-3 and serum LDL, HDL, and high-sensitivity CRP levels were measured in 163 SAP and 28 non-coronary artery disease (CAD) patients. Their relationships with five risk factors, hypertension (HT), dyslipidemia (DL), diabetes mellitus (DM), obesity (body mass index: BMI > 25 kg/m
2
), and high age (> 75 years), were evaluated. No significant difference was observed in the pentraxin-3 level between patients in SAP and in non-CAD [2.1 (1.4–3.5) ng/ml versus off 2.6 (1.6–3.8) ng/ml,
P
 = 0.56). In SAP patients, pentraxin-3 levels decreased with more risk factors, according to the number of 3 traditional risk factors (HT, DL, and DM) and the number of 5 expanded risk factors (HT, DL, DM, obesity, and high age) (
P
for trend = 0.01 and 0.05, respectively). Pentraxin-3 showed a positive association with HDL (rs = 0.229;
P
 = 0.050) and an inverse association with LDL (rs = − 0.224;
P
 = 0.045). On multiple logistic regression, the number of 3 traditional risk factors was a significant predictor of pentraxin-3 levels (odds ratio = 0.444; 95% confidence interval  0.205–0.963,
P
 = 0.040) in SAP patients. In SAP patients, the cardiovascular risk factor burden remained a negative impact on pentraxin-3 levels after multivariate analysis, suggesting that they have distinct roles in atherosclerosis.
Trial registration: UMIN000023837.