Correlation of NLRP3 with severity and prognosis of coronary atherosclerosis in acute coronary syndrome patients

被引:131
作者
Afrasyab, Altaf [1 ]
Qu, Peng [1 ]
Zhao, Yang [1 ]
Peng, Kuang [1 ]
Wang, Hongyan [1 ]
Lou, Dayuan [1 ]
Niu, Nan [1 ]
Yuan, Dajun [1 ]
机构
[1] Dalian Med Univ, Inst Cardiovasc Dis, Cardiovasc Dept Internal Med, Affilated Hosp 2, 467 Zhongshan Rd, Dalian 116023, Peoples R China
关键词
NLRP3; inflammasome; Coronary atherosclerosis; Acute coronary syndrome; Angiographic scores; Coronary risk scores; TIMI RISK SCORE; ACUTE MYOCARDIAL-INFARCTION; SYNTAX SCORE; ARTERY-DISEASE; INFLAMMASOME ACTIVATION; ACUTE CATHETERIZATION; COMPUTED-TOMOGRAPHY; UNSTABLE ANGINA; TASK-FORCE; INTERVENTION;
D O I
10.1007/s00380-015-0723-8
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
We decided to assess the prognostic value of NLRP3 inflammasome level in acute coronary syndrome (ACS) patients and whether it was related to coronary atherosclerotic severity. Study population included one-hundred and twenty-three (123) subjects. Peripheral blood monocyte NLRP3 protein level was correlated with clinical presentation, angiographic characteristics and its scoring systems as well as GRACE and TIMI risk scores. Follow-up for major adverse cardiac events (MACE) was carried out at 180 days. Peripheral blood monocyte NLRP3 was found to be elevated in ACS patients (P < 0.05) and showed positive correlation with GRACE score (r = 0.619), TIMI score (r = 0.580), SYNTAX score (r = 0.550), Clinical SYNTAX score (r = 0.564) and Gensini score (r = 0.516). NLRP3 was also increased with increasing number of vessels, the number of lesions present and the presence bifurcation lesions (P < 0.05). Multivariate Cox regression analysis showed NLRP3 to be an independent predictor of MACE (P = 0.043). Kaplan-Meier analysis and receiver operating characteristic curves for NLRP3 showed good predictive value for MACE. There is a positive correlation of NLRP3 level with severity of coronary atherosclerosis. NLRP3 level is a promising prognostic utility and is efficient in event prediction for MACE.
引用
收藏
页码:1218 / 1229
页数:12
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