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Predicting significance of COX-2 expression of peripheral blood monocyte in patients with coronary artery disease.

ABSTRACT: Background:Cyclooxygenase-2 (COX-2) plays an important role in the monocyte-platelet aggregate (MPA)-medicated inflammatory response and possible coronary artery disease (CAD). This study aimed to assess the predicting significance of COX-2 expression in peripheral blood monocyte for CAD. Methods:A total of 66 patients with CAD including stable angina (SA) and unstable angina (UA) were enrolled. The inflammatory indexes including white blood cell (WBC) count, high-sensitive C reactive protein (hs-CRP), serum monocyte chemoattractant protein-1 (MCP-1) and MPA levels were measured. The western-blotting assay and reverse transcription-polymerase chain reaction (RT-PCR) analysis were used to detect the COX-2 expression in peripheral blood monocytes. Furthermore, the correlation between COX-2 expression and MPA levels, and the association of COX-2 expression with CAD risk were assessed. Results:The UA patients demonstrated higher levels of inflammatory indexes than the SA patients (P<0.001). Simultaneously, higher MPA levels and enhanced COX-2 expression were observed in the UA patients (P<0.01). The patients with enhanced COX-2 expression exhibited higher MPA than those without (P<0.01), and patients with increased MPA also demonstrated enhanced COX-2 expression (P<0.001). Moreover, the levels of COX-2 protein expression was positively related to the MPA formation rates (R2=0.4933, P<0.01), and enhanced COX-2 expression was independently associated with CAD risk [odds ratio (OR): 6.322, 95% confidence interval (CI): 4.544-8.978 ]. Conclusions:The COX-2 expression of peripheral blood monocytes can be used as an independent predictor for CAD.

SUBMITTER: Huang Q

PROVIDER: S-EPMC6803216 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Predicting significance of COX-2 expression of peripheral blood monocyte in patients with coronary artery disease.

Huang Qinghua Q Fei Xianming X Li Shengbing S Xu Chan C Tu Chunping C Jiang Lei L Wo Mingyi M

Annals of translational medicine 20190901 18

<h4>Background</h4>Cyclooxygenase-2 (COX-2) plays an important role in the monocyte-platelet aggregate (MPA)-medicated inflammatory response and possible coronary artery disease (CAD). This study aimed to assess the predicting significance of COX-2 expression in peripheral blood monocyte for CAD.<h4>Methods</h4>A total of 66 patients with CAD including stable angina (SA) and unstable angina (UA) were enrolled. The inflammatory indexes including white blood cell (WBC) count, high-sensitive C reac ...[more]

PMID: 31700919

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Project description:Predictive assessment of the risk of developing cardiovascular diseases is usually provided by computational approaches centred on Cox models. The complex interdependence structure underlying clinical data patterns can limit the performance of Cox analysis and complicate the interpretation of results, thus calling for complementary and integrative methods. Prognostic models are proposed for studying the risk associated with patients with known or suspected coronary artery disease (CAD) undergoing vasodilator stress echocardiography, an established technique for CAD detection and prognostication. In order to complement standard Cox models, network inference is considered a possible solution to quantify the complex relationships between heterogeneous data categories. In particular, a mutual information network is designed to explore the paths linking patient-associated variables to endpoint events, to reveal prognostic factors and to identify the best possible predictors of death. Data from a prospective, multicentre, observational study are available from a previous study, based on 4313 patients (2532 men; 64±11 years) with known (n=1547) or suspected (n=2766) CAD, who underwent high-dose dipyridamole (0.84?mg?kg(-1) over 6?min) stress echocardiography with coronary flow reserve (CFR) evaluation of left anterior descending (LAD) artery by Doppler. The overall mortality was the only endpoint analysed by Cox models. The estimated connectivity between clinical variables assigns a complementary value to the proposed network approach in relation to the established Cox model, for instance revealing connectivity paths. Depending on the use of multiple metrics, the constraints of regression analysis in measuring the association strength among clinical variables can be relaxed, and identification of communities and prognostic paths can be provided. On the basis of evidence from various model comparisons, we show in this CAD study that there may be characteristic factors involved in prognostic stratification whose complexity suggests an exploration beyond the analysis provided by the still fundamental Cox approach.

Dataset Information

Predicting significance of COX-2 expression of peripheral blood monocyte in patients with coronary artery disease.

Publications

Predicting significance of COX-2 expression of peripheral blood monocyte in patients with coronary artery disease.

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