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. 2013 Sep 23:11:222.
doi: 10.1186/1479-5876-11-222.

"V体育安卓版" Plasma microRNA-133a is a new marker for both acute myocardial infarction and underlying coronary artery stenosis

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Plasma microRNA-133a is a new marker for both acute myocardial infarction and underlying coronary artery stenosis

Feng Wang (V体育平台登录) et al. J Transl Med. .

Abstract

Background: Previous study demonstrated that miR-133a was released into blood from injured myocardium in cardiovascular diseases VSports手机版. However, the dynamic change of circulating miR-133a level in the early phase of acute myocardial infarction (AMI) and the correlation between miR-133a and severity of coronary stenosis in coronary heart disease (CHD) patients are not clear. .

Methods and results: Three different cohorts (including 13 AMI patients, 176 angina pectoris patients and 127 control subjects) were enrolled to investigate the expression levels of circulating miR-133a in patients with myocardial ischemia and also the relationship between plasma miR-133a and severity of coronary stenosis V体育安卓版. Plasma miR-133a levels of participants were examined by real-time quantitative PCR. Simultaneously, plasma cardiac troponin I (cTnI) concentrations were measured by ELISA assays. The results showed that circulating miR-133a level was significantly increased in AMI patients in time-dependent manner, and achieved a 72. 1 fold peak at 21. 6 ± 4. 5 hours after the onset of AMI symptoms and exhibited a similar trend to plasma cTnI level. We also found that plasma miR-133a levels were higher in CHD patients than control group. Importantly, the levels of circulating miR-133a positively correlated with the severities of the coronary artery stenosis. Receiver operating characteristic (ROC) analysis revealed that circulating miR-133a had considerable diagnostic accuracy for CHD with an AUC of 0. 918 (95% confidence interval 0. 877-0. 960). .

Conclusions: Circulating miR-133a may be a new biomarker for AMI and as a potential diagnostic tool. And increased miR-133a level may be used to predict both the presence and severity of coronary lesions in CHD patients. V体育ios版.

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"V体育ios版" Figures

Figure 1
Figure 1
Expression pattern of circulating miR-133a and cTnI in AMI patients. (A and B) The expressions of circulating miR-133a and cTnI in AMI patients at various time points; (C) Time courses of circulating miR-133a and cTnI in AMI patients; (D) The correlation between miR-133a and cTnI in plasma from AMI patients. Data were presented as mean ± SEM, *p < 0.05, **p < 0.01 versus healthy control; #p < 0.05, ##p < 0.01 versus peak expression (Statistical methods: ANOVA and linear regression analysis were used as appropriate).
Figure 2
Figure 2
Expression pattern of circulating miR-133a and cTnI in CHD patients with single stenosis in the proximal of left anterior descending coronary artery. (A and B) The expressions of circulating miR-133a and cTnI in CHD patients with single stenosis of coronary artery; (C) The correlation between plasma miR-133a and the degree of coronary atherosclerotic stenosis in CHD patients with single stenosis in the proximal of left anterior descending coronary artery. Data were presented as mean ± SEM, *p < 0.05, **p < 0.01, NS, not significant versus non-CHD chest pain patient (Statistical methods: Student’s t test and linear regression analysis were used as appropriate).
Figure 3
Figure 3
Expression pattern of circulating miR-133a and cTnI in validation cohort of CHD patients. (A and B) The expressions of circulating miR-133a and cTnI in CHD patients with complex stenosis of coronary artery; (C and D) The correlation between circulating miR-133a, cTnI and the Gensini scores in total CHD patients. Data were presented as mean ± SEM, *p < 0.05, **p < 0.01 versus non-CHD chest pain patient (Statistical methods: Student’s t test and linear regression analysis were used as appropriate).
Figure 4
Figure 4
Expression pattern of circulating miR-133a and cTnI in subgroups of CHD patients. (A and B) The expressions of cTnI and circulating miR-133a in subgroups of CHD patients with complex stenosis of coronary artery; (C and D) The correlation between circulating miR-133a and the Gensini scores in patients from group 1 and group 2; Data were presented as mean ± SEM, *p < 0.05, **p < 0.01 versus non-CHD chest pain patient (Statistical methods: Student’s t test and linear regression analysis were used as appropriate).
Figure 5
Figure 5
Diagnostic value of cardiac troponin I and circulating miR-133a in CHD patients. (A) Total CHD patients compared to non-CHD patients in the third cohort; (B) CHD patients from group 1 compared to non-CHD patients in the third cohort; (C) CHD patients from group 2 compared to non-CHD patients in the third cohort (Statistical methods: receiver operating characteristic (ROC) curve and multiple logistic regression analysis).

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