Background: Differences in microRNA (miRNA) profiles between patients with and without coronary heart disease (CHD)have not been fully determined. The purpose of the study was to evaluate in a multi-ethnic population in China the predictive value of miRNAs previously suggested to have a role in CHD. Subject and method: 932 participants were included, and plasma samples obtained. A quantitative reverse-transcription PCR(RT-qPCR) assay was conducted to confirm the concentration of plasma miRNAs. Circulating levels of miRNAs were quantified using the 2-Δct method. The severity of coronary atherosclerosis was evaluated via Gensini Scores. Result: The circulating levels of the nine proposed miRNAs were not different among the five main ethnicities examined (all p > 0.05). The Spearman correlation analyses indicated that miR-221 and miR-130a were negatively associated with the severity of CHD as indicated by Gensini Scores (r = -0.106, p = 0.001;r = -0.073, p = 0.026). Results of the univariate analysis showed that lower circulating miR-221 (OR, 1.663; 95 % CI, 1.255-2.202, p = <0.001), miR-155 (OR, 1.520; 95 % CI, 1.132-2.042, p = 0.005), and miR-130a (OR, 1.943; 95% CI, 1.410-2.678, p = <0.001) were potential risk factors for CHD. Moreover, miR-130a (OR, 2.405; 95 % CI, 1.691-3.421, p = <0.001) remained independently associated with the risk of CHD after adjusting for potential confounding factors. The analysis of the possible positive/negative associations between miR-221, miR-155 and miR-130awere conducted. A positive association between miR-130a and miR-155 was found (SI = 1.60, SIM = 1.21 and AP = 0.22), and in these groups, the proportion of CHD attributable to the interaction between miR-130a and miR-155 was as high as 22 %. A negative interaction was found between miR-221 and miR-130a (SI = 0.68, SIM = 0.60 and AP = 0.27). Conclusion: Plasma levels of miR-221, miR-130a and miR-155 decreased in patients with CHD, and miR-130a may be an independent predictor for CHD.
The aim of this study was to identify the synergistic effect of microRNA expression with classical risk factors of coronary heart disease (CHD) and to explore their diagnostic value for coronary stenotic lesions in subjects with CHD. Plasma samples were obtained from 66 subjects with CHD and from 58 control individuals. A quantitative reverse-transcription PCR (RT-qPCR) assay was conducted to confirm the relative expressions of the known CHD-related miRNAs. The severity of coronary atherosclerosis was based on the Gensini scoring system. The expression of miR-125b in plasma of the CHD group was lower than that of the non-CHD group (0.14 ± 0.09 vs. 0.18 ± 0.10, p = 0.055), and the miR-125b levels significantly decreased following an increasing Gensini score (P = 0.037). Spearman correlation analyses indicated the Gensini score was negatively associated with miR-125b (r = −0.215, p = 0.017). Of all the miRNAs, miR-125b showed the lowest AUC (0.405; 95% CI: 0.305 ~ 0.506, p = 0.070). We found several synergistic effects between miR-125b and classical risk factors, such as age, sex, CR, FBG and HDL-C; the proportion of CHD attributable to the interaction of miR-125b and age was as high as 80%. Therefore, miR-125b was shown to play an important role in individual’s susceptibility to developing CHD.
Background: The diameters of the coronary arteries have been suggested to be a potential predictor of coronary artery disease (CAD). However, whether the diameters of the coronary arteries are associated with the coronary lesion severity on angiography has not been determined. Methods: One hundred sixty-seven consecutive adult patients (109 men and 58 women) aged 31–84 years who underwent coronary angiography for suspected or known CAD were enrolled. The known catheter tip diameter was used as the calibration to measure the diameters of coronary arteries, and the severity of coronary lesions was evaluated with the vessel score and Gensini score. Results: In patients with a higher vessel score and Gensini score, the diameters of the left main (LM), left anterior descending (LAD), left circumflex (LCX), and right coronary arteries (RCA) were smaller (all p<0.05) than those in patients with lower scores. Multiple linear regression analysis indicated that the average coronary artery diameter was significantly associated with the Gensini score (β=-0.444, p<0.00001). Moreover, the diameters of the coronary arteries were potential predictors of CAD, with areas under the receiver operating characteristic curves of 0.268 for average diameter (95% confidence interval [CI]: 0.183–0.353, p<0.00001), 0.356 for the LM diameter (95% CI: 0.266–0.445, p=0.005), 0.214 for the LAD diameter (95% CI: 0.136–0.291, p<0.00001), 0.366 for the LCX diameter (95% CI: 0.271–0.461, p=0.009), and 0.346 for the RCA diameter (95% CI: 0.245–0.447, p=0.003). Conclusion: The diameters of coronary arteries are inversely associated with the severity of CAD.
Aims: We evaluated the synergistic effect of lipoprotein-associated phospholipase A2 (Lp-PLA2) in association with classical risk factors in predicting coronary heart disease (CHD) and demonstrated the diagnostic value of Lp-PLA2 for predicting coronary stenotic lesions in subjects with CHD. Methods: Blood samples were acquired from 911 consecutive adult subjects (662 males and 249 females) from 11 ethnic groups. Lp-PLA2 plasma levels were detected using a commercially available turbidimetric immunoassay (TIA). CHD in patients was confirmed using coronary angiography, and the severity of coronary atherosclerosis was assessed using the Gensini scoring system. Results: A binary logistic regression was performed to analyse the relationships between Lp-PLA2 and other risk factors. A multivariate logistic regression analysis revealed that Lp-PLA2 levels were significantly associated with CHD (OR, 1.882; 95% CI, 1.369-2.587, p=0.000).The area under the receiver operating characteristic curve for Lp-PLA2 was 0.589 (95%CI, 0.549-0.629, p=0.000).The synergism between Lp-PLA2 and other risk factors was also investigated. The proportion of CHD attributable to the interaction between Lp-PLA2 and age was as high as 64%. Conclusions: Lp-PLA2 levels in human plasma were positively associated with the severity of CHD, and there was a clear positive interaction between Lp-PLA2 and classical risk factors in predicting CHD.
Background: Rs4977574 (A > G) and Rs1333045 (C > T) are both single nucleotide polymorphisms (SNPs) related with coronary artery disease, locating on chromosome 9p21.3. The study aimed to identify the correlation between rs4977574 and rs1333045 polymorphism genotypes and coronary heart disease (CHD) in a Chinese population. Methods: Blood samples were collected from 855 subjects. A case-control study was used in this experiment, and 598 cases in the CHD group and 257 subjects in the control group were enrolled. Genotyping was identified by the Agena MassARRAY system. Statistical analysis was conducted by SPSS (Ver 16.0) and plink (Ver. 1.07, Shaun Purcell). Haplotype analysis was performed using Haploview software. Results: Association analysis by plink indicated a significant difference in the allele distribution for single nucleotide polymorphisms between cases and controls (rs4977574 P = 0.003, rs1333045 P = 0.035). Fisher's exact test by plink proved that allele G may be associated with a higher risk of CHD (P = 0.003, odds ratio (OR) = 1.371) and the T allele was likely to reduce the risk of coronary events (P = 0.035, OR = 0.798). The serum levels of apolipoprotein A (ApoA) were higher in subjects with the AG + AA genotype of rs4977574 compared to those with the GG genotype (P = 0.028). In the dominant model of rs1333045, the levels of ApoA were higher and LDL levels were lower in the TC + TT genotype than in the CC genotype. Conclusions: The present study examined the association between the 9p21 chromosome rs4977574 and rs1333045 polymorphism genotypes and CHD in a population of Chinese patients. The G allele of rs4977574 and the C allele of rs1333045 are the susceptibility sites of CHD.
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