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.
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.