Predictive Effects of Circulating miR-221, miR-130a and miR-155 for Coronary Heart Disease: A Multi-Ethnic Study in China

Qiao-Wei Jia, Zhao-Hong Chen, Xiao-Qing Ding, Jie-Yin Liu, Peng-Cheng Ge, Feng-Hui An, Li-Hua Li, Lian-Sheng Wang, Wen-Zhu Ma, Zhi-Jian Yang, En-Zhi Jia
2017 Cellular Physiology and Biochemistry  
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
more » ... iRNAs. 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. Q. Jia and F. An contribued to the work equally. Table 10 . Multivariate logistic regression analysis for the predictors of CHD prevalence. CHD, coronary heart disease; CK-MB, MB isoenzyme of creatine kinase; HDL-C, fasting high-density lipoprotein cholesterol;FBG, fasting blood glucose. The value of each miRNA means the relative amount calculated by 2 -Δct method Table 11 . The relationship between miR-221, miR-155, and miR-130a. SI, synergy index for interaction in an additive model; SI, SI, synergy index for interaction in a multiplicative model; RERI, relative excess risk due to interaction; AP, proportion of disease attributable to interaction Cell Physiol Biochem 2017;42:808-823
doi:10.1159/000478071 pmid:28628920 fatcat:ebli2zmoyrbmpbvrxiue6lb2ii