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Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-955378

RESUMO

Objective:To investigate the correlation between plasma microRNA (miR)-122, miR-33a and the severity of coronary artery disease in patients with type 2 diabetes mellitus (T2DM) and coronary heart disease.Methods:The clinical data of 196 patients with T2DM from January 2019 to October 2021 in Xuzhou First People′s Hospital were retrospectively analyzed. Among them, 81 cases were complicated with coronary heart disease (combined group), 115 cases were not complicated with coronary heart disease (control group). The plasma levels of miR-122 and miR-33a were detected by real-time fluorescence quantitative reverse transcription polymerase chain reaction, the plasma level of N-terminal B-type natriuretic peptide precursor (NT-proBNP) was detected by enzyme-linked immunosorbent assay. In combined group, the number of coronary artery lesions was determined according to the results of coronary angiography, and Gensini score was evaluated. Linear regression model was used to analyze the relationship between plasma miR-122, miR-33a and NT-proBNP levels with the incidence of coronary heart disease in patients with T2DM. Receiver operating characteristic (ROC) curve was used to analyze the plasma miR-122 and miR-33a in predicting efficiency of coronary heart disease in patients with T2DM. In combined group, Spearman correlation method was used to analyze the relationship between plasma miR-122, miR-33a and the number of coronary artery lesions, and Pearson correlation method was used to analyze the relationship between plasma miR-122, miR-33a and plasma NT proBNP, Gensini score.Results:The plasma miR-122, miR-33a and NT-proBNP in combined group were significantly higher than those in control group: 5.76 ± 1.35 vs. 1.18 ± 0.33, 1.39 ± 0.37 vs. 0.65 ± 0.11 and (786.87 ± 156.39) ng/L vs. (103.45 ± 19.27) ng/L respectively, and there were statistical differences ( P<0.01). Linear regression result showed that plasma miR-122, miR-33a, and NT-proBNP were positive correlation with occurrence of coronary heart disease in patients with T2DM ( P<0.01); ROC curve analysis result showed that the area under curve of plasma miR-122, miR-33a and combination in predicting coronary heart disease in patients with T2DM were 0.816, 0.845 and 0.912 respectively (95% CI 0.744 to 0.865, 0.768 to 0.892 and 0.836 to 0.967). Coronary angiography result showed that there were 46 cases of single vessel lesions, 25 cases of double vessel lesions and 10 cases of three vessel lesions. The plasma miR-122, miR-33a, NT-proBNP and Gensini score in patients with three vessel lesions were significantly higher than those in patients with double vessel lesions and patients with single vessel lesions: 6.52 ± 0.96 vs. 4.95 ± 0.85 and 3.74 ± 0.52, 1.45 ± 0.31 vs. 1.06 ± 0.25 and 0.81 ± 0.13, (829.78 ± 62.59) ng/L vs. (627.48 ± 47.12) and (502.64 ± 38.24) ng/L, (63.89 ± 12.71) scores vs. (42.18 ± 6.03) and (22.36 ± 2.41) scores, the indexes in patients with double vessel lesions were significantly higher than those in patients with single vessel lesions, and there were statistical differences ( P<0.05). In combined group, Spearman correlation analysis result showed that the plasma miR-122 and miR-33a were positive correlation with the number of coronary artery lesions ( r = 0.879 and 0.825, P<0.05); Pearson correlation analysis result showed that the plasma miR-122 and miR-33a were positive correlation with the plasma NT-proBNP and Gensini score (miR-122: r = 0.896 and 0.788, miR-33a: r = 0.871 and 0.765; P<0.05). Conclusions:The plasma levels of miR-122 and miR-33a are related to the occurrence of coronary heart disease and severity of coronary artery disease in patients with T2DM, which may be used to guide the prevention and treatment of coronary heart disease in patients with T2DM.

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