Expressions and Significance of miR-21 and miR-29a in Peripheral Blood of Patients with Coronary Heart Disease and Chronic Heart Failure
To study the expressions of peripheral blood microRNA(miR-21)and miR-29a in patients with coronary heart disease(CHD)complicated with chronic heart failure(CHF),and to provide reference for finding the effective biological markers,98 patients with CHD complicated with CHF(CHF group)and 94 patients with CHD but without CHF(CHD group)in the hospital from October 2019 to October 2022 were selected as samples.Baseline data of both groups were collected the next day after enrollment,and cardiac function was evaluated by ultrasound.The levels of serum amino-terminal pro-B-type natriuretic peptide(NT-proBNP),miR-21 and miR-29a were detected,and the influencing factors of CHF in patients with CHD were studied by binary Logistic regression analysis.Pearson product-moment coefficient was used to analyze the relationship between miR-21 and miR-29a and severity of heart failure in patients with CHD.Age,disease course,left ventricular end-diastolic diameter(LVEDD),left ventricular end-systolic diameter(LVESD),left ventricular posterior wall thickness(LVPWT),left ventricular mass index(LVMI)and serum levels of NT-proBNP,miR-21 and miR-29a in CHF group were significantly higher than those in CHD group(P<0.05),while the left ventricular ejection fraction(LVEF)was significantly lower than that in CHD group(P<0.05).Age,CHD course,miR-21 and miR-29a were independent influencing factors of heart failure in patients with CHD(P<0.05).Serum miR-21 and miR-29a levels in CHD com-plicated with CHF patients were significantly positively correlated with LVEDD,LVESD,LVPWT,LVMI and NT-proBNP(P<0.05),and were significantly negatively correlated with LVEF(P<0.05).The expression levels of serum miR-21 and miR-29a are significantly increased in patients with CHD complicated with CHF,and both levels are independent influencing factors of heart failure and are closely related to cardiac function and ventricular remodeling indicators.