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Objective:To study the expression of microRNA-33a (miRNA-33a or miR-33a) and miR-33b in patients with hyperlipidemia, and to explore its correlation with blood lipid indexes.Methods:Thirty patients with hyperlipidemia were included as the observation group, and 30 healthy people were included as the control group. The venous blood of the subjects in the observation group and the control group was collected, and the automatic biochemical analyzer was used to detect serum biochemical indicators, including: low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), blood glucose (GLU), and total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (ApoA1) and apolipoprotein B (ApoB). Real-time quantitative polymerase chain reaction (qPCR) was used to detect serum miR-33a and miR-33b expression in all subjects.Results:Serum LDL-C, TG, and TC of the observation group are significantly higher and HDL-C was significantly lower than those of the control group, the differences were statistically significant (all P<0.05). The relative expression levels of miR-33a and miR-33b in the observation group are significantly higher than those in the control group (all P<0.05). The expression of miR-33a and miR-33b is positively correlated with the levels of LDL-C, TG, TC, and ApoB, and negatively correlated with HDL (all P<0.05). The factors affecting the expression of miR-33a and miR-33b are TG, TC and LDL-C. Conclusions:The expression of miR-33 is increased with hyperlipidemia, and it has a certain correlation with LDL-C, TG, TC, and ApoB.
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With the rapid development of medical technology , the precision medicine appears .The accurate analysis of the genetic mutations provides the accuracy of diseasesis prediction diagnosis and targeted therapy.Alzheimer′s disease and Parkinson′s disease are two of the most common neurodegenerative diseases.