Using MiRNA As Molecular Targets For Diagnosis Of Depression

Depression,also known as depressive disorder,is a major type of mood disorder,characterized by significant and persistent depression.There are more than 95 million people who are suffered from depressive disorder in China,and the lifetime prevalence rate of depression is 6.9%,bringing serious impact on people's life and work.In recent years,more and more attention has been paid to the research of targets related to depression,including non-coding microRNAs(miRNAs).miRNA is a class of endogenous single-stranded non-coding rnas with a length of about 19-25 nucleotides.Studies have shown that the expression levels of some mirnas are closely related to the pathogenesis and treatment of depression.This study investigated the feasibility of miRNA as a molecular diagnostic for depression,and total RNA was extracted from the collected blood samples,and quantitative detection and data analysis were conducted through real-time fluorescence quantitative PCR experiment.It was found that the selected miRNAs were differentially expressed in patients with depression and normal people,and the expression level of patients was higher than that of normal people.After expanding the number of experimental samples,Through the statistical analysis of 87 SDS self-rating scale scores,we found that there were gender and age differences in the number of patients with major depressive disorder.Women are more likely than men to have major depressive disorder,and people aged 18-24 are more likely than other age groups to have major depressive disorder.Finally,miR-19a-3p,miR-92a-1-5p,miR-92a-2-5p and miR-92b-5p were determined as diagnostic molecules of depression using real-time fluorescent quantitative PCR,and the R language package "neuralnet" is used as an auxiliary prediction method,which are expected to be clinically applied to provide early screening for patients with high risk of depression and provide them with a new objective and reliable molecular diagnostic pathway.