ABSTRACT
ABSTRACT: Objective To construct a discriminant analysis model based on the differential expression of multiple microRNAs ï¼miRNAsï¼ in two kinds of blood samples ï¼peripheral blood and menstrual bloodï¼ and three non-blood samples ï¼saliva, semen and vaginal secretionï¼, to form an identification solution for peripheral blood and menstrual blood. Methods Six kinds of miRNA ï¼miR-451a, miR-144-3p, miR-144-5p, miR-214-3p, miR-203-3p and miR-205-5pï¼ were selected from literature, the samples of five kinds of body fluids commonly seen in forensic practice ï¼peripheral blood, menstrual blood, saliva, semen, vaginal secretionï¼ were collected, then the samples were divided into training set and testing set and detected by SYBR Green real-time qPCR. A discriminant analysis model was set up based on the expression data of training set and the expression data of testing set was used to examine the accuracy of the model. Results A discriminant analysis statistical model that could distinguish blood samples from non-blood samples and distinguish peripheral blood samples from menstrual blood samples at the same time was successfully constructed. The identification accuracy of the model was over 99%. Conclusion This study provides a scientific and accurate identification strategy for forensic fluid identification of peripheral blood and menstrual blood samples and could be used in forensic practice.