基于microRNA表达量及判别分析的外周血与月经血鉴别

Identification of Peripheral Blood and Menstrual Blood Based on the Expression Level of MicroRNAs and Discriminant Analysis

目的根据2种血液类体液(外周血和月经血)和3种非血液类体液(唾液、精液、阴道分泌液)中多种微RNA(microRNA,miRNA)差异表达的特征构建判别分析模型,形成外周血与月经血的鉴别方案。方法从文献中筛选出6种miRNA(miR-451a、miR-144-3p、miR-144-5p、miR-214-3p、miR-203-3p和miR-205-5p),收集5种法医学常见体液样本(外周血、月经血、唾液、精液和阴道分泌液),并将样本划分为训练集及测试集,采用SYBR Green荧光实时定量PCR技术检测,基于训练集的表达量数据构建判别分析模型,另外采用测试集的表达量数据检验该模型的准确度。结果成功构建了可同时区分血液与非血液类样本以及区分外周血与月经血样本的判别分析统计模型,模型的鉴别准确率达99%以上。结论本研究为外周血和月经血样本的法医学体液鉴别提供了科学准确的鉴别策略,有望在法医学实践中应用。

Objective To construct a discriminant analysis model based on the differential expression of multiple microRNAs(miRNAs)in two kinds of blood samples(peripheral blood and menstrual blood)and three non-blood samples(saliva,semen and vaginal secretion),to form an identification solution for peripheral blood and menstrual blood.Methods Six kinds of miRNA(miR-451a,miR-144-3p,miR-144-5p,miR-214-3p,miR-203-3p and miR-205-5p)were selected from literature,the samples of five kinds of body fluids commonly seen in forensic practice(peripheral blood,menstrual blood,saliva,semen,vaginal secretion)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%.Con⁃clusion 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.