OBJECTIVES: To establish the menstrual blood identification model based on Naïve Bayes and multivariate logistic regression methods by using specific mRNA markers in menstrual blood detection technology combined with statistical methods, and to quantitatively distinguish menstrual blood from other body fluids. METHODS: Body fluids including 86 menstrual blood, 48 peripheral blood, 48 vaginal secretions, 24 semen and 24 saliva samples were collected. RNA of the samples was extracted and cDNA was obtained by reverse transcription. Five menstrual blood-specific markers including members of the matrix metalloproteinase (MMP) family MMP3, MMP7, MMP11, progestogens associated endometrial protein (PAEP) and stanniocalcin-1 (STC1) were amplified and analyzed by electrophoresis. The results were analyzed by Naïve Bayes and multivariate logistic regression. RESULTS: The accuracy of the classification model constructed was 88.37% by Naïve Bayes and 91.86% by multivariate logistic regression. In non-menstrual blood samples, the distinguishing accuracy of peripheral blood, saliva and semen was generally higher than 90%, while the distinguishing accuracy of vaginal secretions was lower, which were 16.67% and 33.33%, respectively. CONCLUSIONS The mRNA detection technology combined with statistical methods can be used to establish a classification and discrimination model for menstrual blood, which can distignuish the menstrual blood and other body fluids, and quantitative description of analysis results, which has a certain application value in body fluid stain identification.
Female ; Humans ; RNA, Messenger/metabolism* ; Bayes Theorem ; Logistic Models ; Menstruation ; Body Fluids ; Saliva ; Semen ; Forensic Genetics/methods*

OBJECTIVE: To explore the tissue-specific gene expressions of the peripheral blood and the menstrual blood, and to search some specific factors to establish an effective method for identifying the peripheral blood and the menstrual blood. METHODS: The specific products of the peripheral blood and the menstrual blood were detected by RT-PCR and separated by electrophoretic technology. RESULTS: Beta-spectrin (SPTB) as one specific marker of peripheral blood and 18S rRNA as a kind of the housekeeping gene were expressed in both the peripheral blood and the menstrual blood. However, matrix metalloproteinase 7 (MMP7) as one specific marker of menstrual blood and human beta defensin 1 (HBD1) as one specific marker of vaginal discharge were only found in the menstrual blood. CONCLUSION There are differences of specific gene expressions between the peripheral blood and the menstrual blood. They could be accurately distinguished from each other by using the combination of fluorescence technology and RT-PCR to detect the specific identification of mRNA.
Biomarkers ; Blood/metabolism* ; Female ; Gene Expression ; Gene Expression Profiling ; Humans ; Matrix Metalloproteinase 7/genetics* ; Menstruation/genetics* ; RNA, Messenger/genetics* ; Reverse Transcriptase Polymerase Chain Reaction ; beta-Defensins

OBJECTIVETo study the relationship between estrogen receptor beta gene (ER beta) polymorphism and unknown aetiology hypomenorrhea in Southwestern China .

METHODSOne hundred eumenorrhea women were chosen as control group and another 100 hypomenorrhea patients as case group from Southwestern China. Restriction fragment length polymorphism (RFLP) of the Rsa I and Alu I in ER beta gene was analysed. The ER beta gene polymorphism genotype distribution in case group and control group was compared.

RESULTSR allele frequency in case and control groups was 37.5% and 48.5% respectively, the OR was 0.64 (95%CI: 0.42-0.97), P= 0.026. A allele frequency in case and control groups was 18.0% and 11.5% respectively, the OR was 1.69 (95%CI: 0.93-3.09), P= 0.07. RFLP of Rsa I and Alu I in both groups were distributed with polymorphism.

CONCLUSIONERbeta gene polymorphism has a relation with unknown aetiological hypomenorrhea. R allele may be the guard factor, and A allele may be its risk factor.

Adult ; Binding Sites ; genetics ; Deoxyribonucleases, Type II Site-Specific ; metabolism ; Estrogen Receptor beta ; genetics ; Female ; Gene Frequency ; Genetic Predisposition to Disease ; genetics ; Genotype ; Humans ; Menstruation Disturbances ; etiology ; genetics ; Polymerase Chain Reaction ; Polymorphism, Genetic ; genetics ; Polymorphism, Restriction Fragment Length ; Young Adult

Menarche is a main indicator of sexual maturity which relates to a reproductive function. The onset of the menstrual cycle differs individually and is influenced by many variables such as socio-economic situation, race, genetics, climate, altitude, nutritional status, and physical growth. Among them physical growth has been known to be the most influencing factor, particularly when expressed as body fat designated by weight. This study intended to investigate the body composition of girls around the menarche period and to evaluate the minimal levels of weight and fat percentage needed for the onset of menarche. A total of 101 female subjects, aged 11 to 13 years, were recruited from the 5th and 6th grades of an elementary school, in Mokpo, Korea. The subjects were placed into one of two groups Pre-menarche and Post-menarche groups according to their experience with menarche. Thereafter, the subjects in the Post-group were placed into 4 subgroups based on the number of menstruations they experienced: Post-I (1 - 3 times), Post-II (4 - 6 times), Post-III (7 - 9 times), and Post-IV (> 10 times). The average age at the onset of menarche of the subjects in Post groups was 11.2 +/- 0.6 years. There were significant differences in the data of anthropometry and body composition between the Pre and Post groups, although the mean ages of both Pre and Post groups were the same. Weight, waist, hip and thigh girths, fat percentage, and lean body mass of the Post groups were significantly higher than those of the Pre group. Height was not significantly different between the groups. Weight was highly correlated with body fat mass (r = 0.92, p < 0.001), fat percentage (r = 0.85, p < 0.001), and body mass index (r = 0.91, p < 0.001). These results indicate that weight, compared with height, reflects body composition well and influences the onset of the menstrual cycle. It could also be suggested that the minimal weight and fat percentage needed for the onset of menarche in Korean females are 41 kg and 17% to 19%, respectively.
Adipose Tissue* ; Altitude ; Anthropometry ; Body Composition ; Body Mass Index ; Body Weight ; Climate ; Continental Population Groups ; Female ; Female* ; Genetics ; Hip ; Humans ; Jeollanam-do ; Korea ; Menarche* ; Menstrual Cycle ; Menstruation ; Nutritional Status ; Thigh