Composition containing intravaginal microorganisms
A technology of microorganisms and compositions, which is applied in the field of compositions containing vaginal microorganisms, and can solve problems such as female vaginal microflora that have not been reported yet
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Embodiment 1
[0070] Example 1. Research subjects and sample collection
[0071] For the present invention, endocervix samples were collected by brush from 542 female identical tweens sand fraternal twins and their families in the tween cohorts in Korea and frozen at -80°C. state storage. Transfer cryopreserved samples to the laboratory and use a kit to extract genomic DNA.
Embodiment 2
[0072] Example 2. Using 16S rRNA to analyze the vaginal microbial community
[0073] Genomic DNA extracted from Example 1 was amplified using the 515F / 806R primers (SEQ ID NO: 1 and 2) shown in Table 1, targeting the V4 region of the bacteria, and then the nucleotide sequence was obtained using Illumina's MiSeq instrument data.
[0074] [Table 2]
[0075]
[0076] By utilizing the QIIME pipeline, nucleotide sequence data were analyzed to determine genetic information and vaginal microbiome structure, and then to observe the relationship of the vaginal microbiome to various markers of women's health.
[0077] Vaginal microbiota information obtained by 16S rRNA-based analysis confirmed changes in vaginal microbiota according to menopausal status, vaginitis, cervicitis, cervical cancer, and obesity. The results are shown in figure 1 middle. As a result of analyzing factor associations, it was confirmed that the clinical indicators that can significantly change the structur...
Embodiment 3
[0079] Example 3, Analysis of the Correlation Between Vaginal Microflora and Female Genital Diseases or Obesity
[0080] The results of multivariate analysis using MaAsLin software, which can control for confounding variables, clarified female genital disorders or obesity, etc., identified by vaginal bacteria.
[0081] Using MaAsLin software, twin and family relationship were assigned as random variables and other health factors as calibration variables, and the correlation between each health factor and vaginal microbiota was analyzed. The results are shown in Figures 4 to 8 middle.
[0082] From Figure 4 , 5 As can be seen in and 8, Prevotella spp. was found to be most associated with female genital disorders, especially menopause, vaginitis and cervical cancer. In the case of obesity, P. copri, a species of Prevotella spp., was found to be the second highest correlate of obesity ( Figure 6 ).
[0083] In addition to postmenopausal status, vaginitis infection, and o...
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