16S rRNA gene sequencing reveals altered composition of gut microbiota in patients with polycystic ovary syndrome.
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Polycystic ovary syndrome (PCOS) is one of the causes of endocrine disorders and infertility in women of childbearing age, which seriously affects women's health. The etiology of PCOS is still unknown, and metabolic abnormalities are the focus of current research. A large number of studies have shown that gut microbiota is related to metabolic abnormalities. This project intends to study the relationship between gut microbiota and PCOS and analyze the molecular mechanism of its impact on PCOS. The project is designed to conduct 16S rRNA sequencing and analysis using feces from patients with polycystic ovary syndrome. 48 samples were included in the study and divided into 3 groups (NOR, POS1, POS2), Venn diagram shows that there are 372 operational taxonomic units in total, and 96, 43 and 20 unique to the 3 groups respectively. PLS-DA analysis shows that there are significant differences among the 3 groups. Species abundance analysis shows that there are differences among the 3 groups at the level of class, family, genus, order, phylum and species. There are more lachnoanaerobcaulum and Klebsiella in POS1 group, and more enterococcaceae and enterococcu in POS2 group. The correlation analysis showed that Klebsiella and Lachnoanaerobaculum were positive associated with BMI, and LH level, respectively, and Enterococcus was negative correlated with the levels of LH and testosterone. This study can provide reference basis for clinical accurate and personalized dietary intervention and drug treatment of PCOS.