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Center for Reproductive Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Jinan, Shandong, 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, 250012, China. Electronic address:
Published: June 2023
AI Article Synopsis
Article Abstract
Research Question: What are the different features of the vaginal microbiome (VMB) between patients with polycystic ovary syndrome (PCOS) and healthy women?
Design: A cross-sectional study was conducted at a single academic university-affiliated centre. A total of 1446 participants were recruited (PCOS group, n =713, control group, n = 733). Vaginal swabs were analysed using 16S rRNA gene sequencing. The diversity and composition of the microbiome were compared between the PCOS group and the control group. Microbial interaction networks and functional prediction were investigated.
Results: The PCOS group had a higher alpha diversity than the control group (Shannon P = 0.03, Simpson P = 0.02), and higher intra-group variability was observed in PCOS group (P < 2.2E-16). At the genus level, the proportion of Lactobacillus decreased (85.1% versus 89.3%, false discovery rate [FDR] = 0.02), whereas the proportion of Gardnerella vaginalis and Ureaplasma increased in the PCOS group (5.1% versus 3.3%, FDR = 0.006; 1.2% versus 0.6%, FDR = 0.002, respectively). Lactobacillus acidophilus, Prevotella buccalis and G. vaginalis were identified as the main differential species. L. acidophilus was positively correlated with serum levels of anti-Müllerian hormone (AMH), and triglyceride (P = 2.01E-05, P = 0.004, respectively). P. buccalis was negatively correlated with serum levels of AMH and testosterone (P = 0.002, P = 0.003, respectively). G. vaginalis was positively correlated with serum levels of AMH, oestradiol and progesterone (P = 0.004, P = 0.005, P = 0.03, respectively). The VMB interaction network indicated that Lactobacillus crispus, Prevotella timonensis, and P. buccalis could be key drivers in the PCOS group. Overall, 55 predicted genes were found to be differentially abundant between PCOS and the control (FDRs < 0.25).
Conclusions: The PCOS group had a higher diversity of vaginal microbiome and showed an enhanced level of heterogeneity. The proportion of Lactobacillus in the PCOS group decreased, whereas the proportions of Gardnerella and Ureaplasma increased. These results warrant further research that can validate the correlation between PCOS and VMB.
