Journal of International Reproductive Health/Family Planning ›› 2022, Vol. 41 ›› Issue (3): 184-188.doi: 10.12280/gjszjk.20220143

• Original Article • Previous Articles     Next Articles

Characteristics of Vaginal Flora in Patients with Recurrent Spontaneous Abortion

CHENG Yang, ZHAO Min()   

  1. Shanxi Medical University, Taiyuan 030000, China (CHENG Yang); Department of Obstetrics and Gynecology, Shanxi Women′s and Children′s Health Center, Taiyuan 030000, China (ZHAO Min)
  • Received:2022-03-18 Published:2022-05-15 Online:2022-05-30
  • Contact: ZHAO Min E-mail:minzhao22@163.com

Abstract:

Objective: To analyze the characteristics of vaginal flora in patients with recurrent spontaneous abortion (RSA). Methods: The vaginal secretions of 20 patients with unexplained RSA (RSA group) and 20 women with normal early pregnancy abortion (control group) from December 2020 to September 2021 were collected. The vaginal flora of vaginal secretions were analyzed by 16S rRNA high-throughput sequencing technology. Results: The α diversity analysis showed that there were no significant differences in the Chao1 index, Shannon index, and Observed_OTU index between the two groups (all P>0.05). The β diversity analysis showed the significant difference in the vaginal bacterial community structure between the two groups (P<0.05). Taxonomic analysis showed that the common dominant bacteria at the gate, family and genus levels were Pseudomonas (Proteobacteria) in the two groups, and that the abundance of Pseudomonas in the RSA group at the gate, family and genus levels was 22.8%, 21.9%, and 21.9%, while the abundance of Pseudomonas in the control group was 17.9%, 17.3% and 17.3%, respectively. The abundance of Pseudomonas in the RSA group was increased significantly than that in the control group. Conclusions: Patients with RSA have vaginal flora imbalance, and the specific bacteria (such as Pseudomonas) may be related with the occurrence and development of RSA.

Key words: Abortion,habitual, Vagina, High-throughput nucleotide sequencing, Vaginal flora, High throughput sequencing