Lactobacillus iners and gasseri, prevotella bivia and hpv belong to the microbiological signature negatively affecting human reproduction

Research output: Contribution to journalArticlepeer-review

Abstract

Infertile couples undergoing the use of assisted reproductive technology are a good study model to evaluate the microbiological signatures affecting reproductive health. We tested vaginal lavages, follicular fluids, embryo culture mediums, and seminal fluids from 47 couples for their microbiome composition and HPV infection. Twenty-five infertile couples were diagnosed with unexplained infertility, whereas 22 were diagnosed with explained infertility. Lactobacilli were dominant in the vaginal lavages of both patient groups, and the most abundant species was L. iners (CST III), which is linked to a decreased fertility rate. Besides this, L. gasseri—which is known to be associated with oocyte DNA fragmentation and decreased sperm mobility—was identified in the seminal fluids, follicular fluids, and embryo culture media of the unexplained infertility group. Prevotella was increased in the seminal fluids of the explained infertility group, along with HPV-positive seminal fluids: an infection commonly associated with infertility, especially male infertility. Prevotella has been described to negatively affect sperm motility. Taken together, these results suggest that the profiling of the reproductive tract microbiome can add new perspectives to human reproduction.

Original languageEnglish
Article number39
Pages (from-to)1-12
Number of pages12
JournalMicroorganisms
Volume9
Issue number1
DOIs
Publication statusPublished - Jan 2021

Keywords

  • Assisted reproduction
  • Bacteriome
  • Infertility
  • Microbiome
  • Virome

ASJC Scopus subject areas

  • Microbiology
  • Virology
  • Microbiology (medical)

Fingerprint Dive into the research topics of 'Lactobacillus iners and gasseri, prevotella bivia and hpv belong to the microbiological signature negatively affecting human reproduction'. Together they form a unique fingerprint.

Cite this