P-293 Influence of the endometrial microbiota composition on the clinical outcomes of egg donation PGT-A cycles with controlled endometrial receptivity
Authors: Enciso M , Medina-Ruiz L , Ferrández-Rives M , Jurado-García I , Rogel-Cayetano S , Aizpurua J , Sarasa J 
Published: July 2024

Abstract

Study question
Does the endometrial microbiota composition and diversity influence embryo implantation and pregnancy evolution in assisted reproduction treatment (ART) cycles?

Summary answer
Endometrial microbiota composition influences ART success. Detection of endometrial pathogens is associated with poor outcomes whereas sterile endometria show the highest pregnancy and live-birth rates

What is known already
The endometrial microbiota has emerged as a possible influencing factor in the results of ART. Recent research suggests its impact on female reproductive health, particularly in patients with chronic endometritis (CE), where the presence of microbial pathogens associated with this condition has been linked to infertility. In turn, the bioregulatory role of species of Lactobacillus in this tissue has been explored, although its essentiality or benefit for female reproductive function continues to be topics of debate.

Study design, size, duration
This is a case-control retrospective study analysing for the first time the influence of the endometrial microbiota composition on the clinical outcomes of 220 women undergoing egg donation cycles with Preimplantation Genetic Testing for Aneuploidy (PGT-A) and controlled endometrial receptivity between March 2016 and April 2021 in IVF-Life Alicante (Spain). ART results after the transfer of a single euploid blastocyst in the WOI of patients with different endometrial microbiota profiles were analysed and compared.

Participants/materials, setting, methods
Presence of 18 microbial CE pathogens and 4 Lactobacillus species was determined by high-throughput qPCR (MicrobioMap®, iGLS) in endometrial samples obtained during the WOI of a hormone replacement therapy cycle. In all cases, PGT-A by next generation sequencing (NGS) (EmbryoMap, Vitrolife) and study of endometrial receptivity by gene expression analysis (ER Map, iGLS) were performed. Clinical outcomes (β-hCG+, β+ and live birth, LB) in relation to the endometrial microbiota profile were analysed and compared.

Main results and the role of chance
In the study, 31.8% of patientś endometria were identified without microbial detection, 40% exclusively with Lactobacillus, 13.2% with pathogens only, and 15% with both. Clinical results revealed significant differences in β+ rates among the groups (p &lt; 0.05). The absence of microorganisms was associated with higher success rates (β + 72.9%), while the presence of pathogens significantly reduced pregnancy success (β + 41.4%). A similar trend was observed in LB rates, although it did not reach statistical significance (44.3% and 24.1%, respectively). The presence of Lactobacillus alongside pathogens improved clinical outcomes (β + 57.6% LB 48.5%). Interestingly, exclusive presence of Lactobacillus showed lower implantation rates than patients without microbial detection (β + 58%). These findings highlight the impact of microbial composition on the clinical outcomes of ART cycles, underlining the association between endometrial microbiota patterns and pregnancy success.

Limitations, reasons for caution
This study is constrained by its retrospective nature, emphasizing the need for further validation through randomized controlled trials, non-selection studies, or other investigative approaches to confirm the extent of any clinical benefits. Endometrial biopsies were obtained transcervically, while executed with utmost care, risk of contamination cannot be completely excluded.

Wider implications of the findings
The composition and diversity of the endometrial microbiota is key for ART success. A sterile endometrial environment offers optimal conditions for implantation and pregnancy. The study highlights the potential of Lactobacillus in counteracting the negative impact of pathogenic presence.

Trial registration number
not applicable