Microbial signatures in follicular fluid and their association with fertilization success

Background: Emerging evidence suggests that the upper female reproductive tract is not sterile and that microbial signals within follicular fluid (FF) may influence oocyte competence. However, previous studies have largely relied on pooled FF samples or dominant follicles, limiting insight into follicle-specific associations with fertilization outcomes. Methods: In this exploratory paired study, follicular fluid samples were collected from 24 women undergoing IVF/ICSI treatment. For each patient, two FF samples were analyzed individually: one associated with a fertilized oocyte, and one associated with an oocyte that failed fertilization. Bacterial DNA and total bacterial load (TBL) were assessed using quantitative real-time PCR targeting predefined microbial taxa. Results: spp., were more frequently detected in FF samples associated with failed fertilization; however, no individual taxon showed a consistent association with outcome across all samples. Conclusion: In this paired follicle-level analysis, the absence of detectable bacterial DNA in follicular fluid was associated with fertilization outcome. These findings highlight follicle-level heterogeneity in microbial DNA detection and underscore the importance of follicle-specific analyses in reproductive microbiome research. Larger prospective studies are required to validate these observations and to clarify the biological mechanisms underlying follicular microbial signals.

Authors

Institutions

Publication Details

Journal
Frontiers in Reproductive Health
Published
2026-04-15
DOI
https://doi.org/10.3389/frph.2026.1773092
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microbial signatures in follicular fluid and their association with fertilization success

Manfred Koranda, Ekaterina Voroshilina, Jennifer Blauensteiner, Gregor Weiss et al.
Frontiers in Reproductive Health
Ovarian function and disorders
article

Microbial signatures in follicular fluid and their association with fertilization success

Manfred Koranda, Ekaterina Voroshilina, Jennifer Blauensteiner, Gregor Weiss, Michael Schenk
article en

Abstract

Background: Emerging evidence suggests that the upper female reproductive tract is not sterile and that microbial signals within follicular fluid (FF) may influence oocyte competence. However, previous studies have largely relied on pooled FF samples or dominant follicles, limiting insight into follicle-specific associations with fertilization outcomes. Methods: In this exploratory paired study, follicular fluid samples were collected from 24 women undergoing IVF/ICSI treatment. For each patient, two FF samples were analyzed individually: one associated with a fertilized oocyte, and one associated with an oocyte that failed fertilization. Bacterial DNA and total bacterial load (TBL) were assessed using quantitative real-time PCR targeting predefined microbial taxa. Results: spp., were more frequently detected in FF samples associated with failed fertilization; however, no individual taxon showed a consistent association with outcome across all samples. Conclusion: In this paired follicle-level analysis, the absence of detectable bacterial DNA in follicular fluid was associated with fertilization outcome. These findings highlight follicle-level heterogeneity in microbial DNA detection and underscore the importance of follicle-specific analyses in reproductive microbiome research. Larger prospective studies are required to validate these observations and to clarify the biological mechanisms underlying follicular microbial signals.

Frontiers in Reproductive HealthVol. 8
Medical University of Graz (AT), DXC Technology (United States) (US)
Gender equality
Openalex Percentile: Top 21%
Ovarian function and disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.