Related Experiment Video
Updated: Aug 5, 2026
08:15
Modeling Healthy and Dysbiotic Vaginal Microenvironments in a Human Vagina-on-a-Chip
Published on: February 16, 2024
Rethinking Vaginal Microbiome Resilience: A Conceptual Multi-Omic Framework
Brittnee Cagle-White1, Rob E Carpenter2,3, Alaina Vincent3
1School of Medicine, The University of Texas at Tyler, 3900 University Boulevard, Tyler, TX 75799, USA.
Microorganisms
|July 28, 2026
Summary
Vaginal microbiome stability depends on more than just bacteria; it is influenced by hormones, epithelial cells, and microbial functions. Understanding these factors is key to predicting microbiome health and resilience.
Area of Science:
- Reproductive Biology
- Microbiology
- Host-Microbiome Interactions
Background:
- Vaginal microbiome research often focuses on static bacterial composition, overlooking factors influencing community stability and transitions to dysbiosis.
- Microbial composition alone does not explain resilience, recovery, or susceptibility to dysbiosis in the vaginal environment.
Purpose of the Study:
- To synthesize evidence on factors shaping vaginal microbiome stability beyond taxonomic patterns.
- To propose a conceptual framework integrating endocrine, epithelial, microbial, and host factors influencing vaginal microbiome resilience.
Main Methods:
- This narrative review synthesizes existing scientific literature.
- It focuses on the interplay between endocrine status, epithelial substrate, microbial function, and host modifiers.
- The review examines the estrogen-glycogen-Lactobacillus axis and associated microbial functions.
Main Results:
- Vaginal microbiome stability is influenced by endocrine phase, epithelial support, microbial function, and host factors.
- High-estrogen states (e.g., pregnancy) promote Lactobacillus-dominant communities via the estrogen-glycogen-Lactobacillus axis.
- Hypoestrogenic states increase vulnerability to diverse, anaerobe-rich microbial configurations.
Conclusions:
- Vaginal microbiome resilience is a complex interplay of multiple factors, not solely determined by bacterial species.
- A multi-omic hierarchy is proposed to organize these domains for future research.
- Further longitudinal, phase-resolved human studies are needed for clinical applications and quantitative prediction.
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