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Diversity of vaginal microbiome and metabolome during genital infections Original paper

Researched by:

  • Dr. Umar ID
    Dr. Umar

    User avatarClinical Pharmacist and Clinical Pharmacy Master’s candidate focused on antibiotic stewardship, AI-driven pharmacy practice, and research that strengthens safe and effective medication use. Experience spans digital health research with Bloomsbury Health (London), pharmacovigilance in patient support programs, and behavioral approaches to mental health care. Published work includes studies on antibiotic use and awareness, AI applications in medicine, postpartum depression management, and patient safety reporting. Developer of an AI-based clinical decision support system designed to enhance antimicrobial stewardship and optimize therapeutic outcomes.

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November 20, 2025

Researched by:

  • Dr. Umar ID
    Dr. Umar

    User avatarClinical Pharmacist and Clinical Pharmacy Master’s candidate focused on antibiotic stewardship, AI-driven pharmacy practice, and research that strengthens safe and effective medication use. Experience spans digital health research with Bloomsbury Health (London), pharmacovigilance in patient support programs, and behavioral approaches to mental health care. Published work includes studies on antibiotic use and awareness, AI applications in medicine, postpartum depression management, and patient safety reporting. Developer of an AI-based clinical decision support system designed to enhance antimicrobial stewardship and optimize therapeutic outcomes.

    Read More

Last Updated: 2019-01-01

Microbiome Signatures identifies and validates condition-specific microbiome shifts and interventions to accelerate clinical translation. Our multidisciplinary team supports clinicians, researchers, and innovators in turning microbiome science into actionable medicine.

Karen Pendergrass

Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease—four years before the first published case study.

Location
Italy
Sample Site
Vagina
Species
Homo sapiens

What was studied?

This original research article investigated vaginal microbiome and metabolome signatures across four clinical states—healthy controls, bacterial vaginosis, vulvovaginal candidiasis, and Chlamydia trachomatis infection—to define how microbial communities and metabolites shift during common genital infections. Using 16S rRNA sequencing and proton NMR spectroscopy, the authors evaluated how loss of Lactobacillus dominance, emergence of anaerobic taxa, and altered metabolic pathways contribute to dysbiosis. The study mapped both taxonomic and metabolic fingerprints, highlighting condition-specific microbial patterns such as the transition from Lactobacillus crispatus dominance to Lactobacillus iners prevalence and increased representation of Gardnerella, Prevotella, Megasphaera, Roseburia, and Atopobium. Integration of microbial and metabolic datasets revealed correlations between particular taxa and metabolites, providing a combined ecological view of vaginal health and disease.

Who was studied?

The study included 79 reproductive-aged women enrolled at an STI clinic in Italy. Participants were classified into four groups: healthy controls (n=21), women with bacterial vaginosis (n=20), women with Chlamydia trachomatis infection (n=20), and women with vulvovaginal candidiasis caused by Candida albicans (n=18). Clinical criteria such as Amsel scoring, Nugent grading, PCR confirmation of C. trachomatis, and culture-based identification of Candida species ensured accurate diagnostic categorization. Most Chlamydia-positive women were asymptomatic, reflecting typical epidemiologic patterns. The groups did not differ significantly in age or BMI, allowing clearer interpretation of microbiome and metabolome differences as linked to infection status rather than confounding demographics.

Most important findings

Across all infection groups, the vaginal microbiota shifted from L. crispatus-dominant communities toward L. iners-dominated states, which are less protective and more permissive to dysbiosis. Healthy participants showed high L. crispatus abundance, whereas women with bacterial vaginosis displayed profound depletion of Lactobacillus alongside marked increases in anaerobes including Gardnerella, Prevotella, Atopobium, Megasphaera and Sneathia. Candida infection produced a signature similar to BV, including elevated Gardnerella and Prevotella, and increased Faecalibacterium and Roseburia—taxa typical of the gut, suggesting translocation or ecological disruption. Chlamydia infection showed a moderate shift, featuring elevated Megasphaera, Atopobium and Faecalibacterium. At the metabolome level, lactate concentrations dropped sharply in all pathological groups, mirroring Lactobacillus loss. Short-chain fatty acids, biogenic amines and organic acids increased, especially in BV. VVC samples uniquely displayed elevated vaginal glucose, supporting Candida overgrowth. Strong correlations linked Lactobacillus abundance with lactate and amino acids, while anaerobic taxa correlated with acetate, formate, propionate and putrescine, all indicators of dysbiosis.

Key implications

The study demonstrates that each genital infection produces a distinct but overlapping dysbiosis signature, emphasizing the clinical utility of combined microbiome–metabolome profiling. Loss of L. crispatus and expansion of anaerobic genera create biochemical environments conducive to pathogen persistence. Identifying condition-specific microbial and metabolic markers may enhance diagnostic accuracy, inform treatment strategies and support development of microbiome-targeted therapeutics or probiotics. These findings underscore the dynamic interplay between microbial community structure and metabolic function in regulating vaginal health.

Citation

Ceccarani C, Foschi C, Parolin C, et al. Diversity of vaginal microbiome and metabolome during genital infections.Scientific Reports. 2019;9:14095. doi:10.1038/s41598-019-50410-x

Bacterial Vaginosis

Bacterial vaginosis (BV) is caused by an imbalance in the vaginal microbiota, where the typically dominant Lactobacillus species are significantly reduced, leading to an overgrowth of anaerobic and facultative bacteria.

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