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Enregistrement W7110214656 · doi:10.64898/2025.12.03.25341486

Changes in the Genital Microbiome and Inflammation Among Women Using 30-Day <i>L. Rhamnosus/L. Reuteri</i> Probiotic in Combination with Intravaginal Estradiol: Findings from a Pilot, Open-Label, Phase I Clinical Trial

2025· article· W7110214656 sur OpenAlexafffund

Notice bibliographique

RevuemedRxiv · 2025
Typearticle
Langue
DomaineImmunology and Microbiology
ThématiqueReproductive tract infections research
Établissements canadiensMcMaster UniversityUniversity of TorontoUniversity Health NetworkLawson Health Research InstituteWestern UniversityWomen's Health In Women's HandsMcMaster University Medical CentreUniversity of British Columbia
Organismes subventionnairesHealth CanadaAlliance de recherche numérique du Canada
Mots-clésBacterial vaginosisProbioticMicrobiomeVaginaSex organLactobacillusVaginal disease

Résumé

récupéré en direct d'OpenAlex

Abstract A dysbiotic genital microbiome can cause inflammation, higher sexually transmitted infection risk, and long-term effects even when asymptomatic. Probiotic Lactobacillus species can potentially improve the genital microbial environment, especially among women with bacterial vaginosis (BV). Further, the hormone estradiol has been linked to mucosal health and better Lactobacillus colonization. We evaluated the impact of intravaginal estradiol, with/without use of Lacticaseibacillus rhamnosus GR-1 and Limosilactobacillus reuteri RC-14, administered vaginally or orally, on the genital microbiome and inflammation. Through this pilot Phase I, randomized, open-label trial, fifty premenopausal African, Caribbean, and Black women, were randomized to four study arms: intravaginal estradiol (Estring©; 7.5mg/day); vaginal probiotic (RepHresh Pro-B™) twice daily; combination of Estring© and vaginal RepHresh Pro-B™ (twice daily); or the Estring© and oral RepHresh Pro-B™ (twice daily), for 30 days. Baseline BV status was determined by Nugent scoring. The genital microbial composition was measured by 16S rRNA gene sequencing, and inflammation using a 48-plex Luminex cytokine assay. By mid-intervention, probiotic Lactobacillus taxa were detected in the genital tract in the vaginal probiotic only (p<0.01) and vaginal probiotic + Estring arms (p=0.03), but not with oral administration, although abundances returned to baseline levels post-treatment. 51.3% of participants experienced an overall positive shift in microbial composition by end-of-treatment. At follow-up, despite the decrease in probiotic species abundances, total Lactobacillus abundance, mostly L. iners , remained higher compared to pre-treatment (68.9% vs 60.9%), with lower overall alpha diversity (p=0.04). Further, this change was accompanied by a consistent decrease in inflammation from baseline to end-of-intervention (p=0.04), and 7 days post-treatment (p=0.05), significantly so at all visits among those with an overall positive microbial shift (all p<0.05). Overall, our findings demonstrate that microbiome-targeted interventions have the capacity to positively modulate the genital microbial and inflammatory milieu, with factors such as the route of administration playing a key role. Panel: Research in context Evidence before this study The vaginal microbiome is a critical determinant of reproductive health and HIV susceptibility. Bacterial vaginosis (BV) is a genital condition characterized by the depletion of protective Lactobacillus species and an overabundance of dysbiotic anaerobes, which leads to high inflammation levels and increased risk of sexually transmitted infection acquisition. Treating with antibiotics, which is the standard of care for BV, leads to recurrence rates exceeding 50% within a year. Promising studies assessing the effectiveness of live probiotics have been shown in some studies to decrease BV recurrence rates, but have yielded inconsistent results, especially with oral delivery. Additionally, low-dose intravaginal estrogen was found to enhance Lactobacillus dominance in postmenopausal women. However, its combined effect with probiotics in premenopausal women, including among African, Caribbean, and Black (ACB) women who are disproportionately affected by BV and HIV, remains poorly understood. Added value of this study This randomized, open-label, phase I trial was, to our knowledge, the first to compare oral versus vaginal delivery of L. rhamnosus GR-1 and L. reuteri RC-14, with or without intravaginal estrogen, among premenopausal ACB women. Vaginally-administered probiotics were successfully detected in the vaginal tract, albeit temporarily, led to increased Lactobacillus abundance, reduced BV-associated anaerobes abundance, and decreased overall genital inflammation levels. Importantly, these shifts in microbial composition, including an increase in Lactobacillus spp. abundance persisted beyond treatment with vaginal probiotic use. Implications of all the available evidence Our findings suggest that vaginal probiotic use with/without estrogen can support the establishment of a more optimal vaginal microbiome and reduce inflammation - two factors central to genital health and HIV prevention. Route of administration was key to detection of the probiotic taxa in the genital tract. Larger studies are needed to determine the longer-term impact of these microbial and immune improvements on BV recurrence and risk of sexually transmitted infection acquisition.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,075
Tête enseignante GPT0,379
Écart entre enseignants0,305 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai non randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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