Postbiotic Intervention on Vaginal Microbiota
To Investigate the Effect of Postbiotic Intervention on Vaginal Microbiota in Infertile Women
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Background The demand for infertility treatment is increasing, with approximately 10-15% of couples of reproductive age experiencing varying degrees of fertility issues. Vaginal microbiota dysbiosis may be a significant factor contributing to infertility, and a healthy vaginal microbiota environment plays a crucial role in embryo implantation. This study aims to investigate the effects of postbiotic intervention on the vaginal microbiota of infertile patients by analyzing the vaginal microbiota before and after bacteriocin treatment to evaluate its effectiveness in improving the vaginal microbial environment.
Objective This study aims to investigate changes in vaginal microbiota before and after the use of postbiotic intervention.
Methods This study employs a pre-post test design, planning to enroll 15 women aged 30-45 years diagnosed with infertility with at least two IVF treatment failure. All subjects must be free from severe gynecological diseases, not using antibiotics or probiotics, and without acute vaginal infection symptoms. The study period is 8 weeks. Before intervention, baseline data collection will include complete medical history and infertility treatment records. During the first visit, vaginal secretion samples will be collected for vaginal microbiota assessment through 16S rRNA sequencing analysis, simultaneously measuring Lactobacillus content and microbial diversity. Subjects will then use postbiotic intervention continuously for 8 weeks. After treatment, a second sampling will be conducted to re-analyze the vaginal microbiota. The primary outcome measures include changes in microbial composition before and after use, including dominant species distribution, α-diversity index, and changes in Lactobacillus content. All specimens will be collected, transported, and preserved following standard operating procedures to ensure testing quality. Research data will be analyzed using paired sample statistical methods to assess pre-post treatment differences, with significance level set at p<0.05.
Outcome
- Compare differences in vaginal microbiota before and after using postbiotic intervention.
- Compare differences in taxonomic abundance before and after using postbiotic intervention.
- Check pregnancy rate of IVF-FET cycle after postbiotic intervention use
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Kaohsiung City, Taiwan
- Department of Obstetrics and Gynecology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- (1) age 30-45 years;
- (2) body mass index 18-30 kg/m²;
- (3) history of ≥2 prior IVF treatment failures despite transfer of good-quality embryos;
- (4) planned FET cycle;
- (5) willingness to comply with the eight-week postbiotic intervention protocol
Exclusion Criteria:
- (1) active acute vaginal infection with symptomatic presentation;
- (2) antibiotic or probiotic use within the preceding three months;
- (3) congenital uterine anomalies including septate, bicornuate, or unicornuate uterus;
- (4) severe intrauterine adhesions (Asherman syndrome grade III-IV);
- (5) history of gynecologic malignancy;
- (6) known allergy or hypersensitivity to Lactobacillus-derived products;
- (7) current ongoing pregnancy
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: postbiotics
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Participants will self-administer postbiotic intervention via intravaginal suppositories containing purified bacteriocin peptides .
The intervention consists of one suppository administered intravaginally at bedtime, once daily for 8 consecutive weeks (56 days total).
Each suppository contains a standardized concentration of bacteriocins extracted from Lactobacillus strains.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Vaginal microbiome composition (genus level)
Time Frame: Baseline (Week 0) and post-intervention (Week 8)
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Changes in vaginal bacterial community structure assessed through 16S rRNA gene sequencing of vaginal secretion samples collected at baseline (Week 0) and post-intervention (Week 8)
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Baseline (Week 0) and post-intervention (Week 8)
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Taxonomic abundance (%)
Time Frame: Baseline (Week 0) and post-intervention (Week 8)
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Quantitative measurement of the relative proportions of bacterial taxa at different taxonomic levels (phylum, genus, and species) in vaginal samples before and after bacteriocin treatment.
Results will report the percentage abundance of major bacterial groups.
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Baseline (Week 0) and post-intervention (Week 8)
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Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Pregnancy rate (%)
Time Frame: through study completion, an average of 8 months
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Visualization of fetal cardiac activity on transvaginal ultrasound at 6-7 weeks' gestation
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through study completion, an average of 8 months
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Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General Publications
- Moreno I, Codoner FM, Vilella F, Valbuena D, Martinez-Blanch JF, Jimenez-Almazan J, Alonso R, Alama P, Remohi J, Pellicer A, Ramon D, Simon C. Evidence that the endometrial microbiota has an effect on implantation success or failure. Am J Obstet Gynecol. 2016 Dec;215(6):684-703. doi: 10.1016/j.ajog.2016.09.075. Epub 2016 Oct 4.
- Kumar A, Green KM, Rawat M. A Comprehensive Overview of Postbiotics with a Special Focus on Discovery Techniques and Clinical Applications. Foods. 2024 Sep 17;13(18):2937. doi: 10.3390/foods13182937.
- Vinderola G, Sanders ME, Salminen S. The Concept of Postbiotics. Foods. 2022 Apr 8;11(8):1077. doi: 10.3390/foods11081077.
- Salminen S, Collado MC, Endo A, Hill C, Lebeer S, Quigley EMM, Sanders ME, Shamir R, Swann JR, Szajewska H, Vinderola G. The International Scientific Association of Probiotics and Prebiotics (ISAPP) consensus statement on the definition and scope of postbiotics. Nat Rev Gastroenterol Hepatol. 2021 Sep;18(9):649-667. doi: 10.1038/s41575-021-00440-6. Epub 2021 May 4.
- Moreno I, Garcia-Grau I, Perez-Villaroya D, Gonzalez-Monfort M, Bahceci M, Barrionuevo MJ, Taguchi S, Puente E, Dimattina M, Lim MW, Meneghini G, Aubuchon M, Leondires M, Izquierdo A, Perez-Olgiati M, Chavez A, Seethram K, Bau D, Gomez C, Valbuena D, Vilella F, Simon C. Endometrial microbiota composition is associated with reproductive outcome in infertile patients. Microbiome. 2022 Jan 4;10(1):1. doi: 10.1186/s40168-021-01184-w.
- Zhao H, Wang C, Narsing Rao MP, Rafiq M, Luo G, Li S, Kang Y-Q. Effects of vaginal microbiota on in vitro fertilization outcomes in women with different infertility causes. Microbiol Spectr. 2025 Mar 4;13(3):e0125524. doi: 10.1128/spectrum.01255-24. Epub 2025 Jan 27.
- Karaer A, Dogan B, Gunal S, Tuncay G, Arda Duz S, Unver T, Tecellioglu N. The vaginal microbiota composition of women undergoing assisted reproduction: a prospective cohort study. BJOG. 2021 Dec;128(13):2101-2109. doi: 10.1111/1471-0528.16782. Epub 2021 Jun 20.
- Tian Q, Jin S, Zhang G, Liu Y, Liu J, Tang X, Li Y, Liu J, Liu Y, Wang Z. Assessing vaginal microbiome through Vaginal Microecology Evaluation System as a predictor for in vitro fertilization outcomes: a retrospective study. Front Endocrinol (Lausanne). 2024 Jul 9;15:1380187. doi: 10.3389/fendo.2024.1380187. eCollection 2024.
- Su W, Gong C, Zhong H, Yang H, Chen Y, Wu X, Jin J, Xi H, Zhao J. Vaginal and endometrial microbiome dysbiosis associated with adverse embryo transfer outcomes. Reprod Biol Endocrinol. 2024 Aug 28;22(1):111. doi: 10.1186/s12958-024-01274-y.
- Vainamo S, Saqib S, Kalliala I, Kervinen K, Luiro K, Niinimaki M, Halttunen-Nieminen M, Virtanen S, Nieminen P, Salonen A, Holster T. Longitudinal analysis of vaginal microbiota during IVF fresh embryo transfer and in early pregnancy. Microbiol Spectr. 2023 Dec 12;11(6):e0165023. doi: 10.1128/spectrum.01650-23. Epub 2023 Oct 26.
- Onderdonk AB, Delaney ML, Fichorova RN. The Human Microbiome during Bacterial Vaginosis. Clin Microbiol Rev. 2016 Apr;29(2):223-38. doi: 10.1128/CMR.00075-15.
- Gao X, Louwers YV, Laven JSE, Schoenmakers S. Clinical Relevance of Vaginal and Endometrial Microbiome Investigation in Women with Repeated Implantation Failure and Recurrent Pregnancy Loss. Int J Mol Sci. 2024 Jan 3;25(1):622. doi: 10.3390/ijms25010622.
- Koedooder R, Singer M, Schoenmakers S, Savelkoul PHM, Morre SA, de Jonge JD, Poort L, Cuypers WJSS, Beckers NGM, Broekmans FJM, Cohlen BJ, den Hartog JE, Fleischer K, Lambalk CB, Smeenk JMJS, Budding AE, Laven JSE. The vaginal microbiome as a predictor for outcome of in vitro fertilization with or without intracytoplasmic sperm injection: a prospective study. Hum Reprod. 2019 Jun 4;34(6):1042-1054. doi: 10.1093/humrep/dez065.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- KSVGH25-CT1-18
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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