Sexually Transmitted Infection Clinical Trial
— vMICRObOfficial title:
Impact of Long-Acting Progestin Contraception on the Vaginal Microbiome
NCT number | NCT02740998 |
Other study ID # | H-34707 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | March 2016 |
Est. completion date | June 1, 2018 |
Verified date | July 2018 |
Source | Boston Medical Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Despite many years of research, controversy persists as to whether hormonal contraception
promotes HIV acquisition. A number of observational studies on depot medroxyprogesterone
acetate (DMPA) injection showed an increase in HIV risk and no evidence of increased risk
with oral contraceptive pills. There are no human studies currently published on the impact
of the levonorgestrel intrauterine device (LNG IUD) on HIV transmission risk and minimal data
on the effects of the etonogestrel subdermal implant (ESI) on risk of HIV acquisition.
Establishing whether any of these highly effective contraceptives increases the risk of HIV
infection would have far-reaching public health implications, particularly in areas of high
HIV prevalence such as sub-Saharan Africa, where injectable contraception accounts for nearly
half of contraceptive use.
Perturbations in the normal vaginal microbiota, or community of microorganisms inhabiting the
vaginal body niche, have long been known to affect the risk of transmission of HIV. Studies
have shown altered vaginal microbiota with DMPA injection and preserved vaginal microbiota
with the LNG IUD, but no studies have compared these methods head-to-head or used
culture-independent sequencing methodology. The investigators propose a prospective pilot
study to evaluate the impact of different long-acting progestin contraceptive formulations on
the vaginal microbiome. Specifically, the investigators aim to identify and compare
metagenomics profiles associated with DMPA, LNG IUD, and ESI contraceptive use by community
analysis of vaginal swab samples from women collected longitudinally after contraceptive
method initiation. The investigators hypothesize that DMPA will increase community diversity
in the vaginal microbiota, whereas the LNG IUD and ESI will not affect the balance of
microorganisms in the vagina. Women who are planning to initiate DMPA, LNG IUD, and ESI
contraception as well as controls not seeking contraception will be recruited for the study
from Boston Medical Center (BMC), a tertiary care center with a racially and
socioeconomically diverse patient population. Women will have longitudinal follow-up with
self-sampling of the vagina for sexually transmitted infection testing and metagenomics
analysis at method initiation, 2-3 months, and 6 months. Establishing the safest long-acting
progestin contraceptive alternative will promote effective contraception use and lower rates
of HIV acquisition worldwide.
Status | Completed |
Enrollment | 28 |
Est. completion date | June 1, 2018 |
Est. primary completion date | June 1, 2018 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 18 Years to 40 Years |
Eligibility |
Inclusion criteria - Women between the ages of 18-40 who elect to start a long-acting progestin contraceptive or who opt for tubal sterilization. - Our site will enroll 18 patients total: 5 DMPA; 5 Mirena IUD, 5 Nexplanon, 2-3 tubal ligations/Essures (controls) Exclusion criteria - Non-English-speaking without translator - Current or recent (within past 3 months) use of hormonal contraception - Currently menstruating - Vaginal intercourse within 48 hours of visit - Known or suspected pregnancy, or pregnancy within the past 6 weeks. - Use of progestin method for primary indication other than contraception (e.g. pelvic pain, menorrhagia) - Current STI or vaginitis (yeast or BV) - Tampon usage - Regular douching - Chronic antibiotic use within past 4 weeks - HIV positive - Immunosuppressive therapy (organ transplant, chemotherapy) |
Country | Name | City | State |
---|---|---|---|
United States | Boston Medical Center | Boston | Massachusetts |
United States | Women and Infants Hospital | Providence | Rhode Island |
Lead Sponsor | Collaborator |
---|---|
Boston Medical Center |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Site based approach to the analysis of the impact of disease status and metadata | The Dirichlet-multinomial distribution allows the analyst to perform tests of hypotheses (e.g., compare microbiomes across groups) and to estimate parameters describing microbiome properties. The Dirichlet-multinomial distribution prevents Type I error inflation by taking into account the overdispersion in count data in the microbiome. This model allows comparison of microbiome populations between more than two groups of subjects (i.e. Mirena IUD users, DMPA users, Nexplanon implant users). This test is analogous to an analysis-of-variance test in classical statistics. We will access biostatisticians experienced with new technology-derived datasets at Case Western and the Lifespan/Tufts/Brown/BU CFAR Biostatistical Core. | 1 Year | |
Primary | Biomarker discovery | Use of the following two approaches will provide preliminary data for future larger studies from this limited pilot study. If the hypothesis of a vaginal microbial shift with Depo Provera (DMPA) use is confirmed (our PRIMARY analysis), these tools will enable visualization of the differences. The tables of relative abundance of either taxonomic groups or metabolic pathways will be used to identify differential bacterial biomarkers present among patient and sample classes. Two bioinformatics tools particularly useful for biomarker discovery are LEfSe and MaAsLin (Multivariate Association with Linear Models, http://huttenhower.sph.harvard.edu/maaslin). | 1 year | |
Secondary | Correlation of disease state and metadata factors with microbiome structure | Effects of different sources of variation (e.g. smoking status, presence of STI) on community structure will be assessed in MANOVA models, and for OTUs of interest, ANOVA. Analyses will use either frequencies of OTUs or PCA values from major axes. Effects of various sources of variation on community diversity will be analyzed by ANOVA on diversity indices, obtained from QIIME. | 1 Year |
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