Influence of Lactobacillus crispatus, Lactobacillus iners and Gardnerella vaginalis on bacterial vaginal composition in pregnant women

PURPOSE

To investigate associations between bacterial species in the vagina in mid-trimester pregnant women from Brazil.

METHODS

The vaginal microbiome in 613 subjects was identified by analysis of the V1-V3 region of bacterial 16S ribosomal RNA and the relative prevalence of individual bacteria were determined.

RESULTS

The bacterial species present in the greatest number of women were Lactobacillus crispatus (306 women), L. iners (298 women) and Gardnerella vaginalis (179 women). When present in the vagina, L. crispatus was the most abundant bacterium more than 85% of the time. In contrast, L. iners and G. vaginalis were most abundant in 63% and 41% of women who were positive for these microorganisms, respectively (p < 0.0001 vs. L. crispatus). The proportion of L. crispatus was negatively associated with the proportions of L. iners, L. jensenii, L. gasseri, G. vaginalis, Megasphaera, Atopobium vaginae and Prevotella (p < 0.0001). In contrast, the proportion of G. vaginalis was positively associated with levels of Megasphaera, A. vaginae and Prevotella (p < 0.0001) while L. iners proportion was unrelated to the proportion of L. jensenii, G. vaginalis, Megasphaera, A. vaginae or Prevotella.

CONCLUSION

The composition of the vaginal microbiota in mid-trimester pregnant women is influenced by the relative concentrations of L. crispatus, L. iners and G. vaginalis.

Association of vaginal bacterial communities and reproductive outcomes with prophylactic antibiotic exposure in a subfertile population undergoing in vitro fertilization: a prospective exploratory study

OBJECTIVE

To determine whether prophylactic azithromycin is associated with the vaginal bacterial microbiome and clinical outcomes in subfertile women undergoing in vitro fertilization (IVF).

DESIGN

Prospective exploratory cohort study.

SETTING

Single academic fertility center.

PATIENTS

Subfertile women aged 18-43 years undergoing their first IVF cycle and fresh embryo transfer.

INTERVENTION

Primary exposure to prophylactic azithromycin (1 g orally) once at baseline.

MAIN OUTCOME MEASURES

The primary outcome was the effect of azithromycin on the vaginal microbiome compared with a no-azithromycin group at 3 time points throughout the IVF cycle (baseline, retrieval, and embryo transfer). The secondary outcomes were associations of vaginal bacterial communities with clinical outcomes.

RESULTS

A planned a priori exploratory cohort of 27 subjects (12 in the azithromycin treatment group and 15 in the no-azithromycin group) contributed 79 vaginal swabs for the analysis as part of an ongoing randomized, controlled noninferiority trial. No specific taxa were associated with azithromycin or pregnancy at any time point. Azithromycin did not affect alpha diversity or community stability. Although there were trends of a lower bacterial load and higher percentage of Lactobacillus species in the azithromycin group at the time of transfer, these were not statistically significant. In women who did not become pregnant, the percentage of Lactobacillus species was lower (P = .048; Hodges-Lehmann estimate of difference, 0.41; 95% confidence interval, 0.08-0.65) and the change in community composition over time was higher. The percentage of Lactobacillus species at baseline was not predictive of the percentage of Lactobacillus species at the time of embryo transfer.

CONCLUSIONS

Prophylactic azithromycin at baseline is not associated with changes in vaginal bacterial communities. Bacterial community features at the time of embryo transfer are associated with pregnancy. Bacterial community structures at baseline are not predictive of those at the time of embryo transfer.

CLINICAL TRIAL REGISTRATION NUMBER

NCT03386227.

Characteristics of the vaginal microbiomes in prepubertal girls with and without vulvovaginitis

The present study focused on the characteristics of the vaginal microbiomes in prepubertal girls with and without vulvovaginitis. We collected 24 vaginal samples and 16 fecal samples from 10 girls aged 3–9 years with vulvovaginitis and 16 healthy girls of the same age. The samples were divided into three groups: fecal swabs from healthy controls (HF), vaginal swabs from healthy controls (HVS), and vaginal swabs from girls with vulvovaginitis (VVS). Sequencing of the V3–V4 region of the 16S rDNA gene was performed with the NovaSeq PE250 platform to reveal the vaginal microbial community structure in healthy prepubertal girls and vulvovaginitis-associated microbiota. The intestinal microbiomes of healthy children were also analyzed for comparison. This study revealed that the healthy vaginal tract in prepubertal girls was dominated by Prevotella, Porphyromonas, Ezakiella, and Peptoniphilus species, with a high diversity of microbiota. The vulvovaginitis-associated microbiota were dominated by Streptococcus, Prevotella, Haemophilus, and Granulicatella, with lower diversity than that in healthy girls. Furthermore, the compositions of the vaginal and intestinal microbiomes were completely different. ANOSIM, MRPP, Adonis, and AMOVA were used to analyze the beta diversity, and the results showed that there were significant differences in the microbial communities among the three groups. Lactobacillus deficiency and high bacterial diversity were characteristics of the vaginal microbiome in healthy prepubertal girls; this is inconsistent with that in reproductive-age women. The vulvovaginitis-associated vaginal microbiota differed dramatically from normal microbiota, and the main causative agents were not fecal in origin.

Changes in the Vaginal Microbiome during the Pregnancy to Postpartum Transition

Substantial changes in the composition of the vaginal microbiome occur following the end of pregnancy. To identify potential drivers of microbiome changes in individual women during the pregnancy to postpartum transition, we evaluated vaginal samples from 48 pregnant women during their first and third trimesters and postpartum. We determined the species composition of vaginal communities and the vaginal fluid levels of compounds involved in mediating changes in host physiology and the immune system at each time point. We used linear mixed-effects models to characterize associations. Consistent with previous reports, but with a larger sample size, a US population, and variations in the dominant bacteria, the vaginal microbiome was found to be more diverse during the postpartum period. There was a lower abundance of Lactobacillus and significantly higher proportions of Streptococcus anginosus and Prevotella bivia. Moreover, we uniquely demonstrated that postpartum vaginal secretions were also altered postpartum. There were elevated levels of hyaluronan and Hsp70 and decreased levels of the D- and L-lactic acid isomers. We posit that these variations are consequences of alterations in the vagina after delivery that profoundly alter the host environment and, thus, lead to changes in the capability of different bacterial species to survive and proliferate.

Detection of Vaginal Metabolite Changes in Premature Rupture of Membrane Patients in Third Trimester Pregnancy: a Prospective Cohort Study

Premature rupture of membranes (PROM) is usually associated with pregnant and neonatal complications. Most of the PROM cases are caused by ascending asymptomatic genital infection. In China, PROM (15.3%) is more common than spontaneous preterm labor (7.3%) and leads to more adverse pregnancy outcomes. Here, we designed a prospective cohort study to measure the metabolomics changes in vaginal swab samples and explored their potential contribution to PROM. A total of 260 differentially expressed metabolites were identified and further analyzed. In the PROM group, N-acetyl-D-galactosamine and sucrose were downregulated (P = 0.0025, P = 0.0195, respectively), both of which are the upstream metabolites of the glycolysis pathway. Furthermore, estriol 3-sulfate 16-glucuronide (P = 0.0154) and 2-methoxy-17beta-estradiol 3-glucosiduronic acid (P = 0.004), two final metabolites in steroid hormone biosynthesis, were both downregulated in the PROM group. Finally, we found two catechin metabolites (epigallocatechin-7-glucuronide, P = 0.0009; 4'-methyl-epigallocatechin-7-glucuronide, P = 0.01) as well as DL-citrulline (P = 0.0393) were also significantly downregulated in the PROM group compared with the healthy control (HC) group, which are related to important antioxidant and anti-inflammatory activities in the human body. Altogether, metabolite changes in glycolysis, steroid hormone biosynthesis, and antioxidant/anti-inflammatory pathways may contribute to (or be a consequence of) vaginal dysbiosis and PROM. Metabolite pathway analysis is a new and promising approach to further investigate the mechanism of PROM and help prevent its unfavorable pregnant outcomes at a functional level. Trial registration number: ChiCTR2000034721.

Torquetenovirus Titer in Vaginal Secretions from Pregnant and Postpartum Women: Association with Absence of Lactobacillus crispatus and Levels of Lactic Acid and Matrix Metalloproteinase-8

Vaginal samples from women with term deliveries were tested for torquetenovirus (TTV) by gene amplification, matrix metalloproteinase (MMP)-8 and D- and L-lactic acid by ELISA, and microbiome composition by analysis of the bacterial 16S ribosomal RNA gene. TTV was detected in 43.2%, 31.5%, and 41.4% of first trimester, third trimester, and postpartum samples, respectively. The viral titer was higher in postpartum than in the first (p = 0.0018) or third (p = 0.0013) trimester. The mean gestational age at delivery was lower in women positive for TTV in their first trimester (p = 0.0358). In the first and third trimester, the MMP-8 level was higher if TTV was also present (p < 0.0091). The D-lactic acid level was lower in first trimester samples if TTV was present (p = 0.0334). Lactobacillus crispatus dominance in first and third trimester samples was higher when TTV was absent (p < 0.0033). We conclude that TTV is present in the vagina in many women with normal pregnancy outcomes and that its occurrence is associated with a lack of L. crispatus dominance, an increase in vaginal MMP-8 and a decrease in D-lactic acid.

Altered vaginal microbiome and relative co-abundance network in pregnant women with penicillin allergy

Background

Penicillin allergy is frequently reported in adults and children. Recent studies suggest that microbiota plays a key role in the development and progression of allergy. In this study, the relationship between vaginal microbiome and pregnant women with penicillin allergy was investigated.

Methods

Vaginal samples before labor from 12 pregnant women with penicillin allergy and 15 non-allergic pregnant women were collected. Bacterial community structure of all study subjects and the discrepancies between the two groups were analyzed using 16S rRNA sequencing based on Illumina Hiseq 2500 platform.

Results

The abundant phyla among all participants were Firmicutes, Actinobacteria and Bacteroidetes. The predominant genus was Lactobacillus. Compared to non-allergic pregnant women, Actinobacteria, Coriobacteriaceae, Lachnospiraceae, Paraprevotella and Anoxybacillus significantly decreased, whereas Deltaproteobacteria, Peptostreptococcaceae, Enterococcus and Megamonas were more abundant in penicillin allergic women. Additionally, obvious discrepancies were observed in the co-abundance network at the genus level between the two groups.

Conclusions

There were differences in the microbial community structure and composition of reproduction tract between penicillin allergic and non-allergic pregnant women. These shifts may be related to maternal and neonatal health.

Human papillomavirus infection and cervical intraepithelial neoplasia progression are associated with increased vaginal microbiome diversity in a Chinese cohort

BACKGROUND

In this study, the association between human papillomavirus (HPV) infection and related cervical intraepithelial neoplasia (CIN) or cervical cancer and vaginal microbiome was evaluated in Chinese cohorts.

METHODS

The vaginal bacterial composition of five groups, HPV-infected women without CINs (HPV, n = 78), women with low-grade squamous intraepithelial lesions (LSIL, n = 51), women with high-grade squamous intraepithelial lesions (HSIL, n = 23), women with invasive cervical cancer (Cancer, n = 9) and healthy women without HPV infection (Normal, n = 68), was characterized by deep sequencing of barcoded 16S rRNA gene fragments (V3-4) using Illumina MiSeq.

RESULTS

HPV infection increased vaginal bacterial richness and diversity regardless of the status of CINs. The vaginal bacterial richness and diversity were further augmented in women with cervical cancer. Lactobacillus was the most abundant genus in all groups. HPV infection had a negative influence on the abundances of Lactobacillus, Gardnerella and Atopobium. Accordingly, HPV infection increased the relative abundance of Prevotella, Bacillus, Anaerococcus, Sneathia, Megasphaera, Streptococcus and Anaerococcus. The increased proportions of Bacillus, Anaerococcus and the reduced abundance of Gradnerella vaginalis were probably related with the progression of CINs severity. HPV infection without CINs or cancerous lesions was strongly associated with Megasphaera. The most abundant bacterium in the LSIL group was Prevotella amnii. However, Prevotella timonensis, Shuttleworthia and Streptococcaceae at the family level were three taxa related to HSIL. Furthermore, more taxa were associated with the Cancer group including Bacillus, Sneathia, Acidovorax, Oceanobacillus profundus, Fusobacterium, Veillonellaceae at the family level, Anaerococcus and Porphyromonas uenonis. Samples in the Normal group were mostly assigned to CST III. HPV infection converted the vaginal bacterial community structure from CST III to CST IV. Furthermore, the proportions of CST IV were gradually augmented with the progression of the severity of CINs.

CONCLUSIONS

This work interpreted the differential vaginal bacteria under HPV infection and various precancerous or cancerous lesions in a Chinese cohort. We distinguished the specific microbes and the vaginal bacterial structure that were related with the progression of CINs severity in Chinese women.

Assessing endometrial receptivity after recurrent implantation failure: a prospective controlled cohort study

RESEARCH QUESTION

What is the prevalence of disrupted markers of endometrial function among women experiencing recurrent implantation failure (RIF), and does the prevalence differ from a control cohort?

DESIGN

Prospective controlled cohort study. In total, 86 women with a history of RIF and 37 women starting their first fertility treatment were recruited for this study. Endometrial and blood profiling were carried out in a hormone-substituted cycle using oestradiol and progesterone. Endometrial biopsies were analysed by histology, immune cell profiling, and the endometrial receptivity array (ERA®) test (Igenomix, Valencia, Spain). The vaginal microbiome was analysed using a NGS-based technology (ArtPRED, Amsterdam, the Netherlands). Blood tests included oestradiol, progesterone, prolactin, thyroid-stimulating hormone, vitamin D and anti-phospholipid antibody levels.

RESULTS

Patients who had experienced RIF produced a range of test abnormalities. Compared with controls, women with RIF had a higher prevalence of chronic endometritis (24% versus 6%), a lower vitamin D level and a borderline lower progesterone level. Women who had experienced RIF had a more favourable vaginal microbiome compared with controls. Although the RIF cohort was older than the controls (mean age 33.8 years versus 30.2 years), no differences between the groups were observed in immune cell profiling and the ERA test.

CONCLUSION

These data demonstrate that a single test or treatment for the endometrial factor in RIF is unlikely to be clinically effective. Diagnosing the endometrium in women with RIF permits targeted rather than blind interventions. Relative vitamin D deficiency, lower mid-luteal progesterone and chronic endometritis are ready targets for treatment. Understanding the role and treatment of an unfavourable vaginal microbiome in RIF needs further investigation.

The vaginal microbiome of sub-Saharan African women: revealing important gaps in the era of next-generation sequencing

Accurate characterization of the vaginal microbiome remains a fundamental goal of the Human Microbiome project (HMP). For over a decade, this goal has been made possible deploying high-throughput next generation sequencing technologies (NGS), which indeed has revolutionized medical research and enabled large-scale genomic studies. The 16S rRNA marker-gene survey is the most commonly explored approach for vaginal microbial community studies. With this approach, prior studies have elucidated substantial variations in the vaginal microbiome of women from different ethnicities. This review provides a comprehensive account of studies that have deployed this approach to describe the vaginal microbiota of African women in health and disease. On the basis of published data, the few studies reported from the African population are mainly in non-pregnant post pubertal women and calls for more detailed studies in pregnant and postnatal cohorts. We provide insight on the use of more sophisticated cutting-edge technologies in characterizing the vaginal microbiome. These technologies offer high-resolution detection of vaginal microbiome variations and community functional capabilities, which can shed light into several discrepancies observed in the vaginal microbiota of African women in an African population versus women of African descent in the diaspora.

Vaginal microbiota associated with preterm delivery

OBJECTIVES

The aim of this study was to evaluate whether vaginal microbiota is associated with threatened premature labor and preterm delivery.

METHODS

This prospective study enrolled 64 pregnant women who underwent vaginal microbiome analyses using 16S ribosomal RNA sequence method with informed consent. The 64 pregnant women consisted of 47 women with threatened premature labor and 17 women with other diseases (non-threatened premature labor) in a case-control study. In a cohort study of threatened premature labor group, 23 pregnancies ended in preterm delivery, and the remaining 24 ended in full-term deliveries. The differences in vaginal microbiota between threatened and non-threatened premature labor groups, and between preterm and full-term delivery groups were evaluated.

RESULTS

There were no differences in vaginal microbiota between threatened and non-threatened premature labor groups. There were significant differences between preterm and full-term delivery groups in Nugent score [median 3 (range 0-7) vs. 0 (0-4), p < 0.05], percentage of Lactobacillus species [88% (0-100) vs. 99.8% (55.4-100), p < 0.01], the number of bacterial species [3 (1-13) vs. 2 (1-5), p < 0.05], and positivity of Ureaplasma species (61% vs. 17%, p < 0.01). Univariate and multivariable analyses revealed that positivity of Ureaplasma species was a predictive factor of preterm delivery in women with threatened premature labor (OR, 6.5; 95% CI, 1.3-33.0; p < 0.05).

CONCLUSION

Increased positivity of Ureaplasma species in vaginal microbiota was a risk factor for preterm delivery among women with threatened premature labor. Vaginal microbiome analysis may identify high risk pregnancies for preterm delivery.

The pregnancy microbiome and preterm birth

Preterm birth is a global health concern and continues to contribute to substantial neonatal morbidity and mortality despite advances in obstetric and neonatal care. The underlying aetiology is multi-factorial and remains incompletely understood. In this review, the complex interplay between the vaginal microbiome in pregnancy and its association with preterm birth is discussed in depth. Advances in the study of bacteriology and an improved understanding of the human microbiome have seen an improved awareness of the vaginal microbiota in both health and in disease.

Vaginal Microbiome of Pregnant Indian Women: Insights into the Genome of Dominant Lactobacillus Species

The trillions of microorganisms residing in the human body display varying degrees of compositional and functional diversities within and between individuals and contribute significantly to host physiology and susceptibility to disease. Microbial species present in the vaginal milieu of reproductive age women showed a large personal component and varies widely in different ethnic groups at the taxonomic, genomic, and functional levels. Lactobacillus iners, L. crispatus, L. gasseri, L. jensenii, and L. johnsonii are most frequently detected bacterial species in the vaginal milieu of reproductive age women. However, we currently lack (i) an understanding of the baseline vaginal microbiota of reproductive age Indian women, (ii) the extent of taxonomic and functional variations of vaginal microbiota between individuals and (iii) the genomic repertoires of the dominant vaginal microbiota associated with the Indian subjects. In our study, we analyzed the metagenome of high vaginal swab (HVS) samples collected from 40 pregnant Indian women enrolled in the GARBH-Ini cohort. Composition and abundance of bacterial species was characterized by pyrosequencing 16S rRNA gene. We identified 3067 OTUs with ≥ 10 reads from four different bacterial phyla. Several species of lactobacilli were clustered into three community state types (CSTs). L. iners, L. crispatus, L. gasseri, and L. jensenii are the most frequently detected Lactobacillus species in the vaginal environment of Indian women. Other than Lactobacillus, several species of Halomonas were also identified in the vaginal environment of most of the women sampled. To gain genomic and functional insights, we isolated several Lactobacillus species from the HVS samples and explored their whole genome sequences by shotgun sequencing. We analyzed the genome of dominant Lactobacillus species, L. iners, L. crispatus, L. gasseri, and L. paragesseri to represent the CSTs and identify functions that may influence the composition of complex vaginal microbial ecology. This study reports for the first time the vaginal microbial ecology of Indian women and genomic insights into L. iners, L. crispatus, L. gasseri, and L. paragesseri commonly found in the genital tract of reproductive age women.

The association between vaginal microbiota and female infertility: a systematic review and meta-analysis

PURPOSE

This study aimed to explore the association between vaginal microbiota and infertility.

METHODS

We searched a range of electronic databases for appropriate articles, including PubMed, Web of Science, Embase, Chinese National Knowledge Infrastructure (CNKI), and Wanfang, from inception to 8th September 2019. Identified articles were then screened using strict inclusion and exclusion criteria. By referring to Tamarelle's method, we divided vaginal microbiota into two categories: low-Lactobacillus vaginal microbiota (LL-VMB) and high-Lactobacillus vaginal microbiota (HL-VMB). Patients were defined as HL-VMB if they had a Nugent score of 0-3, a negative Amesel/Spiegel's test, or if the vaginal community status was dominated by either L. crispatus, L. iners, L. gasseri and L. jensenii via 16S rRNA sequencing. Otherwise, cases were regarded as LL-VMB. Statistical analyses were performed with STATA 13.0 statistical software. Effect estimates are presented as odds ratios (ORs) with 95% confidence intervals (CIs).

RESULTS

Fifteen articles were included in our final analysis. The HL-VMB was negatively related to infertility; a fixed model showed that the pooled OR was 0.83 (95% CI 0.77-0.90). There was no significant publication bias, as determined by Begg's test (P = 0.488) and Egger's test (P = 0.652). Using a random effect model, the pooled OR for intermediate bacterial vaginitis (BV) and infertility was 1.39 (95% CI 1.10-1.76) and the pooled OR for positive BV was 1.72 (95% CI 1.10-2.69). Subgroup and sensitivity analyses further demonstrated that the associations identified were stable. However, the acquired evidence was not sufficient to make inferences with regards to the mechanisms underlying these relationships.

CONCLUSION

This systematic review and meta-analysis identified a negative correlation between HL-VMB and female infertility. However, due to a variety of limitations, the evidence acquired does not allow us to identify the specific mechanisms underlying this association. Further high-quality studies are needed to verify the causal relationship and explore the molecular mechanisms involved.

Association of the vaginal microbiota with pregnancy outcomes in Chinese women after cervical cerclage

RESEARCH QUESTION

The study aimed to investigate the relationship between risk factors associated with vaginal microbiota and outcomes of cervical cerclage.

DESIGN

A retrospective cohort study of singleton pregnancies with cervical cerclage was conducted. Before cerclage, participants underwent a vaginal microbiota assay, including morphological examination and functional vaginal microecological analysis using a vaginitis multi-test kit. The chi-squared test and logistic and linear regression analyses were performed to evaluate the associations of various risk factors with maternal and neonatal outcomes.

RESULTS

Eighty-five participants were included. The mean interval between cerclage and delivery was 69.4 ± 36.7 days, and 12 (14.1%) of newborns died. A higher grade of vaginal cleanliness, a higher pH, a lower abundance of Lactobacillus spp., a higher sialidase-positive percentage, a higher positive percentage of clue cells, a higher lactobacillary grade, a higher Nugent score and a higher rate of microecological dysbiosis were significantly associated with a poor neonatal outcome and shorter cerclage to delivery intervals (P < 0.001-0.041). Furthermore, sialidase positivity was associated with the highest risk of cervical cerclage failure (odds ratio [OR] 10.469; 95% confidence interval [CI] 1.096-36.087), followed by the presence of bulging membranes (OR 6.400; 95% CI 0.428-15.641) and vaginal microbiota dysbiosis (OR 6.038; 95% CI 0.173-17.072).

CONCLUSIONS

An absence of Lactobacillus spp. and some functional factors of vaginal microbiota are potential risk factors that predict subsequent cerclage failure. These findings indicate the potential clinical utility of these factors to predict cervical cerclage failure for managing patient expectations and providing improved postoperative surveillance.

Commentary on a combined approach to the problem of developing biomarkers for the prediction of spontaneous preterm labor that leads to preterm birth

INTRODUCTION

Globally, preterm birth has replaced congenital malformation as the major cause of perinatal mortality and morbidity. The reduced rate of congenital malformation was not achieved through a single biophysical or biochemical marker at a specific gestational age, but rather through a combination of clinical, biophysical and biochemical markers at different gestational ages. Since the aetiology of spontaneous preterm birth is also multifactorial, it is unlikely that a single biomarker test, at a specific gestational age will emerge as the definitive predictive test.

METHODS

The Biomarkers Group of PREBIC, comprising clinicians, basic scientists and other experts in the field, with a particular interest in preterm birth have produced this commentary with short, medium and long-term aims: i) to alert clinicians to the advances that are being made in the prediction of spontaneous preterm birth; ii) to encourage clinicians and scientists to continue their efforts in this field, and not to be disheartened or nihilistic because of a perceived lack of progress and iii) to enable development of novel interventions that can reduce the mortality and morbidity associated with preterm birth.

RESULTS

Using language that we hope is clear to practising clinicians, we have identified 11 Sections in which there exists the potential, feasibility and capability of technologies for candidate biomarkers in the prediction of spontaneous preterm birth and how current limitations to this research might be circumvented.

DISCUSSION

The combination of biophysical, biochemical, immunological, microbiological, fetal cell, exosomal, or cell free RNA at different gestational ages, integrated as part of a multivariable predictor model may be necessary to advance our attempts to predict sPTL and PTB. This will require systems biological data using "omics" data and artificial intelligence/machine learning to manage the data appropriately. The ultimate goal is to reduce the mortality and morbidity associated with preterm birth.

The Vaginal Microbiome as a Tool to Predict rASRM Stage of Disease in Endometriosis: a Pilot Study

Endometriosis remains a challenge to understand and to diagnose. This is an observational cross-sectional pilot study to characterize the gut and vaginal microbiome profiles among endometriosis patients and control subjects without the disease and to explore their potential use as a less-invasive diagnostic tool for endometriosis. Overall, 59 women were included, n = 35 with endometriosis and n = 24 controls. Rectal and vaginal samples were collected in two different periods of the menstrual cycle from all subjects. Gut and vaginal microbiomes from patients with different rASRM (revised American Society for Reproductive Medicine) endometriosis stages and controls were analyzed. Illumina sequencing libraries were constructed using a two-step 16S rRNA gene PCR amplicon approach. Correlations of 16S rRNA gene amplicon data with clinical metadata were conducted using a random forest-based machine-learning classification analysis. Distribution of vaginal CSTs (community state types) significantly differed between follicular and menstrual phases of the menstrual cycle (p = 0.021, Fisher's exact test). Vaginal and rectal microbiome profiles and their association to severity of endometriosis (according to rASRM stages) were evaluated. Classification models built with machine-learning methods on the microbiota composition during follicular and menstrual phases of the cycle were built, and it was possible to accurately predict rASRM stages 1-2 verses rASRM stages 3-4 endometriosis. The feature contributing the most to this prediction was an OTU (operational taxonomic unit) from the genus Anaerococcus. Gut and vaginal microbiomes of women with endometriosis have been investigated. Our findings suggest for the first time that vaginal microbiome may predict stage of disease when endometriosis is present.

Vaginal Microbiota and In Vitro Fertilization Outcomes: Development of a Simple Diagnostic Tool to Predict Patients at Risk of a Poor Reproductive Outcome

BACKGROUND

Female reproductive tract microbiota may affect human reproduction. The current study considered whether a more detailed characterization of the vaginal microbiota could improve prediction of risk of poor reproductive outcome in patients undergoing in vitro fertilization (IVF).

METHODS

Vaginal samples from 120 patients undergoing IVF were sequenced using the V4 region of the 16S ribosomal RNA gene with clustering of Gardnerella vaginalis genomic clades. Abnormal vaginal microbiota was defined by microscopy and quantitative polymerase chain reaction (qPCR) for G. vaginalis and/or Atopobium vaginae above a threshold.

RESULTS

Three major community state types with abundance of Lactobacillus crispatus, Lactobacillus iners, and a diverse community type were identified, including 2 subtypes, characterized by a high abundance of L. crispatus and L. iners, respectively, but in combination with common diversity type operational taxonomic units. No significant association between community state type and the reproductive outcome could be demonstrated; however, abnormal vaginal microbiota by qPCR and a grouping based on high Shannon diversity index predicted the reproductive outcome equally well.

CONCLUSIONS

The predictive value of 16S ribosomal RNA gene sequencing was not superior to the simpler and less expensive qPCR diagnostic approach in predicting the risk of a poor reproductive outcome in patients undergoing IVF.

CLINICAL TRIALS REGISTRATION

NCT02042352.

The immune system and microbiome in pregnancy

Hormonal changes during pregnancy instigate numerous physiological changes aimed at the growth and delivery of a healthy baby. A careful balance between immunological tolerance against fetal antigens and immunity against infectious agents needs to be maintained. A three-way interaction between pregnancy hormones, the immune system and our microbiota is now emerging. Recent evidence suggests that microbial alterations seen during pregnancy may help maintain homeostasis and aid the required physiological changes occurring in pregnancy. However, these same immunological and microbial alterations may also make women more vulnerable during pregnancy and the post-partum period, especially regarding immunological and infectious diseases. Thus, a further understanding of the host-microbial interactions taking place during pregnancy may improve identification of populations at risk for adverse pregnancy outcomes.

Defining microbial biomarkers for risk of preterm labor

Preterm birth remains the main contributor to early childhood mortality. The vaginal environment, including microbiota composition, might contribute to the risk of preterm delivery. Alterations in the vaginal microbial community structure might represent a risk factor for preterm birth. Here, we aimed to (a) investigate the association between preterm birth and the vaginal microbial community and (b) identify microbial biomarkers for risk of preterm birth. Microbial DNA was isolated from vaginal swabs in a cohort of 69 women enrolled at hospital admission for their delivery. Microbiota was analyzed by high-throughput 16S rRNA sequencing. While no differences in microbial diversity measures appeared associated with the spontaneous preterm and full-term outcomes, the microbial composition was distinct for these groups. Differential abundance analysis showed Lactobacillus species to be associated with full-term birth whereas an unknown Prevotella species was more abundant in the spontaneous preterm group. Although we studied a very miscegenated population from Brazil, our findings were similar to evidence pointed by other studies in different countries. The role of Lactobacillus species as a protector in the vaginal microbiome is demonstrated to be also a protector of spontaneous preterm outcome whereas the presence of pathogenic species, such as Prevotella spp., is endorsed as a factor of risk for spontaneous preterm delivery.

Vaginal microbiomes and ovarian cancer: a review

The human microbiome, often termed as "the forgotten organ", is an aggregation of microorganisms and their genomes that forms a mutualistic complex with the host. Recent research has shown the symbiotic merits of a microbiome ecosystem and its crucial role in the hosts' physiological functions. Disruption of this symbiotic relationship is prone to cause a broad spectrum of ailments, including cancer. The compositional and environmental factors that tip the scales from beneficial co-existence to the development of malignancy is actively investigated. Herein we review the latest research in knowledge regarding the association between the vaginal microbiomes and oncogenesis, with a particular focus on ovarian carcinoma.

Bacterial vaginosis-A brief synopsis of the literature

Bacterial vaginosis (BV) affects women of reproductive age and can either be symptomatic or asymptomatic. Approximately 50 % of women are symptomatic and experience vaginal malodor, discharge, itching and increased vaginal pH. BV can increase the risk of contracting many sexually transmitted infections (STIs) such as human immunodeficiency virus (HIV), Neisseria gonorrhea (NG), Chlamydia trachomatis (CT), Trichomonas vaginalis (TV) and herpes simplex virus-2 (HSV-2). Though effective treatment options do exist, metronidazole or clindamycin, these methods have proven not to be effective long term. The purpose of this review is to summarize current literature on the epidemiology of BV and highlight areas of deficiency in current clinical practice with respect to BV. BV recurrence rates are high, approximately 80 % three months after effective treatment. Furthermore, in some instances treatment is ineffective and BV persists. Literature also documents the relationship between BV and human papillomavirus (HPV). HPV is the most common sexually transmitted infection among young adult women while BV is the most common cause of vaginal symptoms among women of reproductive age. BV is associated with high levels of anaerobic organisms which can damage the vaginal epithelium and increase the risk of HPV infection. Recent research also highlights the role of the vaginal microbiome in BV. The results of this review warrant further exploration into the etiology of BV as well as exploration of more long-term effective treatment and the investigation of prognostic indicators. Additionally, the need for a standard definition of recurrent and persistent BV is recognized.

Vaginal dysbiosis associated-bacteria Megasphaera elsdenii and Prevotella timonensis induce immune activation via dendritic cells

Dysbiosis of the vaginal microbiome as a result of overgrowth of anaerobic bacteria leads to bacterial vaginosis (BV) which is associated with increased inflammation in the genital mucosa. Moreover, BV increases susceptibility to sexual transmitted infections (STIs) and is associated with adverse pregnancy outcomes. It remains unclear how specific vaginal aerobic and anaerobic bacteria affect health and disease. We selected different vaginal bacteria ranging from true commensals to species associated with dysbiosis and investigated their effects on activation of dendritic cells (DCs). Commensal Lactobacilli crispatus did not induce DC maturation nor led to production of pro-inflammatory cytokines. In contrast, BV-associated bacteria Megasphaera elsdenii and Prevotella timonensis induced DC maturation and increased levels of pro-inflammatory cytokines. Notably, DCs stimulated with Prevotella timonensis suppressed Th2 responses and induced Th1 skewing, typically associated with preterm birth. In contrast, Lactobacillus crispatus and Megasphaera elsdenii did not affect Th cell polarization. These results strongly indicate that the interaction of vaginal bacteria with mucosal DCs determines mucosal inflammation and we have identified the anaerobic bacterium Prevotella timonensis as a strong inducer of inflammatory responses. Specifically targeting these inflammation-inducing bacteria might be a therapeutic strategy to prevent BV and associated risks in STI susceptibility and preterm birth.

Protocol for a Longitudinal Analysis of the Vaginal Microbiome from a Pregnant Cohort of African Women in Nigeria

BACKGROUND

The vaginal microbiota is an important component of the reproductive health of women as it offers protection against urogenital infection. African women are reported to have a vaginal microbiota colonized with high proportions of strict anaerobes rather than lactobacillus- dominated microbes. These strict anaerobes have been associated with pre-term birth and neonatal disease. The prevalence of pre-term birth (PTB) in Africa poses a major challenge to reproductive healthcare, hence the clinical and scientific attention focused on understanding the causative mechanisms of PTB. A pragmatic approach to curbing PTB requires the identification of the vaginal microbiome during various stages of a healthy pregnancy (the 'normal'). This information will provide baseline data for future investigations of vaginal microbiome that may cause PTB (the 'abnormal'). We present a protocol for the longitudinal analysis of vaginal microbiome in a cohort of pregnant women in Southwest Nigeria.

METHODS

We propose to recruit 51 pregnant Nigerian women, enrolling them into the study at 17-21 gestational weeks. Two vaginal swab samples and three milliliters of blood would be collected at enrollment. Sample collection will be repeated at 27-31 weeks' gestation, ≥36 weeks' gestation, 24-48 hours after birth and 6 weeks post-partum. DNA will be extracted from the vaginal samples and 16S rRNA sequencing would be performed. Blood samples collected would be assayed by ELISA technique for placental steroid hormones. Data will be statistically analyzed and considered in the light of vaginal microbial diversity, clinical, nutrition and other health data.

CONCLUSION AND GLOBAL HEALTH IMPLICATION

Our data set will bring new insights into the vaginal microbiome of apparently healthy African women in pregnancy and postpartum, which should serve as a baseline for the investigation of vaginal microbes that may provide useful information for the prediction and management of preterm birth. It is anticipated that these data will facilitate future personalized therapeutic management and consequently improve the reproductive health fitness of women in Africa.

The vaginal and fecal microbiomes are related to pregnancy status in beef heifers

Background

The greatest impact on profitability of a commercial beef operation is reproduction. However, in beef heifers, little is known about the vaginal and fecal microbiota with respect to their relationship with fertility. To this end, we followed heifers through gestation to examine the dynamics of vaginal and fecal microbial composition throughout pregnancy.

Results

Heifers were exposed to an estrus synchronization protocol, observed over a 12-day period, artificially inseminated 12 h to 18 h after observed estrus, and subsequently exposed to bulls for a 50-day breeding season. Vaginal samples were taken at pre-breeding (n = 72), during the first (n = 72), and second trimester (n = 72) for all individuals, and third trimester for individuals with confirmed pregnancies (n = 56). Fecal samples were taken at pre-breeding (n = 32) and during the first trimester (n = 32), including bred and open individuals. Next generation sequencing of the V4 region of the16S rRNA gene via the Illumina MiSeq platform was applied to all samples. Shannon indices and the number of observed bacterial features were the same in fecal samples. However, significant differences in vaginal microbiome diversity between gestation stages were observed. No differences in beta-diversity were detected in vaginal or fecal samples regarding pregnancy status, but such differences were seen with fecal microbiome over time. Random Forest was developed to identify predictors of pregnancy status in vaginal (e.g., Histophilus, Clostridiaceae, Campylobacter) and fecal (e.g., Bacteroidales, Dorea) samples.

Conclusions

Our study shows that bovine vaginal and fecal microbiome could be used as biomarkers of bovine reproduction. Further experiments are needed to validate these biomarkers and to examine their roles in a female’s ability to establish pregnancy.