Long-term stability of the urogenital microbiota of asymptomatic European women

Anovaginal Colonization by Group B Streptococcus and Streptococcus anginosus among Pregnant Women in Brazil and Its Association with Clinical Features

Streptococcus agalactiae (Group B Streptococcus; GBS) is a leading cause of neonatal invasive disease worldwide. GBS can colonize the human gastrointestinal and genitourinary tracts, and the anovaginal colonization of pregnant women is the main source for neonatal infection. Streptococcus anginosus, in turn, can colonize the human upper respiratory, gastrointestinal, and genitourinary tracts but has rarely been observed causing disease. However, in the last years, S. anginosus has been increasingly associated with human infections, mainly in the bloodstream and gastrointestinal and genitourinary tracts. Although anovaginal screening for GBS is common during pregnancy, data regarding the anovaginal colonization of pregnant women by S. anginosus are still scarce. Here, we show that during the assessment of anovaginal GBS colonization rates among pregnant women living in Rio de Janeiro, Brazil, S. anginosus was also commonly detected, and S. anginosus isolates presented a similar colony morphology and color pattern to GBS in chromogenic media. GBS was detected in 48 (12%) while S. anginosus was detected in 17 (4.3%) of the 399 anovaginal samples analyzed. The use of antibiotics during pregnancy and history of urinary tract infections and sexually transmitted infections were associated with the presence of S. anginosus. In turn, previous preterm birth was associated with the presence of GBS (p < 0.05). The correlation of GBS and S. anginosus with relevant clinical features of pregnant women in Rio de Janeiro, Brazil, highlights the need for the further investigation of these important bacteria in relation to this special population.

Integrating compositional and functional content to describe vaginal microbiomes in health and disease

BACKGROUND

A Lactobacillus-dominated vaginal microbiome provides the first line of defense against adverse genital tract health outcomes. However, there is limited understanding of the mechanisms by which the vaginal microbiome modulates protection, as prior work mostly described its composition through morphologic assessment and marker gene sequencing methods that do not capture functional information. To address this gap, we developed metagenomic community state types (mgCSTs) which use metagenomic sequences to describe and define vaginal microbiomes based on both composition and functional potential.

RESULTS

MgCSTs are categories of microbiomes classified using taxonomy and the functional potential encoded in their metagenomes. MgCSTs reflect unique combinations of metagenomic subspecies (mgSs), which are assemblages of bacterial strains of the same species, within a microbiome. We demonstrate that mgCSTs are associated with demographics such as age and race, as well as vaginal pH and Gram stain assessment of vaginal smears. Importantly, these associations varied between mgCSTs predominated by the same bacterial species. A subset of mgCSTs, including three of the six predominated by Gardnerella vaginalis mgSs, as well as mgSs of L. iners, were associated with a greater likelihood of bacterial vaginosis diagnosed by Amsel clinical criteria. This L. iners mgSs, among other functional features, encoded enhanced genetic capabilities for epithelial cell attachment that could facilitate cytotoxin-mediated cell lysis. Finally, we report a mgSs and mgCST classifier for which source code is provided and may be adapted for use by the microbiome research community.

CONCLUSIONS

MgCSTs are a novel and easily implemented approach to reduce the dimension of complex metagenomic datasets while maintaining their functional uniqueness. MgCSTs enable the investigation of multiple strains of the same species and the functional diversity in that species. Future investigations of functional diversity may be key to unraveling the pathways by which the vaginal microbiome modulates the protection of the genital tract. Importantly, our findings support the hypothesis that functional differences between vaginal microbiomes, including those that may look compositionally similar, are critical considerations in vaginal health. Ultimately, mgCSTs may lead to novel hypotheses concerning the role of the vaginal microbiome in promoting health and disease, and identify targets for novel prognostic, diagnostic, and therapeutic strategies to improve women's genital health. Video Abstract.

Gardnerella pickettii sp. nov. (formerly Gardnerella genomic species 3) and Gardnerella greenwoodii sp. nov. (formerly Gardnerella genomic species 8) isolated from female urinary microbiome

During an ongoing female urinary microbiome research study, strains c17Ua_112T and c31Ua_26T isolated from urine samples of a patient diagnosed with overactive bladder and a healthy postmenopausal woman, respectively, could not be allocated to any Gardnerella species with valid names. In this work, we aimed to characterize these strains. The 16S rRNA gene sequences confirmed that these strains are members of the genus Gardnerella. Phylogenetic analysis based on cpn60 strongly supported two clades, one encompassing c17Ua_112T and nine other strains from the public database, and the other including c31Ua_26T and three other strains, which were distinct from currently recognized species of the genus Gardnerella. Likewise, the phylogenomic tree also showed that strains c17Ua_112T and c31Ua_26T formed independent and robust clusters. Average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values between c17Ua_112T and c31Ua_26T were 79.27 and 27.4 %, respectively. Strain c17Ua_112T showed the highest ANI (94.8 %) and dDDH values (59.8 %) with Gardnerella piotii UGent 18.01T, and strain c31Ua_26T revealed highest ANI (84.2 %) and dDDH (29.1 %) values with Gardnerella swidsinskii GS 9838-1T. Based on the data presented here, the two strains c17Ua_112T and c31Ua_26T represent two novel species of the genus Gardnerella, for which the names Gardnerella pickettii (c17Ua_112T=DSM 113414T=CCP 71T) and Gardnerella greenwoodii (c31Ua_26T=DSM 113415T=CCP 72T) are proposed.

Urinary microbiota and serum metabolite analysis in patients with diabetic kidney disease

Background

Diabetic kidney disease (DKD) is a common and potentially fatal consequence of diabetes. Chronic renal failure or end-stage renal disease may result over time. Numerous studies have demonstrated the function of the microbiota in health and disease. The use of advanced urine culture techniques revealed the presence of resident microbiota in the urinary tract, undermining the idea of urine sterility. Studies have demonstrated that the urine microbiota is related with urological illnesses; nevertheless, the fundamental mechanisms by which the urinary microbiota influences the incidence and progression of DKD remain unclear. The purpose of this research was to describe key characteristics of the patients with DKD urinary microbiota in order to facilitate the development of diagnostic and therapeutic for DKD.

Methods

We evaluated the structure and composition of the microbiota extracted from urine samples taken from DKD patients (n = 19) and matched healthy controls (n = 15) using 16S rRNA gene sequencing. Meanwhile, serum metabolite profiles were compared using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Associations between clinical characteristics, urine microbiota, and serum metabolites were also examined. Finally, the interaction between urine microbiota and serum metabolites was clarified based on differential metabolite abundance analysis.

Results

The findings indicated that the DKD had a distinct urinary microbiota from the healthy controls (HC). Taxonomic investigations indicated that the DKD microbiome had less alpha diversity than a control group. Proteobacteria and Acidobacteria phyla increased in the DKD, while Firmicutes and Bacteroidetes decreased significantly (P < 0.05). Acidobacteria was the most prevalent microbiota in the DKD, as determined by the Linear discriminant analysis Effect Size (LEfSe) plot. Changes in the urinary microbiota of DKD also had an effect on the makeup of metabolites. Short-chain fatty acids (SCFAs) and protein-bound uremic toxins (PBUTs) were shown to be specific. Then we discovered that arginine and proline metabolism was the primary mechanism involved in the regulation of diabetic kidney disease.

Conclusions

This study placed the urinary microbiota and serum metabolite of DKD patients into a functional framework and identified the most abundant microbiota in DKD (Proteobacteria and Acidobacteria). Arginine metabolites may have a major effect on DKD patients, which correlated with the progression of DKD.

High-resolution functional description of vaginal microbiomes in health and disease

Background

A Lactobacillus-dominated vaginal microbiome provides the first line of defense against numerous adverse genital tract health outcomes. However, there is limited understanding of the mechanisms by which the vaginal microbiome modulates protection, as prior work mostly described its composition through morphologic assessment and marker gene sequencing methods that do not capture functional information. To address this limitation, we developed metagenomic community state types (mgCSTs) which uses metagenomic sequences to describe and define vaginal microbiomes based on both composition and function.

Results

MgCSTs are categories of microbiomes classified using taxonomy and the functional potential encoded in their metagenomes. MgCSTs reflect unique combinations of metagenomic subspecies (mgSs), which are assemblages of bacterial strains of the same species, within a microbiome. We demonstrate that mgCSTs are associated with demographics such as age and race, as well as vaginal pH and Gram stain assessment of vaginal smears. Importantly, these associations varied between mgCSTs predominated by the same bacterial species. A subset of mgCSTs, including three of the six predominated by Gardnerella mgSs, as well as a mgSs of L. iners, were associated with a greater likelihood of Amsel bacterial vaginosis diagnosis. This L. iners mgSs, among other functional features, encoded enhanced genetic capabilities for epithelial cell attachment that could facilitate cytotoxin-mediated cell lysis. Finally, we report a mgSs and mgCST classifier as an easily applied, standardized method for use by the microbiome research community.

Conclusions

MgCSTs are a novel and easily implemented approach to reducing the dimension of complex metagenomic datasets, while maintaining their functional uniqueness. MgCSTs enable investigation of multiple strains of the same species and the functional diversity in that species. Future investigations of functional diversity may be key to unraveling the pathways by which the vaginal microbiome modulates protection to the genital tract. Importantly, our findings support the hypothesis that functional differences between vaginal microbiomes, including those that may look compositionally similar, are critical considerations in vaginal health. Ultimately, mgCSTs may lead to novel hypotheses concerning the role of the vaginal microbiome in promoting health and disease, and identify targets for novel prognostic, diagnostic, and therapeutic strategies to improve women's genital health.

Expanding the Bacterial Diversity of the Female Urinary Microbiome: Description of Eight New Corynebacterium Species

The genus Corynebacterium is frequently found in the female urinary microbiome (FUM). In-depth characterization of Corynebacterium at the species level has been barely exploited. During ongoing FUM research studies, eight strains (c8Ua_144^T, c8Ua_172^T, c8Ua_174^T, c8Ua_181^T, c9Ua_112^T, c19Ua_109^T, c19Ua_121^T, and c21Ua_68^T) isolated from urine samples of healthy women or diagnosed with overactive bladder could not be allocated to any valid Corynebacterium species. In this work, we aimed to characterize these strains based on a polyphasic approach. The strains were Gram stain positive, rod to coccoid shaped, nonmotile, catalase positive, and oxidase negative. Phylogenetic analysis based on 16S rRNA and rpoB gene sequences indicated that all strains belonged to the genus Corynebacterium. The average nucleotide identity and digital DNA-DNA hybridization values among the genomes of the above eight strains and closely related type strains of the Corynebacterium genus were <95 (74.1%-93.9%) and <70% (22.2%-56.5%), respectively. Mycolic acids were identified in all strains. MK-8(H2) and/or MK-9(H2) were identified as the major menaquinones. The polar lipids' pattern mostly consisted of diphosphatidylglycerol, phosphatidylglycerol, and glycophospholipids. The major fatty acid was C_18:1ω9c. Corynebacterium lehmanniae (c8Ua_144^T = DSM 113405^T = CCP 74^T), Corynebacterium meitnerae (c8Ua_172^T = DSM 113406^T = CCP 75^T), Corynebacterium evansiae (c8Ua_174^T = DSM 113407^T = CCP 76^T), Corynebacterium curieae (c8Ua_181^T = DSM 113408^T = CCP 77^T), Corynebacterium macclintockiae (c9Ua_112^T = DSM 113409^T = CCP 78^T), Corynebacterium hesseae (c19Ua_109^T = DSM 113410^T= CCP 79^T), Corynebacterium marquesiae (c19Ua_121^T = DSM 113411^T = CCP 80^T), and Corynebacterium yonathiae (c21Ua_68^T = DSM 113412^T = CCP 81^T) are proposed. This study evidenced that commonly used methodologies on FUM research presented limited resolution for discriminating Corynebacterium at the species level. Future research studying the biological mechanisms of the new Corynebacterium species here described may shed light on their possible beneficial role for healthy FUM.

Characterization of the GU microbiome in women with self-perceived bladder health over the life course

BACKGROUND

A variety of factors influence bladder health, including environmental factors, life experiences, biologic foundations, and coexistent medical conditions. A biologically diverse microbial community exists in the urine that is likely influenced by the microbial inhabitants of the vagina. The relationship between the genitourinary (GU) microbiome and self-perceived bladder health is unknown.

OBJECTIVE

To longitudinally define the GU microbiome in women with self-percieved bladder health sampled across multiple time points over a year.

STUDY DESIGN

Women with no reported lower urinary tract dysfunction or symptoms (LUTS) were recruited from six clinical sites and assessed every 6 weeks for 1 year. Voided urine and vaginal samples were longitudinally collected. Self-perceived bladder health was assessed with select items from the LURN comprehensive assessment of self-reported urinary symptoms (CASUS) tool. We defined four life phases as follows: young (18-34 years, nulliparous), midlife (35-45 years, menstruating), transitional (46-60 years, perimenopausal), mature (>60 years, not using vaginal and/or systemic hormone replacement therapy). DNA was extracted from samples, and the V4 region of the 16S rRNA gene was amplified with region-specific primers. The 16S rRNA sequencing on an Illumina NovaSeq. Microbial beta-diversity was calculated using DEICODE to identify microbial taxa that cluster in the samples. Longitudinal volatility analysis was performed using the gemelli plugin. Log-abundance ratios of microbial features were explored and visualized in Qurro.

RESULTS

Fifty-four (N = 16 young, N = 16 midlife, N = 15 transitional, N = 7 mature) women were enrolled and provided baseline data. Most women in each life phase (93%-98%) continued to report self-perceived bladder health throughout the 1-year follow-up as assessed by CASUS items. Temporal-based microbial diversity of urinary and vaginal microbiome remained relatively stable over 1 year in all subjects. The GU microbiomes of mature women were distinct and microbially diverse from that of young, midlife, and transitional women, with genera of Gardnerella, Cupriavidus, and Dialister contributory to the microbial features of the mature microbiome. The mature GU microbiome was statistically different (p < 0.0001) from the midlife, transitional, and young microbiome for the log ratio of Gardnerella and Cupriavidus (in the numerator) and Lactobacillus (in the denominator) for voided samples and Gardnerella and Dialister (in the numerator) and Lactobacillus (in the denominator) for vaginal samples. Differences in the GU microbiome were also demonstrated via longitudinal beta-diversity between women developing urinary frequency as reported by CASUS responses or objectively on bladder diary compared to women without urinary frequency.

CONCLUSION

In women with a self-perceived healthy bladder, the GU microbiome remained stable in all age groups over a 1 year period. Differences were seen with respect to life phase, where mature women were distinct from all other groups, and with respect to self-reported LUTS.

Urinary Microbiome of Reproductive-Age Asymptomatic European Women

The knowledge of bacterial species diversity within the female urinary microbiome (FUM) is essential for understanding the role of the FUM in urinary tract health and disease. This study aimed to characterize the bacterial species diversity of the FUM of asymptomatic reproductive-age European women by combining extended culturomics and long-read sequencing of the near-full-length 16S rRNA gene. A total of 297 bacterial species (median of 53 species/sample) were identified, yet only 22% of the species were detected by both culture and sequencing methods. Recently recognized Gardnerella, Lactobacillus, and Limosilactobacillus species and 5 new putative Corynebacterium species were identified by culturomics, while anaerobic species (e.g., 11 Peptoniphilus spp.) were mostly detected by amplicon sequencing. Notably, there was not a single species common to all samples, although members of the genus Lactobacillus were detected in all. Lactobacillus crispatus, Lactobacillus iners, and Lactobacillus mulieris were observed in high relative abundance in several samples, as well as other species (e.g., Streptococcus agalactiae, Fannyhessea vaginae, Gardnerella vaginalis, Gardnerella swidsinskii), while low-abundance members (e.g., Finegoldia magna) were often more prevalent. A moderate correlation (Mantel test; r = 0.5) between community structure types captured by culturomics and amplicon sequencing was observed, highlighting the benefit of combining both methodologies. This study provided a detailed FUM structure at the species level, which is critical to unveil the potential relationship between specific microbiome members and urinary diseases/disorders. Moreover, the different capacity to characterize microbiome profiles of culturomic and amplicon sequencing is described, providing valuable insights for further urinary microbiome studies. IMPORTANCE The bacterial species diversity within the female urinary microbiome (FUM) has been insufficiently characterized. This study demonstrated that complementarity between optimized culture-dependent and -independent approaches is highly beneficial for comprehensive FUM species profiling by detecting higher FUM species diversity than previously reported, including identification of unreported species belonging to the genera Lactobacillus, Limosilactobacillus, and Latilactobacillus and putative novel Corynebacterium species. Although some species were present in high relative abundance, low-abundance members were more prevalent. FUM classification into community structure types demonstrated high interindividual differences in urinary microbiome composition among asymptomatic women. We also report moderate correlation between culture-dependent and -independent derived data-highlighting drawbacks of each methodological approach. Our findings suggest that FUM bacterial diversity reported from previous studies may be underestimated. Finally, our results contribute to the fundamental knowledge of the FUM required for further exploration of the urinary microbiome role in urinary tract diseases.

Genomic diversity of genus Limosilactobacillus

The genus Limosilactobacillus (formerly Lactobacillus) contains multiple species considered to be adapted to vertebrates, yet their genomic diversity has not been explored. In this study, we performed comparative genomic analysis of Limosilactobacillus (22 species; 332 genomes) isolated from different niches, further focusing on human strains (11 species; 74 genomes) and their adaptation features to specific body sites. Phylogenomic analysis of Limosilactobacillus showed misidentification of some strains deposited in public databases and existence of putative novel Limosilactobacillus species. The pangenome analysis revealed a remarkable genomic diversity (only 1.3 % of gene clusters are shared), and we did not observe a strong association of the accessory genome with different niches. The pangenome of Limosilactobacillus reuteri and Limosilactobacillus fermentum was open, suggesting that acquisition of genes is still occurring. Although most Limosilactobacillus were predicted as antibiotic susceptible (83%), acquired antibiotic-resistance genes were common in L. reuteri from food-producing animals. Genes related to lactic acid isoform production (>95 %) and putative bacteriocins (70.2%) were identified in most Limosilactobacillus strains, while prophages (55.4%) and CRISPR-Cas systems (32.0%) were less prevalent. Among strains from human sources, several metabolic pathways were predicted as conserved and completed. Their accessory genome was highly variable and did not cluster according to different human body sites, with some exceptions (urogenital Limosilactobacillus vaginalis, Limosilactobacillus portuensis, Limosilactobacillus urinaemulieris and Limosilactobacillus coleohominis or gastrointestinal Limosilactobacillus mucosae). Moreover, we identified 12 Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologues that were significantly enriched in strains from particular body sites. We concluded that evolution of the highly diverse Limosilactobacillus is complex and not always related to niche or human body site origin.

Genomic insights into Lactobacillus gasseri and Lactobacillus paragasseri

Background

Antimicrobial and antifungal species are essential members of the healthy human microbiota. Several different species of lactobacilli that naturally inhabit the human body have been explored for their probiotic capabilities including strains of the species Lactobacillus gasseri. However, L. gasseri (identified by 16S rRNA gene sequencing) has been associated with urogenital symptoms. Recently a new sister taxon of L. gasseri was described: L. paragasseri. L. paragasseri is also posited to have probiotic qualities.

Methods

Here, we present a genomic investigation of all (n = 79) publicly available genome assemblies for both species. These strains include isolates from the vaginal tract, gastrointestinal tract, urinary tract, oral cavity, wounds, and lungs.

Results

The two species cannot be distinguished from short-read sequencing of the 16S rRNA as the full-length gene sequences differ only by two nucleotides. Based upon average nucleotide identity (ANI), we identified 20 strains deposited as L. gasseri that are in fact representatives of L. paragasseri. Investigation of the genic content of the strains of these two species suggests recent divergence and/or frequent gene exchange between the two species. The genomes frequently harbored intact prophage sequences, including prophages identified in strains of both species. To further explore the antimicrobial potential associated with both species, genome assemblies were examined for biosynthetic gene clusters. Gassericin T and S were identified in 46 of the genome assemblies, with all L. paragasseri strains including one or both bacteriocins. This suggests that the properties once ascribed to L. gasseri may better represent the L. paragasseri species.

Differential Urinary Microbiota Composition Between Women With and Without Recurrent Urinary Tract Infection

Background

Recurrent urinary tract infection (RUTI) is common and burdensome in women. Due to the low concentration or slow-growing of uropathogens in RUTI, standard urine cultures (SUCs) are often negative. Next-generation sequencing (NGS) of bacterial 16S rRNA gene is more sensitive and could be used to reveal the differential microbiota between patients with RUTI and asymptomatic controls.

Methods

Women (aged ≥ 18 years) with clinically diagnosed RUTI with negative SUC and age-matched women asymptomatic controls with normal urinalysis were enrolled. Their midstream voided urine specimens were collected and processed for NGS (Illumina MiSeq) targeting the bacterial 16S rRNA gene V3-V4 region. The dataset was clustered into operational taxonomic units (OTUs) using QIIME. Taxonomic analysis, alpha diversity, beta diversity, multivariate statistical analysis, and linear discriminant analysis effect size (LEfSe) for differential analysis were performed and compared between patients with RUTI and asymptomatic controls.

Results

A total of 90 patients with RUTI and 62 asymptomatic controls were enrolled in this study. Among them, 74.4% (67/90) and 71.0% (44/62) were successfully amplified and sequenced their bacterial 16S rRNA gene. In the alpha diversity analysis, the chao1 index and observed species index were significantly lower in the RUTI group than in the control group (P = 0.015 and 0.028, respectively). In the beta diversity analysis, there was a significant difference between the 2 groups [Analysis of similarities (ANOSIM), R = 0.209, P = 0.001]. The relative abundance of 36 bacterial taxa was significantly higher, and another 24 kinds of bacteria were significantly lower in the RUTI group compared with the control group [LEfSe analysis, P < 0.05, linear discriminative analysis (LDA) score > 3], suggesting that Ralstonia, Prevotella, Dialister, and Corynebacterium may play an important role in RUTI.

Conclusion

The urinary microbiota of women with clinically diagnosed RUTI were significantly different from age-matched asymptomatic controls.

Heat Stress Altered the Vaginal Microbiome and Metabolome in Rabbits

Heat stress can have an impact on parental gamete maturation and reproduction functions. According to current research, the microbial composition of the vaginal cavity is species specific. Pregnancy, menstruation, and genital diseases have been linked to the dynamics of vaginal ecology. In this study, we characterized the vaginal microbiota and metabolites after heat stress. At the phylum level, the rabbit’s vaginal microbial composition of rabbit showed high similarity with that of humans. In the Heat group, the relative abundance of the dominant microbiota Actinobacteria, Bacteroidetes, and Proteobacteria increased, while the relative abundance of Firmicutes decreased. Furthermore, heat stress significantly increased the relative abundance of W5053, Helcococcus, Thiopseudomonas, ldiomaarina, atopostipes, and facklamia, whereas the relative abundance of 12 genera significantly decreased, including Streptococcus, UCG-005, Alistipes, [Eubacterium]_xylanophilum_group, Comamonas, RB41, Fastidiosipila, Intestinimonas, Arthrobacter, Lactobacillus, Leucobacter, and Family_xlll_AD3011_group. Besides, the relative concentrations of 158 metabolites differed significantly between the Heat and Control groups. Among them, the endocrine hormone estradiol (E₂) increased in the Heat group and was positively associated with a number of metabolites such as linolelaidic acid (C18:2N6T), N-acetylsphingosine, N-oleoyl glycine, trans-petroselinic acid, syringic acid, 2-(1-adamantyl)-1-morpholinoethan-1-one, 5-OxoETE, and 16-heptadecyne-1,2,4-triol. Further, the majority of the differential metabolites were enriched in steroid biosynthesis and endocrine and other factor-regulated calcium reabsorption pathways, reflecting that heat stress may affect calcium metabolism, hormone-induced signaling, and endocrine balance of vaginal ecology. These findings provide a comprehensive depiction of rabbit vaginal ecology and reveal the effects of heat stress on the vagina via the analysis of vaginal microbiome and metabolome, which may provide a new thought for low female fertility under heat stress.

The Darkest Place Is under the Candlestick-Healthy Urogenital Tract as a Source of Worldwide Disseminated Extraintestinal Pathogenic Escherichia coli Lineages

Since the discovery of the urinary microbiome, including the identification of Escherichia coli in healthy hosts, its involvement in UTI development has been a subject of high interest. We explored the population diversity and antimicrobial resistance of E. coli (n = 22) in the urogenital microbiome of ten asymptomatic women (representing 50% of the sample tested). We evaluated their genomic relationship with extraintestinal pathogenic E. coli (ExPEC) strains from healthy and diseased hosts, including the ST131 lineage. E. coli prevalence was higher in vaginal samples than in urine samples, and occasionally different lineages were observed in the same individual. Furthermore, B2 was the most frequent phylogenetic group, with the most strains classified as ExPEC. Resistance to antibiotics of therapeutic relevance (e.g., amoxicillin-clavulanate conferred by blaTEM-30) was observed in ExPEC widespread lineages sequence types (ST) 127, ST131, and ST73 and ST95 clonal complexes. Phylogenomics of ST131 and other ExPEC lineages revealed close relatedness with strains from gastrointestinal tract and diseased host. These findings demonstrate that healthy urogenital microbiome is a source of potentially pathogenic and antibiotic resistant E. coli strains, including those causing UTI, e.g., ST131. Importantly, diverse E. coli lineages can be observed per individual and urogenital sample type which is relevant for future studies screening for this uropathogen.

Bladder Exposure to Gardnerella Activates Host Pathways Necessary for Escherichia coli Recurrent UTI

Recurrent urinary tract infections (rUTI) are a costly clinical problem affecting millions of women worldwide each year. The majority of rUTI cases are caused by uropathogenic Escherichia coli (UPEC). Data from humans and mouse models indicate that some instances of rUTI are caused by UPEC emerging from latent reservoirs in the bladder. Women with vaginal dysbiosis, typically characterized by high levels of Gardnerella and other anaerobes, are at increased risk of UTI. Multiple studies have detected Gardnerella in urine collected by transurethral catheterization (to limit vaginal contamination), suggesting that some women experience routine urinary tract exposures. We recently reported that inoculation of Gardnerella into the bladder triggers rUTI from UPEC bladder reservoirs in a mouse model. Here we performed whole bladder RNA-seq to identify host pathways involved in Gardnerella-induced rUTI. We identified a variety host pathways differentially expressed in whole bladders following Gardnerella exposure, such as pathways involved in inflammation/immunity and epithelial turnover. At the gene level, we identified upregulation of Immediate Early (IE) genes, which are induced in various cell types shortly following stimuli like infection and inflammation. One such upregulated IE gene was the orphan nuclear receptor Nur77 (aka Nr4a1). Pilot experiments in Nur77-/- mice suggest that Nur77 is necessary for Gardnerella exposure to trigger rUTI from UPEC reservoirs. These findings demonstrate that bladder gene expression can be impacted by short-lived exposures to urogenital bacteria and warrant future examination of responses in distinct cell types, such as with single cell transcriptomic technologies. The biological validation studies in Nur77-/- mice lay the groundwork for future studies investigating Nur77 and the Immediate Early response in rUTI.

Vaginal and Anal Microbiome during Chlamydia trachomatis Infections

Background.Chlamydia trachomatis (CT) is the agent of the most common bacterial sexually transmitted infection worldwide, with a significant impact on women's health. Despite the increasing number of studies about the vaginal microbiome in women with CT infections, information about the composition of the anal microbiome is still lacking. Here, we assessed the bacterial community profiles of vaginal and anal ecosystems associated or not with CT infection in a cohort of Caucasian young women. Methods. A total of 26 women, including 10 with a contemporary vaginal and ano-rectal CT infection, were enrolled. Composition of vaginal and anal microbiome was studied by 16S rRNA gene profiling. Co-occurrence networks of bacterial communities and metagenome metabolic functions were determined. Results. In case of CT infection, both vaginal and anal environments were characterized by a degree of dysbiosis. Indeed, the vaginal microbiome of CT-positive women were depleted in lactobacilli, with a significant increase in dysbiosis-associated bacteria (e.g., Sneathia, Parvimonas, Megasphaera), whereas the anal microbiota of CT-infected women was characterized by higher levels of Parvimonas and Pseudomonas and lower levels of Escherichia. Interestingly, the microbiome of anus and vagina had numerous bacterial taxa in common, reflecting a significant microbial 'sharing' between the two sites. In the vaginal environment, CT positively correlated with Ezakiella spp. while Gardnerella vaginalis co-occurred with several dysbiosis-related microbes, regardless of CT vaginal infection. The vaginal microbiome of CT-positive females exhibited a higher involvement of chorismate and aromatic amino acid biosynthesis, as well as an increase in mixed acid fermentation. Conclusions. These data could be useful to set up new diagnostic/prognostic tools, offering new perspectives for the control of chlamydial infections.