The gut, vaginal, and urine microbiome in overactive bladder: a systematic review.

INTRODUCTION AND HYPOTHESIS: The objective was to systemically review the current literature on the association of gut, vaginal, and urinary dysbiosis in female patients with overactive bladder (OAB). METHODS: We performed a comprehensive literature search following the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) protocols for systematic reviews. In the EMBASE, CINAHL, and Medline databases, a search was conducted using key words such as "microbiome," "microbiota," "microflora," "overactive bladder," "urge," "gut," "vaginal." Articles were screened using the online tool www.covidence.org . Two independent reviewers screened studies at each stage and resolved conflicts together. We excluded papers that discussed pediatric patients and animal studies. In total, 13 articles met this criterion, which included 6 abstracts. RESULTS: After identifying 817 unique references, 13 articles met the criteria for data extraction. Articles were published from 2017 to 2021. No study reported the same microbiota abundance, even in healthy individuals. Overall, there was a loss of bacterial diversity in OAB patients compared with controls. Additionally, the bacterial composition of the controls and OAB patients was not significantly different, especially if the urine was collected midstream. Overall, the composition of the microbiome is dependent on the specimen collection methodology, and the metagenomic sequencing technique utilized. OAB urine microbiome is more predisposed to alteration from the gut or vaginal influences than in controls. CONCLUSIONS: Current evidence suggested a potential relationship among gut, vaginal, and urinary microbiome in OAB patients, but there are very limited studies.

A cell-free DNA metagenomic sequencing assay that integrates the host injury response to infection.

High-throughput metagenomic sequencing offers an unbiased approach to identify pathogens in clinical samples. Conventional metagenomic sequencing, however, does not integrate information about the host, which is often critical to distinguish infection from infectious disease, and to assess the severity of disease. Here, we explore the utility of high-throughput sequencing of cell-free DNA (cfDNA) after bisulfite conversion to map the tissue and cell types of origin of host-derived cfDNA, and to profile the bacterial and viral metagenome. We applied this assay to 51 urinary cfDNA isolates collected from a cohort of kidney transplant recipients with and without bacterial and viral infection of the urinary tract. We find that the cell and tissue types of origin of urinary cfDNA can be derived from its genome-wide profile of methylation marks, and strongly depend on infection status. We find evidence of kidney and bladder tissue damage due to viral and bacterial infection, respectively, and of the recruitment of neutrophils to the urinary tract during infection. Through direct comparison to conventional metagenomic sequencing as well as clinical tests of infection, we find this assay accurately captures the bacterial and viral composition of the sample. The assay presented here is straightforward to implement, offers a systems view into bacterial and viral infections of the urinary tract, and can find future use as a tool for the differential diagnosis of infection.

A Community-Based Education Program for Overactive Bladder in a Predominantly Minority Older Female Population: A Pilot Study.

INTRODUCTION: Knowledge gaps regarding available treatment and social stigmatization are barriers to care in patients with overactive bladder (OAB). We assessed the feasibility of an OAB education program targeting older community-dwelling females. METHODS: Community-dwelling women over 55 years old were recruited. Eligible participants underwent an education program covering continence-promotion strategies. The Overactive Bladder Questionnaire-Short Form and Short Form-12 were completed at baseline, 1 week, 3 months, and 6 months post-intervention to measure symptom bother and condition-specific and general quality of life (QoL). Data were analyzed using a linear mixed-effects model for repeated measures. RESULTS: Thirty-seven female patients with OAB symptoms at baseline were assessed with the majority from Latino/Hispanic or Black/African American ethnic/racial backgrounds. For our youngest subgroup (≤68 years old), significant improvements were observed at 3 and 6 months compared to 1 week post-intervention for symptom bother (3 months, -22.75, p = 0.006; 6 months, -25.76; p = 0.001) and condition-specific and health-related QoL subscale scores for concern (3 months, +23.76, p = 0.006; 6 months, +22.15, p = 0.011) and social interaction (3 months, +21.11, p = 0.017; 6 months, +20.51; p = 0.021). For all age subgroups, improvements in general QoL measures for mental health were seen at 3 and 6 months compared to baseline (3 months, +7.57, p = 0.02; 6 months, +6.70; p = 0.048). CONCLUSIONS: Statistically significant improvements in symptom bother, condition-specific, and general QoL measures were observed following an OAB education program pilot study in a predominantly minority female population. Further studies are needed to support efficacy and optimize program design.

Gut microbiota dysbiosis and diarrhea in kidney transplant recipients.

Posttransplant diarrhea is associated with kidney allograft failure and death, but its etiology remains unknown in the majority of cases. Because altered gut microbial ecology is a potential basis for diarrhea, we investigated whether posttransplant diarrhea is associated with gut dysbiosis. We enrolled 71 kidney allograft recipients for serial fecal specimen collections in the first 3 months of transplantation and profiled the gut microbiota using 16S ribosomal RNA (rRNA) gene V4-V5 deep sequencing. The Shannon diversity index was significantly lower in 28 diarrheal fecal specimens from 25 recipients with posttransplant diarrhea than in 112 fecal specimens from 46 recipients without posttransplant diarrhea. We found a lower relative abundance of 13 commensal genera (Benjamini-Hochberg adjusted P ≤ .15) in the diarrheal fecal specimens including the same 4 genera identified in our prior study. The 28 diarrheal fecal specimens were also evaluated by a multiplexed polymerase chain reaction (PCR) assay for 22 bacterial, viral, and protozoan gastrointestinal pathogens, and 26 specimens were negative for infectious etiologies. Using PICRUSt (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) to predict metagenomic functions, we found that diarrheal fecal specimens had a lower abundance of metabolic genes. Our findings suggest that posttransplant diarrhea is not associated with common infectious diarrheal pathogens but with a gut dysbiosis.

Commensal Gut Bacteria Convert the Immunosuppressant Tacrolimus to Less Potent Metabolites.

Tacrolimus exhibits low and variable drug exposure after oral dosing, but the contributing factors remain unclear. Based on our recent report showing a positive correlation between fecal abundance of Faecalibacterium prausnitzii and oral tacrolimus dose in kidney transplant patients, we tested whether F. prausnitzii and other gut abundant bacteria are capable of metabolizing tacrolimus. Incubation of F. prausnitzii with tacrolimus led to production of two compounds (the major one named M1), which was not observed upon tacrolimus incubation with hepatic microsomes. Isolation, purification, and structure elucidation using mass spectrometry and nuclear magnetic resonance spectroscopy indicated that M1 is a C-9 keto-reduction product of tacrolimus. Pharmacological activity testing using human peripheral blood mononuclear cells demonstrated that M1 is 15-fold less potent than tacrolimus as an immunosuppressant. Screening of 22 gut bacteria species revealed that most Clostridiales bacteria are extensive tacrolimus metabolizers. Tacrolimus conversion to M1 was verified in fresh stool samples from two healthy adults. M1 was also detected in the stool samples from kidney transplant recipients who had been taking tacrolimus orally. Together, this study presents gut bacteria metabolism as a previously unrecognized elimination route of tacrolimus, potentially contributing to the low and variable tacrolimus exposure after oral dosing.

A Distinct Nasal Microbiota Signature in Peritoneal Dialysis Patients.

Rationale & Objective: The nasal passages harbor both commensal and pathogenic bacteria. In this study, we sought to characterize the anterior nasal microbiota in PD patients using 16S rRNA gene sequencing. Study Design: Cross-sectional. Setting & Participants: We recruited 32 PD patients, 37 kidney transplant (KTx) recipients, 22 living donor/healthy control (HC) participants and collected anterior nasal swabs at a single point in time. Predictors: We performed 16S rRNA gene sequencing of the V4-V5 hypervariable region to determine the nasal microbiota. Outcomes: Nasal microbiota profiles were determined at the genus level as well as the amplicon sequencing variant level. Analytical Approach: We compared nasal abundance of common genera among the 3 groups using Wilcoxon rank sum testing with Benjamini-Hochberg adjustment. DESeq2 was also utilized to compare the groups at the ASV levels. Results: In the entire cohort, the most abundant genera in the nasal microbiota included: Staphylococcus, Corynebacterium, Streptococcus , and Anaerococcus . Correlational analyses revealed a significant inverse relationship between the nasal abundance of Staphylococcus and that of Corynebacterium . PD patients have a higher nasal abundance of Streptococcus than KTx recipients and HC participants. PD patients have a more diverse representation of Staphylococcus and Streptococcus than KTx recipients and HC participants. PD patients who concurrently have or who developed future Staphylococcus peritonitis had a numerically higher nasal abundance of Staphylococcus than PD patients who did not develop Staphylococcus peritonitis. Limitations: 16S RNA gene sequencing provides taxonomic information to the genus level. Conclusions: We find a distinct nasal microbiota signature in PD patients compared to KTx recipients and HC participants. Given the potential relationship between the nasal pathogenic bacteria and infectious complications, further studies are needed to define the nasal microbiota associated with these infectious complications and to conduct studies on the manipulation of the nasal microbiota to prevent such complications.

Kidney Allograft Function Is a Confounder of Urine Metabolite Profiles in Kidney Allograft Recipients.

Noninvasive biomarkers of kidney allograft status can help minimize the need for standard of care kidney allograft biopsies. Metabolites that are measured in the urine may inform about kidney function and health status, and potentially identify rejection events. To test these hypotheses, we conducted a metabolomics study of biopsy-matched urine cell-free supernatants from kidney allograft recipients who were diagnosed with two major types of acute rejections and no-rejection controls. Non-targeted metabolomics data for 674 metabolites and 577 unidentified molecules, for 192 biopsy-matched urine samples, were analyzed. Univariate and multivariate analyses identified metabolite signatures for kidney allograft rejection. The replicability of a previously developed urine metabolite signature was examined. Our study showed that metabolite profiles can serve as biomarkers for discriminating rejection biopsies from biopsies without rejection features, but also revealed a role of estimated Glomerular Filtration Rate (eGFR) as a major confounder of the metabolite signal.

Separating the signal from the noise in metagenomic cell-free DNA sequencing.

BACKGROUND: Cell-free DNA (cfDNA) in blood, urine, and other biofluids provides a unique window into human health. A proportion of cfDNA is derived from bacteria and viruses, creating opportunities for the diagnosis of infection via metagenomic sequencing. The total biomass of microbial-derived cfDNA in clinical isolates is low, which makes metagenomic cfDNA sequencing susceptible to contamination and alignment noise. RESULTS: Here, we report low biomass background correction (LBBC), a bioinformatics noise filtering tool informed by the uniformity of the coverage of microbial genomes and the batch variation in the absolute abundance of microbial cfDNA. We demonstrate that LBBC leads to a dramatic reduction in false positive rate while minimally affecting the true positive rate for a cfDNA test to screen for urinary tract infection. We next performed high-throughput sequencing of cfDNA in amniotic fluid collected from term uncomplicated pregnancies or those complicated with clinical chorioamnionitis with and without intra-amniotic infection. CONCLUSIONS: The data provide unique insight into the properties of fetal and maternal cfDNA in amniotic fluid, demonstrate the utility of cfDNA to screen for intra-amniotic infection, support the view that the amniotic fluid is sterile during normal pregnancy, and reveal cases of intra-amniotic inflammation without infection at term. Video abstract.

Identification of Antibiotic Administration as a Potentially Novel Factor Associated With Tacrolimus Trough Variability in Kidney Transplant Recipients: A Preliminary Study.

Tacrolimus trough variability is an important risk factor for kidney allograft outcomes. Recent evidence suggests that the gut microbiota is associated with tacrolimus dosing requirements and direct metabolism of tacrolimus. We hypothesize that administration of antibiotics, which are known to alter the gut microbiota, is associated with tacrolimus trough variability. METHODS: We conducted a retrospective chart review of subjects who received kidney transplants at our institution from 2012 to 2013 and evaluated subjects who received antibiotics during the first month of transplantation (Abx Group, N = 60) and subjects who did not (No Abx Group, N = 200). We evaluated whether antibiotic administration in the Abx Group had increased tacrolimus trough concentrations and concentration over tacrolimus dosage (C/D) after antibiotic administration. We also evaluated tacrolimus variability as measured by standard deviation (SD) and coefficient of variation between the Abx Group and No Abx Group. RESULTS: In the Abx Group, tacrolimus trough concentration over tacrolimus dosage (C/D) increased 7 and 15 days after antibiotic administration (P = 0.001, P = 0.07, respectively, Wilcoxon signed-rank test). From postoperative day 31-45, the variability in tacrolimus trough levels in the Abx Group as measured by SD and coefficient of variation was significantly higher than the variability in the No Abx Group (P = 0.03, P = 0.02, Wilcoxon rank sum test, respectively). CONCLUSIONS: Our identification of antibiotic administration as a potentially new risk factor for tacrolimus trough variability suggests the need to carefully follow tacrolimus trough levels after antibiotic administration.

Gut uropathogen abundance is a risk factor for development of bacteriuria and urinary tract infection.

The origin of most bacterial infections in the urinary tract is often presumed to be the gut. Herein, we investigate the relationship between the gut microbiota and future development of bacteriuria and urinary tract infection (UTI). We perform gut microbial profiling using 16S rRNA gene deep sequencing on 510 fecal specimens from 168 kidney transplant recipients and metagenomic sequencing on a subset of fecal specimens and urine supernatant specimens. We report that a 1% relative gut abundance of Escherichia is an independent risk factor for Escherichia bacteriuria and UTI and a 1% relative gut abundance of Enterococcus is an independent risk factor for Enterococcus bacteriuria. Strain analysis establishes a close strain level alignment between species found in the gut and in the urine in the same subjects. Our results support a gut microbiota-UTI axis, suggesting that modulating the gut microbiota may be a potential novel strategy to prevent UTIs.

Urine biomarkers informative of human kidney allograft rejection and tolerance.

We developed urinary cell messenger RNA (mRNA) profiling to monitor in vivo status of human kidney allografts based on our conceptualization that the kidney allograft may function as an in vivo flow cell sorter allowing access of graft infiltrating cells to the glomerular ultrafiltrate and that interrogation of urinary cells is informative of allograft status. For the profiling urinary cells, we developed a two-step preamplification enhanced real-time quantitative PCR (RT-QPCR) assays with a customized amplicon; preamplification compensating for the low RNA yield from urine and the customized amplicon facilitating absolute quantification of mRNA and overcoming the inherent limitations of relative quantification widely used in RT-QPCR assays. Herein, we review our discovery and validation of urinary cell mRNAs as noninvasive biomarkers prognostic and diagnostic of acute cellular rejection (ACR) in kidney allografts. We summarize our results reflecting the utility of urinary cell mRNA profiling for predicting reversal of ACR with anti-rejection therapy; differential diagnosis of kidney allograft dysfunction; and noninvasive diagnosis and prognosis of BK virus nephropathy. Messenger RNA profiles associated with human kidney allograft tolerance are also summarized in this review. Altogether, data supporting the idea that urinary cell mRNA profiles are informative of kidney allograft status and tolerance are reviewed in this report.

Urinary cell-free DNA is a versatile analyte for monitoring infections of the urinary tract.

Urinary tract infections are one of the most common infections in humans. Here we tested the utility of urinary cell-free DNA (cfDNA) to comprehensively monitor host and pathogen dynamics in bacterial and viral urinary tract infections. We isolated cfDNA from 141 urine samples from a cohort of 82 kidney transplant recipients and performed next-generation sequencing. We found that urinary cfDNA is highly informative about bacterial and viral composition of the microbiome, antimicrobial susceptibility, bacterial growth dynamics, kidney allograft injury, and host response to infection. These different layers of information are accessible from a single assay and individually agree with corresponding clinical tests based on quantitative PCR, conventional bacterial culture, and urinalysis. In addition, cfDNA reveals the frequent occurrence of pathologies that remain undiagnosed with conventional diagnostic protocols. Our work identifies urinary cfDNA as a highly versatile analyte to monitor infections of the urinary tract.