The female urinary microbiome: a comparison of women with and without urgency urinary incontinence

Meghan M Pearce, Evann E Hilt, Amy B Rosenfeld, Michael J Zilliox, Krystal Thomas-White, Cynthia Fok, Stephanie Kliethermes, Paul C Schreckenberger, Linda Brubaker, Xiaowu Gai, Alan J Wolfe, Meghan M Pearce, Evann E Hilt, Amy B Rosenfeld, Michael J Zilliox, Krystal Thomas-White, Cynthia Fok, Stephanie Kliethermes, Paul C Schreckenberger, Linda Brubaker, Xiaowu Gai, Alan J Wolfe

Abstract

Bacterial DNA and live bacteria have been detected in human urine in the absence of clinical infection, challenging the prevailing dogma that urine is normally sterile. Urgency urinary incontinence (UUI) is a poorly understood urinary condition characterized by symptoms that overlap urinary infection, including urinary urgency and increased frequency with urinary incontinence. The recent discovery of the urinary microbiome warrants investigation into whether bacteria contribute to UUI. In this study, we used 16S rRNA gene sequencing to classify bacterial DNA and expanded quantitative urine culture (EQUC) techniques to isolate live bacteria in urine collected by using a transurethral catheter from women with UUI and, in comparison, a cohort without UUI. For these cohorts, we demonstrated that the UUI and non-UUI urinary microbiomes differ by group based on both sequence and culture evidences. Compared to the non-UUI microbiome, sequencing experiments revealed that the UUI microbiome was composed of increased Gardnerella and decreased Lactobacillus. Nine genera (Actinobaculum, Actinomyces, Aerococcus, Arthrobacter, Corynebacterium, Gardnerella, Oligella, Staphylococcus, and Streptococcus) were more frequently cultured from the UUI cohort. Although Lactobacillus was isolated from both cohorts, distinctions existed at the species level, with Lactobacillus gasseri detected more frequently in the UUI cohort and Lactobacillus crispatus most frequently detected in controls. Combined, these data suggest that potentially important differences exist in the urinary microbiomes of women with and without UUI, which have strong implications in prevention, diagnosis, or treatment of UUI. Importance: New evidence indicates that the human urinary tract contains microbial communities; however, the role of these communities in urinary health remains to be elucidated. Urgency urinary incontinence (UUI) is a highly prevalent yet poorly understood urinary condition characterized by urgency, frequency, and urinary incontinence. Given the significant overlap of UUI symptoms with those of urinary tract infections, it is possible that UUI may have a microbial component. We compared the urinary microbiomes of women affected by UUI to those of a comparison group without UUI, using both high-throughput sequencing and extended culture techniques. We identified statistically significant differences in the frequency and abundance of bacteria present. These differences suggest a potential role for the urinary microbiome in female urinary health.

Trial registration: ClinicalTrials.gov NCT01642277.

Copyright © 2014 Pearce et al.

Figures

FIG 1
FIG 1
Urinary microbiome profile by cohort based on 16S rRNA gene V4 sequencing. Stacked bar plots depict the sequence abundances of the 15 most abundant genus- or family-level taxa in the UUI and non-UUI cohorts. Taxa were ranked according to mean abundance across all samples. The y axis represents the percentage of sequences for a particular bacterial taxa; the x axis represents the study participants separated by cohort. The family Enterobacteriaceae could not be classified to the genus level. The remainder of sequences were combined in the category labeled Other.
FIG 2
FIG 2
Clustering of the urinary microbiome into urotypes. The dendrogram was based on hierarchical clustering of the Euclidean distance between samples in the combined UUI and non-UUI cohorts. The dashed line depicts where the clades were divided into 6 urotypes: Gardnerella, Sneathia, Diverse, Staphylococcus, Enterobacteriaceae, and Lactobacillus. The stacked bar plot below the dendrogram depicts the sequence abundances of the overall most abundant taxa.
FIG 3
FIG 3
Comparison of sequence-based urinary microbiome by cohort. The frequency (A) and median sequence abundance (B) of the overall most abundant taxa detected by sequencing were calculated. The families Enterobacteriaceae, Lachnospiraceae, and Ruminococcaceae could not be classified to the genus level. In panel A, a combination of Pearson chi-square and Fisher’s exact tests was used to compare the frequency of genera detected by sequencing between the cohorts. “*” represents a P value of <0.05. In panel B, a Wilcoxon rank sum test was used to compare the median sequence abundances between the cohorts. IQR, interquartile range. “*” represents P values of <0.05.
FIG 4
FIG 4
Rarefaction curves of the cultured bacterial species by cohort. The plot depicts the number of species cultured via EQUC by the number of urine samples assayed.
FIG 5
FIG 5
Genus-level comparison of cultured urinary microbiota by cohort. The Pearson chi-square and Fisher’s exact tests were used to compare the frequencies of the genera isolated from urine via EQUC. *, P <0.05; **, P < 0.001.
FIG 6
FIG 6
Species-level comparison of cultured urinary microbiota by cohort. The Pearson chi-square and Fisher’s exact tests were used to compare the frequencies of the species isolated from urine via EQUC. *, P < 0.05; **, P  < 0.01.
FIG 7
FIG 7
Comparison of taxa detected by 16S rRNA gene sequencing and EQUC. (A) Comparison of sequence status and EQUC status for the 52 urine samples that were assayed by both methods. (B) Comparison of the taxa detected by sequencing and culture of the sequence-positive, EQUC-positive urine samples (n = 30). Each square was color coded based on whether the taxa were detected by sequence only (green), EQUC only (red), sequence and EQUC (yellow), or neither sequence nor EQUC (gray).

References

    1. Wolfe AJ, Toh E, Shibata N, Rong R, Kenton K, Fitzgerald M, Mueller ER, Schreckenberger P, Dong Q, Nelson DE, Brubaker L. 2012. Evidence of uncultivated bacteria in the adult female bladder. J. Clin. Microbiol. 50:1376–1383. 10.1128/JCM.05852-11
    1. Brubaker L, Nager CW, Richter HE, Visco A, Nygaard I, Barber MD, Schaffer J, Meikle S, Wallace D, Shibata N, Wolfe AJ. Urinary bacteria in adult women with urgency urinary incontinence. Int. Urogynecol. J., in press
    1. Fouts DE, Pieper R, Szpakowski S, Pohl H, Knoblach S, Suh MJ, Huang ST, Ljungberg I, Sprague BM, Lucas SK, Torralba M, Nelson KE, Groah SL. 2012. Integrated next-generation sequencing of 16S rDNA and metaproteomics differentiate the healthy urine microbiome from asymptomatic bacteriuria in neuropathic bladder associated with spinal cord injury. J. Transl. Med. 10:174. 10.1186/1479-5876-10-174
    1. Hilt EE, McKinley K, Pearce MM, Rosenfeld AB, Zilliox MJ, Mueller ER, Brubaker L, Gai X, Wolfe AJ, Schreckenberger PC. 2014. Urine is not sterile: use of enhanced urine culture techniques to detect resident bacterial flora in the adult female bladder. J. Clin. Microbiol. 52:871–876. 10.1128/JCM.02876-13
    1. Khasriya R, Sathiananthamoorthy S, Ismail S, Kelsey M, Wilson M, Rohn JL, Malone-Lee J. 2013. Spectrum of bacterial colonization associated with urothelial cells from patients with chronic lower urinary tract symptoms. J. Clin. Microbiol. 51:2054–2062. 10.1128/JCM.03314-12
    1. Riesenfeld CS, Schloss PD, Handelsman J. 2004. Metagenomics: genomic analysis of microbial communities. Annu. Rev. Genet. 38:525–552. 10.1146/annurev.genet.38.072902.091216
    1. Nitti VW, Kopp Z, Lin AT, Moore KH, Oefelein M, Mills IW. 2010. Can we predict which patient will fail drug treatment for overactive bladder? A think tank discussion. Neurourol. Urodyn. 29:652–657. 10.1002/nau.20910
    1. Hartmann KE, McPheeters ML, Biller DH, Ward RM, McKoy JN, Jerome RN, Micucci SR, Meints L, Fisher JA, Scott TA, Slaughter JC, Blume JD. August 2009. Treatment of overactive bladder in women. Evidence report/technological assessment no. 187. (Prepared by the Vanderbilt Evidence-based Practice Center under Contract No. 290-2007-10065-I.) AHRQ publication no. 09-E017 Agency for Healthcare Research and Quality, Rockville, MD
    1. Haylen BT, de Ridder D, Freeman RM, Swift SE, Berghmans B, Lee J, Monga A, Petri E, Rizk DE, Sand PK, Schaer GN, International Urogynecological Association. International Continence Society 2010. An International Urogynecological Association (IUGA)/international Continence Society (ICS) joint report on the terminology for female pelvic floor dysfunction. Neurourol. Urodyn. 29:4–20. 10.1007/s00192-009-0976-9
    1. Coyne KS, Wein A, Nicholson S, Kvasz M, Chen CI, Milsom I. 2014. Economic burden of urgency urinary incontinence in the United States: a systematic review. J. Manag. Care Pharm. 20:130–140
    1. Redondo-Lopez V, Cook RL, Sobel JD. 1990. Emerging role of lactobacilli in the control and maintenance of the vaginal bacterial microflora. Rev. Infect. Dis. 12:856–872. 10.1093/clinids/12.5.856
    1. Kaewsrichan J, Peeyananjarassri K, Kongprasertkit J. 2006. Selection and identification of anaerobic lactobacilli producing inhibitory compounds against vaginal pathogens. FEMS Immunol. Med. Microbiol. 48:75–83. 10.1111/j.1574-695X.2006.00124.x
    1. Hyman RW, Fukushima M, Diamond L, Kumm J, Giudice LC, Davis RW. 2005. Microbes on the human vaginal epithelium. Proc. Natl. Acad. Sci. U. S. A. 102:7952–7957. 10.1073/pnas.0503236102
    1. Harwich MD, Jr, Alves JM, Buck GA, Strauss JF, III, Patterson JL, Oki AT, Girerd PH, Jefferson KK. 2010. Drawing the line between commensal and pathogenic Gardnerella vaginalis through genome analysis and virulence studies. BMC Genomics 11:375. 10.1186/1471-2164-11-375
    1. Zimmermann P, Berlinger L, Liniger B, Grunt S, Agyeman P, Ritz N. 2012. Actinobaculum schaalii an emerging pediatric pathogen? BMC Infect. Dis. 12:201. 10.1186/1471-2334-12-201
    1. Bank S, Jensen A, Hansen TM, Søby KM, Prag J. 2010. Actinobaculum schaalii, a common uropathogen in elderly patients, Denmark. Emerg. Infect. Dis. 16:76–80. 10.3201/eid1601.090761
    1. Rasmussen M. 2013. Aerococci and aerococcal infections. J. Infect. 66:467–474. 10.1016/j.jinf.2012.12.006
    1. Dabkowski J, Dodds P, Hughes K, Bush M. 2013. A persistent, symptomatic urinary tract infection with multiple “negative” urine cultures. Conn. Med. 77:27–29
    1. Funke G, Pagano-Niederer M, Sjödén B, Falsen E. 1998. Characteristics of Arthrobacter cumminsii, the most frequently encountered Arthrobacter species in human clinical specimens. J. Clin. Microbiol. 36:1539–1543
    1. Ravel J, Gajer P, Abdo Z, Schneider GM, Koenig SS, McCulle SL, Karlebach S, Gorle R, Russell J, Tacket CO, Brotman RM, Davis CC, Ault K, Peralta L, Forney LJ. 2011. Vaginal microbiome of reproductive-age women. Proc. Natl. Acad. Sci. U. S. A. 108:4680–4687. 10.1073/pnas.1002611107
    1. O’Hara AM, Shanahan F. 2006. The gut flora as a forgotten organ. EMBO Rep. 7:688–693. 10.1038/sj.embor.7400731
    1. Microbiome Human Project 2012. Structure, function and diversity of the healthy human microbiome. Nature 486:207–214. 10.1038/nature11234
    1. Grice EA, Kong HH, Conlan S, Deming CB, Davis J, Young AC, Bouffard GG, Blakesley RW, Murray PR, Green ED, Turner ML, Segre JA. 2009. Topographical and temporal diversity of the human skin microbiome. Science 324:1190–1192. 10.1126/science.1171700
    1. Dong Q, Brulc JM, Iovieno A, Bates B, Garoutte A, Miller D, Revanna KV, Gao X, Antonopoulos DA, Slepak VZ, Shestopalov VI. 2011. Diversity of bacteria at healthy human conjunctiva. Invest. Ophthalmol. Vis. Sci. 52:5408–5413. 10.1167/iovs.10-6939
    1. Chang JY, Antonopoulos DA, Kalra A, Tonelli A, Khalife WT, Schmidt TM, Young VB. 2008. Decreased diversity of the fecal microbiome in recurrent Clostridium difficile-associated diarrhea. J. Infect. Dis. 197:435–438. 10.1086/525047
    1. Liu MB, Xu SR, He Y, Deng GH, Sheng HF, Huang XM, Ouyang CY, Zhou HW. 2013. Diverse vaginal microbiomes in reproductive-age women with vulvovaginal candidiasis. PLoS One 8:e79812. 10.1371/journal.pone.0079812
    1. Barber MD, Kuchibhatla MN, Pieper CF, Bump RC. 2001. Psychometric evaluation of 2 comprehensive condition-specific quality of life instruments for women with pelvic floor disorders. Am. J. Obstet. Gynecol. 185:1388–1395. 10.1067/mob.2001.118659
    1. Uebersax JS, Wyman JF, Shumaker SA, McClish DK, Fantl JA. 1995. Short forms to assess life quality and symptom distress for urinary incontinence in women: the Incontinence Impact Questionnaire and the urogenital Distress Inventory. Continence Programs Women Research Group. Neurourol. Urodyn. 14:131–139
    1. Coyne K, Revicki D, Hunt T, Corey R, Stewart W, Bentkover J, Kurth H, Abrams P. 2002. Psychometric validation of an overactive bladder symptom and health-related quality of life questionnaire: the OAB-q. Qual. Life Res. 11:563–574. 10.1023/A:1016370925601
    1. Yuan S, Cohen DB, Ravel J, Abdo Z, Forney LJ. 2012. Evaluation of methods for the extraction and purification of DNA from the human microbiome. PLoS One 7:e33865. 10.1371/journal.pone.0033865
    1. Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, Van Horn DJ, Weber CF. 2009. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl. Environ. Microbiol. 75:7537–7541. 10.1128/AEM.01541-09
    1. Kozich JJ, Westcott SL, Baxter NT, Highlander SK, Schloss PD. 2013. Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl. Environ. Microbiol. 79:5112–5120. 10.1128/AEM.01043-13
    1. Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R. 2011. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27:2194–2200. 10.1093/bioinformatics/btr381
    1. Wang Q, Garrity GM, Tiedje JM, Cole JR. 2007. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73:5261–5267. 10.1128/AEM.00062-07
    1. Arndt D, Xia J, Liu Y, Zhou Y, Guo AC, Cruz JA, Sinelnikov I, Budwill K, Nesbø CL, Wishart DS. 2012. METAGENassist: a comprehensive web server for comparative metagenomics. Nucleic Acids Res. 40:W88–W95. 10.1093/nar/gkr734
    1. R Development Core Team 2014. R: a language and environment for statistical computing. R Foundation for Statistical Computing

Source: PubMed

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