Skip to main content
Top
Published in: International Urogynecology Journal 12/2018

01-12-2018 | Original Article

The urinary microbiome in women with mixed urinary incontinence compared to similarly aged controls

Authors: Yuko M. Komesu, Holly E. Richter, Benjamin Carper, Darrell L. Dinwiddie, Emily S. Lukacz, Nazema Y. Siddiqui, Vivian W. Sung, Halina M. Zyczynski, Beri Ridgeway, Rebecca G. Rogers, Lily A. Arya, Donna Mazloomdoost, Marie G. Gantz, For the Pelvic Floor Disorders Network

Published in: International Urogynecology Journal | Issue 12/2018

Login to get access

Abstract

Introduction & hypothesis

Previous studies have suggested that women with urinary incontinence have an altered urinary microbiome. We hypothesized that the microbiome in women with mixed urinary incontinence (MUI) differed from controls and tested this hypothesis using bacterial gene sequencing techniques.

Methods

This multicenter study compared the urinary microbiome in women with MUI and similarly aged controls. Catheterized urine samples were obtained; v4–6 regions of the 16S rRNA gene were sequenced to identify bacteria. Bacterial predominance (> 50% of an individual’s genera) was compared between MUI and controls. Bacterial sequences were categorized into “community types” using Dirichlet multinomial mixture (DMM) methods. Generalized linear mixed models predicted MUI/control status based on clinical characteristics and community type. Post-hoc analyses were performed in women < 51 and ≥ 51 years. Sample size estimates required 200 samples to detect a 20% difference in Lactobacillus predominance with P < 0.05.

Results

Of 212 samples, 97.6% were analyzed (123 MUI/84 controls, mean age 53 ± 11 years). Overall Lactobacillus predominance did not differ between MUI and controls (45/123 = 36.6% vs. 36/84 = 42.9%, P = 0.36). DMM analyses revealed six community types; communities differed by age (P = 0.001). A High-Lactobacillus (89.2% Lactobacillus) community had a greater proportion of controls (19/84 = 22.6%, MUI 11/123 = 8.9%). Overall, bacterial community types did not differ in MUI and controls. However, post-hoc analysis of women < 51 years found that bacterial community types distinguished MUI from controls (P = 0.041); Moderate-Lactobacillus (aOR 7.78, CI 1.85–32.62) and Mixed (aOR 7.10, CI 1.32–38.10) community types were associated with MUI. Community types did not differentiate MUI and controls in women ≥ 51 years (P = 0.94).

Conclusions

Women with MUI and controls did not differ in overall Lactobacillus predominance. In younger women, urinary bacterial community types differentiated MUI from controls.
Appendix
Available only for authorised users
Literature
1.
go back to reference Minassian VA, Bazi T, Stewart WF. Clinical epidemiological insights into urinary incontinence. Int Urogynecol J. 2017;28:687–96.2.CrossRef Minassian VA, Bazi T, Stewart WF. Clinical epidemiological insights into urinary incontinence. Int Urogynecol J. 2017;28:687–96.2.CrossRef
2.
go back to reference Sung VW, Borello-France D, Dunivan G, et al. Methods for a multicenter randomized trial for mixed urinary incontinence: rationale and patient- centeredness of the ESTEEM trial. Int Urogynecol J. 2016;27:1479–90.CrossRef Sung VW, Borello-France D, Dunivan G, et al. Methods for a multicenter randomized trial for mixed urinary incontinence: rationale and patient- centeredness of the ESTEEM trial. Int Urogynecol J. 2016;27:1479–90.CrossRef
3.
go back to reference Brubaker L, Wolfe AJ. The female urinary microbiota/microbiome: clinical and research implications. Rambam Maimonides Med J 2017;8. Brubaker L, Wolfe AJ. The female urinary microbiota/microbiome: clinical and research implications. Rambam Maimonides Med J 2017;8.
4.
go back to reference Pearce MM, Hilt EE, Rosenfeld AB, et al. The female urinary microbiome: a comparison of women with and without urgency urinary incontinence. mBio. 2014;5:e01283–14.CrossRef Pearce MM, Hilt EE, Rosenfeld AB, et al. The female urinary microbiome: a comparison of women with and without urgency urinary incontinence. mBio. 2014;5:e01283–14.CrossRef
5.
go back to reference Thomas-White KJ, Hilt EE, Fok C, et al. Incontinence medication response relates to the female urinary microbiota. Int Urogynecol J. 2016;27:723–33.CrossRef Thomas-White KJ, Hilt EE, Fok C, et al. Incontinence medication response relates to the female urinary microbiota. Int Urogynecol J. 2016;27:723–33.CrossRef
6.
go back to reference Komesu YM, Richter HE, Dinwiddie DL, et al. Methodology for a vaginal and urinary microbiome study in women with mixed urinary incontinence. Int Urogynecol J. 2017;28:711–20.CrossRef Komesu YM, Richter HE, Dinwiddie DL, et al. Methodology for a vaginal and urinary microbiome study in women with mixed urinary incontinence. Int Urogynecol J. 2017;28:711–20.CrossRef
7.
go back to reference Shumaker SA, Wyman JF, Uebersax JS, McClish D, Fantl JA. Health-related quality of life measures for women with urinary incontinence: the incontinence impact questionnaire and the urogenital distress inventory. Continence program in women (CPW) research group. Qual Life Res. 1994;3:291–306.CrossRef Shumaker SA, Wyman JF, Uebersax JS, McClish D, Fantl JA. Health-related quality of life measures for women with urinary incontinence: the incontinence impact questionnaire and the urogenital distress inventory. Continence program in women (CPW) research group. Qual Life Res. 1994;3:291–306.CrossRef
8.
go back to reference Coyne KS, Margolis MK, Bavendam T, Roberts R, Elinoff V. Validation of a 3-item OAB awareness tool. Int J Clin Pract. 2011;65:219–24.CrossRef Coyne KS, Margolis MK, Bavendam T, Roberts R, Elinoff V. Validation of a 3-item OAB awareness tool. Int J Clin Pract. 2011;65:219–24.CrossRef
9.
go back to reference Sandvik H, Seim A, Vanvik A. Hunskaar S. A severity index for epidemiological surveys of female urinary incontinence: comparison with 48-hour pad-weighing tests. Neurourol Urodyn. 2000;19:137–45.CrossRef Sandvik H, Seim A, Vanvik A. Hunskaar S. A severity index for epidemiological surveys of female urinary incontinence: comparison with 48-hour pad-weighing tests. Neurourol Urodyn. 2000;19:137–45.CrossRef
10.
go back to reference Kumar PS, Brooker MR, Dowd SE, Camerlengo T. Target region selection is a critical determinant of community fingerprints generated by 16S pyrosequencing. PLoS One. 2011;6(6):e20956.CrossRef Kumar PS, Brooker MR, Dowd SE, Camerlengo T. Target region selection is a critical determinant of community fingerprints generated by 16S pyrosequencing. PLoS One. 2011;6(6):e20956.CrossRef
11.
go back to reference Wang Q, Garrity GM, Tiedje JM, Cole JR. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007;73(16):5261–7.CrossRef Wang Q, Garrity GM, Tiedje JM, Cole JR. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007;73(16):5261–7.CrossRef
12.
go back to reference Holmes I, Harris K, Quince C. Dirichlet multinomial mixtures: generative models for microbial metagenomics. PLoS On3. 2012;7(2):e30126.CrossRef Holmes I, Harris K, Quince C. Dirichlet multinomial mixtures: generative models for microbial metagenomics. PLoS On3. 2012;7(2):e30126.CrossRef
13.
go back to reference La Rosa PS, Brooks JP, Deych E, Boone EL, Edwards DJ, Wang Q, et al. Hypothesis testing and power calculations for taxonomic-based human Mcrobiome data. PLoS One. 2012;7(12):e52708. La Rosa PS, Brooks JP, Deych E, Boone EL, Edwards DJ, Wang Q, et al. Hypothesis testing and power calculations for taxonomic-based human Mcrobiome data. PLoS One. 2012;7(12):e52708.
14.
go back to reference Brotman RM, Shardel MD, Gajer P, Fadrosh D, Change K, Silver MI, et al. Association between the vaginal microbiota, menopause status and signs of vulvovaginal atrophy. Menopause. 2013;21(5):1–9. Brotman RM, Shardel MD, Gajer P, Fadrosh D, Change K, Silver MI, et al. Association between the vaginal microbiota, menopause status and signs of vulvovaginal atrophy. Menopause. 2013;21(5):1–9.
15.
go back to reference Whiteside SA, Razvi H, Dave S, Reid G, Burton JP. The microbiome of the urinary tract—a role beyond infection. Nat. RevUrol. 2015;12:81–90. Whiteside SA, Razvi H, Dave S, Reid G, Burton JP. The microbiome of the urinary tract—a role beyond infection. Nat. RevUrol. 2015;12:81–90.
16.
go back to reference Practice Bulletin No ACOG. 141: management of menopausal symptoms. Obstet Gynecol. 2014;123:202–16.CrossRef Practice Bulletin No ACOG. 141: management of menopausal symptoms. Obstet Gynecol. 2014;123:202–16.CrossRef
17.
go back to reference Minchin PR. An evaluation of the relative robustness of techniques for ecological ordination. Vegetatio. 1987;69:89–107.CrossRef Minchin PR. An evaluation of the relative robustness of techniques for ecological ordination. Vegetatio. 1987;69:89–107.CrossRef
18.
go back to reference Distance-based redundancy analysis: testing multispecies responses in multifactorial ecological experiments (vol 69, pg 1, 1999). Ecol Monogr. 1999;69:512–2. Distance-based redundancy analysis: testing multispecies responses in multifactorial ecological experiments (vol 69, pg 1, 1999). Ecol Monogr. 1999;69:512–2.
19.
go back to reference Anderson MJ. A new method for non-parametric multivariate analysis of variance. Austral Ecol. 2006;26:32–46. Anderson MJ. A new method for non-parametric multivariate analysis of variance. Austral Ecol. 2006;26:32–46.
20.
go back to reference Anderson MJ. Permutation tests for univariate or multivariate analysis of variance and regression. Can J Fish Aquat Sci. 2001;58:626–39.CrossRef Anderson MJ. Permutation tests for univariate or multivariate analysis of variance and regression. Can J Fish Aquat Sci. 2001;58:626–39.CrossRef
21.
go back to reference Curtiss N, Balachandran A, Krska L, Peppiatt-Wildman C, Wildman S, Duckett J. A case controlled study examining the bladder microbiome in women with overactive bladder (OAB) and healthy controls. Eur J Obstet Gynecol Reprod Biol. 2017;214:31–5.CrossRef Curtiss N, Balachandran A, Krska L, Peppiatt-Wildman C, Wildman S, Duckett J. A case controlled study examining the bladder microbiome in women with overactive bladder (OAB) and healthy controls. Eur J Obstet Gynecol Reprod Biol. 2017;214:31–5.CrossRef
22.
go back to reference Thomas-White KJ, Kliethermes S, Rickey L, et al. Evaluation of the urinary microbiota of women with uncomplicated stress urinary incontinence. Am J Obstet Gynecol 2017;216:55 e1–55 e16.CrossRef Thomas-White KJ, Kliethermes S, Rickey L, et al. Evaluation of the urinary microbiota of women with uncomplicated stress urinary incontinence. Am J Obstet Gynecol 2017;216:55 e1–55 e16.CrossRef
23.
go back to reference Karstens L, Asquith M, Davin S, Stauffer P, Fair D, Gregory WT, et al. Does the urinary microbiome play a role in urgency urinary incontinence and its severity? Front Cell Infect Microbiol. 2016;6(78):1–13. Karstens L, Asquith M, Davin S, Stauffer P, Fair D, Gregory WT, et al. Does the urinary microbiome play a role in urgency urinary incontinence and its severity? Front Cell Infect Microbiol. 2016;6(78):1–13.
24.
go back to reference Kroke A, Schulz M, Hoffman K, Bermann MM, Boeing H. Assignment to menopausal status and estimation of age at menopause for women with missing or invalid data—a probabilistic approach with weighting factors in a large-scale epidemiologic study. Maturitas. 2001;40:39–46.CrossRef Kroke A, Schulz M, Hoffman K, Bermann MM, Boeing H. Assignment to menopausal status and estimation of age at menopause for women with missing or invalid data—a probabilistic approach with weighting factors in a large-scale epidemiologic study. Maturitas. 2001;40:39–46.CrossRef
25.
go back to reference Harlow SD, Crawford SL, Sommer B, Greendale GA. Self-defined menopausal status in a multi-ethnic sample of midlife women. Maturitas. 2000;36:93–122.CrossRef Harlow SD, Crawford SL, Sommer B, Greendale GA. Self-defined menopausal status in a multi-ethnic sample of midlife women. Maturitas. 2000;36:93–122.CrossRef
Metadata
Title
The urinary microbiome in women with mixed urinary incontinence compared to similarly aged controls
Authors
Yuko M. Komesu
Holly E. Richter
Benjamin Carper
Darrell L. Dinwiddie
Emily S. Lukacz
Nazema Y. Siddiqui
Vivian W. Sung
Halina M. Zyczynski
Beri Ridgeway
Rebecca G. Rogers
Lily A. Arya
Donna Mazloomdoost
Marie G. Gantz
For the Pelvic Floor Disorders Network
Publication date
01-12-2018
Publisher
Springer London
Published in
International Urogynecology Journal / Issue 12/2018
Print ISSN: 0937-3462
Electronic ISSN: 1433-3023
DOI
https://doi.org/10.1007/s00192-018-3683-6

Other articles of this Issue 12/2018

International Urogynecology Journal 12/2018 Go to the issue