245/250) 24MANUSCRIPT: (5000/5000) 25 ACKNOWLEDGMENTS: We thank Mary Tulke RN for her assistance with participant 35 recruitment. We also acknowledge funding from NIH (R01 DK104718 awarded to AJW 36and LB). The funders did not play a part in the design or conduct of the study. 37 TKP, BW, LB, ERM, and AJW designed the study. TKP and BW recruited participants.
38TKP processed the specimens. TH prepared them for DNA sequencing. RL sequenced 39 the specimens. TKP, BW, QD and AJW analyzed the data. TKP and AJW wrote the 40 manuscript. TKP, BW, TH, RL, LB, QD, ERM, and AJW reviewed and edited the 41 manuscript. 42 43
ABSTRACT 59Temporal dynamics of certain human microbiotas have been described in 60 longitudinal studies; variability often relates to modifiable factors or behaviors. Early 61 studies of the urinary microbiota preferentially used samples obtained by transurethral 62 catheterization to minimize vulvo-vaginal microbial contributions. Whereas voided 63 specimens are preferred for longitudinal studies, the few studies that reported 64 longitudinal data were limited to women with lower urinary tract (LUT) symptoms, due to 65 ease of accessing a clinical population for sampling and the impracticality and risk of 66 collecting repeated catheterized urine specimens in a non-clinical population. Here, we 67 studied the microbiota of the LUT of non-symptomatic, pre-menopausal women using 68 mid-stream voided urine (MSU) specimens to investigate relationships between 69 microbial dynamics and personal factors. Using 16S rRNA gene sequencing and a 70 metaculturomics method called Expanded Quantitative Urine Culture (EQUC), we 71 characterized the microbiotas of MSU and peri-urethral swab specimens collected daily 72 for approximately three months from a small cohort of adult women. Participants were 73 screened for eligibility, including ability to self-collect paired urogenital specimens prior 74 to enrollment. In this population, we found that measures of microbial dynamics related 75 to specific participant-reported factors, particularly menstruation and vaginal 76intercourse. Further investigation of the trends revealed differences in composition and 77 diversity of LUT microbiotas within and across participants. These data, in combination 78 with previous studies showing relationships between the LUT microbiota and LUT 79 symptoms, suggest that personal factors relating to the genitourinary system may be an 80 important consideration in the etiology, prevention, and/or treatment of LUT disorders.