L Brubaker, D McDonald, S Putnam, C Brennan, C S Fok, C E Lewis, J L Lowder, M G Mueller, L M Rickey, E R Mueller, S J Song, K Rudser, R Knight, E S Lukacz
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引用次数: 0
Abstract
Despite the established association with lower urinary tract symptoms, the relationship between a healthy bladder and the urogenital microbiome is unknown. This observational cohort study of 435 community-dwelling women examined bladder health and function using a validated instrument. Voided urine samples were self-collected, shipped to a repository, and underwent 16S rRNA amplicon sequencing. Two hundred seventy-four (56%) samples were retained following a limit-of-detection analysis for low biomass samples. A differential abundance analysis showed that Lactobacillus, the dominant genus, was associated with higher bladder function scores, but not global perception of bladder health, while Prevotella and Anerococcus were associated with lower scores. Associations between the female urogenital microbiome exist across the bladder health spectrum.
Importance: There is increasing awareness that human microbiomes impact health and modulate certain health conditions. Recently, investigators developed a validated assessment of bladder health in adult women. This advance facilitated evaluation of the urogenital microbiome, across the adult lifespan and across the spectrum of bladder health in a population-based, observational study.
mSystemsBiochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍:
mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.