The Journal of urology · 2026
Urinary Microbiome and Metabolome Differentiate Overactive Bladder From the Physiological State, and Reflect Recent Antibiotic Use and Treatment Response.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Werneburg Glenn T, Gross Michael D, Hettel Daniel R, Lyon Madison, Jeong Stacy H, McSweeney Sean, Knorr Jacob M, Adler Ava, Dang Thien, Orji Peace, Ramanujan Suruchi, Goldman Howard B, Vasavada Sandip P, Miller Aaron W
Аннотация
PURPOSE: To characterize and compare the bacterial urinary microbiome in individuals with and without overactive bladder (OAB), and secondarily compare its composition by phenotype, comorbidities, recent antibiotic exposure, and therapeutic response.
MATERIALS AND METHODS: We isolated DNA and metabolites from the urine of women without urologic diagnoses and with OAB. Bacterial profiles were generated with 16S rRNA sequencing, and metabolite profiles were generated with untargeted metabolomics. Alpha-diversity and beta-diversity, relative abundance, and microbe-metabolite co-occurrence interaction networks were identified by OAB status and patient characteristics.
RESULTS: One hundred fifty-two participants were included, and bacteria were identified in all urine samples. Bacilliota was the most abundant phylum and Lactobacillus, Escherichia, and Prevotella the most abundant genera in individuals without urologic conditions. Megasphaera and Scardovia were the primary genera more abundant in individuals without OAB than those with OAB (each: log2-fold change [FC] -3.7 P < .001). Escherichia (log2-FC 5.9), Enterococcus (log2-FC 3.5), and Proteus (log2-FC 3.1) were the primary genera significantly more abundant in the urine of individuals with OAB than those without (P < .001). Beta diversity differed between individuals with and without OAB and by diabetes mellitus status (P < .05). Relative abundance of bacterial genera differed by OAB phenotype, diabetes mellitus status, recent antibiotic exposure, and response to OAB treatment (P < .05). Microbe-metabolite interaction networks demonstrated central microbes and metabolites in the healthy and OAB states.
CONCLUSIONS: The study provides new understanding regarding the physiological bacterial composition of urine, and that in the context of OAB. Furthermore, microbiota differed by patient phenotype, comorbidities, recent antibiotic exposure, and therapeutic response. The results inform strategies of microbiological modulation to augment existing therapeutic strategies.
MATERIALS AND METHODS: We isolated DNA and metabolites from the urine of women without urologic diagnoses and with OAB. Bacterial profiles were generated with 16S rRNA sequencing, and metabolite profiles were generated with untargeted metabolomics. Alpha-diversity and beta-diversity, relative abundance, and microbe-metabolite co-occurrence interaction networks were identified by OAB status and patient characteristics.
RESULTS: One hundred fifty-two participants were included, and bacteria were identified in all urine samples. Bacilliota was the most abundant phylum and Lactobacillus, Escherichia, and Prevotella the most abundant genera in individuals without urologic conditions. Megasphaera and Scardovia were the primary genera more abundant in individuals without OAB than those with OAB (each: log2-fold change [FC] -3.7 P < .001). Escherichia (log2-FC 5.9), Enterococcus (log2-FC 3.5), and Proteus (log2-FC 3.1) were the primary genera significantly more abundant in the urine of individuals with OAB than those without (P < .001). Beta diversity differed between individuals with and without OAB and by diabetes mellitus status (P < .05). Relative abundance of bacterial genera differed by OAB phenotype, diabetes mellitus status, recent antibiotic exposure, and response to OAB treatment (P < .05). Microbe-metabolite interaction networks demonstrated central microbes and metabolites in the healthy and OAB states.
CONCLUSIONS: The study provides new understanding regarding the physiological bacterial composition of urine, and that in the context of OAB. Furthermore, microbiota differed by patient phenotype, comorbidities, recent antibiotic exposure, and therapeutic response. The results inform strategies of microbiological modulation to augment existing therapeutic strategies.