Interplay between bladder microbiota and overactive bladder symptom severity: a cross-sectional study

Study information

Reviewed Marked as Reviewed by Chinelsy on 2023-10-30

study design

cross-sectional observational, not case-control

Citation

PMID PubMed identifier for scientific articles.

35305613

DOI Digital object identifier for electronic documents.

10.1186/s12894-022-00990-0

URI

Authors

Li K, Chen C, Zeng J, Wen Y, Chen W, Zhao J, Wu P

Journal

BMC urology

Year

2022

Keywords:

Bladder microbiota, Overactive bladder, Severity of OAB symptom, Urinary microbiome

BACKGROUND: It is widely accepted that there exist microbiota communities in urinary tract of healthy individuals. Imbalance in the urinary microbiome plays important roles in the development of various benign urological conditions including lower urinary track symptoms (LUTS) and overactive bladder (OAB). However, whether alteration in urinary microbiome exerts influence on the severity of OAB symptom has yet to be elucidated. The purpose of this study is to examine the correlation between urinary microbiome and the severity of OAB. METHODS: A total of 70 OAB patients were recruited to finish overactive bladder symptom score (OABSS) questionnaires. Catheterized urine samples were obtained for 16S rRNA gene sequencing. The species richness and evenness were evaluated by α diversity, and the difference in urinary microbiome between patients with mild or moderate/severe severity was evaluated by β diversity. The relationship between urinary microbiome and the severity of OAB symptom was evaluated using Pearson's correlation analysis. RESULTS: Mild patients (OABSS ≤ 5, n = 17) had lower bacterial diversity (Simpson index, P = 0.024) and richness (Chao1, P = 0.023) than those with moderate/severe symptom (OABSS > 5, n = 53). Beta-diversity of urinary microbiome between two groups were significantly different. Furthermore, the score of OABSS was positively correlated with the richness index (Chao1, P = 0.002) and diversity index (Shannon index, P = 0.044) of urinary microbiome. Certain bacterial genera (e.g., Porphyromona and Prevotella) were significantly correlated with severity of OAB sub-symptoms. CONCLUSION: This study demonstrated that urinary microbiome was intimately correlated with the severity of OAB symptom and the increase of the diversity and richness of urinary microbiome was accompanied by more severe OAB symptoms, indicating that urinary dysbiosis may play pivotal roles in the deterioration of functional bladder diseases.

Experiment 1

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Reviewed Marked as Reviewed by Chinelsy on 2023-10-30

Curated date: 2023/10/05

Curator: Tolulopeo

Revision editor(s): Tolulopeo, Deacme, Chinelsy

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Urinary bladder Bladder,Urocyst,Vesica,Vesica urinaria,Urinary bladder,urinary bladder

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Overactive bladder Hypertonic bladder,overactive bladder,overactive bladder (disease),Overactive Detrusor,Urinary Bladder Overactive,Overactive bladder

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Mild Overactive Bladder

Group 1 name Corresponds to the case (exposed) group for case-control studies: Moderate/Severe Overactive Bladder

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Adult patients with Overactive Bladder Symptom Score greater than five (OABSS > 5).

Group 0 sample size Number of subjects in the control (unexposed) group: 17

Group 1 sample size Number of subjects in the case (exposed) group: 53

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 4 weeks

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V3-V4

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: LEfSe

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 2.0

Matched on Factors on which subjects have been matched on in a case-control study: age, hypertension, race, body mass index

Alpha Diversity

Pielou Quantifies how equal the community is numerically: unchanged

Shannon Estimator of species richness and species evenness: more weight on species richness: increased

Chao1 Abundance-based estimator of species richness: increased

Simpson Estimator of species richness and species evenness: more weight on species evenness: increased

Richness Number of species: increased

Signature 1

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Reviewed Marked as Reviewed by Chinelsy on 2023-11-8

Curated date: 2023/10/23

Curator: Deacme

Revision editor(s): Deacme, Chinelsy

Source: Table 2

Description: Increased abundance of bacteria in moderate/severe overactive bladder patients.

Abundance in Group 1: increased abundance in Moderate/Severe Overactive Bladder

NCBI	Quality Control	Links
Bifidobacteriaceae
Methylobacteriaceae
Prevotellaceae
Staphylococcaceae

Revision editor(s): Deacme, Chinelsy

Signature 2

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Reviewed Marked as Reviewed by Chinelsy on 2023-11-8

Curated date: 2023/10/23

Curator: Deacme

Revision editor(s): Deacme

Source: Table 2

Description: Decreased abundance of bacteria in moderate/severe overactive bladder patients.

Abundance in Group 1: decreased abundance in Moderate/Severe Overactive Bladder

NCBI	Quality Control	Links
Lactobacillaceae
Enterococcaceae
Streptococcaceae
Moraxellaceae
Sphingomonadaceae

Revision editor(s): Deacme