ArticleFrontiers in cellular and infection microbiology2022
Unraveling the impact of
Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- The urinary microbiome, overactive bladder and bladder pain syndrome/interstitial cystitis - mechanisms, diagnostics and therapeutic opportunities.Nature reviews. Urology · 2026Review
- Strain-level heterogeneity in Gardnerella urinary tract persistence and pathogenesis in an in vivo model is consistent with comparative phylogenomic analyses.BMC microbiology · 2026Article
- Alterations in urinary microbiota composition in children with overactive bladder: insights from 16S rRNA gene sequencing.Scientific reports · 2025Article
- Strain-level differences inbioRxiv : the preprint server for biology · 2025Article
- [Pentosan polysulfate alleviates cyclophosphamide-induced interstitial cystitis/bladder pain syndrome in mice by modulating gut microbiota and bile acid metabolism].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
- The Role of Urinary Microbiome Analysis in the Diagnostic Approach and Management of Urinary Incontinence: A Systematic Review.Life (Basel, Switzerland) · 2025Review
- Pentosan polysulfate alleviates interstitial cystitis/bladder pain syndrome by modulating bile acid metabolism and activating the TGR5 receptor through gut microbiota regulation.Bladder (San Francisco, Calif.) · 2025Article
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Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Overactive bladder (OAB) is a disease that seriously affects patients' quality of life and mental health. To address this issue, more and more researchers are examining the relationship between OAB treatment and urinary microecology. In this study, we sought to determine whether differences in treatment efficacy were related to microbiome diversity and composition as well as the abundance of specific genera. Machine learning algorithms were used to construct predictive models for urine microbiota-based treatment of OAB. Methods: Urine samples were obtained from 64 adult female OAB patients for 16S rRNA gene sequencing. Patients' overactive bladder symptom scores (OABSS) were collected before and after mirabegron treatment and patients were divided into effective and ineffective groups. The relationship between the relative abundance of certain genera and OABSS were analyzed. Three machine learning algorithms, including random forest (RF), supporting vector machine (SVM) and eXtreme gradient boosting (XGBoost) were utilized to predict the therapeutic effect of mirabegron based on the relative abundance of certain genera in OAB patients' urine microbiome. Results: The species composition of the two groups differed. For one, the relative abundance of Conclusions: The results of this study indicate that urinary microbiota might influence the efficacy of mirabegron, and that
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.