Evidence map›Paper›PMID 34519534›Full record

ArticlemSystems2021

Species-Level Resolution of Female Bladder Microbiota from 16S rRNA Amplicon Sequencing.

Carter Hoffman, Nazema Y Siddiqui, Ian Fields, W Thomas Gregory, Holly M Simon, Michael A Mooney, Alan J Wolfe, Lisa Karstens

Abstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The Urinary Microbiota and the Gut-Bladder Axis in Bladder Cancer.International journal of molecular sciences · 2025
    Review
  6. Review
  7. Article
  8. GutJHEP reports : innovation in hepatology · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Supplementation ofMicroorganisms · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Nutrients · 2022
    Article
  19. Review
  20. Choice of 16S Ribosomal RNA Primers Impacts Male Urinary Microbiota Profiling.Frontiers in cellular and infection microbiology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Carter HoffmanDivision of Bioinformatics and Computational Biomedicine, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0002-4001-7902
Nazema Y SiddiquiDivision of Urogynecology and Reconstructive Pelvic Surgery, Department of Obstetrics and Gynecology, Duke University, Durham, North Carolina, USA.
Ian FieldsDivision of Urogynecology, Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, Oregon, USA.
W Thomas GregoryDivision of Urogynecology, Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, Oregon, USA.
Holly M SimonAnimalBiome, Oakland, California, USA.
Michael A MooneyDivision of Bioinformatics and Computational Biomedicine, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA.
Alan J WolfeDepartment of Microbiology & Immunology, Loyola University Chicagogrid.164971.c, Maywood, Illinois, USA.ORCID 0000-0003-4532-0545
Lisa KarstensDivision of Bioinformatics and Computational Biomedicine, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0001-6188-4397

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Sarah B. Peskoe · 2006 to 2026
$24.6M
Functional Considerations of the Urinary Microbiome in Overactive BladderK01DK116706 · NIDDK · OREGON HEALTH & SCIENCE UNIVERSITY · PI KARSTENS, LISA ANNE · 2018 to 2021
$545k
Effects of Aging and the Urinary Microbiome on Recurrent Urinary Tract InfectionsR03AG060082 · NIA · DUKE UNIVERSITY · PI SIDDIQUI, NAZEMA Y · 2018 to 2019
$228k
HHS | NIH | National Center for Advancing Translational Sciences (NCATS) UL1TR002369HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) K01DK116706HHS | NIH | National Institute on Aging (NIA) R03AG060082NCATS NIH HHS UL1 TR002369NIA NIH HHS P30 AG028716NIA NIH HHS R03 AG060082NIDDK NIH HHS K01 DK116706
6 · The paper itself

Abstract

The human bladder contains bacteria, even in the absence of infection. Interest in studying these bacteria and their association with bladder conditions is increasing. However, the chosen experimental method can limit the resolution of the taxonomy that can be assigned to the bacteria found in the bladder. 16S rRNA amplicon sequencing is commonly used to identify bacteria in urinary specimens, but it is typically restricted to genus-level identification. Our primary aim here was to determine if accurate species-level identification of bladder bacteria is possible using 16S rRNA amplicon sequencing. We evaluated the ability of different classification schemes, each consisting of combinations of a reference database, a 16S rRNA gene variable region, and a taxonomic classification algorithm to correctly classify bladder bacteria. We show that species-level identification is possible and that the reference database chosen is the most important component, followed by the 16S variable region sequenced.

Indexed as

16S sequencingalgorithmsbioinformaticsbladdermicrobiometaxonomic classificationurobiome

Identifiers

PMID34519534
PMCPMC8547459

What OpenQuestion holds

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Registered trials

None linked

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.