Evidence map›Paper›PMID 40778067›Full record

ArticleFrontiers in urology2023

Cataloging variation in 16S rRNA gene sequences of female urobiome bacteria.

Genevieve Baddoo, Adriana Ene, Zubia Merchant, Swarnali Banerjee, Alan J Wolfe, Catherine Putonti

Abstract read
In one paragraph

Article in Frontiers in urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The Urinary Microbiota and the Gut-Bladder Axis in Bladder Cancer.International journal of molecular sciences · 2025
    Review
  2. Review
  3. Review
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

6 authors.

Genevieve Baddoo *Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States.
Adriana Ene *Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States.
Zubia Merchant *Department of Biology, Loyola University Chicago, Chicago, IL, United States.
Swarnali BanerjeeDepartment of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, United States.
Alan J WolfeDepartment of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, United States.
Catherine PutontiBioinformatics Program, Loyola University Chicago, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continued efforts to isolate and sequence bacteria of the urinary tract has increased representation of these species in publicly available databases. This in turn has improved taxonomic classifications of the urinary microbiome (urobiome). Short-read sequencing targeting a variable region(s) of the 16S rRNA gene sequence has been fundamental in characterizing the urobiomes of males and females with and without lower urinary tract symptoms, as well as cancers of the urinary tract. Here, we have compiled a data set of full-length or near-full-length 16S rRNA gene sequences for the urobiome. To generate this data set, we first plated 203 isolates from the bladder on differential media and sequenced their full-length 16S rRNA gene sequence. We combined this data set with publicly available genomes from primarily the female urinary tract. The final data set includes 399 sequences representative of 160 different species from 73 genera. We assessed the ability of publicly available databases to correctly predict these sequences based on the V1-V3, V4, and V4-V6 variable regions. As expected, species designations based upon these variable regions is often not possible or incorrect. We also detected incorrect genus-level classifications. This data set can be used to supplement existing databases, by increasing urobiome species variation, and thus improve future studies characterizing urobiomes.

Indexed as

16S rRNA gene sequence16S rRNA gene sequence analysisfemale urinary tracturinary microbiomeurobiome

Identifiers

PMID40778067
PMCPMC12327256

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.