Evidence map›Paper›PMID 38515176›Full record

ArticleGenome biology2024

Cataloging the phylogenetic diversity of human bladder bacterial isolates.

Jingjie Du, Mark Khemmani, Thomas Halverson, Adriana Ene, Roberto Limeira, Lana Tinawi, Baylie R Hochstedler-Kramer, Melline Fontes Noronha, Catherine Putonti, Alan J Wolfe

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Strain-level genomic analysis ofMicrobiology spectrum · 2026
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  13. Draft genomes ofMicrobiology resource announcements · 2024
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  14. Draft genome sequences of anMicrobiology resource announcements · 2024
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  15. Draft genome assembly ofMicrobiology resource announcements · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Jingjie DuDepartment of Microbiology & Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.
Mark KhemmaniDepartment of Microbiology & Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.
Thomas HalversonDepartment of Microbiology & Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.
Adriana EneBioinformatics Program, Loyola University Chicago, Chicago, IL, 60660, USA.
Roberto LimeiraLoyola Genomics Facility, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.
Lana TinawiLoyola Genomics Facility, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.
Baylie R Hochstedler-KramerDepartment of Microbiology & Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.
Melline Fontes NoronhaDepartment of Microbiology & Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA.
Catherine PutontiBioinformatics Program, Loyola University Chicago, Chicago, IL, 60660, USA.
Alan J WolfeDepartment of Microbiology & Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, 60153, USA. awolfe@luc.edu.ORCID 0000-0003-4532-0545
Loyola University Chicago · US

Funding

Training Core for Chicago KUH FORWARDTL1DK132769 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Tamara Isakova · 2021 to 2026
$4.0M
The Female Urinary Microbiome and Urinary IncontinenceR01DK104718 · NIDDK · LOYOLA UNIVERSITY CHICAGO · PI BRUBAKER, LINDA, WOLFE, ALAN J · 2016 to 2020
$3.1M
NIDDK NIH HHS R01 DK104718NIDDK NIH HHS TL1 DK132769
6 · The paper itself

Abstract

backgroundAlthough the human bladder is reported to harbor unique microbiota, our understanding of how these microbial communities interact with their human hosts is limited, mostly owing to the lack of isolates to test mechanistic hypotheses. Niche-specific bacterial collections and associated reference genome databases have been instrumental in expanding knowledge of the microbiota of other anatomical sites, such as the gut and oral cavity.

resultsTo facilitate genomic, functional, and experimental analyses of the human bladder microbiota, we present a bladder-specific bacterial isolate reference collection comprising 1134 genomes, primarily from adult females. These genomes were culled from bacterial isolates obtained by a metaculturomic method from bladder urine collected by transurethral catheterization. This bladder-specific bacterial isolate reference collection includes 196 different species, including representatives of major aerobes and facultative anaerobes, as well as some anaerobes. It captures 72.2% of the genera found when re-examining previously published 16S rRNA gene sequencing of 392 adult female bladder urine samples. Comparative genomic analysis finds that the taxonomies and functions of the bladder microbiota share more similarities with the vaginal microbiota than the gut microbiota. Whole-genome phylogenetic and functional analyses of 186 bladder Escherichia coli isolates and 387 gut Escherichia coli isolates support the hypothesis that phylogroup distribution and functions of Escherichia coli strains differ dramatically between these two very different niches.

conclusionsThis bladder-specific bacterial isolate reference collection is a unique resource that will enable bladder microbiota research and comparison to isolates from other anatomical sites.

Indexed as

BacteriaUrinary BladderAdultCatalogingEscherichia coliFemaleHumansPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16SEscherichia coliHuman bladderLower urinary tract symptomsMetaculturomicsTransurethral catheterizationUrinary microbiomeUrobiome

Identifiers

PMID38515176
PMCPMC10958879
OpenAlexW4393055727

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.