Evidence map›Paper›PMID 29531289›Full record

ArticleScientific reports2018

Microbial metagenome of urinary tract infection.

Ahmed Moustafa, Weizhong Li, Harinder Singh, Kelvin J Moncera, Manolito G Torralba, Yanbao Yu, Oriol Manuel, William Biggs, J Craig Venter, Karen E Nelson and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
9.1field-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

71 citing papers in PubMed, 130 citations in OpenAlex.

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  12. The Urinary Microbiota and the Gut-Bladder Axis in Bladder Cancer.International journal of molecular sciences · 2025
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11 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 2 countries.

Ahmed MoustafaHuman Longevity Inc., San Diego, CA, 92121, USA.ORCID 0000-0002-0111-3555
Weizhong LiHuman Longevity Inc., San Diego, CA, 92121, USA.
Harinder SinghJ. Craig Venter Institute, Rockville, MD, 20850, USA.
Kelvin J MonceraJ. Craig Venter Institute, La Jolla, CA, 92037, USA.
Manolito G TorralbaJ. Craig Venter Institute, La Jolla, CA, 92037, USA.
Yanbao YuJ. Craig Venter Institute, Rockville, MD, 20850, USA.ORCID 0000-0003-2994-1974
Oriol ManuelCentre Hospitalier Universitaire Vaudois, 1011, Lausanne, Switzerland.
William BiggsHuman Longevity Inc., San Diego, CA, 92121, USA.
J Craig VenterHuman Longevity Inc., San Diego, CA, 92121, USA.
Karen E NelsonHuman Longevity Inc., San Diego, CA, 92121, USA.
Rembert PieperHuman Longevity Inc., San Diego, CA, 92121, USA. rpieper@jcvi.org.
Amalio TelentiJ. Craig Venter Institute, La Jolla, CA, 92037, USA. atelenti@jcvi.org.
J. Craig Venter Institute · USHuman Longevity (United States) · USUniversity Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urine culture and microscopy techniques are used to profile the bacterial species present in urinary tract infections. To gain insight into the urinary flora, we analyzed clinical laboratory features and the microbial metagenome of 121 clean-catch urine samples. 16S rDNA gene signatures were successfully obtained for 116 participants, while metagenome sequencing data was successfully generated for samples from 49 participants. Although 16S rDNA sequencing was more sensitive, metagenome sequencing allowed for a more comprehensive and unbiased representation of the microbial flora, including eukarya and viral pathogens, and of bacterial virulence factors. Urine samples positive by metagenome sequencing contained a plethora of bacterial (median 41 genera/sample), eukarya (median 2 species/sample) and viral sequences (median 3 viruses/sample). Genomic analyses suggested cases of infection with potential pathogens that are often missed during routine urine culture due to species specific growth requirements. While conventional microbiological methods are inadequate to identify a large diversity of microbial species that are present in urine, genomic approaches appear to more comprehensively and quantitatively describe the urinary microbiome.

Indexed as

MetagenomeBacteriaDNA, RibosomalEukaryotaFemaleHumansMalePhylogenySequence Analysis, DNAUrinary Tract InfectionsVirusesDNA, Ribosomal

Identifiers

PMID29531289
PMCPMC5847550
OpenAlexW2952344034

What OpenQuestion holds

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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.