Evidence map›Paper›PMID 32581661›Full record

ArticleClinical proteomics2020

Identification of pathogens from native urine samples by MALDI-TOF/TOF tandem mass spectrometry.

Damir Oros, Marina Ceprnja, Jurica Zucko, Mario Cindric, Amela Hozic, Jasenka Skrlin, Karmela Barisic, Ena Melvan, Ksenija Uroic, Blazenka Kos and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  11. Modeling of Urinary Microbiota Associated With Cystitis.Frontiers in cellular and infection microbiology · 2021
    Article
  12. Review
  13. MALDI-TOF Mass Spectroscopy Applications in Clinical Microbiology.Advances in pharmacological and pharmaceutical sciences · 2021
    Review
  14. 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

11 authors at 5 institutions in 2 countries.

Damir OrosDepartment of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia.
Marina CeprnjaBiochemical Laboratory, Special Hospital Agram, Polyclinic Zagreb, 10000 Zagreb, Croatia.
Jurica ZuckoDepartment of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia.
Mario CindricDivision of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia.
Amela HozicDivision of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia.
Jasenka SkrlinDepartment for Clinical Microbiology and Hospital Infection, University Hospital Dubrava, 10000 Zagreb, Croatia.
Karmela BarisicFaculty of Pharmacy and Biochemistry, Zagreb University, Zagreb, Croatia.
Ena MelvanDepartment of Biological Science, Faculty of Science, Macquarie University, Sydney, Australia.
Ksenija UroicDepartment of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia.
Blazenka KosDepartment of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia.
Antonio StarcevicDepartment of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia.ORCID 0000-0003-2386-2124
University of Zagreb · HRRuđer Bošković Institute · HRMacquarie University · AUUniversity Hospital Centre Zagreb · HRUniversity Hospital Dubrava · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReliable high-throughput microbial pathogen identification in human urine samples is crucial for patients with cystitis symptoms. Currently employed methods are time-consuming and could lead to unnecessary or inadequate antibiotic treatment. Purpose of this study was to assess the potential of mass spectrometry for uropathogen identification from a native urine sample.

methodsIn total, 16 urine samples having more than 10

resultsHere we present advantages and disadvantages of bottom-up proteomics, using MALDI-TOF/TOF tandem mass spectrometry, for culture-independent identification of uropathogens (e.g. directly from urine samples). The direct approach provided reliable identification of bacteria at the genus level in monobacterial samples. Taxonomic identifications obtained by proteomics were compared both to standard urine culture test used in clinics and genomic test based on 16S rRNA sequencing.

conclusionsOur findings indicate that mass spectrometry has great potential as a reliable high-throughput tool for microbial pathogen identification in human urine samples. In this case, the MALDI-TOF/TOF, was used as an analytical tool for the determination of bacteria in urine samples, and the results obtained emphasize high importance of storage conditions and sample preparation method impacting reliability of MS2 data analysis. The proposed method is simple enough to be utilized in existing clinical settings and is highly suitable for suspected single organism infectious etiologies. Further research is required in order to identify pathogens in polymicrobial urine samples.

Indexed as

16S rRNA sequencingMALDI-TOF/TOFPathogen identificationProteomicsSample preparationUrine

Identifiers

PMID32581661
PMCPMC7310424
OpenAlexW3036271137

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.