Evidence map›Paper›PMID 26477831›Full record

ArticleScientific reports2015

Differentiation of oral bacteria in in vitro cultures and human saliva by secondary electrospray ionization - mass spectrometry.

Lukas Bregy, Annick R Müggler, Pablo Martinez-Lozano Sinues, Diego García-Gómez, Yannick Suter, Georgios N Belibasakis, Malcolm Kohler, Patrick R Schmidlin, Renato Zenobi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  7. Omics for deciphering oral microecology.International journal of oral science · 2024
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  16. Quantitative mass spectrometry of unconventional human biological matrices.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016
    Article
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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

9 authors at 3 institutions in 1 country.

Lukas BregyDepartment of Chemistry and Applied Biosciences, ETH Zürich, Switzerland.
Annick R MügglerClinic of Preventive Dentistry, Periodontology and Cariology, Center of Dental Medicine, University of Zürich, Switzerland.
Pablo Martinez-Lozano SinuesDepartment of Chemistry and Applied Biosciences, ETH Zürich, Switzerland.
Diego García-GómezDepartment of Chemistry and Applied Biosciences, ETH Zürich, Switzerland.
Yannick SuterDepartment of Chemistry and Applied Biosciences, ETH Zürich, Switzerland.
Georgios N BelibasakisOral Microbiology and Immunology, Institute of Oral Biology, Center of Dental Medicine, University of Zürich Switzerland.
Malcolm KohlerDepartment of Pulmonology, University Hospital Zürich, Switzerland.
Patrick R SchmidlinClinic of Preventive Dentistry, Periodontology and Cariology, Center of Dental Medicine, University of Zürich, Switzerland.
Renato ZenobiDepartment of Chemistry and Applied Biosciences, ETH Zürich, Switzerland.
ETH Zurich · CHUniversity of Zurich · CHUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of bacterial-specific volatile metabolites may be a valuable tool to predict infection. Here we applied a real-time mass spectrometric technique to investigate differences in volatile metabolic profiles of oral bacteria that cause periodontitis. We coupled a secondary electrospray ionization (SESI) source to a commercial high-resolution mass spectrometer to interrogate the headspace from bacterial cultures and human saliva. We identified 120 potential markers characteristic for periodontal pathogens Aggregatibacter actinomycetemcomitans (n = 13), Porphyromonas gingivalis (n = 70), Tanerella forsythia (n = 30) and Treponema denticola (n = 7) in in vitro cultures. In a second proof-of-principle phase, we found 18 (P. gingivalis, T. forsythia and T. denticola) of the 120 in vitro compounds in the saliva from a periodontitis patient with confirmed infection with P. gingivalis, T. forsythia and T. denticola with enhanced ion intensity compared to two healthy controls. In conclusion, this method has the ability to identify individual metabolites of microbial pathogens in a complex medium such as saliva.

Indexed as

Spectrometry, Mass, Electrospray IonizationBacteriaBiomarkersHumansIn Vitro TechniquesMetabolomicsMouthSalivaBiomarkers

Identifiers

PMID26477831
PMCPMC4609958
OpenAlexW1772557908

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.