Evidence map›Paper›PMID 36005817›Full record

ArticleMicrobiology spectrum2022

Comparison of Different Label-Free Raman Spectroscopy Approaches for the Discrimination of Clinical MRSA and MSSA Isolates.

Aikaterini Pistiki, Stefan Monecke, Haodong Shen, Oleg Ryabchykov, Thomas W Bocklitz, Petra Rösch, Ralf Ehricht, Jürgen Popp

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Aikaterini PistikiLeibniz Institute of Photonic Technologygrid.418907.3 Jena, Jena, Germany.
Stefan MoneckeLeibniz Institute of Photonic Technologygrid.418907.3 Jena, Jena, Germany.
Haodong ShenLeibniz Institute of Photonic Technologygrid.418907.3 Jena, Jena, Germany.
Oleg RyabchykovLeibniz Institute of Photonic Technologygrid.418907.3 Jena, Jena, Germany.
Thomas W BocklitzLeibniz Institute of Photonic Technologygrid.418907.3 Jena, Jena, Germany.
Petra RöschInfectoGnostics Research Campus Jena, Jena, Germany.
Ralf EhrichtLeibniz Institute of Photonic Technologygrid.418907.3 Jena, Jena, Germany.
Jürgen PoppLeibniz Institute of Photonic Technologygrid.418907.3 Jena, Jena, Germany.ORCID 0000-0003-4257-593X
Leibniz Institute of Photonic Technology · DEInfectoGnostics Research Campus Jena · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) is classified as one of the priority pathogens that threaten human health. Resistance detection with conventional microbiological methods takes several days, forcing physicians to administer empirical antimicrobial treatment that is not always appropriate. A need exists for a rapid, accurate, and cost-effective method that allows targeted antimicrobial therapy in limited time. In this pilot study, we investigate the efficacy of three different label-free Raman spectroscopic approaches to differentiate methicillin-resistant and -susceptible clinical isolates of S. aureus (MSSA). Single-cell analysis using 532 nm excitation was shown to be the most suitable approach since it captures information on the overall biochemical composition of the bacteria, predicting 87.5% of the strains correctly. UV resonance Raman microspectroscopy provided a balanced accuracy of 62.5% and was not sensitive enough in discriminating MRSA from MSSA. Excitation of 785 nm directly on the petri dish provided a balanced accuracy of 87.5%. However, the difference between the strains was derived from the dominant staphyloxanthin bands in the MRSA, a cell component not associated with the presence of methicillin resistance. This is the first step toward the development of label-free Raman spectroscopy for the discrimination of MRSA and MSSA using single-cell analysis with 532 nm excitation.

Indexed as

Anti-Infective AgentsMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnti-Bacterial AgentsHumansMicrobial Sensitivity TestsPilot ProjectsSpectrum Analysis, RamanStaphylococcus aureusAnti-Bacterial AgentsAnti-Infective Agents532-nm single-cell analysis785 nm fiber probeMRSARaman microscopyRaman spectroscopysingle-cell analysisUV resonance Raman spectroscopy

Identifiers

PMID36005817
PMCPMC9603629
OpenAlexW4293088848

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.