Evidence map›Paper›PMID 24338093›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2014

Rapid detection of antibiotic resistance based on mass spectrometry and stable isotopes.

J S Jung, T Eberl, K Sparbier, C Lange, M Kostrzewa, S Schubert, A Wieser

Abstract readEvaluation Study
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In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
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

37 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Review
  7. Stable isotope labeling as a promising tool for rapid drug susceptibility testing in Neisseria gonorrhoeae.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  8. Rapid detection of antimicrobial resistance in methicillin-resistantFrontiers in cellular and infection microbiology · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Rapid Determination of Benzylpenicillin Resistance inInfection and drug resistance · 2020
    Article
  19. Review
  20. Review
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

7 authors.

J S JungMax von Pettenkofer-Institut für Hygiene und Medizinische Mikrobiologie, Marchioninistr. 17, 81377, Munich, Germany, jung@mvp.uni-muenchen.de.
T Eberl
K Sparbier
C Lange
M Kostrzewa
S Schubert
A Wieser

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the emergence and growing complexity of bacterial drug resistance, rapid and reliable susceptibility testing has become a topical issue. Therefore, new technologies that assist in predicting the effectiveness of empiric antibiotic therapy are of great interest. Although the use of matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) for the rapid detection of antibiotic resistance is an attractive option, the current methods for MALDI-TOF MS susceptibility testing are restricted to very limited conditions. Here, we describe a technique that may allow for rapid susceptibility testing to an extent that is comparable to phenotypic methods. The test was based on a stable isotope labelling by amino acids in cell culture (SILAC)-like approach. This technique was used to visualise the growth of bacteria in the presence of an antibiotic. Pseudomonas aeruginosa was chosen as the model organism, and strains were incubated in normal medium, medium supplemented with (13)C6-(15) N2-labelled lysine and medium supplemented with labelled lysine and antibiotic. Peak shifts occurring due to the incorporation of the labelled amino acids were detected by MALDI-TOF MS. Three antibiotics with different mechanisms of action, meropenem, tobramycin and ciprofloxacin, were tested. A semi-automated algorithm was created to enable rapid and unbiased data evaluation. With the proposed test, a clear distinction between resistant and susceptible isolates was possible for all three antibiotics. The application of SILAC technology for the detection of antibiotic resistance may contribute to accelerated and reliable susceptibility testing.

Indexed as

Drug Resistance, BacterialAmino AcidsAnti-Bacterial AgentsCiprofloxacinCulture MediaIsotope LabelingIsotopesMass SpectrometryMeropenemMicrobial Sensitivity TestsPseudomonas aeruginosaThienamycinsTime FactorsTobramycinAmino AcidsAnti-Bacterial AgentsCiprofloxacinCulture MediaIsotopesMeropenemThienamycinsTobramycin

Identifiers

What OpenQuestion holds

Textmetadata
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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.