Evidence map›Paper›PMID 38830875›Full record

ArticleScientific reports2024

MALDI glycotyping of O-antigens from a single colony of gram-negative bacteria.

Shogo Urakami, Hiroshi Hinou

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Interpretable machine learning of clinical MALDI-TOF spectra discriminates carbapenem-resistantJournal of mass spectrometry and advances in the clinical lab · 2025
    Article
  2. Review
  3. Article
  4. MALDI O-antigen glycotyping ofBBA advances · 2025
    Article
  5. Article
  6. 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

2 authors.

Shogo UrakamiLaboratory of Advanced Chemical Biology, Graduate School of Life Science, Hokkaido University, Sapporo, 001-0021, Japan.
Hiroshi HinouLaboratory of Advanced Chemical Biology, Graduate School of Life Science, Hokkaido University, Sapporo, 001-0021, Japan. hinou@sci.hokudai.ac.jp.

Funding

Japan Science and Technology Agency JPMJTM20JBJapan Society for the Promotion of Science 22H02191Japan Society for the Promotion of Science 23KJ0052
6 · The paper itself

Abstract

Polypeptide-targeted MALDI-TOF MS for microbial species identification has revolutionized microbiology. However, no practical MALDI-TOF MS identification method for O-antigen polysaccharides, a major indicator for epidemiological classification within a species of gram-negative bacteria, is available. We describe a simple MALDI glycotyping method for O-antigens that simultaneously identifies the molecular mass of the repeating units and the monosaccharide composition of the O-antigen. We analyzed the Escherichia coli O1, O6, and O157-type strains. Conventional species identification based on polypeptide patterns and O-antigen polysaccharide typing can be performed in parallel from a single colony using our MALDI-TOF MS workflow. Moreover, subtyping within the same O-antigen and parallel colony-specific O-antigen determination from mixed strains, including the simultaneous identification of multiple strains-derived O-antigens within selected colony, were performed. In MALDI glycotyping of two Enterobacteriaceae strains, a Citrobacter freundii strain serologically cross-reactive with E. coli O157 gave a MALDI spectral pattern identical to E. coli O157. On the other hand, an Edwardsiella tarda strain with no reported O-antigen cross-reactivity gave a MALDI spectral pattern of unknown O-antigen repeating units. The method described in this study allows the parallel and rapid identification of microbial genera, species, and serotypes of surface polysaccharides using a single MALDI-TOF MS instrument.

Indexed as

O AntigensSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationEscherichia coliGram-Negative BacteriaO AntigensBiotypingGlycotypingLPSMALDIO-antigenSingle colony

Identifiers

PMID38830875
PMCPMC11148006

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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.