Evidence map›Paper›PMID 40909926›Full record

ArticleFrontiers in microbiology2025

Multi-omics investigation reveals unique markers in

Lena-Sophie Swiatek, Kristin Surmann, Elias Eger, Justus U Müller, Manuela Gesell Salazar, Stefan E Heiden, Guido Werner, Nils-Olaf Hübner, Jürgen A Bohnert, Karsten Becker and 3 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Direct Production of 2-Butanol from Glucose by RecombinantInternational journal of molecular sciences · 2026
    Article
  2. 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

13 authors.

Lena-Sophie SwiatekDepartment of Epidemiology and Ecology of Antimicrobial Resistance, Helmholtz Institute for One Health, Helmholtz Centre for Infection Research HZI, Greifswald, Germany.
Kristin SurmannDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Elias EgerDepartment of Epidemiology and Ecology of Antimicrobial Resistance, Helmholtz Institute for One Health, Helmholtz Centre for Infection Research HZI, Greifswald, Germany.
Justus U MüllerDepartment of Epidemiology and Ecology of Antimicrobial Resistance, Helmholtz Institute for One Health, Helmholtz Centre for Infection Research HZI, Greifswald, Germany.
Manuela Gesell SalazarDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Stefan E HeidenDepartment of Epidemiology and Ecology of Antimicrobial Resistance, Helmholtz Institute for One Health, Helmholtz Centre for Infection Research HZI, Greifswald, Germany.
Guido WernerDivision of Nosocomial Pathogens and Antibiotic Resistances, Department of Infectious Diseases, Robert Koch Institute, Wernigerode, Germany.
Nils-Olaf HübnerCentral Unit for Infection Prevention and Control, University Medicine Greifswald, Greifswald, Germany.
Jürgen A BohnertFriedrich Loeffler-Institute of Medical Microbiology, University Medicine Greifswald, Greifswald, Germany.
Karsten BeckerFriedrich Loeffler-Institute of Medical Microbiology, University Medicine Greifswald, Greifswald, Germany.
Uwe VölkerDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Michael Schwabe *Department of Epidemiology and Ecology of Antimicrobial Resistance, Helmholtz Institute for One Health, Helmholtz Centre for Infection Research HZI, Greifswald, Germany.
Katharina Schaufler *Department of Epidemiology and Ecology of Antimicrobial Resistance, Helmholtz Institute for One Health, Helmholtz Centre for Infection Research HZI, Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Methods: This study compared globally disseminated KP lineages with less abundant KV strains in synthetic human urine (SHU) across multiple omics levels to identify characteristics differentiating these closely related species. Moreover, a large genomic dataset of over 6,000 publicly available genomes of KP, KV, and KQ was constructed for comparisons to other members of the KpSC. Results: Among eight clinical KP strains representing four different sequence types (STs), we identified 107 genes comprising the KP-specific core genome, while these genes were absent from two selected KV genomes. Transcriptome and proteome analyses in SHU revealed different regulatory patterns between KP and KV strains, with metabolic responses playing a pivotal role. A total of 193 genes specific to the investigated KP STs were identified, exhibiting differential expression at the transcriptomic and/or proteomic levels. Comparison to the genomic dataset highlighted genes adaptively regulated or uniquely present in KP genomes. For example, certain genes for citrate metabolism are uniquely upregulated in KP and a gene cluster for the cellobiose phosphotransferase system, previously linked to bacterial virulence and biofilm formation, was found exclusively in KP. Discussion: Our study underscores the metabolic flexibility of KP strains in response to specific environmental conditions, potentially contributing to opportunistic pathogenicity. We identified markers enriched in KP STs, providing a foundation for future investigations including their relevance for diagnostics.

Indexed as

Klebsiella pneumoniae species complex and its differencesmarkersmultidrug resistancemulti-omicssynthetic human urine

Identifiers

PMID40909926
PMCPMC12405260

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.