Evidence map›Paper›PMID 34156287›Full record

ArticlemSystems2021

Untargeted Metabolomics Reveals Species-Specific Metabolite Production and Shared Nutrient Consumption by Pseudomonas aeruginosa and Staphylococcus aureus.

Laura J Dunphy, Kassandra L Grimes, Nishikant Wase, Glynis L Kolling, Jason A Papin

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Bridging bench and bedside: translational omics ofEuropean respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Cells · 2022
    Article
  9. Article
  10. Molecular Methodologies for Improved Polymicrobial Sepsis Diagnosis.International journal of molecular sciences · 2022
    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

5 authors at 2 institutions in 1 country.

Laura J DunphyDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Kassandra L GrimesDepartment of Engineering Systems and Environment, University of Virginia, Charlottesville, Virginia, USA.
Nishikant WaseBiomolecular Analysis Facility, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Glynis L KollingDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Jason A PapinDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
University of Virginia · USEngineering Systems (United States) · US

Funding

Multi-scale model of microbial phenotype modulation by mucinsR01AI154242 · NIAID · UNIVERSITY OF VIRGINIA · PI FORD, ROSEANNE, PAPIN, JASON · 2020 to 2024
$3.1M
Interdisciplinary Training in Systems & Biomolecular Data ScienceT32GM145443 · NIGMS · UNIVERSITY OF VIRGINIA · PI Kevin A Janes, Jason Papin · 2022 to 2026
$1.5M
Network Analysis of Pathogenicity in Pseudomonas aeruginosaR01GM088244 · NIGMS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON · 2010 to 2014
$1.5M
National Science Foundation (NSF) DDGE-1315231NIAID NIH HHS R01 AI154242NIGMS NIH HHS R01 GM088244NIGMS NIH HHS T32 GM145443University of Virginia (UV) 3CavaliersUniversity of Virginia (UV) Global Infectious Diseases InstituteUniversity of Virginia (UV) School of Medicine Wagner Fellowship
6 · The paper itself

Abstract

While bacterial metabolism is known to impact antibiotic efficacy and virulence, the metabolic capacities of individual microbes in cystic fibrosis lung infections are difficult to disentangle from sputum samples. Here, we show that untargeted metabolomic profiling of supernatants of multiple strains of Pseudomonas aeruginosa and Staphylococcus aureus grown in monoculture in synthetic cystic fibrosis media (SCFM) reveals distinct species-specific metabolic signatures despite intraspecies metabolic variability. We identify a set of 15 metabolites that were significantly consumed by both P. aeruginosa and S. aureus, suggesting that nutrient competition has the potential to impact community dynamics even in the absence of other pathogen-pathogen interactions. Finally, metabolites that were uniquely produced by one species or the other were identified. Specifically, the virulence factor precursor anthranilic acid, as well as the quinoline 2,4-quinolinediol (DHQ), were robustly produced across all tested strains of P. aeruginosa. Through the direct comparison of the extracellular metabolism of P. aeruginosa and S. aureus in a physiologically relevant environment, this work provides insight toward the potential for metabolic interactions

Indexed as

LC-MSmetabolismPseudomonas aeruginosaStaphylococcus aureus

Identifiers

PMID34156287
PMCPMC8269234
OpenAlexW3173311300

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.