Evidence map›Paper›PMID 23519230›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2013

Secondary electrospray ionization-mass spectrometry (SESI-MS) breathprinting of multiple bacterial lung pathogens, a mouse model study.

Jiangjiang Zhu, Heather D Bean, Jaime Jiménez-Díaz, Jane E Hill

Open access · greenAbstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Comparison of CuJournal of the American Society for Mass Spectrometry · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Rapid detection ofiScience · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Breath metabolome of mice infected with Pseudomonas aeruginosa.Metabolomics : Official journal of the Metabolomic Society · 2019
    Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Jiangjiang ZhuSchool of Engineering, University of Vermont, Burlington, Vermont 05405, USA.
Heather D Bean
Jaime Jiménez-Díaz
Jane E Hill
University of Vermont · US

Funding

VERMONT IMMUNOBIOLOIGY/ INFECTIOUS DISEASES CENTERP20RR021905 · NCRR · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI MATRAJT, MARIANA L · 2006 to 2011
$14.5M
Vermont Immunobioloigy/ Infectious Diseases CenterP20GM103496 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2012 to 2015
$8.7M
NCRR NIH HHS 5P20RR021905-07NIGMS NIH HHS 8 P20 GM103496-07NIGMS NIH HHS P20 GM103496
6 · The paper itself

Abstract

Bacterial pneumonia is one of the leading causes of disease-related morbidity and mortality in the world, in part because the diagnostic tools for pneumonia are slow and ineffective. To improve the diagnosis success rates and treatment outcomes for bacterial lung infections, we are exploring the use of secondary electrospray ionization-mass spectrometry (SESI-MS) breath analysis as a rapid, noninvasive method for determining the etiology of lung infections in situ. Using a murine lung infection model, we demonstrate that SESI-MS breathprints can be used to distinguish mice that are infected with one of seven lung pathogens: Haemophilus influenzae, Klebsiella pneumoniae, Legionella pneumophila, Moraxella catarrhalis, Pseudomonas aeruginosa, Staphylococcus aureus, and Streptococcus pneumoniae, representing the primary causes of bacterial pneumonia worldwide. After applying principal components analysis, we observed that with the first three principal components (primarily comprised of data from 14 peaks), all infections were separable via SESI-MS breathprinting (P < 0.0001). Therefore, we have shown the potential of this SESI-MS approach for rapidly detecting and identifying acute bacterial lung infections in situ via breath analysis.

Indexed as

AnimalsBacteriaBacterial Typing TechniquesBreath TestsMaleMiceMice, Inbred C57BLPneumonia, BacterialReproducibility of ResultsSensitivity and SpecificitySpectrometry, Mass, Electrospray Ionizationbacteriabreath analysislung infectionSESI-MSVOC

Identifiers

PMID23519230
PMCPMC3680826
OpenAlexW2012588778

What OpenQuestion holds

Textmetadata
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.