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

Research output: Contribution to journalArticle

46 Scopus citations

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 ionizationmass 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.

Original languageEnglish (US)
Pages (from-to)1544-1549
Number of pages6
JournalJournal of Applied Physiology
Volume114
Issue number11
DOIs
StatePublished - Jun 1 2013

Keywords

  • Bacteria
  • Breath analysis
  • Lung infection
  • SESI-MS
  • VOC

ASJC Scopus subject areas

  • Physiology
  • Physiology (medical)

Fingerprint Dive into the research topics of 'Secondary electrospray ionization-mass spectrometry (SESI-MS) breathprinting of multiple Bacterial lung pathogens, a mouse model study'. Together they form a unique fingerprint.

  • Cite this