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

Jiangjiang Zhu1, Heather D Bean, Jaime Jiménez-Díaz

  • 1School of Engineering, University of Vermont, Burlington, Vermont 05405, USA.

Insights

Rapidly diagnosing bacterial pneumonia is crucial. Secondary electrospray ionization-mass spectrometry (SESI-MS) breath analysis shows promise for quickly identifying lung pathogens noninvasively, improving treatment outcomes.

Area of Science:

  • Analytical Chemistry
  • Microbiology
  • Pulmonology

Background:

  • Bacterial pneumonia is a major global cause of illness and death.
  • Current diagnostic methods for pneumonia are often slow and lack effectiveness.
  • There is a critical need for rapid, noninvasive diagnostic tools for lung infections.

Purpose of the Study:

  • To explore secondary electrospray ionization-mass spectrometry (SESI-MS) breath analysis for rapid, noninvasive diagnosis of bacterial lung infections.
  • To determine if SESI-MS breathprints can differentiate between various bacterial lung pathogens in situ.

Main Methods:

  • A murine lung infection model was utilized.
  • Secondary electrospray ionization-mass spectrometry (SESI-MS) was employed for breath analysis.
  • Principal components analysis (PCA) was applied to SESI-MS breathprint data.

Main Results:

  • SESI-MS breathprints successfully distinguished between mice infected with seven different lung pathogens.
  • The pathogens included Haemophilus influenzae, Klebsiella pneumoniae, Legionella pneumophila, Moraxella catarrhalis, Pseudomonas aeruginosa, Staphylococcus aureus, and Streptococcus pneumoniae.
  • Principal components analysis revealed clear separation of infection groups using 14 key peaks (P < 0.0001).

Conclusions:

  • SESI-MS breath analysis is a potentially powerful tool for the rapid, in situ detection of bacterial lung infections.
  • This noninvasive approach can identify specific bacterial pathogens causing pneumonia.
  • The findings suggest SESI-MS can significantly improve diagnosis success rates and treatment outcomes for bacterial pneumonia.