Robust detection of P. aeruginosa and S. aureus acute lung infections by secondary electrospray ionization-mass spectrometry (SESI-MS) breathprinting: From initial infection to clearance

Jiangjiang Zhu, Jaime Jiménez-Díaz, Heather D. Bean, Nirav A. Daphtary, Minara I. Aliyeva, Lennart K.A. Lundblad, Jane E. Hill

Research output: Contribution to journalArticle

34 Scopus citations

Abstract

Before breath-based diagnostics for lung infections can be implemented in the clinic, it is necessary to understand how the breath volatiles change during the course of infection, and ideally, to identify a core set of breath markers that can be used to diagnose the pathogen at any point during the infection. In the study presented here, we use secondary electrospray ionization-mass spectrometry (SESI-MS) to characterize the breathprint of Pseudomonas aeruginosa and Staphylococcus aureus lung infections in a murine model over a period of 120 h, with a total of 86 mice in the study. Using partial least squares-discriminant analysis (PLS-DA) to evaluate the time-course data, we were able to show that SESI-MS breathprinting can be used to robustly classify acute P. aeruginosa and S. aureus mouse lung infections at any time during the 120 h infection/clearance process. The variable importance plot from PLS indicates that multiple peaks from the SESI-MS breathprints are required for discriminating the bacterial infections. Therefore, by utilizing the entire breathprint rather than single biomarkers, infectious agents can be diagnosed by SESI-MS independent of when during the infection breath is tested.

Original languageEnglish (US)
Article number037106
JournalJournal of Breath Research
Volume7
Issue number3
DOIs
StatePublished - Sep 1 2013
Externally publishedYes

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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