Identifying methicillin-resistant Staphylococcus aureus (MRSA) lung infections in mice via breath analysis using

Heather D Bean1, Jiangjiang Zhu2, Jackson C Sengle1

  • 1Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH 03755, USA.

Insights

Early detection of Staphylococcus lung infections using breath analysis is crucial. New breathprinting technology can rapidly identify MRSA and MSSA, potentially reducing mortality from these serious infections.

Area of Science:

  • Infectious Diseases
  • Pulmonary Medicine
  • Analytical Chemistry

Background:

  • Invasive methicillin-resistant Staphylococcus aureus (MRSA) infections cause significant mortality, with MRSA pneumonias being difficult to diagnose using current methods.
  • Delayed diagnosis of MRSA infections, often requiring DNA recovery from infection sites, contributes to high mortality rates within days of positive cultures.
  • There is a critical need for rapid, non-invasive diagnostic tools to detect and differentiate MRSA and methicillin-sensitive S. aureus (MSSA) lung infections.

Purpose of the Study:

  • To develop and validate breath-based diagnostics for rapid, non-invasive detection of Staphylococcus lung infections.
  • To differentiate between MRSA and MSSA infections in situ using breath analysis.
  • To establish the feasibility of using breathprinting for early pathogen identification.

Main Methods:

  • Utilized a murine lung infection model to simulate Staphylococcus aureus infections.
  • Employed secondary electrospray ionization-mass spectrometry (SESI-MS) breathprinting for volatile organic compound analysis.
  • Applied principal components analysis (PCA) to differentiate breathprints between MRSA and MSSA infected subjects.

Main Results:

  • SESI-MS breathprinting successfully identified isogenic strains of MRSA and MSSA in the lung 24 hours post-inoculation.
  • Principal components analysis robustly separated MRSA and MSSA breathprints based on specific peak patterns.
  • The separation was driven by variations in shared, low-abundance, and rare peaks, indicating potential biomarker candidates.

Conclusions:

  • Breathprinting via SESI-MS offers a promising non-invasive method for rapid detection and differentiation of MRSA and MSSA lung infections.
  • Biomarker panels derived from breath analysis can enhance the sensitivity and specificity of these diagnostics.
  • This approach has the potential to significantly reduce mortality associated with invasive Staphylococcus aureus lung infections through earlier diagnosis.

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