3.8 Article

Identification of Potential Urinary Metabolite Biomarkers of Pseudomonas aeruginosa Ventilator-Associated Pneumonia

Journal

BIOMARKER INSIGHTS
Volume 17, Issue -, Pages -

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/11772719221099131

Keywords

Hospital-acquired pneumonia; VAP; Pseudomonas aeruginosa; urine biomarkers; metabolomics; mass spectrometry

Funding

  1. Innovative Medicines Initiative (IMI) [RAPP-ID 115153, Combacte- Magnet 115737-2]
  2. Flemish Fund for Scientific Research [FWO-G051312N]
  3. Flemish Institute for Science and technology [IWT SBO-140746]
  4. GOA BOF grant of the University of Antwerp [30729]
  5. [IWT-SB111664]
  6. [FWO- SB151525]

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In mechanically ventilated patients, there are significant differences in urine metabolites between VAP-PA and VAP caused by other bacteria as well as non-VAP timepoints. We have identified 3 highly upregulated and highly specific metabolites in VAP-PA that are completely absent in pre-infection timepoints and the VAP-non-PA group.
INTRODUCTION: Ventilator-associated pneumonia (VAP) caused by Pseudomonas aeruginosa is a major cause of morbidity and mortality in hospital intensive care units (ICU). Rapid identification of P. aeruginosa-derived markers in easily accessible patients' samples can enable an early detection of P. aeruginosa VAP (VAP-PA), thereby stewarding antibiotic use and improving clinical outcomes. METHODS: Metabolites were analysed using liquid chromatography-mass spectrometry (LC-MS) in prospectively collected urine samples from mechanically ventilated patients admitted to the Antwerp University Hospital ICU. Patients were followed from the start of mechanical ventilation (n = 100 patients) till the time of clinical diagnosis of VAP (n = 13). Patients (n = 8) in whom diagnosis of VAP was further confirmed by culturing respiratory samples and urine samples were studied for semi-quantitative metabolomics. RESULTS: We first show that multivariate analyses highly discriminated VAP-PA from VAP-non-PA as well as from the pre-infection groups (R-2 = .97 and .98. respectively). A further univariate analysis identified 58 metabolites that were significantly elevated or uniquely present in VAP-PA compared to the VAP-non-PA and pre-infection groups (P<.05). These comprised both a known metabolite of histidine as well as a novel nicotine metabolite. Most interestingly, we identified 3 metabolites that were not only highly upregulated for, but were also highly specific to, VAP-PA, as these metabolites were completely absent in all pre-infection timepoints and in VAP-non-PA group. CONCLUSIONS: Considerable differences exist between urine metabolites in VAP-PA compared to VAP due to other bacterial aetiologies as well to non-VAP (pre-infection) timepoints. The unique urinary metabolic biomarkers we describe here. if further validated, could serve as highly specific diagnostic biomarkers of VAP-PA.

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