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

Author:

Jongers Bart’s1ORCID,Hotterbeekx An1,Bielen Kenny12,Vervliet Philippe3,Boddaert Jan1,Lammens Christine2,Fransen Erik4,Baggerman Geert5,Covaci Adrian3,Goossens Herman2,Malhotra-Kumar Surbhi2,Jorens Philippe G6,Kumar-Singh Samir12

Affiliation:

1. Molecular Pathology Group, Laboratory of Cell Biology and Histology, Faculty of Medicine and Health Sciences, Wilrijk, Belgium

2. Laboratory of Medical Microbiology – Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium

3. Toxicological Centre, University of Antwerp, Wilrijk, Belgium

4. StatUa Center for Statistics, University of Antwerp, Antwerp, Belgium

5. CEPROMA – Centre for proteomics and mass spectrometry, Department of Biology, University of Antwerp, Antwerp, Belgium

6. Department of Critical Care Medicine, Antwerp University Hospital and University of Antwerp, LEMP, Edegem, Belgium

Abstract

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 ( R2 = .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.

Publisher

SAGE Publications

Subject

Biochemistry (medical),Pharmacology,Molecular Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pneumonia;Pulmonomics: Omics Approaches for Understanding Pulmonary Diseases;2023

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