| Title: | Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria |
| Author(s): | Kunze-Szikszay N; Euler M; Kuhns M; Thiess M; Gross U; Quintel M; Perl T; |
| Address: | "Department of Anesthesiology, University Medical Center Gottingen, Robert-Koch-Strasse 40, 37075, Gottingen, Germany. nils.kunze@med.uni-goettingen.de. Department of Anesthesiology, University Medical Center Gottingen, Robert-Koch-Strasse 40, 37075, Gottingen, Germany. Institute for Medical Microbiology, University of Gottingen, Kreuzbergring 57, 37075, Gottingen, Germany. Institute of Plant Science and Microbiology, Molecular Plant Genetics, University of Hamburg, Ohnhornstrasse 18, 22609, Hamburg, Germany. Department of General, Visceral and Pediatric Surgery, University Medical Center Gottingen, Robert-Koch-Strasse 40, 37075, Gottingen, Germany" |
| DOI: | 10.1186/s12866-021-02102-8 |
| ISSN/ISBN: | 1471-2180 (Electronic) 1471-2180 (Linking) |
| Abstract: | "BACKGROUND: Hospital-acquired pneumonia (HAP) is a common problem in intensive care medicine and the patient outcome depends on the fast beginning of adequate antibiotic therapy. Until today pathogen identification is performed using conventional microbiological methods with turnaround times of at least 24 h for the first results. It was the aim of this study to investigate the potential of headspace analyses detecting bacterial species-specific patterns of volatile organic compounds (VOCs) for the rapid differentiation of HAP-relevant bacteria. METHODS: Eleven HAP-relevant bacteria (Acinetobacter baumanii, Acinetobacter pittii, Citrobacter freundii, Enterobacter cloacae, Escherichia coli, Klebsiella oxytoca, Klebsiella pneumoniae, Pseudomonas aeruginosa, Proteus mirabilis, Staphylococcus aureus, Serratia marcescens) were each grown for 6 hours in Lysogeny Broth and the headspace over the grown cultures was investigated using multi-capillary column-ion mobility spectrometry (MCC-IMS) to detect differences in the VOC composition between the bacteria in the panel. Peak areas with changing signal intensities were statistically analysed, including significance testing using one-way ANOVA or Kruskal-Wallis test (p < 0.05). RESULTS: 30 VOC signals (23 in the positive ion mode and 7 in the negative ion mode of the MCC-IMS) showed statistically significant differences in at least one of the investigated bacteria. The VOC patterns of the bacteria within the HAP panel differed substantially and allowed species differentiation. CONCLUSIONS: MCC-IMS headspace analyses allow differentiation of bacteria within HAP-relevant panel after 6 h of incubation in a complex fluid growth medium. The method has the potential to be developed towards a feasible point-of-care diagnostic tool for pathogen differentiation on HAP" |
| Keywords: | Bacteria/*chemistry/isolation & purification Healthcare-Associated Pneumonia/diagnosis/*microbiology Humans *Ion Mobility Spectrometry Microbiological Techniques/instrumentation/*methods Species Specificity Volatile Organic Compounds/analysis Ion mobility; |
| Notes: | "MedlineKunze-Szikszay, Nils Euler, Maximilian Kuhns, Martin Thiess, Melanie Gross, Uwe Quintel, Michael Perl, Thorsten eng Research Support, Non-U.S. Gov't England 2021/03/02 BMC Microbiol. 2021 Feb 28; 21(1):69. doi: 10.1186/s12866-021-02102-8" |
