Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria
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...
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| Format: | Article |
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BMC
2021-02-01
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| Series: | BMC Microbiology |
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| Online Access: | https://doi.org/10.1186/s12866-021-02102-8 |
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| author | Nils Kunze-Szikszay Maximilian Euler Martin Kuhns Melanie Thieß Uwe Groß Michael Quintel Thorsten Perl |
| author_facet | Nils Kunze-Szikszay Maximilian Euler Martin Kuhns Melanie Thieß Uwe Groß Michael Quintel Thorsten Perl |
| author_sort | Nils Kunze-Szikszay |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T01:29:12Z |
| format | Article |
| id | doaj.art-da473b068507407a9049198c699b140e |
| institution | Directory Open Access Journal |
| issn | 1471-2180 |
| language | English |
| last_indexed | 2024-12-17T01:29:12Z |
| publishDate | 2021-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Microbiology |
| spelling | doaj.art-da473b068507407a9049198c699b140e2022-12-21T22:08:38ZengBMCBMC Microbiology1471-21802021-02-012111910.1186/s12866-021-02102-8Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteriaNils Kunze-Szikszay0Maximilian Euler1Martin Kuhns2Melanie Thieß3Uwe Groß4Michael Quintel5Thorsten Perl6Department of Anesthesiology, University Medical Center GöttingenDepartment of Anesthesiology, University Medical Center GöttingenInstitute for Medical Microbiology, University of GöttingenInstitute of Plant Science and Microbiology, Molecular Plant Genetics, University of HamburgInstitute for Medical Microbiology, University of GöttingenDepartment of Anesthesiology, University Medical Center GöttingenDepartment of General, Visceral and Pediatric Surgery, University Medical Center GöttingenAbstract 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.https://doi.org/10.1186/s12866-021-02102-8PneumoniaMicrobiological techniquesVolatile organic compoundMetaboliteIon mobility spectrometry |
| spellingShingle | Nils Kunze-Szikszay Maximilian Euler Martin Kuhns Melanie Thieß Uwe Groß Michael Quintel Thorsten Perl Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria BMC Microbiology Pneumonia Microbiological techniques Volatile organic compound Metabolite Ion mobility spectrometry |
| title | Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria |
| title_full | Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria |
| title_fullStr | Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria |
| title_full_unstemmed | Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria |
| title_short | Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria |
| title_sort | headspace analyses using multi capillary column ion mobility spectrometry allow rapid pathogen differentiation in hospital acquired pneumonia relevant bacteria |
| topic | Pneumonia Microbiological techniques Volatile organic compound Metabolite Ion mobility spectrometry |
| url | https://doi.org/10.1186/s12866-021-02102-8 |
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