Blood Culture Headspace Gas Analysis Enables Early Detection of <i>Escherichia coli</i> Bacteremia in an Animal Model of Sepsis
(1) Background: Automated blood culture headspace analysis for the detection of volatile organic compounds of microbial origin (mVOC) could be a non-invasive method for bedside rapid pathogen identification. We investigated whether analyzing the gaseous headspace of blood culture (BC) bottles throug...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Antibiotics |
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| Online Access: | https://www.mdpi.com/2079-6382/11/8/992 |
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| author | Maximilian Euler Thorsten Perl Isabell Eickel Anna Dudakova Esther Maguilla Rosado Carolin Drees Wolfgang Vautz Johannes Wieditz Konrad Meissner Nils Kunze-Szikszay |
| author_facet | Maximilian Euler Thorsten Perl Isabell Eickel Anna Dudakova Esther Maguilla Rosado Carolin Drees Wolfgang Vautz Johannes Wieditz Konrad Meissner Nils Kunze-Szikszay |
| author_sort | Maximilian Euler |
| collection | DOAJ |
| description | (1) Background: Automated blood culture headspace analysis for the detection of volatile organic compounds of microbial origin (mVOC) could be a non-invasive method for bedside rapid pathogen identification. We investigated whether analyzing the gaseous headspace of blood culture (BC) bottles through gas chromatography-ion mobility spectrometry (GC-IMS) enables differentiation of infected and non-infected; (2) Methods: BC were gained out of a rabbit model, with sepsis induced by intravenous administration of <i>E. coli</i> (EC group; <i>n</i> = 6) and control group (<i>n</i> = 6) receiving sterile LB medium intravenously. After 10 h, a pair of blood cultures was obtained and incubated for 36 h. The headspace from aerobic and anaerobic BC was sampled every two hours using an autosampler and analyzed using a GC-IMS device. MALDI-TOF MS was performed to confirm or exclude microbial growth in BCs; (3) Results: Signal intensities (SI) of 113 mVOC peak regions were statistically analyzed. In 24 regions, the SI trends differed between the groups and were considered to be useful for differentiation. The principal component analysis showed differentiation between EC and control group after 6 h, with 62.2% of the data variance described by the principal components 1 and 2. Single peak regions, for example peak region P_15, show significant SI differences after 6 h in the anaerobic environment (<i>p</i> < 0.001) and after 8 h in the aerobic environment (<i>p</i> < 0.001); (4) Conclusions: The results are promising and warrant further evaluation in studies with an extended microbial panel and indications concerning its transferability to human samples. |
| first_indexed | 2024-03-09T04:46:47Z |
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| institution | Directory Open Access Journal |
| issn | 2079-6382 |
| language | English |
| last_indexed | 2024-03-09T04:46:47Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Antibiotics |
| spelling | doaj.art-4b7be11a2d4d4177af04cc29e1bade112023-12-03T13:14:05ZengMDPI AGAntibiotics2079-63822022-07-0111899210.3390/antibiotics11080992Blood Culture Headspace Gas Analysis Enables Early Detection of <i>Escherichia coli</i> Bacteremia in an Animal Model of SepsisMaximilian Euler0Thorsten Perl1Isabell Eickel2Anna Dudakova3Esther Maguilla Rosado4Carolin Drees5Wolfgang Vautz6Johannes Wieditz7Konrad Meissner8Nils Kunze-Szikszay9Department of Anesthesiology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, GermanyDepartment of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, GermanyDepartment of Anesthesiology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, GermanyDepartment of Medical Microbiology and Virology, University Medical Center Göttingen, Kreuzbergring 57, 37075 Göttingen, GermanyDepartment of Medical Microbiology and Virology, University Medical Center Göttingen, Kreuzbergring 57, 37075 Göttingen, GermanyLeibniz-Institute for Analytical Sciences—ISAS—e.V., Bunsen-Kirchhoff-Straße 11, 44139 Dortmund, GermanyLeibniz-Institute for Analytical Sciences—ISAS—e.V., Bunsen-Kirchhoff-Straße 11, 44139 Dortmund, GermanyDepartment of Anesthesiology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, GermanyDepartment of Anesthesiology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, GermanyDepartment of Anesthesiology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, Germany(1) Background: Automated blood culture headspace analysis for the detection of volatile organic compounds of microbial origin (mVOC) could be a non-invasive method for bedside rapid pathogen identification. We investigated whether analyzing the gaseous headspace of blood culture (BC) bottles through gas chromatography-ion mobility spectrometry (GC-IMS) enables differentiation of infected and non-infected; (2) Methods: BC were gained out of a rabbit model, with sepsis induced by intravenous administration of <i>E. coli</i> (EC group; <i>n</i> = 6) and control group (<i>n</i> = 6) receiving sterile LB medium intravenously. After 10 h, a pair of blood cultures was obtained and incubated for 36 h. The headspace from aerobic and anaerobic BC was sampled every two hours using an autosampler and analyzed using a GC-IMS device. MALDI-TOF MS was performed to confirm or exclude microbial growth in BCs; (3) Results: Signal intensities (SI) of 113 mVOC peak regions were statistically analyzed. In 24 regions, the SI trends differed between the groups and were considered to be useful for differentiation. The principal component analysis showed differentiation between EC and control group after 6 h, with 62.2% of the data variance described by the principal components 1 and 2. Single peak regions, for example peak region P_15, show significant SI differences after 6 h in the anaerobic environment (<i>p</i> < 0.001) and after 8 h in the aerobic environment (<i>p</i> < 0.001); (4) Conclusions: The results are promising and warrant further evaluation in studies with an extended microbial panel and indications concerning its transferability to human samples.https://www.mdpi.com/2079-6382/11/8/992bloodstream infectionsgas chromatography-ion mobility spectrometry (GC-IMS)microbial diagnosticsvolatile organic compounds (VOCs)rapid pathogen identificationbacteremia |
| spellingShingle | Maximilian Euler Thorsten Perl Isabell Eickel Anna Dudakova Esther Maguilla Rosado Carolin Drees Wolfgang Vautz Johannes Wieditz Konrad Meissner Nils Kunze-Szikszay Blood Culture Headspace Gas Analysis Enables Early Detection of <i>Escherichia coli</i> Bacteremia in an Animal Model of Sepsis Antibiotics bloodstream infections gas chromatography-ion mobility spectrometry (GC-IMS) microbial diagnostics volatile organic compounds (VOCs) rapid pathogen identification bacteremia |
| title | Blood Culture Headspace Gas Analysis Enables Early Detection of <i>Escherichia coli</i> Bacteremia in an Animal Model of Sepsis |
| title_full | Blood Culture Headspace Gas Analysis Enables Early Detection of <i>Escherichia coli</i> Bacteremia in an Animal Model of Sepsis |
| title_fullStr | Blood Culture Headspace Gas Analysis Enables Early Detection of <i>Escherichia coli</i> Bacteremia in an Animal Model of Sepsis |
| title_full_unstemmed | Blood Culture Headspace Gas Analysis Enables Early Detection of <i>Escherichia coli</i> Bacteremia in an Animal Model of Sepsis |
| title_short | Blood Culture Headspace Gas Analysis Enables Early Detection of <i>Escherichia coli</i> Bacteremia in an Animal Model of Sepsis |
| title_sort | blood culture headspace gas analysis enables early detection of i escherichia coli i bacteremia in an animal model of sepsis |
| topic | bloodstream infections gas chromatography-ion mobility spectrometry (GC-IMS) microbial diagnostics volatile organic compounds (VOCs) rapid pathogen identification bacteremia |
| url | https://www.mdpi.com/2079-6382/11/8/992 |
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