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Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis
BACKGROUND: Identification of microorganisms in positive blood cultures still relies on standard techniques such as Gram staining followed by culturing with definite microorganism identification. Alternatively, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry or the analy...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788920/ https://www.ncbi.nlm.nih.gov/pubmed/26973820 http://dx.doi.org/10.1186/s40709-016-0040-0 |
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author | Dolch, Michael E. Janitza, Silke Boulesteix, Anne-Laure Graßmann-Lichtenauer, Carola Praun, Siegfried Denzer, Wolfgang Schelling, Gustav Schubert, Sören |
author_facet | Dolch, Michael E. Janitza, Silke Boulesteix, Anne-Laure Graßmann-Lichtenauer, Carola Praun, Siegfried Denzer, Wolfgang Schelling, Gustav Schubert, Sören |
author_sort | Dolch, Michael E. |
collection | PubMed |
description | BACKGROUND: Identification of microorganisms in positive blood cultures still relies on standard techniques such as Gram staining followed by culturing with definite microorganism identification. Alternatively, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry or the analysis of headspace volatile compound (VC) composition produced by cultures can help to differentiate between microorganisms under experimental conditions. This study assessed the efficacy of volatile compound based microorganism differentiation into Gram-negatives and -positives in unselected positive blood culture samples from patients. METHODS: Headspace gas samples of positive blood culture samples were transferred to sterilized, sealed, and evacuated 20 ml glass vials and stored at −30 °C until batch analysis. Headspace gas VC content analysis was carried out via an auto sampler connected to an ion–molecule reaction mass spectrometer (IMR-MS). Measurements covered a mass range from 16 to 135 u including CO(2), H(2), N(2), and O(2). Prediction rules for microorganism identification based on VC composition were derived using a training data set and evaluated using a validation data set within a random split validation procedure. RESULTS: One-hundred-fifty-two aerobic samples growing 27 Gram-negatives, 106 Gram-positives, and 19 fungi and 130 anaerobic samples growing 37 Gram-negatives, 91 Gram-positives, and two fungi were analysed. In anaerobic samples, ten discriminators were identified by the random forest method allowing for bacteria differentiation into Gram-negative and -positive (error rate: 16.7 % in validation data set). For aerobic samples the error rate was not better than random. CONCLUSIONS: In anaerobic blood culture samples of patients IMR-MS based headspace VC composition analysis facilitates bacteria differentiation into Gram-negative and -positive. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40709-016-0040-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4788920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47889202016-03-13 Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis Dolch, Michael E. Janitza, Silke Boulesteix, Anne-Laure Graßmann-Lichtenauer, Carola Praun, Siegfried Denzer, Wolfgang Schelling, Gustav Schubert, Sören J Biol Res (Thessalon) Research BACKGROUND: Identification of microorganisms in positive blood cultures still relies on standard techniques such as Gram staining followed by culturing with definite microorganism identification. Alternatively, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry or the analysis of headspace volatile compound (VC) composition produced by cultures can help to differentiate between microorganisms under experimental conditions. This study assessed the efficacy of volatile compound based microorganism differentiation into Gram-negatives and -positives in unselected positive blood culture samples from patients. METHODS: Headspace gas samples of positive blood culture samples were transferred to sterilized, sealed, and evacuated 20 ml glass vials and stored at −30 °C until batch analysis. Headspace gas VC content analysis was carried out via an auto sampler connected to an ion–molecule reaction mass spectrometer (IMR-MS). Measurements covered a mass range from 16 to 135 u including CO(2), H(2), N(2), and O(2). Prediction rules for microorganism identification based on VC composition were derived using a training data set and evaluated using a validation data set within a random split validation procedure. RESULTS: One-hundred-fifty-two aerobic samples growing 27 Gram-negatives, 106 Gram-positives, and 19 fungi and 130 anaerobic samples growing 37 Gram-negatives, 91 Gram-positives, and two fungi were analysed. In anaerobic samples, ten discriminators were identified by the random forest method allowing for bacteria differentiation into Gram-negative and -positive (error rate: 16.7 % in validation data set). For aerobic samples the error rate was not better than random. CONCLUSIONS: In anaerobic blood culture samples of patients IMR-MS based headspace VC composition analysis facilitates bacteria differentiation into Gram-negative and -positive. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40709-016-0040-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-12 /pmc/articles/PMC4788920/ /pubmed/26973820 http://dx.doi.org/10.1186/s40709-016-0040-0 Text en © Dolch et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Dolch, Michael E. Janitza, Silke Boulesteix, Anne-Laure Graßmann-Lichtenauer, Carola Praun, Siegfried Denzer, Wolfgang Schelling, Gustav Schubert, Sören Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis |
title | Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis |
title_full | Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis |
title_fullStr | Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis |
title_full_unstemmed | Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis |
title_short | Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis |
title_sort | gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788920/ https://www.ncbi.nlm.nih.gov/pubmed/26973820 http://dx.doi.org/10.1186/s40709-016-0040-0 |
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