Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dolch, Michael E., Janitza, Silke, Boulesteix, Anne-Laure, Graßmann-Lichtenauer, Carola, Praun, Siegfried, Denzer, Wolfgang, Schelling, Gustav, Schubert, Sören
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
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
_version_ 1782420791440179200
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
work_keys_str_mv AT dolchmichaele gramnegativeandpositivebacteriadifferentiationinbloodculturesamplesbyheadspacevolatilecompoundanalysis
AT janitzasilke gramnegativeandpositivebacteriadifferentiationinbloodculturesamplesbyheadspacevolatilecompoundanalysis
AT boulesteixannelaure gramnegativeandpositivebacteriadifferentiationinbloodculturesamplesbyheadspacevolatilecompoundanalysis
AT graßmannlichtenauercarola gramnegativeandpositivebacteriadifferentiationinbloodculturesamplesbyheadspacevolatilecompoundanalysis
AT praunsiegfried gramnegativeandpositivebacteriadifferentiationinbloodculturesamplesbyheadspacevolatilecompoundanalysis
AT denzerwolfgang gramnegativeandpositivebacteriadifferentiationinbloodculturesamplesbyheadspacevolatilecompoundanalysis
AT schellinggustav gramnegativeandpositivebacteriadifferentiationinbloodculturesamplesbyheadspacevolatilecompoundanalysis
AT schubertsoren gramnegativeandpositivebacteriadifferentiationinbloodculturesamplesbyheadspacevolatilecompoundanalysis