GC-IMS headspace analyses allow early recognition of bacterial growth and rapid pathogen differentiation in standard blood cultures

被引:40
作者
Drees, Carolin [1 ]
Vautz, Wolfgang [1 ,2 ]
Liedtke, Sascha [2 ]
Rosin, Christopher [3 ]
Althoff, Kirsten [3 ]
Lippmann, Martin [4 ]
Zimmermann, Stefan [4 ]
Legler, Tobias J. [5 ]
Yildiz, Duygu [6 ]
Perl, Thorsten [7 ]
Kunze-Szikszay, Nils [6 ]
机构
[1] Leibniz Inst Analytisehe Wissenschaflen ISAS eV, Bunsen Kirchhoff Str 11, D-44139 Dortmund, Germany
[2] ION GAS GmbH, Konrad Adenauer Allee 11, D-44263 Dortmund, Germany
[3] Gas Gesell Analyt Sensorsysteme GmbH, Otto Hahn Str 15, D-44227 Dortmund, Germany
[4] Leibniz Univ Hannover, Inst Grundlagen Elektrotech & Messtech, Appelstr 9A, D-30167 Hannover, Germany
[5] Univ Med Ctr Gottingen, Dept Transfus Med, Robert Koch Stra 40, D-37075 Gottingen, Germany
[6] Univ Med Ctr Gottingen, Dept Anesthesiol, Robert Koch Str 40, D-37075 Gottingen, Germany
[7] Univ Med Ctr Gottingen, Dept Gen Visceral & Pediat Surg, Robert Koch Str 40, D-37075 Gottingen, Germany
关键词
Rapid bacteria identification; Sepsis; Metabolomics; Ion mobility spectrometry; Volatile organic compounds; Headspace analysis; ION MOBILITY SPECTROMETRY; VOLATILE ORGANIC-COMPOUNDS; IDENTIFICATION; METABOLITES; SEPSIS; TIME;
D O I
10.1007/s00253-019-10181-x
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Outcome of patients with blood stream infections (BSI) depends on the rapid initiation of adequate antibiotic therapy, which relies on the fast and reliable identification of the underlying pathogen. Blood cultures (BC) using CO2-sensitive colorimetric indicators and subsequent microbiological culturing are the diagnostic gold standard but turnaround times range between 24 and 48 h. The detection of volatile organic compounds of microbial origin (mVOC) has been described as a feasible method for identifying microbial growth and to differentiate between several microbial species. In this study, we aimed to investigate the ability of mVOC analyses using a gas chromatograph coupled to an ion mobility spectrometer (GC-IMS) for the recognition of bacterial growth and bacterial differentiation in BCs. Therefore, samples of whole blood and diluted bacterial suspension were injected into aerobic and anaerobic BC bottles and incubated for 8 h. Headspace samples from cultures of Escherichia coli (DSM 25944), Staphylococcus aureus (DSM 13661), and Pseudomonas aeruginosa (DSM 1117) were investigated hourly and we determined at which point of time a differentiation between the bacteria was possible. We found specific mVOC signals in the headspace over growing BCs of all three bacterial species. GC-IMS headspace analyses allowed faster recognition of bacterial growth than the colorimetric indicator of the BCs. A differentiation between the three investigated species was possible after 6 h of incubation with a high reliability in the principal component analysis. We concluded that GC-IMS headspace analyses could be a helpful method for the rapid detection and identification of bacteria in BSI.
引用
收藏
页码:9091 / 9101
页数:11
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