Volatile compounds characteristic of sinus-related bacteria and infected sinus mucus: Analysis by solid-phase microextraction and gas chromatography–mass spectrometry

Preti, George; Thaler, Erica R.; Hanson, C. William; Troy, Michelle; Eades, Jason; Gelperin, Alan

doi:10.1016/j.jchromb.2009.05.028

Cited by 94 publications

(88 citation statements)

References 55 publications

(57 reference statements)

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“…For this purpose, a special device for bacteria cultivation and adsorptive headspace preconcentration described previously was substantially modified (see Methods). In contrast with several earlier works (Julák et al, 2006;Preti et al, 2009;Schöller et al, 1997;Zechman et al, 1986) quantification of VOCs was performed as far as possible. Importantly, the qualitative analysis of the majority of released metabolites was confirmed by retention time in addition to mass spectral library match, ensuring unambiguous identification.…”

Section: Discussionmentioning

confidence: 98%

Characterization of volatile metabolites taken up by or released from Streptococcus pneumoniae and Haemophilus influenzae by using GC-MS

et al. 2012

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Volatile organic compounds (VOCs) released from or taken up by Streptococcus pneumoniae and Haemophilus influenzae cultures were analysed by means of GC-MS after adsorption of headspace samples on multi-bed sorption tubes. Sampling was performed at different time points during cultivation of bacteria to follow the dynamics of VOC metabolism. VOCs were identified not only by spectral library match but also based on retention times of native standards. As many as 34 volatile metabolites were released from S. pneumoniae and 28 from H. influenzae, comprising alcohols, aldehydes, esters, hydrocarbons, ketones and sulfur-containing compounds. For both species, acetic acid, acetaldehyde, methyl methacrylate, 2,3-butanedione and methanethiol were found in strongly elevated concentrations and 1-butanol and butanal in moderately elevated concentrations. In addition, characteristic volatile biomarkers were detected for both bacterial species and exclusively for S. pneumoniae, also catabolism of aldehydes (3-methylbutanal and hexanal) was found. The results obtained provide important input into the knowledge about volatile bacterial biomarkers, which may become particularly important for detection of pathogens in upper airways by breath-gas analysis in the future.

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Section: Discussionmentioning

confidence: 98%

Characterization of volatile metabolites taken up by or released from Streptococcus pneumoniae and Haemophilus influenzae by using GC-MS

et al. 2012

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“…Furthermore, microbial VOCs production and intensity are strongly influenced by growth media and conditions [24].…”

Section: Discussionmentioning

confidence: 99%

A rapid method for breath analysis in cystic fibrosis patients

Kramer

Sauer-Heilborn

Welte

et al. 2014

Eur J Clin Microbiol Infect Dis

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Purpose: For easy handling and speed of lung diseases diagnostic, approaches based on volatile organic compounds (VOCs), including those emitted by pathogenic microorganisms, are considered but currently require considerable sampling efforts. We tested whether easy to handle and fast detection of lung infections is possible using Solid-Phase-Micro-Extraction (SPME) of 100 ml of exhaled breath. Methods: An analytical procedure for the detection of VOCs from the headspace of epithelial lung cells infected with four human pathogens was developed. The feasibility of this method was tested in a cystic fibrosis (CF) outpatient clinic in vivo. Exhaled breath was extracted by SPME and analyzed by gas chromatography-mass spectrometry. Results: The compositions of VOCs released in the infection model were characteristic for all individual pathogens tested.Exhaled breath of CF patients allowed clear distinction of CF patients and controls by their VOC compositions using multivariate analyses. Interestingly, the major specific VOCs detected in exhaled breath of infected CF patients in vivo differed from those monitored during bacterial in vitro growth. Conclusions: SPME extraction of VOCs from 100 ml of human breath allowed the distinction between CF patients and healthy probands. Our results highlight the importance of assessing the entire pattern of VOCs instead of selected biomarkers for diagnostic purposes, as well as the need for using clinical samples to identify reliable biomarkers. This study provides the proof-of-concept for the approach using the composition of exhaled VOCs in human breath for rapid identification of infectious agents in patients with lower respiratory tract infections.

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“…It has been shown that pure cultures of these individual bacterial species emit distinct VOCs in their headspaces (121). E-nose analysis of nasal outbreath samples from patients with chronic sinusitis correctly discriminated diseased from healthy individuals in 80% of the samples (122).…”

Section: Other Infectionsmentioning

confidence: 99%

“…Using this technology, these authors identified 6 VOCs (C 6 to C 14 ) of potential relevance in the diagnosis of chronic sinusitis (123). SPME-GC-MS analysis of volatiles from infected sinus mucus samples showed many bacterium-specific VOCs, which were also identifiable in the headspace of in vitro cultures of individual species (121). Interestingly, the concentrations and characteristics of pathogen-associated VOCs emitted from infected mucus differed from those detected in the headspace of cultures representing the same bacterial species which caused the infection.…”

Section: Other Infectionsmentioning

confidence: 99%

“…Interestingly, the concentrations and characteristics of pathogen-associated VOCs emitted from infected mucus differed from those detected in the headspace of cultures representing the same bacterial species which caused the infection. A possible explanation for this finding could be that the nutritional environment and resident bacterial flora of the sinuses account for this difference (121).…”

Section: Other Infectionsmentioning

confidence: 99%

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Clinical Application of Volatile Organic Compound Analysis for Detecting Infectious Diseases

2013

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SUMMARY This review article introduces the significance of testing of volatile organic compounds (VOCs) in clinical samples and summarizes important features of some of the technologies. Compared to other human diseases such as cancer, studies on VOC analysis in cases of infectious diseases are limited. Here, we have described results of studies which have used some of the appropriate technologies to evaluate VOC biomarkers and biomarker profiles associated with infections. The publications reviewed include important infections of the respiratory tract, gastrointestinal tract, urinary tract, and nasal cavity. The results highlight the use of VOC biomarker profiles resulting from certain infectious diseases in discriminating between infected and healthy subjects. Infection-related VOC profiles measured in exhaled breath as well as from headspaces of feces or urine samples are a source of information with respect to disease detection. The volatiles emitted in clinical matrices may on the one hand represent metabolites of the infecting pathogen or on the other hand reflect pathogen-induced host responses or, indeed, a combination of both. Because exhaled-breath samples are easy to collect and online instruments are commercially available, VOC analysis in exhaled breath appears to be a promising tool for noninvasive detection and monitoring of infectious diseases.

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Volatile compounds characteristic of sinus-related bacteria and infected sinus mucus: Analysis by solid-phase microextraction and gas chromatography–mass spectrometry

Cited by 94 publications

References 55 publications

Characterization of volatile metabolites taken up by or released from Streptococcus pneumoniae and Haemophilus influenzae by using GC-MS

Characterization of volatile metabolites taken up by or released from Streptococcus pneumoniae and Haemophilus influenzae by using GC-MS

A rapid method for breath analysis in cystic fibrosis patients

Clinical Application of Volatile Organic Compound Analysis for Detecting Infectious Diseases

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