Literature DB >> 27869104

Comparative analysis of the volatile metabolomes of Pseudomonas aeruginosa clinical isolates.

Heather D Bean1, Christiaan A Rees, Jane E Hill.   

Abstract

Pseudomonas aeruginosa is a nearly ubiquitous Gram-negative organism, well known to occupy a multitude of environmental niches and cause human infections at a variety of bodily sites, due to its metabolic flexibility, secondary to extensive genetic heterogeneity at the species level. Because of its dynamic metabolism and clinical importance, we sought to perform a comparative analysis on the volatile metabolome (the 'volatilome') produced by P. aeruginosa clinical isolates. In this study, we analyzed the headspace volatile molecules of 24 P. aeruginosa clinical isolates grown in vitro, using 2D gas chromatography time-of-flight mass spectrometry (GC  ×  GC-TOFMS). We identified 391 non-redundant compounds that we associate with the growth and metabolism of P. aeruginosa (the 'pan-volatilome'). Of these, 70 were produced by all 24 isolates (the 'core volatilome'), 52 by only a single isolate, and the remaining 269 volatile molecules by a subset. Sixty-five of the detected compounds could be assigned putative compound identifications, of which 43 had not previously been associated with P. aeruginosa. Using the accessory volatile molecules, we determined the inter-strain variation in the metabolomes of these isolates, clustering strains by their metabotypes. Assessing the extent of metabolomic diversity in P. aeruginosa through an analysis of the volatile molecules that it produces is a critical next step in the identification of novel diagnostic or prognostic biomarkers.

Entities:  

Mesh:

Year:  2016        PMID: 27869104      PMCID: PMC5266606          DOI: 10.1088/1752-7155/10/4/047102

Source DB:  PubMed          Journal:  J Breath Res        ISSN: 1752-7155            Impact factor:   3.262


  43 in total

1.  Multivariate analysis of bacterial volatile compound profiles for discrimination between selected species and strains in vitro.

Authors:  Robin Michael Statham Thorn; Darren Michael Reynolds; John Greenman
Journal:  J Microbiol Methods       Date:  2010-12-16       Impact factor: 2.363

2.  Detection of volatile metabolites produced by bacterial growth in blood culture media by selected ion flow tube mass spectrometry (SIFT-MS).

Authors:  Randall A Allardyce; Vaughan S Langford; Alex L Hill; David R Murdoch
Journal:  J Microbiol Methods       Date:  2005-10-24       Impact factor: 2.363

3.  Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics.

Authors:  Frank Dieterle; Alfred Ross; Götz Schlotterbeck; Hans Senn
Journal:  Anal Chem       Date:  2006-07-01       Impact factor: 6.986

4.  Quantification of methyl thiocyanate in the headspace of Pseudomonas aeruginosa cultures and in the breath of cystic fibrosis patients by selected ion flow tube mass spectrometry.

Authors:  Violetta Shestivska; Alexandr Nemec; Pavel Dřevínek; Kristýna Sovová; Kseniya Dryahina; Patrik Spaněl
Journal:  Rapid Commun Mass Spectrom       Date:  2011-09-15       Impact factor: 2.419

Review 5.  Genomics of secondary metabolite production by Pseudomonas spp.

Authors:  Harald Gross; Joyce E Loper
Journal:  Nat Prod Rep       Date:  2009-10-01       Impact factor: 13.423

6.  Tobramycin-Treated Pseudomonas aeruginosa PA14 Enhances Streptococcus constellatus 7155 Biofilm Formation in a Cystic Fibrosis Model System.

Authors:  Katherine E Price; Amanda A Naimie; Edward F Griffin; Charles Bay; George A O'Toole
Journal:  J Bacteriol       Date:  2015-10-19       Impact factor: 3.490

7.  Use of 2-aminoacetophenone production in identification of Pseudomonas aeruginosa.

Authors:  C D Cox; J Parker
Journal:  J Clin Microbiol       Date:  1979-04       Impact factor: 5.948

Review 8.  Pseudomonas aeruginosa: targeting cell-wall metabolism for new antibacterial discovery and development.

Authors:  Ryan P Lamers; Lori L Burrows
Journal:  Future Med Chem       Date:  2016-05-26       Impact factor: 3.808

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

Authors:  George Preti; Erica Thaler; C William Hanson; Michelle Troy; Jason Eades; Alan Gelperin
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2009-05-21       Impact factor: 3.205

10.  Mannitol Does Not Enhance Tobramycin Killing of Pseudomonas aeruginosa in a Cystic Fibrosis Model System of Biofilm Formation.

Authors:  Katherine E Price; Giulia Orazi; Kathryn L Ruoff; Wesley P Hebert; George A O'Toole; Paul Mastoridis
Journal:  PLoS One       Date:  2015-10-27       Impact factor: 3.240

View more
  20 in total

1.  Volatile fingerprinting of Pseudomonas aeruginosa and respiratory syncytial virus infection in an in vitro cystic fibrosis co-infection model.

Authors:  Giorgia Purcaro; Christiaan A Rees; Jeffrey A Melvin; Jennifer M Bomberger; Jane E Hill
Journal:  J Breath Res       Date:  2018-07-03       Impact factor: 3.262

2.  Comprehensive volatile metabolic fingerprinting of bacterial and fungal pathogen groups.

Authors:  Christiaan A Rees; Alison Burklund; Pierre-Hugues Stefanuto; Joseph D Schwartzman; Jane E Hill
Journal:  J Breath Res       Date:  2018-01-03       Impact factor: 3.262

3.  A minimally-invasive method for profiling volatile organic compounds within postmortem internal gas reservoirs.

Authors:  Katelynn A Perrault; Pierre-Hugues Stefanuto; Lena M Dubois; Vincent Varlet; Silke Grabherr; Jean-François Focant
Journal:  Int J Legal Med       Date:  2017-06-15       Impact factor: 2.686

4.  Breath metabolome of mice infected with Pseudomonas aeruginosa.

Authors:  Giorgia Purcaro; Mavra Nasir; Flavio A Franchina; Christiaan A Rees; Minara Aliyeva; Nirav Daphtary; Matthew J Wargo; Lennart K A Lundblad; Jane E Hill
Journal:  Metabolomics       Date:  2019-01-07       Impact factor: 4.290

5.  Sniffing out the hypoxia volatile metabolic signature of Aspergillus fumigatus.

Authors:  Christiaan A Rees; Pierre-Hugues Stefanuto; Sarah R Beattie; Katherine M Bultman; Robert A Cramer; Jane E Hill
Journal:  J Breath Res       Date:  2017-08-21       Impact factor: 3.262

6.  Addressing Missing Data in GC × GC Metabolomics: Identifying Missingness Type and Evaluating the Impact of Imputation Methods on Experimental Replication.

Authors:  Trenton J Davis; Tarek R Firzli; Emily A Higgins Keppler; Matthew Richardson; Heather D Bean
Journal:  Anal Chem       Date:  2022-07-26       Impact factor: 8.008

7.  Volatile molecules from bronchoalveolar lavage fluid can 'rule-in' Pseudomonas aeruginosa and 'rule-out' Staphylococcus aureus infections in cystic fibrosis patients.

Authors:  Mavra Nasir; Heather D Bean; Agnieszka Smolinska; Christiaan A Rees; Edith T Zemanick; Jane E Hill
Journal:  Sci Rep       Date:  2018-01-16       Impact factor: 4.379

8.  Volatile compounds emission from teratogenic human pluripotent stem cells observed during their differentiation in vivo.

Authors:  Rosamaria Capuano; Paola Spitalieri; Rosa Valentina Talarico; Alexandro Catini; Ana Carolina Domakoski; Eugenio Martinelli; Maria Giovanna Scioli; Augusto Orlandi; Rosella Cicconi; Roberto Paolesse; Giuseppe Novelli; Corrado Di Natale; Federica Sangiuolo
Journal:  Sci Rep       Date:  2018-07-23       Impact factor: 4.379

9.  Detection of high-risk carbapenem-resistant Klebsiella pneumoniae and Enterobacter cloacae isolates using volatile molecular profiles.

Authors:  Christiaan A Rees; Mavra Nasir; Agnieszka Smolinska; Alexa E Lewis; Katherine R Kane; Shannon E Kossmann; Orkan Sezer; Paola C Zucchi; Yohei Doi; Elizabeth B Hirsch; Jane E Hill
Journal:  Sci Rep       Date:  2018-09-05       Impact factor: 4.379

10.  Metabolomic richness and fingerprints of deep-sea coral species and populations.

Authors:  Samuel A Vohsen; Charles R Fisher; Iliana B Baums
Journal:  Metabolomics       Date:  2019-03-02       Impact factor: 4.290

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.