Literature DB >> 20148918

The exclusion of dead bacterial cells is essential for accurate molecular analysis of clinical samples.

G B Rogers1, P Marsh, A F Stressmann, C E Allen, T V W Daniels, M P Carroll, K D Bruce.   

Abstract

The DNA-based techniques used to detect bacteria in clinical samples are unable to discriminate between live bacteria, dead bacteria, and extracellular DNA. This failure to limit analysis to viable bacterial cells represents a significant problem, leading to false-positive results, as well as a failure to resolve the impact of antimicrobial therapy. The use of propidium monoazide treatment significantly reduces the contribution of dead cells and extracellular DNA to such culture-independent analyses. Here, the increased ability to resolve the impact of antibiotic therapy on Pseudomonas aeruginosa load in cystic fibrosis respiratory samples reveals statistically significant changes that would otherwise go undetected.

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Year:  2010        PMID: 20148918     DOI: 10.1111/j.1469-0691.2010.03189.x

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  35 in total

Review 1.  Next-generation sequencing in the analysis of human microbiota: essential considerations for clinical application.

Authors:  Geraint B Rogers; Kenneth D Bruce
Journal:  Mol Diagn Ther       Date:  2010-12-01       Impact factor: 4.074

2.  Effective photodynamic therapy against microbial populations in human deep tissue abscess aspirates.

Authors:  Constantine G Haidaris; Thomas H Foster; David L Waldman; Edward J Mathes; Joanne McNamara; Timothy Curran
Journal:  Lasers Surg Med       Date:  2013-08-29       Impact factor: 4.025

Review 3.  Enhancing the utility of existing antibiotics by targeting bacterial behaviour?

Authors:  Geraint B Rogers; Mary P Carroll; Kenneth D Bruce
Journal:  Br J Pharmacol       Date:  2012-02       Impact factor: 8.739

4.  Changes in cystic fibrosis airway microbiota at pulmonary exacerbation.

Authors:  Lisa A Carmody; Jiangchao Zhao; Patrick D Schloss; Joseph F Petrosino; Susan Murray; Vincent B Young; Jun Z Li; John J LiPuma
Journal:  Ann Am Thorac Soc       Date:  2013-06

5.  Culture-Independent Detection of Nontuberculous Mycobacteria in Clinical Respiratory Samples.

Authors:  Gianny P Scoleri; Jocelyn M Choo; Lex E X Leong; Thomas R Goddard; Lisa Shephard; Lucy D Burr; Ivan Bastian; Rachel M Thomson; Geraint B Rogers
Journal:  J Clin Microbiol       Date:  2016-07-13       Impact factor: 5.948

6.  Changes in the lung bacteriome in relation to antipseudomonal therapy in children with cystic fibrosis.

Authors:  Lenka Kramná; Pavel Dřevínek; Jake Lin; Michal Kulich; Ondrej Cinek
Journal:  Folia Microbiol (Praha)       Date:  2017-11-10       Impact factor: 2.099

Review 7.  Cystic Fibrosis Airway Microbiome: Overturning the Old, Opening the Way for the New.

Authors:  George A O'Toole
Journal:  J Bacteriol       Date:  2018-01-24       Impact factor: 3.490

Review 8.  Emerging Technologies for Molecular Diagnosis of Sepsis.

Authors:  Mridu Sinha; Julietta Jupe; Hannah Mack; Todd P Coleman; Shelley M Lawrence; Stephanie I Fraley
Journal:  Clin Microbiol Rev       Date:  2018-02-28       Impact factor: 26.132

Review 9.  Revealing the dynamics of polymicrobial infections: implications for antibiotic therapy.

Authors:  Geraint B Rogers; Lucas R Hoffman; Marvin Whiteley; Thomas W V Daniels; Mary P Carroll; Kenneth D Bruce
Journal:  Trends Microbiol       Date:  2010-06-01       Impact factor: 17.079

10.  A Winogradsky-based culture system shows an association between microbial fermentation and cystic fibrosis exacerbation.

Authors:  Robert A Quinn; Katrine Whiteson; Yan-Wei Lim; Peter Salamon; Barbara Bailey; Simone Mienardi; Savannah E Sanchez; Don Blake; Doug Conrad; Forest Rohwer
Journal:  ISME J       Date:  2015-03-17       Impact factor: 10.302

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