Literature DB >> 19535529

Evaluation of new preanalysis sample treatment tools and DNA isolation protocols to improve bacterial pathogen detection in whole blood.

Wendy L J Hansen1, Cathrien A Bruggeman, Petra F G Wolffs.   

Abstract

Two novel preanalysis sample treatment tools were evaluated in combination with four DNA extraction kits for the selective isolation of bacterial DNA from whole blood. The combination of performing a preanalysis sample treatment and using a larger sample volume increased the detection limit to 50 CFU per ml.

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Year:  2009        PMID: 19535529      PMCID: PMC2725680          DOI: 10.1128/JCM.00821-09

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  11 in total

1.  Purification and characterization of PCR-inhibitory components in blood cells.

Authors:  W A Al-Soud; P Rådström
Journal:  J Clin Microbiol       Date:  2001-02       Impact factor: 5.948

2.  Optimal DNA isolation method for detection of bacteria in clinical specimens by broad-range PCR.

Authors:  Kaisu Rantakokko-Jalava; Jari Jalava
Journal:  J Clin Microbiol       Date:  2002-11       Impact factor: 5.948

3.  Real-time quantitative broad-range PCR assay for detection of the 16S rRNA gene followed by sequencing for species identification.

Authors:  Franziska Zucol; Roland A Ammann; Christoph Berger; Christoph Aebi; Martin Altwegg; Felix K Niggli; David Nadal
Journal:  J Clin Microbiol       Date:  2006-08       Impact factor: 5.948

Review 4.  Advances in nucleic acid-based diagnostics of bacterial infections.

Authors:  Kim B Barken; Janus A J Haagensen; Tim Tolker-Nielsen
Journal:  Clin Chim Acta       Date:  2007-07-13       Impact factor: 3.786

5.  Strategy for optimizing DNA amplification in a peripheral blood PCR assay used for diagnosis of human brucellosis.

Authors:  P Morata; M I Queipo-Ortuño; J de Dios Colmenero
Journal:  J Clin Microbiol       Date:  1998-09       Impact factor: 5.948

Review 6.  Inhibition and facilitation of nucleic acid amplification.

Authors:  I G Wilson
Journal:  Appl Environ Microbiol       Date:  1997-10       Impact factor: 4.792

7.  Relief of amplification inhibition in PCR with bovine serum albumin or T4 gene 32 protein.

Authors:  C A Kreader
Journal:  Appl Environ Microbiol       Date:  1996-03       Impact factor: 4.792

8.  The population structure of Staphylococcus aureus among general practice patients from The Netherlands.

Authors:  G A Donker; R H Deurenberg; C Driessen; S Sebastian; S Nys; E E Stobberingh
Journal:  Clin Microbiol Infect       Date:  2009-01-28       Impact factor: 8.067

9.  Detection and differentiation of in vitro-spiked bacteria by real-time PCR and melting-curve analysis.

Authors:  S Klaschik; L E Lehmann; A Raadts; M Book; J Gebel; A Hoeft; F Stuber
Journal:  J Clin Microbiol       Date:  2004-02       Impact factor: 5.948

10.  Selective isolation of bacterial DNA from human clinical specimens.

Authors:  Hans-Peter Horz; Sebastian Scheer; Frank Huenger; Morgana E Vianna; Georg Conrads
Journal:  J Microbiol Methods       Date:  2007-11-28       Impact factor: 2.363

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  20 in total

1.  Improved sensitivity for molecular detection of bacterial and Candida infections in blood.

Authors:  Andrea Bacconi; Gregory S Richmond; Michelle A Baroldi; Thomas G Laffler; Lawrence B Blyn; Heather E Carolan; Mark R Frinder; Donna M Toleno; David Metzgar; Jose R Gutierrez; Christian Massire; Megan Rounds; Natalie J Kennel; Richard E Rothman; Stephen Peterson; Karen C Carroll; Teresa Wakefield; David J Ecker; Rangarajan Sampath
Journal:  J Clin Microbiol       Date:  2014-06-20       Impact factor: 5.948

2.  Application of immobilized synthetic anti-lipopolysaccharide peptides for the isolation and detection of bacteria.

Authors:  N Sandetskaya; B Engelmann; K Brandenburg; D Kuhlmeier
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-05-19       Impact factor: 3.267

3.  Evaluation of MolYsis™ Complete5 DNA extraction method for detecting Staphylococcus aureus DNA from whole blood in a sepsis model using PCR/pyrosequencing.

Authors:  Chase D McCann; Jeanne A Jordan
Journal:  J Microbiol Methods       Date:  2014-02-03       Impact factor: 2.363

Review 4.  Developments for improved diagnosis of bacterial bloodstream infections.

Authors:  A J M Loonen; P F G Wolffs; C A Bruggeman; A J C van den Brule
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-05-22       Impact factor: 3.267

Review 5.  Will polymerase chain reaction (PCR)-based diagnostics improve outcome in septic patients? A clinical view.

Authors:  Mathias W Pletz; Nele Wellinghausen; Tobias Welte
Journal:  Intensive Care Med       Date:  2011-05-15       Impact factor: 17.440

6.  Detection of Salmonella enterica in Meat in Less than 5 Hours by a Low-Cost and Noncomplex Sample Preparation Method.

Authors:  M S R Fachmann; C Löfström; J Hoorfar; F Hansen; J Christensen; S Mansdal; M H Josefsen
Journal:  Appl Environ Microbiol       Date:  2017-02-15       Impact factor: 4.792

7.  Molecular probes for diagnosis of clinically relevant bacterial infections in blood cultures.

Authors:  Wendy L J Hansen; Judith Beuving; Cathrien A Bruggeman; Petra F G Wolffs
Journal:  J Clin Microbiol       Date:  2010-10-20       Impact factor: 5.948

8.  Comparison of microbial DNA enrichment tools for metagenomic whole genome sequencing.

Authors:  Matthew Thoendel; Patricio R Jeraldo; Kerryl E Greenwood-Quaintance; Janet Z Yao; Nicholas Chia; Arlen D Hanssen; Matthew P Abdel; Robin Patel
Journal:  J Microbiol Methods       Date:  2016-05-26       Impact factor: 2.363

9.  A PDMS/paper/glass hybrid microfluidic biochip integrated with aptamer-functionalized graphene oxide nano-biosensors for one-step multiplexed pathogen detection.

Authors:  Peng Zuo; XiuJun Li; Delfina C Dominguez; Bang-Ce Ye
Journal:  Lab Chip       Date:  2013-10-07       Impact factor: 6.799

10.  Improved detection of bacterial central nervous system infections by use of a broad-range PCR assay.

Authors:  T Meyer; G Franke; S K A Polywka; M Lütgehetmann; J Gbadamosi; T Magnus; M Aepfelbacher
Journal:  J Clin Microbiol       Date:  2014-03-12       Impact factor: 5.948

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