Literature DB >> 19818395

DNA microarray-based identification of bacterial and fungal pathogens in bloodstream infections.

Seung Min Yoo1, Jun Yong Choi, Jung Kuk Yun, Jae Kyung Choi, So Youn Shin, Kyungwon Lee, June Myung Kim, Sang Yup Lee.   

Abstract

The accurate and rapid identification of pathogens in blood is a major challenge in clinical pathogen diagnostics because of the high mortality of sepsis. Here we report the development of DNA microarray for the identification of pathogens causing bloodstream infections. Species-specific and bacteria- and fungi-broad-ranged probes were designed to identify 50 bacteria and 7 fungi. The specificities and sensitivities of the selected probes were successfully validated by applying reference strains. To assess the performance of the DNA microarray in a clinical setting, blind tests were performed using 112 blood culture specimens that showed preliminary presence of pathogenic microorganisms by culture-based method, resulting in the correct identification of pathogens in 104 samples showing the sensitivity of 93%. In addition, closely-related species could be discriminated by the distinct hybridization patterns. This DNA microarray-based pathogen diagnosis takes approximately 10 h starting from a positive blood culture, considerably reducing time required to sufficiently identify pathogens by subsequent agar-culture and biochemical tests which requires altogether at least 1-3 days. Also, the amount of sample required for the identification of pathogens is much less than that required for biochemical assays. Thus, the DNA microarray reported here should be useful for the effective identification of microbial pathogens in blood cultures from septicemic patients. Copyright 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19818395     DOI: 10.1016/j.mcp.2009.09.003

Source DB:  PubMed          Journal:  Mol Cell Probes        ISSN: 0890-8508            Impact factor:   2.365


  13 in total

1.  Application of broad-spectrum resequencing microarray for genotyping rhabdoviruses.

Authors:  Laurent Dacheux; Nicolas Berthet; Gabriel Dissard; Edward C Holmes; Olivier Delmas; Florence Larrous; Ghislaine Guigon; Philip Dickinson; Ousmane Faye; Amadou A Sall; Iain G Old; Katherine Kong; Giulia C Kennedy; Jean-Claude Manuguerra; Stewart T Cole; Valérie Caro; Antoine Gessain; Hervé Bourhy
Journal:  J Virol       Date:  2010-07-07       Impact factor: 5.103

2.  Visual analysis of DNA microarray data for accurate molecular identification of non-albicans Candida isolates from patients with candidemia episodes.

Authors:  Michela De Luca Ferrari; Mariângela Ribeiro Resende; Kanae Sakai; Yasunori Muraosa; Luzia Lyra; Tohru Gonoi; Yuzuru Mikami; Kenichiro Tominaga; Katsuhiko Kamei; Angelica Zaninelli Schreiber; Plinio Trabasso; Maria Luiza Moretti
Journal:  J Clin Microbiol       Date:  2013-06-19       Impact factor: 5.948

3.  Rapid universal identification of bacterial pathogens from clinical cultures by using a novel sloppy molecular beacon melting temperature signature technique.

Authors:  Soumitesh Chakravorty; Bola Aladegbami; Michele Burday; Michael Levi; Salvatore A E Marras; Darshini Shah; Hiyam H El-Hajj; Fred Russell Kramer; David Alland
Journal:  J Clin Microbiol       Date:  2009-11-18       Impact factor: 5.948

4.  Development of a DNA microarray for enterococcal species, virulence, and antibiotic resistance gene determinations among isolates from poultry.

Authors:  J Champagne; M S Diarra; H Rempel; E Topp; C W Greer; J Harel; L Masson
Journal:  Appl Environ Microbiol       Date:  2011-02-18       Impact factor: 4.792

5.  Accurate and rapid identification of Candida spp. frequently associated with fungemia by using PCR and the microarray-based Prove-it Sepsis assay.

Authors:  Anne Aittakorpi; Pentti Kuusela; Pirkko Koukila-Kähkölä; Martti Vaara; Michael Petrou; Vanya Gant; Minna Mäki
Journal:  J Clin Microbiol       Date:  2012-09-05       Impact factor: 5.948

6.  High-throughput DNA microarray detection of pathogenic bacteria in shallow well groundwater in the Kathmandu Valley, Nepal.

Authors:  Daisuke Inoue; Takuji Hinoura; Noriko Suzuki; Junqin Pang; Rabin Malla; Sadhana Shrestha; Saroj Kumar Chapagain; Hiroaki Matsuzawa; Takashi Nakamura; Yasuhiro Tanaka; Michihiko Ike; Kei Nishida; Kazunari Sei
Journal:  Curr Microbiol       Date:  2014-08-22       Impact factor: 2.188

7.  Visible DNA Microarray System as an Adjunctive Molecular Test in Identification of Pathogenic Fungi Directly from a Blood Culture Bottle.

Authors:  Lais Lovison Sturaro; Tohru Gonoi; Ariane Fidelis Busso-Lopes; Cibele Aparecida Tararam; Carlos Emilio Levy; Luzia Lyra; Plinio Trabasso; Angélica Zaninelli Schreiber; Katsuhiko Kamei; Maria Luiza Moretti
Journal:  J Clin Microbiol       Date:  2018-04-25       Impact factor: 5.948

8.  Development and evaluation of oligonucleotide chip based on the 16S-23S rRNA gene spacer region for detection of pathogenic microorganisms associated with sepsis.

Authors:  Cheol Min Kim; Eun Sil Song; Hyun Jung Jang; Hyun-Ju Kim; Sangyeop Lee; Jeong Hwan Shin; Sun Joo Kim; Seok Hoon Jeong; Joseph Jeong; Kwangnak Koh; Go Eun Choi; Eun Yup Lee; Chulhun L Chang
Journal:  J Clin Microbiol       Date:  2010-03-17       Impact factor: 5.948

9.  Detection of extended-spectrum β-lactamase and Klebsiella pneumoniae Carbapenemase genes directly from blood cultures by use of a nucleic acid microarray.

Authors:  Joel T Fishbain; Oleg Sinyavskiy; Kathleen Riederer; Andrea M Hujer; Robert A Bonomo
Journal:  J Clin Microbiol       Date:  2012-06-20       Impact factor: 5.948

10.  PCR-reverse blot hybridization assay for screening and identification of pathogens in sepsis.

Authors:  Yeonim Choi; Hye-Young Wang; Gyusang Lee; Soon-Deok Park; Bo-Young Jeon; Young Uh; Jong Bae Kim; Hyeyoung Lee
Journal:  J Clin Microbiol       Date:  2013-02-27       Impact factor: 5.948

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