Literature DB >> 10937778

Detection and identification of fungi in blood using broad-range 28S rDNA PCR amplification and species-specific hybridisation.

U Evertsson1, H J Monstein, A G Johansson.   

Abstract

The aim of the present study was to develop a PCR-based method to detect and identify fungi directly from human venous blood. We used broad-range PCR primers that targeted a part of the large subunit 28S rRNA genes. To obtain species-specific hybridisation probes, type strains of Candida albicans, C. glabrata, C. krusei, C. parapsilosis, C. tropicalis and Cryptococcus neoformans were PCR amplified, and the amplicons were analysed by gene sequencing. Based on the sequence analysis, species-specific probes that targeted variable regions were designed and used in hybridisation analyses. Between 2 to 10 fungal cells/ml of spiked blood samples could be detected and correctly identified to species. We applied the technique to blood samples obtained from two patients with or two patients without verified candidaemia. The three samples of candidaemia patients were correctly identified to species level, and those of the negative patients remained negative. This method is a potential tool for diagnosis of systemic invasive candidiasis.

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Year:  2000        PMID: 10937778     DOI: 10.1034/j.1600-0463.2000.d01-73.x

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  13 in total

1.  Microarray-based identification of bacteria in clinical samples by solid-phase PCR amplification of 23S ribosomal DNA sequences.

Authors:  Georg Mitterer; Martin Huber; Ernst Leidinger; Claudia Kirisits; Werner Lubitz; Manfred W Mueller; Wolfgang M Schmidt
Journal:  J Clin Microbiol       Date:  2004-03       Impact factor: 5.948

2.  Development and clinical application of a panfungal PCR assay to detect and identify fungal DNA in tissue specimens.

Authors:  Anna Lau; Sharon Chen; Tania Sorrell; Dee Carter; Richard Malik; Patricia Martin; Catriona Halliday
Journal:  J Clin Microbiol       Date:  2006-11-22       Impact factor: 5.948

3.  Sequencing and analysis of fungal rRNA operons for development of broad-range fungal PCR assays.

Authors:  Prasanna D Khot; Daisy L Ko; David N Fredricks
Journal:  Appl Environ Microbiol       Date:  2009-01-09       Impact factor: 4.792

4.  Identification of medically important molds by an oligonucleotide array.

Authors:  Chen Ren Hsiao; Liyin Huang; Jean-Philippe Bouchara; Richard Barton; Hsin Chieh Li; Tsung Chain Chang
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

Review 5.  Molecular microbiological methods in the diagnosis of neonatal sepsis.

Authors:  Mohan Venkatesh; Angela Flores; Ruth Ann Luna; James Versalovic
Journal:  Expert Rev Anti Infect Ther       Date:  2010-09       Impact factor: 5.091

6.  Detection of Cryptococcus neoformans DNA in tissue samples by nested and real-time PCR assays.

Authors:  Ralf Bialek; Michael Weiss; Kubrom Bekure-Nemariam; Laura K Najvar; Maria B Alberdi; John R Graybill; Udo Reischl
Journal:  Clin Diagn Lab Immunol       Date:  2002-03

Review 7.  PCR-based diagnosis of human fungal infections.

Authors:  Prasanna D Khot; David N Fredricks
Journal:  Expert Rev Anti Infect Ther       Date:  2009-12       Impact factor: 5.091

8.  Rapid identification of pathogenic fungi directly from cultures by using multiplex PCR.

Authors:  Guizhen Luo; Thomas G Mitchell
Journal:  J Clin Microbiol       Date:  2002-08       Impact factor: 5.948

9.  Simultaneous detection and identification of Candida, Aspergillus, and Cryptococcus species by reverse line blot hybridization.

Authors:  E Geoffrey Playford; Fanrong Kong; Ying Sun; Hui Wang; Catriona Halliday; Tania C Sorrell
Journal:  J Clin Microbiol       Date:  2006-03       Impact factor: 5.948

Review 10.  The era of molecular and other non-culture-based methods in diagnosis of sepsis.

Authors:  Nicasio Mancini; Silvia Carletti; Nadia Ghidoli; Paola Cichero; Roberto Burioni; Massimo Clementi
Journal:  Clin Microbiol Rev       Date:  2010-01       Impact factor: 26.132

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