Abstract:
:A DNA microarray platform, based on the nucleotide sequences of the internal transcribed spacer regions (ITS1 and ITS2) of the rRNA gene, was developed to identify 32 fungal pathogens at the species level. The probe sequences were spotted onto polycarbonate slides with a mini-microarray printer, and after the hybridization, the results were visible with the naked eye. The performance of the microarray platform was evaluated against the commercial automated systems (Vitek 2 and BD Phoenix systems) and DNA sequencing (gold standard). A total of 461 blood culture bottles were tested: 127 positive for fungi, 302 positive for bacteria, and 32 that were negative. Once the microorganisms were identified by automated systems, fungal DNA was extracted directly from the blood culture bottles. The DNA products were tested using the microarray platform, and DNA sequencing was performed. The results of the microarray and DNA sequencing were concordant in 96.7% of cases, and the results from the automated systems and DNA sequencing were concordant in 98.4%. Of all the nucleotide sequences contained in the microarray platform, the microarray failed to identify four fungal isolates (one Candida parapsilosis, two Candida tropicalis, and one Cryptococcus neoformans). Of note, the microarray detected Candida krusei DNA in two blood cultures from the same patient, whereas the automated system was only positive for Enterococcus faecium Our microarray system provided reliable and fast fungal identification compared to that from DNA sequencing and the automated systems. The simplicity of reading the results by the naked eye made this DNA platform a suitable method for fungal molecular diagnosis.
journal_name
J Clin Microbioljournal_title
Journal of clinical microbiologyauthors
Sturaro LL,Gonoi T,Busso-Lopes AF,Tararam CA,Levy CE,Lyra L,Trabasso P,Schreiber AZ,Kamei K,Moretti MLdoi
10.1128/JCM.01908-17subject
Has Abstractpub_date
2018-04-25 00:00:00issue
5eissn
0095-1137issn
1098-660Xpii
JCM.01908-17journal_volume
56pub_type
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