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Eur J Clin Microbiol Infect Dis ; 21(11): 794-802, 2002 Nov.
Article in English | MEDLINE | ID: mdl-12461589

ABSTRACT

The performance of a commercial line probe assay (LiPA) (Inno-LiPA Mycobacteria; Innogenetics, Belgium) for the detection and identification of Mycobacterium species from liquid and solid culture was evaluated at five routine clinical laboratories. The LiPA method is based on the reverse hybridization principle, in which the mycobacterial 16S-23S ribosomal RNA (rRNA) spacer region is amplified by polymerase chain reaction (PCR). Amplicons are subsequently hybridized with oligonucleotide probes arranged on a membrane strip and detected by a colorimetric system. The test detects the presence of Mycobacterium species and specifically identifies Mycobacterium tuberculosis complex, Mycobacterium kansasii, Mycobacterium xenopi, Mycobacterium gordonae, Mycobacterium avium complex, Mycobacterium avium, Mycobacterium intracellulare, Mycobacterium scrofulaceum, and Mycobacterium chelonae - Mycobacterium abscessus complex. The results of LiPA were compared with the results obtained using traditional biochemical and molecular tests (DNA probe-based techniques, PCR restriction enzyme analysis of the 65 kDa heat-shock protein gene, and sequencing of the 16S rDNA). A total of 669 isolates, 642 of which were identified as Mycobacterium species and 27 as non- Mycobacterium species, were tested by LiPA. After analysis of 14 initially discordant results and exclusion of one isolate, concordant results were obtained for 636 of 641 Mycobacterium isolates (99.2% accuracy). All Mycobacterium species reacted with the MYC ( Mycobacterium species) probe (100% sensitivity), and all non- Mycobacterium species were identified as such (100% specificity).


Subject(s)
Bacterial Typing Techniques/methods , Mycobacterium/classification , RNA, Ribosomal, 16S/analysis , Colony Count, Microbial , Culture Media , Humans , Mycobacterium/isolation & purification , Nucleic Acid Hybridization , Polymerase Chain Reaction , Reagent Kits, Diagnostic , Sensitivity and Specificity
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