No abstract

No abstract

Two hundred forty-eight retail “ready-to-eat” foodstuffs in eight food categories and 134 waters categorized into nine types were analyzed for the presence of the Burkholderia cepacia complex of organisms. Of these, 14 of 26 (53.8%) samples of raw unpasteurized bovine milk were positive for this organism. Consumption of raw unpasteurized milk may therefore act as a potential source of infection with this organism, which is of particular concern for patients with cystic fibrosis, where colonization and infection with this organism can lead to a fatal necrotizing pneumonia and premature death. In addition to the associated risk of infection from fecal pathogens, patients with cystic fibrosis should therefore avoid the consumption of raw unpasteurized milk to minimize the risk of becoming infected with this organism.

This report describes the application of reference strand-mediated conformational analysis (RSCA), a novel DNA typing technique, for the identification of clinically significant fungal pathogens. RSCA is a heteroduplex-based conformational method which relies on detecting differences in the DNA conformation of heteroduplexes generated in this study by the annealing of different fungal 18S rRNA amplicons to a common fluorescent-labelled reference (FLR). These heteroduplexes are then observed with laser-based instrumentation and computer software to detect differences in the DNA conformation reproducibly. This technique was shown to generate unique and reproducible profiles for the 18S rRNA gene sequences of a number of medically important fungi, distinguishing different Candida species (C. albicans, C. kefyr, C. dubliniensis, C. lusitaniae, C. guilliermondii, C. tropicalis, C. krusei, C. glabrata, C. sake and C. parapsilosis), and in some cases detecting single nucleotide differences between 18S rRNA sequences. The RSCA technique was further evaluated with 50 human clinical isolates of Candida spp., previously identified by culture techniques, and was shown to identify the isolates correctly. This technique displays enormous potential as an alternative to DNA sequence determination and has the potential to become an automated technique that can be implemented in the routine setting.

No abstract