title: Automated Broad-Range Molecular Detection of Bacteria in Clinical Samples.
abstract: Molecular detection methods, such as quantitative PCR (qPCR), have found their way into clinical microbiology laboratories for the detection of an array of pathogens. Most routinely used methods, however, are directed at specific species. Thus, anything that is not explicitly searched for will be missed. This greatly limits the flexibility and universal application of these techniques. We investigated the application of a rapid universal bacterial molecular identification method, IS-pro, to routine patient samples received in a clinical microbiology laboratory. IS-pro is a eubacterial technique based on the detection and categorization of 16S-23S rRNA gene interspace regions with lengths that are specific for each microbial species. As this is an open technique, clinicians do not need to decide in advance what to look for. We compared routine culture to IS-pro using 66 samples sent in for routine bacterial diagnostic testing. The samples were obtained from patients with infections in normally sterile sites (without a resident microbiota). The results were identical in 20 (30%) samples, IS-pro detected more bacterial species than culture in 31 (47%) samples, and five of the 10 culture-negative samples were positive with IS-pro. The case histories of the five patients from whom these culture-negative/IS-pro-positive samples were obtained suggest that the IS-pro findings are highly clinically relevant. Our findings indicate that an open molecular approach, such as IS-pro, may have a high added value for clinical practice.
authors.affiliation: Department of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, the Netherlands d.budding@vumc.nl.
authors.forename: Andries E
authors.initials: AE
authors.lastname: Budding
authors.affiliation: Department of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, the Netherlands.
authors.forename: Martine
authors.initials: M
authors.lastname: Hoogewerf
authors.affiliation: Department of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, the Netherlands.
authors.forename: Christina M J E
authors.initials: CM
authors.lastname: Vandenbroucke-Grauls
authors.affiliation: Department of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, the Netherlands Department of Medical Microbiology, Maastricht University Medical Center, Maastricht, the Netherlands.
authors.forename: Paul H M
authors.initials: PH
authors.lastname: Savelkoul
mesh_terms: D057205:Automation, Laboratory / Q000379:methods*; D001419:Bacteria / Q000145:classification* / Q000302:isolation & purification*; D001424:Bacterial Infections / Q000175:diagnosis*; D001431:Bacteriological Techniques / Q000379:methods*; D002675:Child, Preschool; D021901:DNA, Intergenic / Q000235:genetics*; D005260:Female; D006801:Humans; D008875:Middle Aged; D025202:Molecular Diagnostic Techniques / Q000379:methods*; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D012338:RNA, Ribosomal, 23S / Q000235:genetics; D012680:Sensitivity and Specificity; D013997:Time Factors
chemical_list: D021901:DNA, Intergenic; D012336:RNA, Ribosomal, 16S; D012338:RNA, Ribosomal, 23S