@article{mbs:/content/journal/jmm/10.1099/jmm.0.000192, author = "Barišić, Ivan and Petzka, Josefine and Schoenthaler, Silvia and Vierlinger, Klemens and Noehammer, Christa and Wiesinger-Mayr, Herbert", title = "Multiplex characterization of human pathogens including species and antibiotic-resistance gene identification", journal= "Journal of Medical Microbiology", year = "2016", volume = "65", number = "1", pages = "48-55", doi = "https://doi.org/10.1099/jmm.0.000192", url = "https://www.microbiologyresearch.org/content/journal/jmm/10.1099/jmm.0.000192", publisher = "Microbiology Society", issn = "1473-5644", type = "Journal Article", abstract = "The efficient medical treatment of infections requires detailed information about the pathogens involved and potential antibiotic-resistance mechanisms. The dramatically increasing incidence of multidrug-resistant bacteria especially highlights the importance of sophisticated diagnostic tests enabling a fast patient-customized therapy. However, the current molecular detection methods are limited to either the detection of species or only a few antibiotic-resistance genes. In this work, we present a human pathogen characterization assay using a rRNA gene microarray identifying 75 species comprising bacteria and fungi. A statistical classifier was developed to facilitate the automated species identification. Additionally, the clinically most important β-lactamases were identified simultaneously in a 100-plex reaction using padlock probes and the same microarray. The specificity and sensitivity of the combined assay was determined using clinical isolates. The detection limit was 105 c.f.u. ml− 1, recovering 89 % of the detectable β-lactamase-encoding genes specifically. The total assay time was less than 7 h and the modular character of the antibiotic-resistance detection allows the easy integration of further genetic targets. In summary, we present a fast, highly specific and sensitive multiplex pathogen characterization assay.", }