%0 Journal Article %A Barišić, Ivan %A Petzka, Josefine %A Schoenthaler, Silvia %A Vierlinger, Klemens %A Noehammer, Christa %A Wiesinger-Mayr, Herbert %T Multiplex characterization of human pathogens including species and antibiotic-resistance gene identification %D 2016 %J Journal of Medical Microbiology, %V 65 %N 1 %P 48-55 %@ 1473-5644 %R https://doi.org/10.1099/jmm.0.000192 %I Microbiology Society, %X 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. %U https://www.microbiologyresearch.org/content/journal/jmm/10.1099/jmm.0.000192