Antimicrobial Resistance (AMR) Clinical Trial
Official title:
NCCR AntiResist: Mono-center Study to Identify New Approaches to Combat Antibiotic-resistant Bacteria.
This is an explorative, mono-center study including prospectively collected patient samples from the University Hospital of Basel. It is to investigate antimicrobial resistance (AMR) including three clinical manifestations of infectious diseases: urinary tract infection, pneumonia and deep-seated infections. The focus is on four bacteria (E. coli, Klebsiella species, S. aureus, P. aeruginosa) that are part of the high priority list of World Health Organization (WHO). Residual patient samples are analysed for proteomic, metabolomic and transcriptomic analysis, immunocytochemical or fluorescence in-situ hybridisation (FISH) analysis, flow cytometry analysis (FACS) and immunophenotyping and exploration of bacterial properties.
The National Center of Competence in Research (NCCR) AntiResist aims at utilizing patient samples in order to investigate the physiology of bacterial pathogens in human patients and establishing a unique multidisciplinary network of clinicians, biologists, engineers, chemists, computational scientists and drug developers. The goal of this project is to elucidate the physiological properties of bacterial pathogens in infected human patients in order to provide new ways of combatting superbugs. These clinical data will be used to guide and benchmark development of patient-mimicking and in-vitro models, accelerate the search for novel bacterial targets, antibacterial compounds and non-conventional strategies. In detail, the focus will be on three clinical manifestations of infectious diseases caused by four critical bacterial pathogens belonging to WHO "priority pathogens" list: E. coli, Klebsiella species, S. aureus and P. aeruginosa : A) Urinary tract infection B) Pneumonia C) Deep-seated infections D) Controls for A), B) and C) E) Clinical controls for A), B) and C) without obtained samples F) Analysis whether the application of Art. 34 HFV (Weiterverwendung biologischen Materials und/oder gesundheitsbezogener Personendaten für die Forschung bei fehlender Einwilligung und Information) can avoid a bias. ;