Chair/bedside diagnosis of oral and respiratory tract infections, and identification of antibiotic resistances for personalised monitoring and treatment
Language English Country Netherlands Media print
Document type Journal Article
PubMed
27225554
Knihovny.cz E-resources
- MeSH
- Drug Resistance, Bacterial * MeSH
- Centrifugation methods MeSH
- DNA, Bacterial analysis MeSH
- Precision Medicine methods MeSH
- Respiratory Tract Infections diagnosis microbiology virology MeSH
- Automation, Laboratory MeSH
- Humans MeSH
- Microfluidic Analytical Techniques MeSH
- Periodontitis diagnosis microbiology MeSH
- RNA, Viral analysis MeSH
- Saliva immunology microbiology MeSH
- Dental Caries diagnosis MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- DNA, Bacterial MeSH
- RNA, Viral MeSH
Global healthcare systems are struggling with the enormous burden associated with infectious diseases, as well as the incessant rise of antimicrobial resistance. In order to adequately address these issues, there is an urgent need for rapid and accurate infectious disease diagnostics. The H2020 project DIAGORAS aims at diagnosing oral and respiratory tract infections using a fully integrated, automated and user-friendly platform for physicians' offices, schools, elderly care units, community settings, etc. Oral diseases (periodontitis, dental caries) will be detected via multiplexed, quantitative analysis of salivary markers (bacterial DNA and host response proteins) for early prevention and personalised monitoring. Respiratory Tract Infections will be diagnosed by means of DNA/RNA differentiation so as to identify their bacterial or viral nature. Together with antibiotic resistance screening on the same platform, a more efficient treatment management is expected at the point-of-care. At the heart of DIAGORAS lies a centrifugal microfluidic platform (LabDisk and associated processing device) integrating all components and assays for a fully automated analysis. The project involves an interface with a clinical algorithm for the comprehensive presentation of results to end-users, thereby increasing the platform's clinical utility. DIAGORAS' performance will be validated at clinical settings and compared with gold standards.
BioVendor Laboratorni medicina a s Brno Czech Republic
ClinicaGeno Ltd London United Kingdom
Erasmus University Medical Centre Rotterdam The Netherlands
Hahn Schickard Freiburg Germany
Health and Environment Department AIT Austrian Institute of Technology Vienna Austria
Salivary Biomarkers for Dental Caries Detection and Personalized Monitoring
Validation and verification of predictive salivary biomarkers for oral health