Innovative DendrisChips ® Technology for a Syndromic Approach of In Vitro Diagnosis: Application to the Respiratory Infectious Diseases

• Published in: Diagnostics (Basel) Vol. 8; no. 4; p. 77
• Main Authors: Senescau, Alice, Kempowsky, Tatiana, Bernard, Elodie, Messier, Sylvain, Besse, Philippe, Fabre, Richard, François, Jean Marie
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 11.11.2018; MDPI
• Subjects: Bacteria; biochips; Biotechnology; dendrimer; Design; DNA; Hybridization; in vitro diagnostic (IVD); Infectious diseases; Life Sciences; machine-learning methods; Medical laboratories; Microbiology and Parasitology; Pathogens; PCR; Ribosomal DNA; syndromic approach; Viruses; United States > US; biochips; in vitro diagnostic (IVD); DNA; dendrimer; machine-learning methods; syndromic approach; PCR; bacterium; puce à adn; microbiologie; agent pathogène; bactérie; pathogen; diagnostic
• ISSN: 2075-4418; 2075-4418
• DOI: 10.3390/diagnostics8040077

Clinical microbiology is experiencing the emergence of the syndromic approach of diagnosis. This paradigm shift will require innovative technologies to detect rapidly, and in a single sample, multiple pathogens associated with an infectious disease. Here, we report on a multiplex technology based on DNA-microarray that allows detecting and discriminating 11 bacteria implicated in respiratory tract infection. The process requires a PCR amplification of bacterial 16S rDNA, a 30 min hybridization step on species-specific oligoprobes covalently linked on dendrimers coated glass slides (DendriChips ) and a reading of the slides by a dedicated laser scanner. A diagnostic result is delivered in about 4 h as a predictive value of presence/absence of pathogens using a decision algorithm based on machine-learning method, which was constructed from hybridization profiles of known bacterial and clinical isolated samples and which can be regularly enriched with hybridization profiles from clinical samples. We demonstrated that our technology converged in more than 95% of cases with the microbiological culture for bacteria detection and identification.