Next Article in Journal
Challenges and Progress with Diagnosing Pulmonary Tuberculosis in Low- and Middle-Income Countries
Previous Article in Journal
Retrospective Side Effect Profiling of the Metastatic Melanoma Combination Therapy Ipilimumab-Nivolumab Using Adverse Event Data
Open AccessArticle

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

1
DENDRIS SAS, F-31670 Labège, France
2
Département Génie Mathématiques et Modélisation, Fédérale Université of Toulouse, F-31077 Toulouse, France
3
BIOPOLE, 2, F-31670 Labège, France
4
LISBP, Fédérale Université de Toulouse, CNRS, INRA, INSA, F-31077 Toulouse, France
*
Author to whom correspondence should be addressed.
Diagnostics 2018, 8(4), 77; https://doi.org/10.3390/diagnostics8040077
Received: 1 October 2018 / Revised: 31 October 2018 / Accepted: 8 November 2018 / Published: 11 November 2018
(This article belongs to the Section Point-of-Care Diagnostics and Devices)
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. View Full-Text
Keywords: in vitro diagnostic (IVD); syndromic approach; DNA; dendrimer; PCR; biochips; machine-learning methods in vitro diagnostic (IVD); syndromic approach; DNA; dendrimer; PCR; biochips; machine-learning methods
Show Figures

Figure 1

MDPI and ACS Style

Senescau, A.; Kempowsky, T.; Bernard, E.; Messier, S.; Besse, P.; Fabre, R.; François, J.M. Innovative DendrisChips® Technology for a Syndromic Approach of In Vitro Diagnosis: Application to the Respiratory Infectious Diseases. Diagnostics 2018, 8, 77.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop