27.9.2023
LIVE WEBINAR: Toward a new generation of infectious diseases diagnosis methods using LC-MSMS and Artificial Intelligence
Time: 10:00 AM Eastern Daylight Time
Duration: 1 hour
More information: here
Antimicrobial resistance (AMR) is predicted to be the leading cause of death around the world by 2050. Among the main causes contributing to AMR are the over-prescription of antibiotics in clinics and the over-use of antibiotics in farming. Therefore, it is imperative to explore new strategies to slow down and even reverse the evolution of AMR and preserve our ability to fight infectious diseases. A critical area for intervention includes the rapid diagnosis of microbes in biological samples. The gold-standard method [microbial culturing followed by matrix assisted laser desorption ionization (MALDI) - TOF analysis] takes approximately 24-48 hours, lacks specificity for closely-related species and is not quantitative.
For several years, our team has developed new approaches for microbial diagnosis using high-sensitivity/ high-specificity LC-MSMS combined to Artificial Intelligence in order to provide a microbial identification in less than four hours. We applied this strategy to two problems related to microbial infections: urinary tract infection (UTI) in humans, accounting for 14% of all antibiotic prescriptions in Canada, and bovine mastitis (BM), which causes significant losses to the dairy industry. We demonstrated that combining LC-MSMS data to machine learning algorithms allows the extraction of a peptide signature able to distinguish between 15 bacterial species; and we improved this method using crude signal from ultrafast LC-MSMS runs (< 5 min) without peptide identification. We also demonstrated the transfer of the method to cost-effective triple quadrupole mass spectrometer instruments capable of operating in routine applications. Overall, our work paves the way toward the new generation of diagnosis methods for infectious diseases that could, in the end, have an important contribution to reducing the use antibiotics.
Speaker:
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Florence Roux-Dalvai , Project Manager Co-founder Canadian Proteomics & AI consortium, CHU de Québec -Université Laval Research Center
Looking forward to seeing you!
Team Pragolab s.r.o. & Thermo Fisher Scientific