OpGen Highlights Capabilities of its Acuitas® Technologies to Rapidly Predict Antibiotic Susceptibility Using Drug Resistance Gene Profiles at ECCMID
The poster, titled “Prediction of antibiotic resistance in Escherichia coli from resistance genes,” compared phenotypic antibiotic susceptibility testing (AST) with the emerging capabilities of Lighthouse Knowledgebase informatics to predict antibiotic resistance using resistance genes from bacterial isolates. The results of testing over 1,900 E. coli isolates with PCR yielded strong prediction of phenotypic antibiotic resistance for seventeen antibiotics representing seven antibiotic classes with accuracies ranging from 77% to 97%. Resistance for 12 of the antibiotics were predicted with 90% or greater accuracy.
A second poster, titled “Rapid outbreak detection of multidrug-resistant organisms using resistance gene profiles,” illustrated the potential to detect hospital pathogen outbreaks by clustering isolates based on resistance gene profiles using a PCR-based test. Outbreak clusters of P. aeruginosa and E. coli were accurately discriminated using multiple resistance genes, thereby demonstrating that a multiplexed PCR-based test has potential to be a rapid, accurate, and efficient method for surveillance of multidrug-resistant organisms.
“In the preliminary results presented at ECCMID, our Acuitas technology demonstrated the ability to rapidly and accurately predict antibiotic susceptibility using resistance gene profiles,” said
Contact: OpGen Contact:
Michael FarmerDirector, Marketing 240-813-1284 firstname.lastname@example.org InvestorRelations@opgen.com Investor and Media Contact: MacDougall Biomedical Communications Cammy Duong781-591-3443 email@example.com