Deuterium uptake in combination with Raman spectroscopy as a tool to investigate antibiotic susceptibility of bacteria

Bauer, D.; Qiu, L.; Wieland, K.; Neumann-Cip, A-C; Wieser, A.; Magistro, G.; Stief, C. und Haisch, C. (2020): Deuterium uptake in combination with Raman spectroscopy as a tool to investigate antibiotic susceptibility of bacteria. In: Photonic Diagnosis, Monitoring, Prevention, and Treatment of Infections and Inflammatory Diseases 2020, Bd. 11223, 1122302

Abstract

The evolution of multi-resistant bacteria poses a major threat to our healthcare system worldwide. To address this serious public health issue, the speed and sensitivity of state-of-the-art antibiotic susceptibility testing (AST) such as broth dilution and disc diffusion methods need to be significantly improved to provide better patient care. With the ultimate goal of developing a fast and reliable alternative that outperforms current state-of-the-art procedures, a high-throughput, generally- in terms of bug drug combinations - applicable analytical protocol was developed employing Raman spectroscopy as non-destructive analysis tool to monitor the deuterium uptake of metabolically active bacteria and additionally extract chemical-specific information for bacteria and/or contaminant identification. Our AST is based on two reference strains representing Gram-negative (E. coli) and Gram-positive bacteria (E. faecalis), treated with a total of four different antibiotics. Apart from high sensitivity and specificity, time is the most crucial parameter in clinical diagnosis. Hence, bulk analysis of highly concentrated samples was favored over a single-cell approach to allow time-efficient, straight-forward sample preparation and investigation. The developed AST also comprises a preincubation step (bug-drug incubation prior to the addition of D 2 0 containing medium) which is shown to be key for the development of a reliable test comprising Gram-positive and Gram-negative bacteria. 52 clinical isolates typical for urinary tract infection causing pathogens were investigated in a semi-automated setting showing good agreement with state-of-the-art analytics.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 0277-786X
• Sprache: Englisch