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Abstract #1985

Action of antibiotics characterized and predicted by NMR metabolomics

Verena Hoerr 1,2 , Gavin E. Duggan 3 , Lori Zbytnuik 4 , Karen K.H. Poon 4 , Bettina Lffler 2 , and Hans J. Vogel 3

1 Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany, 2 Institute of Medical Microbiology, Jena University Hospital, Jena, Germany, 3 Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada, 4 Department of Physiology and Pharmacology, University of Calgary, Calgary, Alberta, Canada

In our study we used 1H NMR metabolomics to investigate the metabolic response of Escherichia coli cultures to antibiotics with different mode of action. Within this frame multivariate statistical pattern recognition analysis was applied on intracellular fingerprints and extracellular footprints to obtain complementary information. PLS-DA analysis of metabolic fingerprint profiles clearly separated intra- from extracellular antibiotic action. In contrast metabolic footprint analysis could distinguish between different antibiotics that all inhibit cell wall biosynthesis. Using a training set of E. coli fingerprints, extracted after treatment with different antibiotic classes, we could predict the mode of action of corresponding antibiotic analogs.

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