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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