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DOI: 10.1055/s-0043-1773847
Short Lecture "Targeted isolation of new anti-infective natural products through multi-informative metabolite networks and HPLC-based bioactivity profiling using a 3R infection model"
Mycobacterium tuberculosis (Mtb), along with the looming threat of Multidrug-Resistant Tuberculosis (MDR-TB), provide a strong incentive nowadays to extend beyond the scope of known TB antibiotics. To find new anti-infective compounds, we used an innovative 3R infection model system consisting of Mycobacterium marinum as a surrogate for Mtb and the amoeba Dictyostelium discoideum as a surrogate for macrophages. This host-pathogen system offers a double readout that allows us to evaluate a compound with regards to its activity on the host and the pathogen. In addition to that, a large chemodiverse set of 1600 plant part extracts was established and analysed through untargeted High Resolution tandem Mass Spectrometry (HRMS/MS) experiments. After different steps of assay optimisation (notably throughput improvements), the whole extract library was screened for anti-infective activities. Combining the results with metabolomics analysis yielded a prioritised subset of extracts to work on. In order to rapidly identify bioactive compounds, chosen extracts were taken through a process of High- resolution HPLC-based bioactivity profiling. Metabolite annotations of the fractions generated allowed for the targeted isolation of compounds of interest, while discarding already reported or pan-assay interference compounds (PAINS) at an early stage. Using this approach, a total of 53 compounds could be isolated from 13 different plants, 22 of which displayed previously unreported anti-infective activity. The workflow was partially automated and generic conditions were established, to enable rational characterisation of active principles in a given plant set, usually within a few weeks ([Fig. 1]).


Publikationsverlauf
Artikel online veröffentlicht:
16. November 2023
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