Molecular networking as a dereplication strategy for monitoring metabolites of natural product treated cancer cells

Rapid Commun Mass Spectrom. 2020 Apr:34 Suppl 1:e8549. doi: 10.1002/rcm.8549. Epub 2019 Nov 6.

Abstract

Rationale: Natural products have been great sources for drug discovery. However, the structures of natural products are diverse and difficult to elucidate. Cordyceps militaris is a parasitic fungus which usually grows on host insects. The metabolites of C. militaris have been reported to act as chemotherapeutic agents. In this study, we aimed for the structural elucidation of specialized metabolites derived from C. militaris, and the metabolic impact in leukemia cells.

Methods: We describe a liquid chromatography data-dependent mass spectrometric platform combining tandem mass analysis and molecular networking. Leukemia cells treated with C. militaris extract and control groups were visualized in terms of their metabolic profiles using Global Natural Product Social (GNPS) molecular networking. By this method, we were able to elucidate the structures of metabolites from medicinal fungus extracts and cancer cells and then to recognize their changes in a semi-quantitative manner.

Results: Using C. militaris and leukemia cells as examples, we found that approximately 100 new ion species were present in the treated leukemia cells, suggesting a highly altered metabolic profile. Specifically, based on the tandem mass spectral similarity, we proposed that cordycepin, a key fungus-derived therapeutic agent known for its antitumor activity, was transformed into its methylthio form in leukemia cells.

Conclusions: The platform described provides an ability to investigate complex molecular interactions of natural products in mammalian cells. By incorporating tandem mass spectrometry and molecular networking, we were able to reveal the chemical modification of crude bioactive compounds, for example potential bioactive compounds which might be modified from cordycepin. We envision that such a mass spectrometry (MS)-based workflow, combined with other metabolomics platforms, would enable much wider applicability to cell biology and be of great potential to pharmacological study as well as drug discovery.

MeSH terms

  • Antineoplastic Agents / chemistry
  • Antineoplastic Agents / pharmacology*
  • Biological Products / chemistry
  • Biological Products / pharmacology*
  • Cell Line, Tumor
  • Cordyceps / chemistry*
  • Drug Discovery
  • Humans
  • Leukemia / drug therapy*
  • Leukemia / metabolism
  • Metabolome / drug effects*
  • Tandem Mass Spectrometry

Substances

  • Antineoplastic Agents
  • Biological Products