4.7 Article

Uncovering the Bioactive Potential of a Cyanobacterial Natural Products Library Aided by Untargeted Metabolomics

Journal

MARINE DRUGS
Volume 19, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/md19110633

Keywords

natural products library; cyanobacteria; cytotoxicity; 3D spheroids; untargeted metabolomics; MetaboAnalyst; GNPS

Funding

  1. CYANCAN project [PTDC/MED-QUI/30944/2017]
  2. NORTE 2020
  3. Portugal 2020
  4. European Union through the ERDF
  5. FCT and strategic funds [UIDB/04423/2020, UIDP/04423/2020]
  6. FCT through national funds
  7. ATLANTIDA [NORTE-01-0145-FEDER-000040]
  8. Norte Portugal Regional Operational Program under PORTUGAL 2020 through European Regional Development Fund (ERDF) [NORTE 2020]
  9. Fundação para a Ciência e a Tecnologia [PTDC/MED-QUI/30944/2017] Funding Source: FCT

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By screening the cytotoxic activity of cyanobacteria, 6 potential novel bioactive molecules were identified, along with 5 potential cytotoxic compounds. In addition, 9 pheophytin and pheophorbide derivatives were tentatively identified.
The Blue Biotechnology and Ecotoxicology Culture Collection (LEGE-CC) holds a vast number of cyanobacteria whose chemical richness is still largely unknown. To expedite its bioactivity screening we developed a natural products library. Sixty strains and four environmental samples were chromatographed, using a semiautomatic HPLC system, yielding 512 fractions that were tested for their cytotoxic activity against 2D and 3D models of human colon carcinoma (HCT 116), and non-cancerous cell line hCMEC/D3. Six fractions showed high cytotoxicity against 2D and 3D cell models (group A), and six other fractions were selected by their effects on 3D cells (group B). The metabolome of each group was organized and characterized using the MolNetEnhancer workflow, and its processing with MetaboAnalyst allowed discrimination of the mass features with the highest fold change, and thus the ones that might be bioactive. Of those, mass features without precedented identification were mostly found in group A, indicating seven possible novel bioactive molecules, alongside in silico putative annotation of five cytotoxic compounds. Manual dereplication of group B tentatively identified nine pheophytin and pheophorbide derivatives. Our approach enabled the selection of 7 out of 60 cyanobacterial strains for anticancer drug discovery, providing new data concerning the chemical composition of these cyanobacteria.

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