Cytotoxic metabolites from Sinularia levi supported by network pharmacology

PLoS One. 2024 Feb 6;19(2):e0294311. doi: 10.1371/journal.pone.0294311. eCollection 2024.

Abstract

The in-vitro anti-proliferative evaluation of Sinularia levi total extract against three cell lines revealed its potent effect against Caco-2 cell line with IC50 3.3 μg/mL, followed by MCF-7 and HepG-2 with IC50 6.4 μg/mL and 8.5 μg/mL, respectively, in comparison to doxorubicin. Metabolic profiling of S. levi total extract using liquid chromatography coupled with high-resolution electrospray ionization mass spectrometry (LC-HR-ESI-MS) revealed the presence of phytoconstituents clusters consisting mainly of steroids and terpenoids (1-20), together with five metabolites 21-25, which were additionally isolated and identified through the phytochemical investigation of S. levi total extract through various chromatographic and spectroscopic techniques. The isolated metabolites included one sesquiterpene, two steroids and two diterpenes, among which compounds prostantherol (21) and 12-hydroperoxylsarcoph-10-ene (25) were reported for the first time in Sinularia genus. The cytotoxic potential evaluation of the isolated compounds revealed variable cytotoxic effects against the three tested cell lines. Compound 25 was the most potent with IC50 value of 2.13 ± 0.09, 3.54 ± 0.07 and 5.67 ± 0.08 μg/mL against HepG-2, MCF-7 and Caco-2, respectively, followed by gorgosterol (23) and sarcophine (24). Additionally, network analysis showed that cyclin-dependent kinase 1 (CDK1) was encountered in the mechanism of action of the three cancer types. Molecular docking analysis revealed that CDK1 inhibition could possibly be the reason for the cytotoxic potential.

MeSH terms

  • Antineoplastic Agents* / pharmacology
  • Caco-2 Cells
  • Humans
  • Molecular Docking Simulation
  • Network Pharmacology*
  • Plant Extracts / pharmacology
  • Steroids

Substances

  • Antineoplastic Agents
  • Plant Extracts
  • Steroids

Grants and funding

This research was funded by the Fund of Guangdong Science and Technology Department (2022A0505050080) and the Research Capability Enhancement Project of Guangzhou Medical University (02-410-2302360XM).