Cytotoxic potential, metabolic profiling, and liposomes of Coscinoderma sp. Crude extract supported by in silico analysis

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Abstract

Introduction: Sponge-Coscinoderma sp. (Family: Spongiidae) is a coastal sponge that possesses a broad variety of natural-products. However, the exact chemical constituents and cytotoxic activity of the extract are still undefinable. Methodology: In the present study, the metabolomic profiling of Coscinoderma sp. dereplicated 20 compounds, utilizing liquid chromatography coupled with high-resolution mass spectrometry (LC-HRESIMS). Coscinoderma-derived crude extract, before and after encapsulation within nanosized liposomes, was in vitro screened against hepatic, breast, and colorectal carcinoma human cell lines (HepG2, MCF-7, and Caco-2, respectively). Results: The identified metabolites were fit to diverse chemical classes, covering diterpenes, an indole alkaloid, sesterterpenoid, sterol, and methylherbipoline salt. Comprehensive in silico experiments predicted several compounds in the sponge-derived extract (eg, compounds 1–15) to have an anticancer potential via targeting multiple targets. The crude extract showed moderate antiproliferative activities towards studied cell lines with IC50 values range from 10.7 to 12.4 µg/mL. The formulated extract-containing liposomes (size 141±12.3nm, PDI 0.222, zeta potential 20.8 ± 2.3), significantly enhanced the in vitro anticancer activity of the entrapped extract (IC50 values ranged from 1.7 to 4.1 µg/mL). Discussion: Encapsulation of both the hydrophilic and the lipophilic components of the extract within the lipid-based nanovesicles enhanced the cellular uptake and accessibility of the entrapped cargo. This study introduces liposomal nano-vesicles as a promising approach to improve the therapeutic potential of sponge-derived extracts.

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Musa, A., Elmaidomy, A. H., Sayed, A. M., Alzarea, S. I., Al-Sanea, M. M., Mostafa, E. M., … Abdelmohsen, U. R. (2021). Cytotoxic potential, metabolic profiling, and liposomes of Coscinoderma sp. Crude extract supported by in silico analysis. International Journal of Nanomedicine, 16, 3861–3874. https://doi.org/10.2147/IJN.S310720

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