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Triterpene glycosides from Silene odontopetala

Authors: Un R. N.; Masullo M.; Karayildirim T.; Nalbantsoy A.; Alankus O.; Piacente S.;

Triterpene glycosides from Silene odontopetala

Abstract

Silene species are known for their use in traditional medicine in treating several diseases. To the authors' knowledge there is no report on the chemical composition of S. odontopetala. Therefore, the phytochemical investigation of the methanol extract of S. odontopetala was carried out, leading to the isolation of six undescribed oleanane-type glycosides along with the known saponin azukisaponin IV. Their structures were elucidated by the analysis of 1D and 2D-NMR experiments, along with mass spectrometry analysis. The cytotoxic activity of oleanane-type saponins was evaluated against a small panel of cancer cell lines, including PC-3 (prostate carcinoma cells), MCF-7 (breast cancer cells), A549 (alveolar basal carcinoma cells), and HeLa (cervical carcinoma cells). Furthermore, the activity of isolated compounds against a normal cell line HEK-293, used for assessing their cytotoxicity, was evaluated.

Countries
Italy, Turkey
Keywords

Molecular Structure, Caryophyllaceae, Biodiversity, Saponins, Antineoplastic Agents, Phytogenic, Triterpenes, NMR analysis, HEK293 Cells, Cell Line, Tumor, Silene odontopetala, Humans, Caryophyllaceae; NMR analysis; Oleanane-type saponins; Silene odontopetala, Glycosides, Silene, Oleanane-type saponins, Taxonomy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
10
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Average
Top 10%
5
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Cancer Research