Indole Diketopiperazine Alkaloids from the Marine Sediment-Derived Fungus Aspergillus chevalieri against Pancreatic Ductal Adenocarcinoma.
Dina H El-KashefDeborah D ObidakeKatja SchiedlauskeAlina DeipenbrockSebastian Alexander ScharfHao WangDaniela NaumannDaniel StöpplerSimone MiljanovicTakin Haj Hassani SohiUlf Dietrich KahlertKlaus PfefferNicole E TeuschPublished in: Marine drugs (2023)
A new prenylated indole diketopiperazine alkaloid, rubrumline P ( 1 ), was isolated along with six more analogues and characterized from the fermentation culture of a marine sediment-derived fungus, Aspergillus chevalieri , collected at a depth of 15 m near the lighthouse in Dahab, Red Sea, Egypt. In the current study, a bioassay-guided fractionation allowed for the identification of an active fraction displaying significant cytotoxic activity against the human pancreatic adenocarcinoma cell line PANC-1 from the EtOAc extract of the investigated fungus compared to the standard paclitaxel. The structures of the isolated compounds from the active fraction were established using 1D/2D NMR spectroscopy and mass spectrometry, together with comparisons with the literature. The absolute configuration of the obtained indole diketopiperazines was established based on single-crystal X-ray diffraction analyses of rubrumline I ( 2 ) and comparisons of optical rotations and NMR data, as well as on biogenetic considerations. Genome sequencing indicated the formation of prenyltransferases, which was subsequently confirmed by the isolation of mono-, di-, tri-, and tetraprenylated compounds. Compounds rubrumline P ( 1 ) and neoechinulin D ( 4 ) confirmed preferential cytotoxic activity against PANC-1 cancer cells with IC 50 values of 25.8 and 23.4 µM, respectively. Although the underlying mechanism-of-action remains elusive in this study, cell cycle analysis indicated a slight increase in the sub-G1 peak after treatment with compounds 1 and 4 .
Keyphrases
- cell cycle
- high resolution
- mass spectrometry
- heavy metals
- endothelial cells
- cell proliferation
- machine learning
- magnetic resonance imaging
- risk assessment
- escherichia coli
- genome wide
- single cell
- gene expression
- polycyclic aromatic hydrocarbons
- molecular docking
- high speed
- optical coherence tomography
- cystic fibrosis
- pseudomonas aeruginosa
- computed tomography
- deep learning
- atomic force microscopy