Antiproliferative and Cytotoxic Cytochalasins from Sparticola triseptata Inhibit Actin Polymerization and Aggregation.
Katherine Yasmin M GarciaMark Tristan J QuimqueChristopher LambertKatharina SchmidtGian PrimahanaTheresia E B StradalAndreas RatzenböckHans-Martin DahseChayanard PhukhamsakdaMarc StadlerFrank SurupAllan Patrick G MacabeoPublished in: Journal of fungi (Basel, Switzerland) (2022)
Laying the groundwork on preliminary structure-activity relationship study relating to the disruptive activity of cytochalasan derivatives on mammalian cell actin cytoskeleton, we furthered our study on the cytochalasans of the Dothideomycetes fungus, Sparticola triseptata . A new cytochalasan analog triseptatin ( 1 ), along with the previously described cytochalasans deoxaphomin B ( 2 ) and cytochalasin B ( 3 ), and polyketide derivatives cis -4-hydroxy-6-deoxyscytalone ( 4 ) and 6-hydroxymellein ( 5 ) were isolated from the rice culture of S. triseptata . The structure of 1 was elucidated through NMR spectroscopic analysis and high-resolution mass spectrometry (HR-ESI-MS). The relative and absolute configurations were established through analysis of NOESY spectroscopic data and later correlated with experimental electronic circular dichroism and time-dependent density functional theory (ECD-TDDFT) computational analysis. Compounds 1 and 2 showed cytotoxic activities against seven mammalian cell lines (L929, KB3.1, MCF-7, A549, PC-3, SKOV-3, and A431) and antiproliferative effects against the myeloid leukemia K-562 cancer cell line. Both 1 and 2 were shown to possess properties inhibiting the F-actin network, prompting further hypotheses that should to be tested in the future to enable a well-resolved concept of the structural implications determining the bioactivity of the cytochalasin backbone against F-actin.
Keyphrases
- density functional theory
- structure activity relationship
- high resolution mass spectrometry
- ms ms
- cell migration
- molecular docking
- magnetic resonance
- acute myeloid leukemia
- bone marrow
- molecular dynamics
- mass spectrometry
- squamous cell carcinoma
- single cell
- machine learning
- liquid chromatography
- papillary thyroid
- big data
- young adults
- immune response
- mesenchymal stem cells
- electronic health record
- deep learning
- heat stress
- network analysis