Norisoprenoids from the Brown Alga Sargassum naozhouense Tseng et Lu.
Yan PengRi-Ming HuangXiu-Ping LinYong-Hong LiuPublished in: Molecules (Basel, Switzerland) (2018)
A new C11-norisoprenoid derivative, sargassumone (1), has been isolated from Sargassum naozhouense together with six known norisoprenoids and a highly oxygenated cyclopentene: (2R,6S,8S,9S)-hexahydro-2,9-dihydroxy-4,4,8-trimethyl-6-acetyloxy-3(2H)-benzofuranone (2), (6S,8S,9R)-hexahydro-6,9-dihydroxy-4,4,8-trimethyl-2(2H)-benzofuranone (3), (6S,8S,9R)-hexahydro-6,9-dihydroxy-4,4,8-trimethyl-2(2H)-benzofuranone (4), loliolide (5), (+)-epiloliolide (6), spheciospongones A (7), and (+)-kjellmanianone (8). Compound 1 was identified on the basis of nuclear magnetic resonance (NMR) and mass spectrometry (MS) analysis, and the absolute stereochemistry was defined by NOESY spectroscopy, minimizing energy calculation, and circular dichroism (CD) spectra. The known compounds 2-8, isolated from S. naozhouense for the first time, were identified by comparison of their physical and spectroscopic data with those reported in the literature. Compound 6 was tested for its inhibitory activity against protein tyrosine phosphatase 1B (PTP1B), antioxidant activity with 1,1-diphyl-2-picrylhydrazyl (DPPH) free radicals, and antimicrobial activity against resistant clinical isolates of Candida albicans, methicillin-resistant Staphylococcus aureus (MRSA), and Escherichia coli.
Keyphrases
- methicillin resistant staphylococcus aureus
- candida albicans
- magnetic resonance
- mass spectrometry
- biofilm formation
- staphylococcus aureus
- high resolution
- escherichia coli
- liquid chromatography
- solid state
- systematic review
- physical activity
- molecular docking
- multiple sclerosis
- mental health
- gas chromatography
- single molecule
- high performance liquid chromatography
- ms ms
- big data
- contrast enhanced
- electronic health record
- magnetic resonance imaging
- density functional theory
- computed tomography
- tandem mass spectrometry
- molecular dynamics simulations
- klebsiella pneumoniae
- cystic fibrosis
- machine learning
- water soluble
- simultaneous determination