Anti-inflammatory butenolide derivatives from the coral-derived fungus Aspergillus terreus and structure revisions of aspernolides D and G, butyrolactone VI and 4',8''-diacetoxy butyrolactone VI.
Mengting LiuQun ZhouJianping WangJun-Jun LiuChangxing QiYongji LaiHucheng ZhuYongbo XueZheng-Xi HuYong-Hui ZhangPublished in: RSC advances (2018)
Chemical investigation of the coral-derived fungus Aspergillus terreus led to the discovery of ten butenolide derivatives (1-10), including four new ones (1-4). The new structures were characterized on the basis of comprehensive spectroscopic analysis, including 1D and 2D NMR and HRESIMS data. Compounds 1 and 2 were a pair of rare C-8'' epimers with vicinal diol motifs. The absolute configurations of 1-4 were determined via [Mo 2 (AcO) 4 ] induced circular dichroism (ICD) spectra and comparison of their experimental ECD spectra. Importantly, the structures of reported aspernolides D and G, butyrolactone VI and 4',8''-diacetoxy butyrolactone VI have been correspondingly revised via a combined strategy of experimental validations, 13 C NMR predictions by ACD/Labs software, and 13 C NMR calculations. Herein we provide valuable referenced 13 C NMR data (C-7'', C-8'', and C-9'') for the structure elucidations of butenolide derivatives with 1-(2-hydroxyphenyl)-3-methylbutane-2,3-diol, 2-(2,3-dihydrobenzofuran-2-yl)propan-2-ol, or 2,2-dimethylchroman-3-ol motifs. Additionally, all the isolates (1-10) were assessed for anti-inflammatory activity by measuring the amount of NO production in lipopolysaccharide (LPS)-induced RAW 264.7 mouse macrophages, and compound 10 showed an even stronger inhibitory effect than the postive control indomethacin, presenting it as a promising lead compound for the development of new anti-inflammatory agents.
Keyphrases
- high resolution
- lps induced
- magnetic resonance
- anti inflammatory
- solid state
- inflammatory response
- density functional theory
- electronic health record
- big data
- structure activity relationship
- small molecule
- toll like receptor
- molecular docking
- data analysis
- molecular dynamics
- mass spectrometry
- machine learning
- diabetic rats
- case report
- immune response
- high glucose
- molecular dynamics simulations
- oxidative stress
- cell wall
- artificial intelligence
- genetic diversity
- light emitting