Molecular Networking-Guided Isolation of Cycloartane-type Triterpenoids from Curculigo orchioides and Their Inhibitory Effect on Nitric Oxide Production.

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作者:Kim Jun Gu, Le Thi Phuong Linh, Han Jae Sang, Cho Yong Beom, Lee Dongho, Lee Mi Kyeong, Hwang Bang Yeon
The MolNetEnhancer workflow was applied to molecular networking analysis of the CH(2)Cl(2)-soluble fraction of the rhizomes of Curculigo orchioides, which showed a potent inhibitory effect on the lipopolysaccharide (LPS)-induced nitric oxide production. Among the molecular network, clusters of cycloartane-type triterpenoids were classified using the ClassyFire module of MolNetEnhancer, and their structures were predicted by the in silico fragment analysis tool, Network Annotation Propagation (NAP). Using mass spectrometry (MS)-guided isolation methods, six cycloartane-type triterpenoids (1-6) were isolated, and their structures were elucidated based on the interpretation of NMR, HRESIMS, and single-crystal X-ray diffraction. Among the isolates, compounds 1 and 4, which have an α,β-unsaturated carbonyl moiety on the A-ring, exhibited significant inhibitory effects on LPS-induced nitric oxide production in RAW264.7 cells with IC(50) values of 12.4 and 11.8 μM, respectively.

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