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.
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
| 期刊: | ACS Omega | 影响因子: | 4.300 |
| 时间: | 2022 | 起止号: | 2022 Jul 18; 7(30):26853-26862 |
| doi: | 10.1021/acsomega.2c03243 | ||
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