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

Jun Gu KimThi Phuong Linh LeJae Sang HanYong Beom ChoDongho LeeMi-Kyeong LeeBang Yeon Hwang
Published in: ACS omega (2022)
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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