4.7 Article

Dilignans with a Chromanol Motif Discovered by Molecular Networking from the Stem Barks of Magnolia obovata and Their Proprotein Convertase Subtilisin/Kexin Type 9 Expression Inhibitory Activity

Journal

BIOMOLECULES
Volume 11, Issue 3, Pages -

Publisher

MDPI
DOI: 10.3390/biom11030463

Keywords

Magnolia obovata; Magnoliaceae; dilignans; molecular networking; PCSK9; lipid metabolism genes

Funding

  1. National Research Foundation of Korea (NRF) in the Korean government (MSIT) [NRF-2019R1A2C2009053]

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Natural products have been important in drug discovery, but traditional strategies for evaluating them are costly and time-consuming. The use of MS/MS-based molecular networking strategy with in silico annotation tool can accelerate the dereplication of secondary metabolites. In this study, two new dilignans were discovered from Magnolia obovata Thunb., showing potent lipid controlling activities and detailed insight into lipid metabolism caused by one of the compounds was obtained through bioinformatic analysis.
Natural products have been fundamental materials in drug discovery. Traditional strategies for observing natural products with novel structure and/or biological activity are challenging due to large cost and time consumption. Implementation of the MS/MS-based molecular networking strategy with the in silico annotation tool is expected to expedite the dereplication of secondary metabolites. In this study, using this tool, two new dilignans with a 2-phenyl-3-chromanol motif, obovatolins A (1) and B (2), were discovered from the stem barks of Magnolia obovata Thunb. along with six known compounds (3-8), expanding chemical diversity of lignan skeletons in this natural source. Their structures and configurations were elucidated using spectroscopic data. All isolates were evaluated for their PCSK9 mRNA expression inhibitory activity. Obovatolins A (1) and B (2), and magnolol (3) showed potent lipid controlling activities. To identify transcriptionally controlled genes by 1 along with downregulation of PCSK9, using small set of genes (42 genes) related to lipid metabolism selected from the database, focused bioinformatic analysis was carried out. As a result, it showed the correlations between gene expression under presence of 1, which led to detailed insight of the lipid metabolism caused by 1.

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