Literature DB >> 30106290

Targeted Isolation of Neuroprotective Dicoumaroyl Neolignans and Lignans from Sageretia theezans Using in Silico Molecular Network Annotation Propagation-Based Dereplication.

Kyo Bin Kang1,2, Eun Jin Park1, Ricardo R da Silva2, Hyun Woo Kim1, Pieter C Dorrestein2, Sang Hyun Sung1.   

Abstract

The integration of LC-MS/MS molecular networking and in silico MS/MS fragmentation is an emerging method for dereplication of natural products. In the present study, a targeted isolation of natural products using a new in silico-based annotation tool named Network Annotation Propagation (NAP) is described. NAP improves accuracy of in silico fragmentation analyses by reranking candidate structures based on the network topology from MS/MS-based molecular networking. Annotation for the MS/MS spectral network of the Sageratia theezans twig extract was performed using NAP, and most molecular families within the network, including the known triterpenoids 1-7, could be putatively annotated, without relying on any previous reports of molecules from this species. Based on the in silico dereplication results, molecules were prioritized for isolation. In total, six dicoumaroyl 8- O-4' neolignans (8-13) and three dicoumaroyl lignans (14-16) were isolated from the twigs of S. theezans and structurally characterized by spectroscopic analyses. Isolates were evaluated for their neuroprotective activity, and compounds 14-16 showed potent protective effects against glutamate-induced oxidative stress in mouse HT22 cells at a concentration of 12.5 μM.

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Year:  2018        PMID: 30106290     DOI: 10.1021/acs.jnatprod.8b00292

Source DB:  PubMed          Journal:  J Nat Prod        ISSN: 0163-3864            Impact factor:   4.050


  9 in total

Review 1.  Advancements in capturing and mining mass spectrometry data are transforming natural products research.

Authors:  Scott A Jarmusch; Justin J J van der Hooft; Pieter C Dorrestein; Alan K Jarmusch
Journal:  Nat Prod Rep       Date:  2021-11-17       Impact factor: 13.423

2.  Planomonospora: A Metabolomics Perspective on an Underexplored Actinobacteria Genus.

Authors:  Mitja M Zdouc; Marianna Iorio; Sonia I Maffioli; Max Crüsemann; Stefano Donadio; Margherita Sosio
Journal:  J Nat Prod       Date:  2021-01-26       Impact factor: 4.050

3.  Saliniquinone Derivatives, Saliniquinones G-I and Heraclemycin E, from the Marine Animal-Derived Nocardiopsis aegyptia HDN19-252.

Authors:  Luning Zhou; Xuedong Chen; Chunxiao Sun; Yimin Chang; Xiaofei Huang; Tianjiao Zhu; Guojian Zhang; Qian Che; Dehai Li
Journal:  Mar Drugs       Date:  2021-10-14       Impact factor: 5.118

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

Authors:  Jun Gu Kim; Thi Phuong Linh Le; Jae Sang Han; Yong Beom Cho; Dongho Lee; Mi Kyeong Lee; Bang Yeon Hwang
Journal:  ACS Omega       Date:  2022-07-18

5.  Chemical Profiling Provides Insights into the Metabolic Machinery of Hydrocarbon-Degrading Deep-Sea Microbes.

Authors:  Aldo Moreno-Ulloa; Victoria Sicairos Diaz; Javier A Tejeda-Mora; Marla I Macias Contreras; Fernando Díaz Castillo; Abraham Guerrero; Ricardo Gonzalez Sanchez; Omar Mendoza-Porras; Rafael Vazquez Duhalt; Alexei Licea-Navarro
Journal:  mSystems       Date:  2020-11-10       Impact factor: 6.496

6.  Characterization of Anti-Inflammatory and Antioxidant Constituents from Scutellaria baicalensis Using LC-MS Coupled with a Bioassay Method.

Authors:  Yoo Kyong Han; Hyunwoo Kim; Hyeji Shin; Jiyeon Song; Mi Kyeong Lee; Byoungduck Park; Ki Yong Lee
Journal:  Molecules       Date:  2020-08-09       Impact factor: 4.411

7.  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.

Authors:  Jongmin Ahn; Hee-Sung Chae; Pisey Pel; Young-Mi Kim; Young Hee Choi; Jinwoong Kim; Young-Won Chin
Journal:  Biomolecules       Date:  2021-03-19

8.  Characterization of Possible α-Glucosidase Inhibitors from Trigonella stellata Extract Using LC-MS and In Silico Molecular Docking.

Authors:  Ahlam Elwekeel; Dalia El Amir; Enas I A Mohamed; Elham Amin; Marwa H A Hassan; Mohamed A Zaki
Journal:  Plants (Basel)       Date:  2022-01-14

9.  Application of Feature-Based Molecular Networking for Comparative Metabolomics and Targeted Isolation of Stereoisomers from Algicolous Fungi.

Authors:  Bicheng Fan; Laura Grauso; Fengjie Li; Silvia Scarpato; Alfonso Mangoni; Deniz Tasdemir
Journal:  Mar Drugs       Date:  2022-03-16       Impact factor: 5.118

  9 in total

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