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Natural β-Dihydroagarofuran-Type Sesquiterpenoids as Cognition-Enhancing and Neuroprotective Agents from Medicinal Plants of the Genus Celastrus

  • Ruonan Ning
    ,
  • ,
  • Shuangzhu Liu
    ,
  • Huan Wang
    ,
  • Rujun Zhang
    ,
  • Wei Wang
*Corresponding author for this work
  • CAS - Shanghai Institute of Materia Medica
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

Alzheimers disease (AD) is an irreversible, multifaceted, and progressive neurodegenerative disorder. Over the past 30 years, the search for anti-AD drugs has been primarily based on the cholinergic deficiency hypothesis and/or the β-amyloid (Aβ) cascade hypothesis. In this study, we report the identification of 16 new and 38 known β-dihydroagarofuran-type sesquiterpenoids from Celastrus flagellaris and Celastrus angulatus. The β-dihydroagarofuran-type sesquiterpenoids 58, 59, 61, and 63 significantly attenuated scopolamine-induced prolonged escape latency and increased number of errors compared with the control group. At 10 μM, 21 of the 62 tested β-dihydroagarofuran-type sesquiterpenoids rescued Aβ25-35-induced SH-SY5Y cells from viability reduction, which increased the cell viability from 64.6% for the model to more than 74.0%. The majority of the β-dihydroagarofuran-type sesquiterpenoids with ester groups exhibited stronger activity than those with free hydroxy groups or without substituents at the same positions. These results identified a new chemical skeleton as drug lead for the investigation of novel therapeutic agents against AD.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 2175-2186 (12 pages)

Journal (Volume, Issue Number)

Journal of Natural Products (Volume 78, Issue 9)

Publication milestones

  • Published - 09/25/2015

Publication status

Published - 09/25/2015

ISSN

0163-3864

Publication IDs

  • Scopus: 84942594556
  • PubMed: 26295746

Publication metrics

Metrics

SciVal
citations
32
Fractional count
1
Fractional count
0.11
Fractional count
8
Fractional count
0.89
Fractional count
1
Fractional count
1
SciVal
FWCI
1.97
SciVal
Author count
9
SciVal
Paper percentile
90
SciVal
Top percentile
10
Scopus
citations

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Citation count
50
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2