English
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Natural Product Research 2020-Jul

Antidepressant potential of Mesembryanthemum cordifolium roots assisted by metabolomic analysis and virtual screening

Only registered users can translate articles
Log In/Sign up
The link is saved to the clipboard
Asmaa Said
Taha Ali
Eman Attia
Al-Shaimaa Ahmed
Alaa Shehata
Usama Abdelmohsen
Mostafa Fouad

Keywords

Abstract

Depression is a common mental disturbance that can be categorized as mild, moderate or severe. Mesemberine alkaloids, the main recognized phytoconstituents of some plants belonging to family Mesembryanthemaceae, are well-known as serotonin reuptake inhibitors. Therefore, the objective of this study is to evaluate the antidepressant activity of the alkaloidal fraction of Mesembryanthemum cordifolium L.f. (Aptenia cordifolia) roots, family Mesembryanthemaceae using forced swimming test, assisted by metabolomic analysis and in silico ligand-based and structure-based screening. Results showed that the alkaloidal fraction displayed an antidepressant activity superior to imipramine hydrochloride, a standard antidepressant agent. Nine alkaloids were annotated from the metabolomic analysis. Interestingly, among the dereplicated constituents, mesembrane (5) displayed strong binding affinity to SERT protein, which is slightly higher than the antidepressant drug venlafaxine. In conclusion, the alkaloidal fraction of the M. cordifolium (A. cordifolia) root exhibits an antidepressant activity which can be attributed in part to mesembrane (5).

Keywords: Aptenia cordifolia; Mesembryanthemaceae; Mesembryanthemum cordifolium; Metabolomics; antidepressant; in silico screening.

Join our facebook page

The most complete medicinal herbs database backed by science

  • Works in 55 languages
  • Herbal cures backed by science
  • Herbs recognition by image
  • Interactive GPS map - tag herbs on location (coming soon)
  • Read scientific publications related to your search
  • Search medicinal herbs by their effects
  • Organize your interests and stay up do date with the news research, clinical trials and patents

Type a symptom or a disease and read about herbs that might help, type a herb and see diseases and symptoms it is used against.
*All information is based on published scientific research

Google Play badgeApp Store badge