Literature DB >> 31368545

A network pharmacology study on the triterpene saponins from Medicago sativa L. for the treatment of Neurodegenerative diseases.

Xue-Gui Liu1,2, Meng-Chao Lv1, Ming-Yuan Huang3, Yu-Qiu Sun1, Pin-Yi Gao1,2, Dan-Qi Li2.   

Abstract

Neurodegenerative diseases (NDDs) are characterized by progressive and irreversible, is a kind of complex illnesses, and the long-term therapy which is frequently associated with adverse side effects. Medicago sativa L., widely consumed as a vegetable, has the effects of improving memory and relieving central nervous system diseases. However, there are less studies on its specific mechanism for NDDs. In this investigation, we applied a method of network pharmacology, which combined molecular docking and network analysis to decipher the mechanisms of M. sativa in NDDs. The pharmacological system generated 55 triterpene saponins from M. sativa, and predicted 27 potential targets with 100 pathways in the treatment of NDDs. As a result, 13 compounds, 10 target proteins, and 6 signaling pathways were found to play important roles in the treatment of NDDs. In addition, in vitro experiments of isolates confirmed activities for NDDs, which were consistent with the results of network pharmacology prediction. PRACTICAL APPLICATIONS: Medicago sativa L. has been widely consumed as a vegetable, which possesses many nutritional components. As a functional food stuff, M. sativa can improve human health, such as memory improving activities, relieving central nervous system diseases, immunomodulatory, antioxidant, anticancer, and anti-inflammatory. In this article, the mechanism of triterpene saponins from M. sativa against NDDs was successfully predicted by network pharmacology method. The results will serve as a reference of M. sativa against NDDs.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  Medicago sativa L.; network pharmacology; neurodegenerative diseases; triterpene saponins

Year:  2019        PMID: 31368545     DOI: 10.1111/jfbc.12955

Source DB:  PubMed          Journal:  J Food Biochem        ISSN: 0145-8884            Impact factor:   2.720


  5 in total

Review 1.  Network Pharmacology Approach for Medicinal Plants: Review and Assessment.

Authors:  Fatima Noor; Muhammad Tahir Ul Qamar; Usman Ali Ashfaq; Aqel Albutti; Ameen S S Alwashmi; Mohammad Abdullah Aljasir
Journal:  Pharmaceuticals (Basel)       Date:  2022-05-04

2.  Molecular Cloning and Functional Identification of a Squalene Synthase Encoding Gene from Alfalfa (Medicago sativa L.).

Authors:  Junmei Kang; Qiaoyan Zhang; Xu Jiang; Tiejun Zhang; Ruicai Long; Qingchuan Yang; Zhen Wang
Journal:  Int J Mol Sci       Date:  2019-09-11       Impact factor: 5.923

3.  Network pharmacology and RNA sequencing studies on triterpenoid saponins from Bupleurum chinense for the treatment of breast cancer.

Authors:  Danqi Li; Da Liu; Dandan Yue; Pinyi Gao; Cheng Du; Xuegui Liu; Lixin Zhang
Journal:  RSC Adv       Date:  2019-12-12       Impact factor: 4.036

4.  Network pharmacology-based study of the mechanisms of action of anti-diabetic triterpenoids from Cyclocarya paliurus.

Authors:  Zixin Lin; Yingpeng Tong; Na Li; Ziping Zhu; Junmin Li
Journal:  RSC Adv       Date:  2020-10-07       Impact factor: 4.036

5.  Nephroprotective effects of ethanolic root extract of Azima tetracantha lam in adenine-induced chronic kidney failure in Wistar rats.

Authors:  Ruckmani Arunachalam; Venu Gopala Rao Konda; Madhavi Eerike; Arun Kumar Radhakrishnan; Sobita Devi
Journal:  Indian J Pharmacol       Date:  2021 May-Jun       Impact factor: 1.200

  5 in total

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