Literature DB >> 29243515

Alkaloids from Juglans Mandshurica maxim induce distinctive cell death in hepatocellular carcinoma cells.

Li-Li Lou1, Zhuo-Yang Cheng1, Rui Guo1, Guo-Dong Yao1, Shao-Jiang Song1.   

Abstract

The aim of this work was to further investigate the anticancer potential of Juglans mandshurica Maxim, including the separation of active constituents and their anti-proliferative effects with underlying mechanism of action. Five alkaloids (1-5) were isolated from the bark of J. mandshurica. Among them, 1 showed the highest cytotoxic activities against Hep3B and HepG2 cells with an IC50 values of 61.80 and 56.24 μM, respectively. Therefore, the cellular mechanism involved 1 was subsequently studied. Our results showed that 1 markedly caused apoptosis and autophagy, but without cell cycle arrest in HepG2 cells. Interestingly, only autophagic cell death was induced in 1-treated Hep3B cells. It is concluded that the isolated alkaloids exerted a certain anti-hepatoma potential, and our results may provide a basis for the further investigation of the alkaloids extracted from J. mandshurica.

Entities:  

Keywords:  ; Alkaloids; Apoptosis; Autophagy; Hepatocellular carcinoma

Mesh:

Substances:

Year:  2017        PMID: 29243515     DOI: 10.1080/14786419.2017.1413571

Source DB:  PubMed          Journal:  Nat Prod Res        ISSN: 1478-6419            Impact factor:   2.861


  4 in total

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Journal:  Molecules       Date:  2020-11-20       Impact factor: 4.411

Review 3.  Juglans mandshurica Maxim.: A Review of Its Traditional Usages, Phytochemical Constituents, and Pharmacological Properties.

Authors:  Fei Luan; Ziyan Wang; Yan Yang; Yafei Ji; Haizhen Lv; Keqing Han; Daoheng Liu; Xiaofei Shang; Xirui He; Nan Zeng
Journal:  Front Pharmacol       Date:  2021-01-21       Impact factor: 5.810

4.  Ultrasonic-Assisted Extraction of Flavonoids from Juglans mandshurica Maxim.: Artificial Intelligence-Based Optimization, Kinetics Estimation, and Antioxidant Potential.

Authors:  Guodong Chu; Rui Liang; Chenmeng Wan; Jing Yang; Jing Li; Ruinan Wang; Linna Du; Ruixin Lin
Journal:  Molecules       Date:  2022-07-28       Impact factor: 4.927

  4 in total

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