Volume 10, Issue 4, October 2020

Study of Hepatoprotective Activity from Acanthus Ilicifolius Leaves-The Combined Use of in vitro, in vivo and In Silico Analysis (Research Article)

Author(s): Ganesh Sekaran*, Jannet Vennila James and Xin-ping Li
Abstract: Acanthus ilicifolius is a mangrove that is acting both ecological and medicinal importance, widely used in traditional systems of medicine, including Ayurveda and traditional Chinese medicine. In vitro studies revealed that the methanolic extract of A. ilicifolius leaves at a concentration of 500 μg/mL exhibited the free radical scavenging effect. In MTT assay the cell survival percentage was decreased along with increasing concentrations of the sample, IC50 values 63.403 μg/mL. In vivo HepG2 induced liver injury in mice exhibited a significant change in the levels of AST, ALT and ALP in the treated group and HCC alone significantly increased. The extract-treated group exhibited a reduction in serum creatinine levels that indicates no significant changes in renal function. Histopathology shows a decrease in the lobular inflammation and moderately maintains the liver architecture in control and migration of leukocytes into the inflamed area is significantly suppressed by the extract. The study included in silico analysis, in total 5 potential Hepatocellular Carcinoma (HCC) targets were predicted from 5 bioactive phytochemicals reported in the plant leaves. SEA and STITCH algorithms were used for target prediction and mined by CTD and PHARMGKB. In molecular docking, cyano colchicines showed the highest interaction with all the 5 targets, in par with standard drug sorafenib tosylate and doxorubicin. Collectively, the phytochemical present in A. ilicifolius leaves could be considered as a potential natural hepatoprotective agent.
PAGES: 118-128  |  23 VIEWS  32 DOWNLOADS

How To Cite this Article:

Ganesh Sekaran*, Jannet Vennila James and Xin-ping Li. Study of Hepatoprotective Activity from Acanthus Ilicifolius Leaves-The Combined Use of in vitro, in vivo and In Silico Analysis (Research Article). 2020; 10(4): 118-128.