| Literature DB >> 28748166 |
Amit Gupta1, Sushama Ravindra Chaphalkar1.
Abstract
OBJECTIVE: There are a number of medicinal plant products which has been used to treat various immunological diseases. Out of these medicinal plants, Calamus rotang has shown several medicinal properties including anti-viral, anti-diabetic, anti-inflammatory effects. Normally, the roots of C. rotang are used in various ailments to cure piles, burning sensation, cough, leprosy and bleeding disorder and also it was used in the treatment of inflammation. In the present study, our group were investigated the immunomodulatory activity of aqueous extract of C. rotang root in human whole blood and peripheral blood mononuclear cells (PBMC) using hepatitis B vaccine (HBsAg) as an antigen.Entities:
Keywords: Aqueous extract; Calamus rotang; Hepatitis B vaccine; Immunomodulatory; PBMC
Year: 2017 PMID: 28748166 PMCID: PMC5511971
Source DB: PubMed Journal: Avicenna J Phytomed ISSN: 2228-7930
Figure 1Effect of root aqueous extract of Calamus rotang on human whole blood using flow cytometry (Forward scatter (FSC) and side scatter (SSC)). Data acquisition of 10000 events and fraction or separation of cell populations representing forward and side scatter using cellquest software
Figure 2Estimation of nitric oxide (NO) production. The supernatant nitrite concentration was determined by Griess reagent after 24 hr of culture of PBMC in the presence of root aqueous extract of Calamus rotang. Values are expressed as Means ± SEM. The difference between the control and treated groups is determined by One way ANOVA test (Bonferroni multiple comparison test). *p<0.05; **p<0.01; ***p<0.001
Figure 3Estimation of CD14 surface marker on human peripheral blood mononuclear cells (PBMC) using flow cytometry. Cells were stained with CD14 FITC surface marker and then, lysed and washed in PBS and analyzed using a flow cytometer (FACS Calibur). Values are expressed as Mean ± SEM. The difference between the control and treated groups is determined by One way ANOVA test (Bonferroni multiple comparison test). *p<0.05; **p<0.01; ***p<0.001