The effect of red fruit oil (Pandanus conoideus Lamk.) emulgel on angiogenesis and collagen density in incisive wound healing in mice (Mus musculus).

Pandanus conoideus Lamk. or commonly known as red fruit oil (RFO) can be used to accelerate wound healing because it contains tocopherols, carotenoids, oleic acid, linoleic acid, and linolenic acid. The RFO in this study was formulated in the form of an emulgel because it has the most convenient and effective drug delivery system. The aims of this study were to determine the activity of RFO emulgel on increasing the amount of angiogenesis and collagen density in incised wound healing and to determine the optimal dose of RFO emulgel to increase the amount of angiogenesis and collagen density in incised wound healing. This was a true experimental study with a posttest only control group design that included five treatment groups: a positive control group (10% povidone-iodine), a negative control (gel base), and three groups that varied the concentration of RFO emulgel used at 5%, 10%, and 15%. Parameters observed were the amount of angiogenesis using Image Raster software and the percentage of areas of collagen density using ImageJ software. The data were analyzed using a one-way ANOVA test and continued with the least significant difference test. The results of this study showed that RFO emulgel was able to increase the amount of angiogenesis and collagen density in the wound healing process with P = 0.000. An increase in the amount of angiogenesis and collagen density occurred in mice treated with RFO compared to the positive and negative control groups. It can be concluded that RFO emulgel has activity toward increasing the amount of angiogenesis and collagen density in the wound healing of mice incisions. The optimal dose concentration of RFO emulgel for increasing the amount of angiogenesis and collagen density in incision wound healing was shown in RFO emulgel with a concentration of 15%.

Prediction of compounds with antiosteoporosis activity in Chrysophyllum cainito L. leaves through in silico approach.

OBJECTIVES: Estrogen deficiency causes various health problems in postmenopausal women, including osteoporosis. Phytoestrogen emerged as a potential alternative of estrogen with minimum side effects. The aims of this study were to analyze the metabolite profiling results of various extract of Chyrsophyllum cainito L. leaves, which contain phytoestrogen, through in silico study against 3OLS protein, an X-ray protein of ERß, so it can predict the types of the phytoestrogen contents which have antiosteoporosis property. METHODS: In silico analysis was carried out for the compounds from the metabolite profiling data of C. cainito leaves from our previous study. The structure compounds from metabolite profiling results of various extract of C. cainito leaves were prepared with Avogadro 1.0.1 software, molecular docking was done using PyRx 0.8 software, and Biovia Discovery Studio Visualizer 2016 software was used to visualize the structure of compounds against 3OLS protein. The physicochemical characteristics of the compounds were analyzed using the SwissADME web tool. RESULTS: From in silico studies, it was known that there were total 11 compounds in C. cainito leaves that predicted as phytoestrogens which have ERß agonist properties against 3OLS protein. The ERß agonist was a compound that has parameters similar to 17ß-estradiol in its interaction with 3OLS protein, which has a pharmacophore distance of 10.862 Å, and binding to amino acids His 475 and Glu 305 or Arg 346 at receptor-ligand docking simulation. CONCLUSIONS: C. cainito leaves contain 11 compounds that are predicted to be phytoestrogens with ERß agonist properties, which is responsible for antiosteoporosis activity.