Ming Wang, Yu Shan, Yu Chen, Fuqin Guan, Min Yin, Qizhi Wang and Xu Feng
Jiangsu Province and Chinese Academy of Sciences, China
Posters & Accepted Abstracts: J Pharmacogn Nat Prod
Kosteletzkya virginica (L) Presl is a perennial plant native to the saline tidal marshes and belonged to the genus of Kosteletzkya in the family Malvaceae. As an excellent economic halophyte, K. virginica has been served as a candidate species of the current development and utilization of saline flats in the east of China. Meanwhile, K. virginica is used as a folk medicine to treat upper respiratory tract inflammation. In our study, 39 compounds were isolated and identified from the ethanol extract of K. virginica tuberous roots by a variety of modern chromatography and spectroscopic methods. Their structures were elucidated by spectroscopic methods, including 1D, 2D nuclear magnetic resonance (NMR) and high-resolution time of flight electrospray ionization mass spectrometry (HR-TOF-ESI-MS). All of these compounds were obtained from the genus Kosteletzkya for the first time and evaluated for their potential in scavenging diphenyl-picryl hydrazyl radical (DPPHâ�¢), inhibition of nitric oxide (NO) induced by lipopolysaccharide (LPS) and cytotoxic activity. The virginicin showed activities against DPPHâ�¢, NO, human acute promyelocytic leukemia (HL-60) and human colorectal adenocarcinoma (LOVO) with IC50 of 34.6, 12.5, 40.5, 31.7 �¼mol/L respectively. It may be promising leads for the development of potential antioxidant and anticancer agents.
Ming Wang is an Associate Professor of the Research Center for Natural Products Chemistry, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences. He has obtained his Bachelor’s degree from China Pharmaceutical University in 1983. His research interests mainly focus on the isolation, structure and analysis of the chemical constituents in medicinal plants. He has published over 30 academic papers.
Email: wangmingwm0208@sina.com
Journal of Pharmacognosy & Natural Products received 606 citations as per Google Scholar report