ABSTRACT
Selenium polysaccharides (Se-polysaccharides) are one of important forms of organic Se, in which selenium (Se) and polysaccharides are joined by covalent bonds. In the present review, recent progress in chemical structure and hypoglycemic activity of Se-polysaccharides is summarized. In particular, the mechanism underlying hypoglycemic capacity of Se-polysaccharides is discussed, and the relationship between hypoglycemic activity and chemical structure is analyzed. Besides, strategies for further research into chemical structure and hypoglycemic activity of Se-polysaccharides are proposed. Hypoglycemic activity of Se-polysaccharides is closely related to their inhibitory effect on α-amylase and α-glucosidase, influence on insulin signal pathway especially IRS-PI3K-Akt signaling pathway, and protection capacity against oxidative stress.
Subject(s)
Selenium , Hypoglycemic Agents/chemistry , Hypoglycemic Agents/pharmacology , Insulin/metabolism , Oxidative Stress , Phosphatidylinositol 3-Kinases/metabolism , Polysaccharides/chemistry , Polysaccharides/pharmacology , Selenium/chemistry , Selenium/pharmacologyABSTRACT
Amplified fragment length polymorphism (AFLP) markers were used to estimate the genetic diversity of seven wild populations of Sinopodophyllum hexandrum (Royle) Ying from the Tibetan region of Sichuan Province, China. Six primer combinations generated a total of 428 discernible DNA fragments, of which 111 were polymorphic. The percentage of polymorphic bands (PPB) was 25.93 at the species level, and PPB within population ranged from 4.91 to 12.38%. Genetic diversity (H(E)) within populations varied from 0.01 to 0.04, averaging 0.05 at the species level. As revealed by the results of AMOVA analysis, 58.8% of the genetic differentiation occurred between populations, and 41.2% within populations. The genetic differentiation was, perhaps, due to the limited gene flow (Nm = 0.43) of the species. The correlation coefficient (r) between genetic and geographical distance using Mantel's test for all populations was 0.698 (P = 0.014). The UPGMA cluster analysis revealed a similar result in that the genetic distances among the populations show, to a certain extent, a spatial pattern corresponding to their geographic locations. On the basis of the genetic and ecological information, we propose some appropriate strategies for conserving the endangered S. hexandrum in this region.
