Protective effects of puerarin on metabolic diseases: Emphasis on the therapeutical effects and the underlying molecular mechanisms.

Metabolic diseases (MetD) such as diabetes mellitus, obesity, and hyperlipidemia have become global health challenges. As a naturally occurring plant component, puerarin has been verified to possess a wide range of pharmacological effects including lowering blood glucose, improving insulin resistance, and regulating lipid metabolism, which has attracted extensive attention in recent years, and its potential in the treatment of MetD has been highly acclaimed. In addition, puerarin has exhibited antioxidant, anti-inflammatory, and cardiovascular protective effects, which are of great significance in the prevention and treatment of MetD. This article comprehensively summarizes the research progress of puerarin in the treatment of MetD and explores its pharmacological mechanisms, clinical applications, and future perspectives. More importantly, this review provided a list of the involved molecular mechanims in treating MetD of puerarin. Taking into account these conclusions, it may provide a strong foundation for the optimized use of puerarin in the treatment of patients suffering from MetD.

DNA barcoding analysis and phylogenetic relationships of tree species in tropical cloud forests.

DNA barcoding is a useful tool for species identification and phylogenetic construction. But present studies have far reached a consistent result on the universality of DNA barcoding. We tested the universality of tree species DNA barcodes including rbcL, matK, trnH-psbA and ITS, and examined their abilities of species identification and phylogenetic construction in three tropical cloud forests. Results showed that the success rates of PCR amplification of rbcL, matK, trnH-psbA and ITS were 75.26% ± 3.65%, 57.24% ± 4.42%, 79.28% ± 7.08%, 50.31% ± 6.64%, and the rates of DNA sequencing were 63.84% ± 4.32%, 50.82% ± 4.36%, 72.87% ± 11.37%, 45.15% ± 8.91% respectively, suggesting that both rbcL and trnH-psbA are universal for tree species in the tropical cloud forests. The success rates of species identification of the four fragments were higher than 41.00% (rbcL: 41.50% ± 2.81%, matK: 42.88% ± 2.59%, trnH-psbA: 46.16% ± 5.11% and ITS: 47.20% ± 5.76%), demonstrating that these fragments have potentiality in species identification. When the phylogenetic relationships were built with random fragment combinations, optimal evolutionary tree with high supporting values were established using the combinations of rbcL + matK + trnH-psbA in tropical cloud forests.