Protective effects of Radix Codonopsis on ischemia-reperfusion injury in rats after kidney transplantation.

PURPOSE: Kidney ischemia-reperfusion injury (IRI) after kidney transplant remains a major problem, separate from immune rejection that can lead to kidney transplant failure and graft function loss. Free radicals, disturbance of microcirculation and the inflammatory cascade appear to be the main contributors. Radix Codonopsis, a traditional Chinese drug used in vascular diseases, is an antioxidant and free radical scavenger. This study investigates the protective effect and underlying mechanisms of Radix Codonopsis extract saponins on kidney transplantation. METHODS: Renal transplantation was performed after rat kidneys had been stored for 1 h at 4°C. Blood urea nitrogen (BUN), serum creatinine (Scr), superoxide dismutase (SOD) and malondialdehyde (MDA) were assayed; bcl-2 and bax mRNA expression was detected using RT-PCR; bcl-2 and bax protein expression was detected by immunohistochemistry (IHC). Terminal deoxynucleotidyl transferase biotin-dUTP nick end labeling (TUNEL) was used to detect apoptotic cells and determine the apoptosis index (AI). Analysis of variance (ANOVA) followed by Dunnett's test was used when more than two groups were compared. RESULTS: Saponin-treated animals showed increased SOD levels accompanied by decreased MDA, Scr and BUN levels (p < 0.05 vs. untreated controls); bcl-2 mRNA and protein levels were increased in transplanted kidney from treated animals, while bax mRNA and protein levels were decreased (p < 0.05 vs. untreated controls). AI was significantly decreased in transplanted kidneys from treated animals relative to untreated controls (p < 0.05 vs. untreated controls). CONCLUSION: This study clearly demonstrates the protective effects on IRI after kidney transplantation, which may be explained by decreased lipid peroxidation and inhibition of apoptosis.

[Influence of ozone on snap bean under ambient air in two sites of northern China].

Tropospheric ozone (O3) has been assumed the most phytotoxic air pollutant and the snap bean (Phaseolus vulgaris L.) is known to be an ozone-sensitive species. Two genotypes (R123, ozone-tolerance, S156, ozone-sensitivity) of snap bean were explored in three places. The objective of this study was to evaluate whether the snap bean was influenced under the current ambient ozone concentration. The findings indicated that the leaves of bean grown at Research Center for Eco-Environmental Sciences (RCEES), Chinese Academy of Sciences and ChangPing showed visible ozone symptoms under the ambient ozone concentration, and the averaged ozone injury proportion in S156 was 23.5% higher than R123 during the entire growth season. The ozone damage to the snap bean depends on the plant growing stages. The injury symptoms appeared just after flowering, increased from the stages of flowering to pod formation, and reached the maximum at the stages of pod maturation. The ratio of S156/R123 in pod yield was 0.48, and 0.24 and 0.73 in the RCEES, ChangPing and Harbin, respectively. The ratio close to 1 was assumed that the plant growth is not affected by ozone, and the lower ratio is, the more damage caused by ozone. Obviously, the current ambient ozone concentration of Beijing area has significantly caused the yield loss of snap bean.

[Dynamic simulation of photosynthate allocation in maize organs based on functional equilibrium hypothesis].

By using the 2004-2008 observation data of maize biomass and related environmental factors from the Jinzhou Agricultural Ecosystem Research Station of Shenyang Institute of Atmospheric Environment under China Meteorological Administration (CMA), the Friedlingstein model was validated and tested at station site and daily time scales. A model of soil available nutrient coefficient for maize field was developed, based on fertilization, soil temperature, and soil available water; and a daily time scale maize photosynthate allocation model was built, according to the functional equilibrium hypothesis. Comparing with Friedlingstein model, the daily time scale maize photosynthate allocation model could give more accurate simulation of photosynthate allocation in maize root, stem, and leaf, and provide technical support for accurate simulation of daily net primary productivity of maize agro-ecosystem.