Effect of Interaction between Adenosine and Nitric Oxide on Central Nervous System Oxygen Toxicity.

The metabolism of adenosine (ADO) and nitric oxide (NO) in brain tissues is closely associated with the change of oxygen content. They have contrary effects in the onset of hyperbaric oxygen (HBO)-induced central nervous system oxygen toxicity (CNS OT): ADO can suppress the onset, while NO promotes it. We adopted the ADO-augmenting measure and NO-inhibiting measure in this study and found the combined use had a far superior preventive and therapeutic effect in protecting against CNS OT compared with the use of either measure alone. So we hypothesized that there is an interaction between ADO and NO which has an important impact on the onset of CNS OT. On this basis, we administered ADO-augmenting or ADO-inhibiting drugs to rats. After exposure to HBO, the onset of CNS OT was evaluated, followed by the measurement of NO content in brain tissues. In another experiment, rats were administered NO-augmenting or NO-inhibiting drugs. After exposure to HBO, the onset of CNS OT was evaluated, followed by measurement of the activities of ADO metabolism-related enzymes in brain tissues. The results showed that, following ADO augmentation, the content of NO and its metabolite was significantly reduced, and the onset of CNS OT significantly improved. After ADO inhibition, just the opposite was observed. NO promotion resulted in a decrease in the activity of ADO-producing enzyme, an increase in the activity of ADO-decomposing enzyme, and an aggravation in CNS OT. The above results were all reversed after an inhibition in NO content. Studies have shown that exposure to HBO has a significant impact on the content of ADO and NO in brain tissues as well as their biological effects, and ADO and NO might have an intense interaction, which might generate an important effect on the onset of CNS OT. The prophylaxis and treatment effects of CNS OT can be greatly enhanced by augmenting ADO and inhibiting NO.

[Analysis and estimate of corn CNCPS component by near infrared reflectance (NIR) spectroscopy].

The objective of the present study was to investigate the feasibility of predicting the CNCPS (cornell net carbohydrate and protein system) composition of corn by near infrared reflectance spectroscopy (NIRS). Sixty-five corn samples from Heilongjiang province were used. The partial least square (PLS) regression method, second derivative and Norris derivative filter were applied in the NIRS prediction of CNCPS. For dry matter, crude protein, ash, fat, starch, neutral-detergent fiber and acid-detergent fiber, the determination coefficients were 0.974 3, 0.968 3, 0.947 8, 0.909 8, 0.977 7, 0.935 4 and 0.926 9, and the SD/RMSEP values for them were 3.96, 4.78, 3.75, 4.25, 4.13, 3.88 and 3.12, respectively. The determination coefficient and SD/RMSEP value were 0.857 5 and 3.06 for soluble protein, but low determination coefficients of 0.531 9 and 0.683 3 with SD/RMSEP values of 5.50 and 2.85 were observed for acid-detergent insoluble protein and neutral-detergent insoluble protein. If the SD/RMSEP value < 5 and > 3, then the effect of model is ideal, and if the SD/RMSEP value > 5 or < 3, the effect of model is not ideal, and at this time, the degree of accuracy of model needs further to be improved. The results of this study indicated that corn nutritive values could be fast and accurately predicted by NIRS. This model was significant in practice for enriching the rapid quantitative methods of determining animal feed materials.