1.Effects of nitrogen application levels on yield and active composition content of Desmodium styracifolium.
Jiamin ZHOU ; Xiaohong YIN ; Chaojun CHEN ; Min HUANG ; Fuyuan PENG ; Xiaoqi ZHU
China Journal of Chinese Materia Medica 2010;35(12):1533-1536
OBJECTIVETo find out the optimal nitrogen application level of Desmodium styracifolium.
METHODA field experiment using randomized block design was carried out to study the effects of 5 nitrogen application levels (150, 187.5, 225.0, 262.5 and 300.0 kg x hm(-2)) on yield and active component content of D. styracifolium.
RESULTNitrogen application could increase the yield and contents of polysaccharide, total flavonoides and total saponins of D. styracifolium. However, the enhancing extent of the active component content and the yield were not always significant with the increase of nitrogen level. In which, the yield were not significantly different among the nitrogen application levels of 225.0, 262.5, 300.0 kg x hm(-2) the polysaccharide content was no significantly difference among the nitrogen application levels of 225.0, 262. 5 and 300.0 kg x hm(-2), the total flavonoides content under the nitrogen level of 300.0 kg x hm(-2) was significantly lower than that of 150.0 kg hm(-2) (P < 0.01), and the total saponins content under the nitrogen level of 300.0 kg x hm(-2) was no significant difference compared with that of 262.5 kg x hm(-2).
CONCLUSIONThe optimal nitrogen application level of D. styracifolium was 225.0-262.5 kg x hm(-2).
Fabaceae ; chemistry ; metabolism ; Fertilizers ; analysis ; Flavonoids ; analysis ; metabolism ; Nitrogen ; analysis ; metabolism ; Plant Extracts ; analysis ; metabolism ; Polysaccharides ; analysis ; metabolism ; Soil ; analysis
2.Consensus for the management of severe acute respiratory syndrome.
Nanshang ZHONG ; Yanqing DING ; Yuanli MAO ; Qian WANG ; Guangfa WANG ; Dewen WANG ; Yulong CONG ; Qun LI ; Youning LIU ; Li RUAN ; Baoyuan CHEN ; Xiangke DU ; Yonghong YANG ; Zheng ZHANG ; Xuezhe ZHANG ; Jiangtao LIN ; Jie ZHENG ; Qingyu ZHU ; Daxin NI ; Xiuming XI ; Guang ZENG ; Daqing MA ; Chen WANG ; Wei WANG ; Beining WANG ; Jianwei WANG ; Dawei LIU ; Xingwang LI ; Xiaoqing LIU ; Jie CHEN ; Rongchang CHEN ; Fuyuan MIN ; Peiying YANG ; Yuanchun ZHANG ; Huiming LUO ; Zhenwei LANG ; Yonghua HU ; Anping NI ; Wuchun CAO ; Jie LEI ; Shuchen WANG ; Yuguang WANG ; Xioalin TONG ; Weisheng LIU ; Min ZHU ; Yunling ZHANG ; Zhongde ZHANG ; Xiaomei ZHANG ; Xuihui LI ; Wei CHEN ; Xuihua XHEN ; Lin LIN ; Yunjian LUO ; Jiaxi ZHONG ; Weilang WENG ; Shengquan PENG ; Zhiheng PAN ; Yongyan WANG ; Rongbing WANG ; Junling ZUO ; Baoyan LIU ; Ning ZHANG ; Junping ZHANG ; Binghou ZHANG ; Zengying ZHANG ; Weidong WANG ; Lixin CHEN ; Pingan ZHOU ; Yi LUO ; Liangduo JIANG ; Enxiang CHAO ; Liping GUO ; Xuechun TAN ; Junhui PAN ; null ; null
Chinese Medical Journal 2003;116(11):1603-1635
3.Network Correlation Analysis Between Components of Shuanghuanglian Injection and Allergy-like Targets
Weilong ZHANG ; Hong HE ; Ru QIAO ; Peng HE ; Wenjiao LI ; Liangqi ZHANG ; Xiaoxuan LIU ; Siqi HUANG ; Xue PAN ; Fuyuan HE
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(19):190-197
ObjectiveBased on the network pharmacology system and quantitative spectroscopy of traditional Chinese medicine(TCM) compounds, a topological network analysis method with equilibrium constant as the core was established to further explore the interaction between allergenic components and their network targets in Shuanghuanglian injection(SHLI), in order to provide new ideas and experimental basis for identifying and screening potential allergens of SHLI. MethodAfter one week of adaptive feeding, 72 SPF-grade SD male rats were randomly divided into blank group, SHLI standard group, Lonicerae Japonicae Flos(LJF) group, Scutellariae Radix(SR) group, Forsythiae Fructus(FF) group, and 7 groups of SHLI matching groups(groups 1-7), with 6 rats in each group. Rats in each group were administered the drug intravenously and blood samples were taken after steady state, high performance liquid chromatography(HPLC) characterization profiles of the testing drugs and plasma components in each group were established, and the peak area changes of the drugs and plasma components in each group were calculated after the component groups were classified. Enzyme-linked immunosorbent assay(ELISA) was used to determine the changes of immunoglobulin E(IgE), histamine(HIS), tryptase(TPS), total complement(CH50) and terminal complement complex(C5b-9) in animal blood samples. MATLAB R2020b v9.9.0 software was used to calculate the network balance constants of the component groups with the targets, and the eigenvalues of the matrices composed of network equilibrium constants were calculated and ranked according to their values. ResultELISA results showed that, compared with the blank group, groups 1-3 could significantly increase the IgE level, groups 1-2, groups 4-6 and SHLI standard group could significantly increase the HIS level, group 4 could significantly increase the CH50 level, groups 1, 3-4, LJF group and FF group could significantly increase the TPS level, SR group could significantly increase the C5b-9 level, and the differences were all statistically significant(P<0.05). According to the retention time of chromatographic peaks, it was classified into 6 component groups from C1 to C6 by HPLC. The order of the network balance constants of each component group was C6>C4>C1>C5>C3>C2, indicating that C6 had the greatest effect on the allergic reaction, and was most likely to be the allergen. The sequence of eigenvalues was C2>C5b-9>C3>C1>CH50>C6>C5>IgE>TPS>C4>HIS, indicating that component group C2 had the greatest contribution to the whole network. ConclusionBased on the correlation analysis of SHLI component group and allergy-like target network, this study clarified that component group C6 may be a potential allergen in SHLI, and the component group C2 may be a key node in the mechanism of drug action, which can provide new strategies and methods for the screening of allergens in TCM injections.