2.Study on the effect of cold air over the coagulation function by exposing healthy rats and hypertensive rats to a simulated cold air.
Bin LUO ; Shu-Yu ZHANG ; Ji ZHOU ; Shou-Cun MA ; Bao-Jian WANG
Chinese Journal of Applied Physiology 2012;28(5):390-393
OBJECTIVETo explore the effect of temperature dropping process in cold air on the coagulation function both in healthy and hypertensive rats.
METHODSTwenty-four male healthy Wistar rats and 24 male spontaneous hypertensive rats (SHR) were randomly divided into the minimum temperature group (Tim), Tmin control group (Tmin-c), recovery temperature group (Tr) and Tr control group (Tr-c), With the simulated temperature dropping process of a cold air, collected from Zhangye city in March of 2011, the groups of Tmin and Tr were exposed to this process. Both at the Tmin and Tr, blood were collected from the rats for coagulation function measurements.
RESULTSCompared with the control group, no significant difference was found in the results of activated partial thrombin time(APIT), pro-thrombin time (PF) and thrombin time (TT) between any groups in any strains (P > 0.05). The fibrinogen (Fbg) and fibrinogen-time were found to be obvious higher and shorter in Tmin and Tr of healthy rats and in Tmin of hypertensive rats in contrast to the control group. Hypertensive rats had higher level of fibrinogen and shorter level of fibrinogen-time.
CONCLUSIONThe temperature dropping process induced the increase of plasma Fbg both in the healthy and hypertensive subjects, which might be the reason to explain the higher occurrence of cardiovascular diseases event especially these activated through the formation of thrombin during cold air stress. Besides, the coagulation function of healthy subjects was more likely to be affected by cold air than the hypertensive subjects.
Animals ; Blood Coagulation ; Cold Temperature ; Hypertension ; physiopathology ; Male ; Rats ; Rats, Inbred SHR ; Rats, Wistar ; Thrombin Time
3.Investigation of constituents in siwu tang fractions by chromatographic and ESI-MS methods.
Qian-de LANG ; Bai-ping MA ; Wei-hua LI ; Cun ZHANG ; Hong-xia WANG ; Shou-guo ZHANG ; Kai-hua WEI ; Sheng-qi WANG
China Journal of Chinese Materia Medica 2004;29(4):334-339
OBJECTIVEIn order to discuss the chemical foundation of hematopoietic effect of Siwu Tang, three fractions of different polarities (C1, C2 and C3) were prepared from Siwu Tang and the characteristics of these fractions' constituents were investigated.
METHODFraction C1, C2 and C3 of Siwu Tang and corresponding fractions of Siwu Tang's four ingredient drugs were analyzed and compared, synthetically using the three methods of high-performance thin layer chromatography (HPTLC), high-performance liquid chromatography (HPLC) and direct infusion electrospray ionization mass spectrometry (ESI-MS).
RESULTFraction C1 of Siwu Tang contained various types of compounds, including ferulic acid, paeoniflorin and supposedly ligustilide, etc. Saccharide content in fraction C1 was very little. The major constituents in fraction C2 of Siwu Tang were paeoniflorin, monosaccaride and disaccharide. The major constituents in fraction C3 of Siwu Tang were monosaccaride and disaccharide.
CONCLUSIONWith synthetical chromatographic and direct infusion ESI-MS methods, abundant information on composition of fractions of traditional Chinese medicine formulas can be obtained. The results gained with different methods can be compared with each other and corroborate each other, so that the obtained information can be more comprehensive and more definite than that gained with single method. The results of this study are important as references for the discussion of the chemical foundation of hematopoietic effect of Siwu Tang.
Angelica sinensis ; chemistry ; Benzoates ; analysis ; Bridged-Ring Compounds ; analysis ; Chromatography, High Pressure Liquid ; Chromatography, Thin Layer ; Coumaric Acids ; analysis ; Disaccharides ; analysis ; Drugs, Chinese Herbal ; chemistry ; isolation & purification ; Glucosides ; analysis ; Ligusticum ; chemistry ; Monosaccharides ; analysis ; Monoterpenes ; Paeonia ; chemistry ; Plants, Medicinal ; chemistry ; Rehmannia ; chemistry ; Spectrometry, Mass, Electrospray Ionization
4.Spatial analysis of echinococcosis in pastoral area of Qinghai province, 2019.
Tian Tian ZHANG ; Xiao MA ; Wen LEI ; Yu Ying LIU ; Bin LI ; Bing Cun MA ; Shou LIU
Chinese Journal of Epidemiology 2022;43(5):709-715
Objective: To understand the spatial characteristics of echinococcosis and associated factors in the pastoral area of Qinghai province, and provide evidence for the effective prevention and control of echinococcosis. Methods: The number of echinococcosis cases in the pastoral areas of Qinghai in 2019 was collected to perform spatial epidemiological analysis. The thematic map of the distribution of echinococcosis cases was generated with software ArcGIS 10.8 for visual analysis and spatial autocorrelation analysis. The spatial autocorrelation and spatial scanning analysis were performed to estimate the clustering of echinococcosis with software SaTScan 9.5. Software GeoDa 1.14 and ArcGIS 10.8 were used to establish spatial lag model and geographical weighted regression model to analyze the related factors of echinococcosis epidemic. Results: In 2019, the echinococcosis surveillance covered 64 741 people in the pastoral area of Qinghai, and 829 echinococcosis cases were found, with a prevalence rate of 1.28%. The distribution of the cases had spatial correlation (Moran's I=0.41, P<0.001). The most possible clustering areas indicated by spatial scanning analysis included Banma, Jiuzhi, Dari and Gande counties of Guoluo Tibetan Autonomous Prefecture (LLR=460.77, RR=9.20, P<0.001). The prevalence of echinococcosis in the pastoral areas was positively associated with the total annual precipitation (β=0.13, P=0.036), and negatively associated with population density (β=-1.36, P=0.019) and doctors/nurse ratio (β=-25.60, P=0.026). Conclusions: The distribution of echinococcosis cases in the pastoral areas of Qinghai in 2019 had spatial correlation, and the prevalence was affected by total annual precipitation, population density, and doctors/nurse ratio.
China/epidemiology*
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Cluster Analysis
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Echinococcosis/epidemiology*
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Epidemics
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Humans
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Prevalence
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Spatial Analysis