1.Spatio-temporal process and the influencing factors on influenza A (H1N1) pandemic in Changsha
Hong XIAO ; Huai-Yu TIAN ; Jian ZHAO ; Xi-Xing ZHANG ; Pei-Juan ZHU ; Ru-Chun LIU ; Tian-Mu CHEN
Chinese Journal of Epidemiology 2011;32(6):587-592
Objective To analyze the spatio-temporal process on 2009 influenza A (HlNl) pandemic in Changsha and the influencing factors during the diffusion process. Methods Data were from the following 5 sources, influenza A (HlNl) pandemic gathered in 2009, Geographic Information System (GIS) of Changsha, the broad range of theorems and techniques of hot spot analysis, spatio-temporal process analysis and Spearman correlation analysis. Results Hot spot areas appeared to be more in the economically developed areas, such as cities and townships. The cluster of spatial-temporal distribution of influenza A (HlNl) pandemic was most likely appearing in Liuyang city (RR=22.70,P<0.01). The secondary cluster would include districts as Yuelu (RR=6A9,P< 0.01) , Yuhua (RR=81.63, P<0.01). Xingsha township appeared as the center in the Changsha county (RR=2.90, P<0.01) while townships as Yutangping (RR=19.31, P<0.01) , Chengjiao (RR=73.14,P<0.01) and Longtian appeared as the center in the west of Ningxiang county (RR= 14.43,P<0.01) and Wushan as the center in the Wangcheng county (RR= 13.84,P<0.01). As time went on, the epidemic moved towards the eastern and more developed regions. Regarding factor analysis, population, the amount of students, geographic relationship and business activities etc. appeared to be the key elements influencing the transmission of influenza A (H1N1) pandemic. At the beginning of the epidemic, population density served as the main factor (r=0.477, P<0.05) but during the initial and fast growing stages, it was replaced by the size of students to serve as the important indicator (r=0.831, P<0.01; r=0.518, P<0.01). However, during the peak of the epidemics, the business activities played an important role (r=-0.676, P<0.01). Conclusion Groups under high risk and districts with high incidence rates were shifting, along with the temporal process of influenza A(H1N1) pandemic, suggesting that the protection measures need to be adjusted, according to the significance of influencing factors at different stages.
2.The warning model and influence of climatic changes on hemorrhagic fever with renal syndrome in Changsha city.
Hong XIAO ; Huai-yu TIAN ; Xi-xing ZHANG ; Jian ZHAO ; Pei-juan ZHU ; Ru-chun LIU ; Tian-mu CHEN ; Xiang-yu DAI ; Xiao-ling LIN
Chinese Journal of Preventive Medicine 2011;45(10):881-885
OBJECTIVETo realize the influence of climatic changes on the transmission of hemorrhagic fever with renal syndrome (HFRS), and to explore the adoption of climatic factors in warning HFRS.
METHODSA total of 2171 cases of HFRS and the synchronous climatic data in Changsha from 2000 to 2009 were collected to a climate-based forecasting model for HFRS transmission. The Cochran-Armitage trend test was employed to explore the variation trend of the annual incidence of HFRS. Cross-correlations analysis was then adopted to assess the time-lag period between the climatic factors, including monthly average temperature, relative humidity, rainfall and Multivariate Elño-Southern Oscillation Index (MEI) and the monthly HFRS cases. Finally the time-series Poisson regression model was constructed to analyze the influence of different climatic factors on the HFRS transmission.
RESULTSThe annual incidence of HFRS in Changsha between 2000 - 2009 was 13.09/100 000 (755 cases), 9.92/100 000 (578 cases), 5.02/100 000 (294 cases), 2.55/100 000 (150 cases), 1.13/100 000 (67 cases), 1.16/100 000 (70 cases), 0.95/100 000 (58 cases), 1.40/100 000 (87 cases), 0.75/100 000 (47 cases) and 1.02/100 000 (65 cases), respectively. The incidence showed a decline during these years (Z = -5.78, P < 0.01). The results of Poisson regression model indicated that the monthly average temperature (18.00°C, r = 0.26, P < 0.01, 1-month lag period; IRR = 1.02, 95%CI: 1.00 - 1.03, P < 0.01), relative humidity (75.50%, r = 0.62, P < 0.01, 3-month lag period; IRR = 1.03, 95%CI: 1.02 - 1.04, P < 0.01), rainfall (112.40 mm, r = 0.25, P < 0.01, 6-month lag period; IRR = 1.01, 95CI: 1.01 - 1.02, P = 0.02), and MEI (r = 0.31, P < 0.01, 3-month lag period; IRR = 0.77, 95CI: 0.67 - 0.88, P < 0.01) were closely associated with monthly HFRS cases (18.10 cases).
CONCLUSIONClimate factors significantly influence the incidence of HFRS. If the influence of variable-autocorrelation, seasonality, and long-term trend were controlled, the accuracy of forecasting by the time-series Poisson regression model in Changsha would be comparatively high, and we could forecast the incidence of HFRS in advance.
China ; epidemiology ; Climate Change ; Forecasting ; Hemorrhagic Fever with Renal Syndrome ; epidemiology ; transmission ; Humans ; Humidity ; Incidence ; Models, Theoretical ; Seasons ; Temperature
3.Investigation on distribution of Yersinia enterocolitica in Henan province between 2005 and 2011.
Yu-jiao MU ; Jia-yong ZHAO ; Qiu-sheng GUO ; Xiao-chun GUO ; Huai-qi JING ; Sheng-li XIA
Chinese Journal of Preventive Medicine 2013;47(7):612-615
OBJECTIVETo investigate the distribution of Yersinia enterocolitica in Henan province from 2005 to 2011.
METHODSA total of 6700 samples of stool specimen were collected from diarrhea patients and different domestic animals between 2005 and 2011 from Zhengzhou, Suixian and Dengfeng, as well as flies and the daub specimens of raw and cooked meat products. The bacteria were isolated by cold enrichment method, analyzed by the systematic biochemistry to determine the serotypes and bio-types, and tested the virulence genes by PCR method.
RESULTSA total of 216 strains of Yersinia enterocolitica were isolated from 11 kinds of animal hosts and foods, while 29.63% (64/216) of them were from swine. The dominant epidemic serotypes of the Yersinia enterocolitica were O: 5 and O: 8, accounted for 23.2% (50/216) and 20.4% (44/216), respectively; type 1A was the dominant bio-type, accounted for 84.7% (183/216). The dominant serotype and bio-type differed a lot among various hosts.16 pathogenic strains were isolated from swine, followed by diarrhea patients (6 strains) and dogs (6 strains).
CONCLUSIONThe distribution of the host of Yersinia enterocolitica was widespread, while swine was the dominant animal host.
Animals ; Animals, Domestic ; microbiology ; Bacterial Typing Techniques ; China ; epidemiology ; Humans ; Yersinia Infections ; epidemiology ; Yersinia enterocolitica ; isolation & purification
4.Real-time measurement of noradrenaline release in central nervous system.
Wei HUANG ; Hong-Ping HUANG ; Yu MU ; Lei ZHANG ; Mu JIN ; Jing LV ; Jing-Li GU ; Yun XIU ; Bo ZHANG ; Ning GUO ; Tao LIU ; Lei SUN ; Mei-Ying SONG ; Claire Xi ZHANG ; Huai-Zhen RUAN ; Zhuan ZHOU
Acta Physiologica Sinica 2007;59(6):865-870
In order to investigate the central nervous mechanism and the diseases involved in catecholamine transmitter secretion, the dynamics of catecholamine release is studied in single cell, brain slice or in vivo. Noradrenaline is an important neurotransmitter and modulator in the central nervous system (CNS) and the peripheral nervous system (PNS). In the present paper, we first compared three real-time methods used to measure noradrenaline secretion in single cells (membrane capacitance, amperometry and confocal fluorescence microscopy imaging). Compared to the electrophysiological method and fluorescence microscopy, the basic usage of the carbon fiber electrode (CFE) in neuroscience research was presented as an example. Then, we presented a primary description of ion channels, including voltage-gated Na(+), K(+) and Ca(2+) channels in locus coeruleus (LC) neurons in rat brain slices. Finally, we presented example recordings of combined patch-clamp and amperometry measurements in LC neurons, indicating Ca(2+)-dependent quantal noradrenaline release following Ca(2+) influx through Ca(2+) channels.
Animals
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Central Nervous System
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physiology
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Ion Channels
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physiology
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Norepinephrine
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secretion
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Patch-Clamp Techniques
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Rats
5.Effect of Reinforcing Qi and Activating Blood Recipe on Ventricular Remodeling in Rats with Chronic Heart Failure and Mechanisms Involved
Zi-han FANG ; Ying-yu XIE ; Ming-yang WANG ; Ya-nan WANG ; Yuan-fang LI ; Huai-yu MU ; Jun-ping ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2020;26(4):82-87
Objective::To observe the intervention effect of Yiqi Huoxue recipe (YQHX) on ventricular remodeling in rats with chronic heart failure, in order to explore its mechanism. Method::Among 40 male SD rats, 10 were randomly selected as the sham operation group. The left anterior descending coronary artery ligation was performed to construct the chronic heart failure(CHF) rat model. After modeling, they were randomly divided into model group, captopril group(13.5 mg·kg-1·d-1) and YQHX group (20 g·kg-1·d-1), and orally given the corresponding drugs. After 8 weeks of intervention, cardiac tissues were collected, body mass and heart mass were weighed, and echocardiography were performed to detect the changes in cardiac structure. Masson staining was performed to determine the myocardial interstitial collagen volume fraction. Western blot was used to detect the expression levels of mitochondrial fusion protein optic atrophy 1 (Opa1) and cleavage protein dynamic-related protein 1 (Drpl). The quantitative real-time fluorescence polymerase chain reaction(Real-time PCR)was applied to detect the expressions of Wnt/
6.Effect of Shanhaidan Granules combined with tadalafil on erectile dysfunction: A multi-center clinical trial.
Yan-Ping HUANG ; Zheng-Mu WU ; Nian-Qin YANG ; Yu PENG ; Wei-Jie CHEN ; Li LI ; Lei CHEN ; Huai-Jin CHENG ; Mu-Jun LU
National Journal of Andrology 2021;27(9):819-824
Objective:
To observe the clinical effect and safety of Shanhaidan Granules (SHDG) combined with tadalafil tablets (TT) in the treatment of ED.
METHODS:
In this open multi-center case-control clinical trial, we enrolled 247 ED patients according to the designed criteria, and treated them orally with SHDG at 10 g per time tid (n = 74), TT at 5 mg per time bid (n = 52), or SHDG + TT at the above doses (n = 121), all for 8 weeks. Before and after medication, we recorded the IIEF-6, erection hardness scores (EHS), traditional Chinese medicine syndromes (TCMS) scores, penile cavernous blood flow parameters and adverse reactions, and compared them between the 3 groups of patients.
RESULTS:
After 8 weeks of treatment, all the patients showed significantly increased IIEF-6, EHS and TCMS scores in comparison with the baseline (P < 0.05). The total effectiveness rates in the SHDG, TT and SHDG + TT groups were 60.8%, 67.3% and 69.4% respectively based on the IIEF-6 scores, remarkably higher in the TT and SHDG + TT groups than in the SHDG group (P < 0.05), and 40.5%, 32.7% and 63.6% respectively according to the TCMS scores, markedly higher in the SHDG and SHDG + TT groups than in the TT group (P < 0.05). Single-center data manifested significantly increased peak systolic velocity (PSV) of the penile artery in the SHDG + TT and TT groups (P < 0.05). The improvement values of relevant parameters were remarkably higher in the SHDG + TT group than in the TT and SHDG groups, so were IIEF-6 scores in the TT than in the SHDG group, and TCM syndromes in the SHDG than in the TT group. No medication-related adverse events were found in any of patients after treatment, except for some mild side effects including muscle soreness and gastrointestinal reactions in a few cases, all soon relieved, none with abnormalities in blood and urine routine tests or hepatic and renal function indicators.
CONCLUSIONS
Shanhaidan Granules combined with tadalafil can significantly improve the erectile function and reduce TCM syndromes in ED patients, and therefore can be applied effectively and safely in clinical practice./.
Erectile Dysfunction/drug therapy*
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Humans
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Male
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Medicine, Chinese Traditional
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Penile Erection
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Syndrome
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Tadalafil/therapeutic use*