1.Kinetics of Cu crossing human erythrocyte membrane.
Journal of Experimental Hematology 2014;22(6):1707-1710
This study was aimed to investigate various factors influencing the proceduction of Cu(II) crossing human erythrocyte membrane, including concentration of Cu²⁺, pH value of the medium, temperature and time of incubation, and to derive kinetic equation of Cu(II) crossing human erythrocyte membrane. Suspension red blood cells were incubated by Cu²⁺, then content of Cu²⁺ crossed human erythrocyte membrane was determined by atomic absorption spectrometry under various conditions after digestion. The results showed that content of Cu²⁺ crossed human erythrocyte membrane increased with the increase of extracellular Cu²⁺ and enhancement of incubation temperature, and the content of Cu²⁺ crossed human erythrocyte membrane showed a increasing tendency when pH reached to 6.2-7.4, and to maximum at pH 7.4, then gradually decreased at range of pH 7.4-9.2. It is concluded that the Cu²⁺ crossing human erythrocyte has been confirmed to be the first order kinetics characteristics within 120 min, and the linear equation is 10³ × Y = 0.0497t +6.5992.
Copper
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pharmacology
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Erythrocyte Membrane
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drug effects
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Humans
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Hydrogen-Ion Concentration
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Kinetics
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Temperature
2.Risk factors of primary acute mesenteric venous thrombosis in plateau area
Biao CHEN ; Dun-Zhu BA-SANG ; Zha-Xi BIAN-BA ; Ci-Ren PU-BU ; Lin CONG
Chinese Journal of General Surgery 2022;37(7):499-502
Objective:To explore the risk factors of primary acute mesenteric venous thrombosis (AMVT) in plateau area.Methods:Data of 54 primary AMVT cases admitted to the People's Hospital of Tibet Autonomous Region between Jan 2015 and Jul 2021 were retrospectively analyzed. There were 42 males and 12 females, aged from 29-79 years. One hundred and ninty matched volunteers severed as control. Logistic multivariate regression analysis was used to screen out independent risk factors. The receiver operating characteristic (ROC) curve and the area under the curve are used to evaluate the value of each indicator and model prediction.Results:Univariate analysis showed that the two groups were significantly different in gender, smoking history, drinking history, and hemoglobin concentration ( P<0.05); there was no significant difference in age, altitude of residence, uric acid and BMI ( P>0.05). Logistic multivariate regression analysis showed that male ( OR=2.466, 95% CI: 1.166-5.212, P=0.018), elevated hemoglobin levels ( OR=2.761, 95% CI: 1.411-5.403, P=0.003) were independent risk factors for primary AMVT. The area under the ROC curve of the two predictors and prediction model are 0.639 (95% CI: 0.559-0.719), 0.650 (95% CI: 0.563-0.737), 0.697 (95% CI: 0.618-0.776). Conclusion:Male and elevated hemoglobin levels are independent risk factors for primary AMVT in plateau areas.
3.Study on the genotyping and microevolution of Yersinia pestis in the Qinghai-Tibet Plateau.
Min LI ; Er-hei DAI ; Rui-xia DAI ; Dong-sheng ZHOU ; Xiao-yan YANG ; Bai-zhong CUI ; Li-xia JIN ; Hai-hong ZHAO ; Cun-xiang LI ; Mei-ying QI ; Dun-zhu Ci REN ; Xiang DAI ; Yong-jiao TANG ; Rui-fu YANG
Chinese Journal of Epidemiology 2006;27(5):412-415
OBJECTIVETo study the distribution of genomovars and microevolution of Yersinia pestis in the Qinghai-Tibet Plateau.
METHODSPrimer pairs targeting the twenty-two different regions(DFRs) were designed for detecting the presence or deletion of each DFR in 297 strains isolated from the Qinghai-Tibet Plateau.
RESULTS9 genomovars, i. e. Genomovar 1, 5, 6, 7, 8, 10, 11, new type and Ype-ancestor were identified in the Marmota himalayana plague focus of the Qinghai-Tibet Plateau. Among these genomovars, genomovar 5,8 and 10 were dominant types. The total rate of the three genomovars was 80.6% (204/253) and the genomovars in different regions were different. All of 44 strains of Y. pestis in the Microtus fuscus plague focus of the Qinghai-Tibet Plateau belonged to genomovar 14.
CONCLUSIONThe distribution of genomovars of Y. pestis in the Qinghai-Tibet plateau had remarkable characteristics geographically. Based on the distribution of genomovars of Y. pestis, the routes of transmission and microevolution of Y. pestis were proposed.
Biological Evolution ; China ; Geography ; Humans ; Plague ; transmission ; Yersinia pestis ; genetics