Jing Xie

Chinese PLA General Hospital (301 Hospital), Peping, Beijing, China

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Publications (2)1.08 Total impact

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    ABSTRACT: To establish a simple method of measuring hydrogen sulfide (H2S) in cultured living cells. Filtration membrane was stuck on the lid of cell culture plate. H2S released from cultured cells was trapped by zinc acetate to generate ZnS deposition. Then the ZnS trapped in the filtration membrane was measured by methylene blue assay and the H2S production from the living cells was counted according to the standard curve. This simple method was used to access the H2S release in HepG2 (high expression CBS and CSE) and HUVEC (low expression CSE) cell lines. H2S generation in cultured HepG2 cells assayed using the present method was (859.39±19.12) nmol/(min×10(6) cells). PAG (CSE inhibitor), HA (CBS inhibitor) or the two-inhibitor (PAG+HA) treatment significantly lowered H2S release, respectively: (341.34±105.90) nmol/(min×10(6) cells), (375.05±174.50) nmol/(min×10(6) cells), and (204.47±97.14) nmol/(min×10(6) cells). The H2S production of HUVEC was (26.23±3.24) nmol/(min×10(6) cells) (about 1/30 production of HepG2 cell). Trypan blue assay showed that the cell viability was greater than 95%, suggesting that there was no cytotoxicity by using the present instrument. The modified instrument in cell culture plate lid was feasible for detection of hydrogen sulfide release in living cells.
    Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences 06/2013; 45(3):489-92.
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    ABSTRACT: The objective of the present study was to evaluate the predictive values of percent body fat (PBF) and body mass index (BMI) for cardiovascular risk factors, especially when PBF and BMI are conflicting. BMI was calculated by the standard formula and PBF was determined by bioelectrical impedance analysis. A total of 3859 ambulatory adult Han Chinese subjects (2173 males and 1686 females, age range: 18-85 years) without a history of cardiovascular diseases were recruited from February to September 2009. Based on BMI and PBF, they were classified into group 1 (normal BMI and PBF, N = 1961), group 2 (normal BMI, but abnormal PBF, N = 381), group 3 (abnormal BMI, but normal PBF, N = 681), and group 4 (abnormal BMI and PBF, N = 836). When age, gender, lifestyle, and family history of obesity were adjusted, PBF, but not BMI, was correlated with blood glucose and lipid levels. The odds ratio (OR) and 95% confidence interval (CI) for cardiovascular risk factors in groups 2 and 4 were 1.88 (1.45-2.45) and 2.06 (1.26-3.35) times those in group 1, respectively, but remained unchanged in group 3 (OR = 1.32, 95%CI = 0.92-1.89). Logistic regression models also demonstrated that PBF, rather than BMI, was independently associated with cardiovascular risk factors. In conclusion, PBF, and not BMI, is independently associated with cardiovascular risk factors, indicating that PBF is a better predictor.
    Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas / Sociedade Brasileira de Biofisica ... [et al.] 04/2012; 45(7):591-600. · 1.08 Impact Factor