Objective:To investigate the association between urinary arsenic, selenium, and chromium levels and the risk and predisposing factors of diabetes mellitus in people with previous endemic arsenic exposure.Methods:From September to December 2024, 240 residents in the drinking-water-borne endemic arsenic disease area in Hohhot were taken as the study subjects. They were divided into an exposed group ( n = 91) and a non-exposed group ( n = 149) based on whether they had suffered from arsenism in the past. The exposed group was further divided into diabetes and non diabetes subgroups ( n = 54, 37) based on the prevalence of diabetes, and the diabetes subgroup was further divided into type 1 and type 2 diabetes subgroups ( n = 23, 31) based on the type of diabetes. Questionnaire survey was conducted to investigate the basic situation, measure fasting blood glucose, and determine the levels of arsenic, selenium, and chromium in urine by inductively coupled plasma mass spectrometry. Multivariate logistic regression analysis was used to assess the risk factors of diabetes mellitus. Results:The difference of prevalence of diabetes mellitus was statistically significant between the exposed group and non-exposed group [59.3% (54/91) vs. 41.6% (62/149), χ2 = 7.11, P = 0.008]. The levels of urinary arsenic, selenium, and chromium in the exposed group were higher than those in the non-exposed group ( t = - 2.00, - 2.14, - 2.18, P < 0.05). There were statistically significant differences in urinary arsenic level, body mass index (BMI), the distribution of age, smoking status, and gender between the diabetes patients and non-diabetes patients in the exposed group ( t = 2.20, 3.57, χ2 = 10.76, 5.23, 4.01, P < 0.05). The difference of urinary arsenic levels were statistically significant between patients with type 1 diabetes and type 2 diabetes in the exposed group ( t = - 2.06, P = 0.048). Multivariate logistic regression analysis showed that BMI, age, sex, smoking, and urinary arsenic levels were risk factors for diabetes ( P < 0.05). For every 1-unit increase in urinary arsenic, fasting blood glucose levels increased by 0.057 times (95% CI: 0.018 - 0.103, P = 0.029). Conclusions:There is a significant correlation between the urine arsenic level of people with previous endemic arsenic exposure and diabetes, especially type 2 diabetes. Men, smoking, overweight, age ≥65 years, and high urinary arsenic level are risk factors for diabetes.

Objective:To investigate the association between urinary arsenic, selenium, and chromium levels and the risk and predisposing factors of diabetes mellitus in people with previous endemic arsenic exposure.Methods:From September to December 2024, 240 residents in the drinking-water-borne endemic arsenic disease area in Hohhot were taken as the study subjects. They were divided into an exposed group ( n = 91) and a non-exposed group ( n = 149) based on whether they had suffered from arsenism in the past. The exposed group was further divided into diabetes and non diabetes subgroups ( n = 54, 37) based on the prevalence of diabetes, and the diabetes subgroup was further divided into type 1 and type 2 diabetes subgroups ( n = 23, 31) based on the type of diabetes. Questionnaire survey was conducted to investigate the basic situation, measure fasting blood glucose, and determine the levels of arsenic, selenium, and chromium in urine by inductively coupled plasma mass spectrometry. Multivariate logistic regression analysis was used to assess the risk factors of diabetes mellitus. Results:The difference of prevalence of diabetes mellitus was statistically significant between the exposed group and non-exposed group [59.3% (54/91) vs. 41.6% (62/149), χ2 = 7.11, P = 0.008]. The levels of urinary arsenic, selenium, and chromium in the exposed group were higher than those in the non-exposed group ( t = - 2.00, - 2.14, - 2.18, P < 0.05). There were statistically significant differences in urinary arsenic level, body mass index (BMI), the distribution of age, smoking status, and gender between the diabetes patients and non-diabetes patients in the exposed group ( t = 2.20, 3.57, χ2 = 10.76, 5.23, 4.01, P < 0.05). The difference of urinary arsenic levels were statistically significant between patients with type 1 diabetes and type 2 diabetes in the exposed group ( t = - 2.06, P = 0.048). Multivariate logistic regression analysis showed that BMI, age, sex, smoking, and urinary arsenic levels were risk factors for diabetes ( P < 0.05). For every 1-unit increase in urinary arsenic, fasting blood glucose levels increased by 0.057 times (95% CI: 0.018 - 0.103, P = 0.029). Conclusions:There is a significant correlation between the urine arsenic level of people with previous endemic arsenic exposure and diabetes, especially type 2 diabetes. Men, smoking, overweight, age ≥65 years, and high urinary arsenic level are risk factors for diabetes.

OBJECTIVETo look for optimum extraction techniques for oleuropein by boiling olive leaves at low temperature and reduced pressure.

METHODAccording to single factor experiment (SFE) design, the effects of seven factors, the impact of seven factors, type of solvent, temperature, time, ratio of material to liquid, ethanol concentration, vacuum degree and extraction times, on extraction yield of oleuropein were investigated. Based on the results of SFE, four more important factors, temperature, time, ratio of material to liquid and ethanol concentration, were selected in L9 (3(4)) orthogonal experiment (OE) to compare with those extracted with traditional methods.

RESULTThe optimum conditions for boiling extraction of oleuropein at low temperature and reduced pressure were as follows: temperature 60 degrees C, time 20 min, ratio of material to liquid 1:30 and ethanol concentration 85%. The conditions presented an extraction yield of 5.90%.

CONCLUSIONCompared with traditional extraction methods and the ultrasound assisted extraction method, boiling extraction techniques at low temperature and reduced pressure were so quick and efficient that it has a good application prospect.

Iridoids ; Liquid-Liquid Extraction ; methods ; Olea ; chemistry ; Plant Leaves ; chemistry ; Pressure ; Pyrans ; chemistry ; Technology, Pharmaceutical ; methods ; Temperature

OBJECTIVESTo study the interaction of beta-2-glycoprotein I (beta 2GPI) with the membrane of hepatocytes and determine whether beta 2GPI participates in HBV infection.

METHODSLigand blotting, fluorescence microscopy, and fluorescence activated cell sorter (FACS) analysis were used to detect the specific interaction of beta 2GPI with the hepatoma cell line smmc7721, the gastric carcinoma cell line SGC7901, and the lymphoma cell line HL-60.

RESULTSA specific 40 kDa beta 2GPI band was observed by ligand blotting in the case of smmc7721 cells. No such band was observed in SGC7901 or HL-60 cells. Fluorescence microscopy also revealed specific binding of FITC-beta 2GPI to smmc7721 cells, but neither to SGC7901 nor HL-60 cells. FACS analysis demonstrated that the binding rate of FITC-beta 2GPI to smmc7721 cells was significantly higher than these in SGC7901 and HL-60 cells (P < 0.01). The binding rate to smmc7721 cells did not increase with increasing amounts of FITC-beta 2GPI.

CONCLUSIONSThere is a specific beta 2GPI-binding protein on the membrane of hepatoma cells in cell line smmc7721 which as the beta 2GPI receptor may participate in HBV infection of hepatocytes.

Animals ; Carcinoma, Hepatocellular ; Cell Membrane ; metabolism ; Flow Cytometry ; Glycoproteins ; metabolism ; Hepatocytes ; metabolism ; Liver Neoplasms, Experimental ; metabolism ; Platelet Glycoprotein GPIb-IX Complex ; analysis ; Platelet Membrane Glycoproteins ; Tumor Cells, Cultured ; beta 2-Glycoprotein I

Objective To explore the level and clinical significance of combination rate between beta2-glycoproteinⅠand platelet in the ulcerative colitis patients.Methods For 67 ulcerative colitis(UC) patients from the First and the Second Hospital of Jilin University from the September 2003 to December 2004,using flow cytometry(FCM),we detected combination rates of between beta2-glycoproteinⅠand platelet in the UC patients and in the normal control subjects,respectively.Results There was significant difference in the combination rates of beta2-glycoproteinⅠand platelet in the two UC groups and normal control group(P

Objective To study the relationship between anti-? 2-glycoprotein I(a? 2GPⅠ) and extracellular matrix (ECM) in patients with post-hepatitis B cirrhosis (PHBC).Method The of patients with chronic hepatitis B (CHB) and PHBC were studied for the serum a? 2GPⅠ levels by ELISA with purified ? 2GPⅠ as antigen, and we investigated serum level of collagen IV (IV-C)?hyaluronic acid (HA) and laminin (LN) in these patients.Result High positive rate was observed compared with control group (P