OBJECTIVE:To optimize drug for injection dispensing model in order to supply reference for popularity of automatic injection drug dispensing system(AIDDS) in inpatient dispensary.METHODS:Two kinds of drug dispensing model were adopted in five departments.In 10 working days before and after application of AIDDS,the time of drug dispensing flow needed was recorded.The time of every drug dispensing step needed for single patient was recorded and analyzed to evaluate the benefit of system.RESULTS:After application of AIDDS,the drug dispensing time for single patient reduced from 1.5～2.1 min to 0.45～0.80 min.The drug dispensing efficiency was improved significantly,the extent of which was in positive correlation to amount of patient demanding drug dispensing.CONCLUSION:The application of AIDDS speedups drug for injection dispensing,shortens dispensing time and saves human resource.

Chorismic acid is a mid-metabolite that plays a central role in the metablism process distributing in the bacterium, epiphyte and plants. It is a common precursor substance of the all aromatic amino acids that can turn into phenylalanine and tyrosine catalyzed by bi-functional enzyme chorismate mutase (CM)-prephenate dehydratase (PDT) and chorismate mutase-prephenate dehydrogenase (PDH) respectively. CMp-PDT with its regulate domain Rp were called P-protein and CMt-PDH with its regulate domain Rt were called T-protein. P-protein and T-protein from E. coli. have a similar structure, both of which contained three domains: CMp, PDT, Rp in P-protein and CMt, PDH, Rt in T-protein. P-protein and T-protein are regulated by their effectors phenylalanine and tyrosine respectively through binding to their Rp and Rt domains. Rp and Rt domains were switched between P-protein and T-protein by cloning of chimeric proteins. The results showed that regulatory effects were switched along the switch of R domains and the switch of the regulatory domains lead to the switch of effectors. It means that the combination of the regulatory domain and the effector is specific and the regulating of the regulatory domain to the enzyme activity is non-specific. This property of R domains may make them possible molecular elements in the study of molecular machines.

Objective:To investigate the association of urinary cadmium levels with peripheral leukocyte classification counts among middle-aged and older adults aged 40 to 89 years in selected areas of China.Methods:The research was based on the survey of the impact of soil quality of agricultural land on human health in typical areas conducted in 2019-2020. A total of 5 600 middle-aged and older adults aged 40 to 89 years were included by using a multi-stage stratified random sampling method. Baseline characteristics of the subjects were collected and physical examinations were performed. Random midstream urine was collected to measure urinary cadmium and urinary creatinine and fasting venous blood was collected to measure the leukocyte count, neutrophil count, lymphocyte count, monocyte count and eosinophil count. The linear mixed effect model was used to analyse the association of urinary cadmium levels with leukocyte classification counts, and the dose-response relationship between them was analyzed by using the restricted cubic spline (RCS) function.Results:The age of the subjects was (63.17±12.02) years; 2 851 (50.91%) were males; and the M ( Q 1, Q 3) of urinary creatinine-corrected urinary cadmium levels was 2.69 (1.52, 4.69) μg/g·creatinine. After adjusting for confounding factors, the results of linear mixed effects model analysis showed that for each 1-unit increase in urinary creatinine-corrected urinary cadmium level, the percentage change [% (95% CI)] of leukocyte count and lymphocyte count was -1.70% (-2.61%, -0.79%) and -1.57% (-2.86%, -0.26%), respectively. RCS function showed a negative linear relationship between urinary creatinine-corrected urinary cadmium levels and leukocyte counts and lymphocyte counts, respectively (all Pnon-linear>0.05). Conclusion:Urinary cadmium levels are negatively associated with leukocyte count and lymphocyte count among middle-aged and older adults aged 40 to 89 years in selected areas of China.

Objective:To investigate the association of urinary cadmium levels with peripheral leukocyte classification counts among middle-aged and older adults aged 40 to 89 years in selected areas of China.Methods:The research was based on the survey of the impact of soil quality of agricultural land on human health in typical areas conducted in 2019-2020. A total of 5 600 middle-aged and older adults aged 40 to 89 years were included by using a multi-stage stratified random sampling method. Baseline characteristics of the subjects were collected and physical examinations were performed. Random midstream urine was collected to measure urinary cadmium and urinary creatinine and fasting venous blood was collected to measure the leukocyte count, neutrophil count, lymphocyte count, monocyte count and eosinophil count. The linear mixed effect model was used to analyse the association of urinary cadmium levels with leukocyte classification counts, and the dose-response relationship between them was analyzed by using the restricted cubic spline (RCS) function.Results:The age of the subjects was (63.17±12.02) years; 2 851 (50.91%) were males; and the M ( Q 1, Q 3) of urinary creatinine-corrected urinary cadmium levels was 2.69 (1.52, 4.69) μg/g·creatinine. After adjusting for confounding factors, the results of linear mixed effects model analysis showed that for each 1-unit increase in urinary creatinine-corrected urinary cadmium level, the percentage change [% (95% CI)] of leukocyte count and lymphocyte count was -1.70% (-2.61%, -0.79%) and -1.57% (-2.86%, -0.26%), respectively. RCS function showed a negative linear relationship between urinary creatinine-corrected urinary cadmium levels and leukocyte counts and lymphocyte counts, respectively (all Pnon-linear>0.05). Conclusion:Urinary cadmium levels are negatively associated with leukocyte count and lymphocyte count among middle-aged and older adults aged 40 to 89 years in selected areas of China.

Objective:To investigate the effects of urinary nickel exposure on insulin resistance, islet function and diabetes risk in adults aged 18 years and above in China.Methods:Based on the China National Human Biomonitoring from 2017 to 2018, a total of 500 diabetes patients were randomly selected as the case group, and the matched euglycemic control were selected by 1∶1 matching ratio. The urinary and venous blood samples of the subjects were collected, and the urinary nickel levels and serum glucose metabolism indexes such as fasting blood glucose and fasting insulin were detected, and the insulin resistance index (HOMA-IR), β cell function index (HOMA-β), and adjusted HOMA-β were calculated by using homeostasis model assessment. A multivariate logistic regression model was used to analyze the association between urinary nickel level and diabetes risk. Multiple linear regression models were used to evaluate the association of urinary nickel level with HOMA-IR, HOMA-β and adjusted HOMA-β.Results:The sex ratio of controls and cases was 1∶1. The multivariate logistic regression model showed that after adjusting for factors such as education level, smoking status, alcohol consumption, rice and meat intakes, family history of diabetes, BMI, total cholesterol level, hypertension, and urinary creatinine, compared with T1 group, the ORs of diabetes risk in the T2 and T3 groups were 1.36 (95% CI: 0.98-1.89) and 1.60 (95% CI: 1.14-2.24), respectively. The multiple linear regression model showed a positive association between urinary nickel levels and the elevated HOMA-IR, the β value of HOMA-IR in the T3 group was 0.12 (95% CI: 0.01-0.25) compared with the T1 group and each one-unit increase in the log-transformed urinary nickel level (2.71 μg/L) was associated with a 0.06 elevation in HOMA-IR (95% CI: 0.02-0.10). Meanwhile, the urinary nickel levels were negative associated with the adjusted HOMA-β, the β value of adjusted HOMA-β in the T3 group were -0.26 compared with the T1 group (95% CI: -0.41- -0.11), and each one-unit increase in the log-transformed urinary nickel level (2.71 μg/L) was associated with a -0.09 decrease in adjusted HOMA-β(95% CI: -0.14- -0.04). Conclusion:Higher urinary nickel level is positively correlated with elevated insulin resistance and diabetes risk while negatively correlated with the function of pancreatic islet β cells in adults in China.