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To explore the expression trend of ficolin 3 (FCN3) in type 2 diabetes (T2DM) plasma.Two-dimensional polyacrylamide gel electrophoresis (2DE) was used to separate the plasma proteins from T2DM patients and healthy control subjects. MALDI-TOF-TOF was used to identify the differential proteins. Western Blot and enzyme-linked immune response (ELISA) were used to verify the results from 2DE.The experiment on 2DE showed complement C1s subcomponent, complement C3, C9 and FCN3 were up-regulated in the plasma of T2DM patients. The Western Blot results showed that C9 and FCN3 increased in the plasma of T2DM patients with respect to T2DM-free subjects. The experiment results on ELISA showed that the plasma concentration of FCN3 were (50.88 ± 3.85 ) and (36.20 ± 2.75 ) μg/mL (P = 0.0062) in T2DM and T2DM-free, respectively. The plasma concentration of C9 were (26.22 ± 1.43) and (19.23 ± 1.55) μg/mL (P = 0.0022) in T2DM and T2DM-free. FCN3 and C9 were up-regulated in T2DM plasma.FCN3 over-expressed in the plasma of T2DM patients,which activated the complement system in greater degree.

Several studies have assessed the association between genetic polymorphisms of DRD2 and DRD4 genes and opioid dependence risk, while the results were inconsistent. We performed a meta-analysis, including 6,846 opioid dependence cases and 4,187 controls from 22 individual studies, to evaluate the roles of four variants (DRD2 -141ins/delC, rs1799732; DRD2 311 Ser > Cys, rs1801028; DRD2-related TaqI A, rs1800497 and DRD4 exon III VNTR) in opioid dependence for the first time. We found that the -141delC polymorphism was significantly associated with increased risk of opioid dependence (homozygote comparison: odds ratios [OR], 2.71; 95% confidence interval [CI], 1.74-4.22; dominant comparison: OR, 1.27; 95% CI, 1.09-1.48). Similarly, the TaqI A1 polymorphism was also significantly increased opioid dependence risk (homozygote comparison: OR, 2.06; 95% CI, 1.25-3.42; dominant comparison: OR, 1.34; 95% CI, 1.08-1.67). Moreover, long allele (≥5-repeat) and 7-repeat allele of DRD4 exon III VNTR were found to be associated with significantly increased opioid dependence risk (OR, 1.50; 95% CI, 1.24-1.80 and OR, 1.57; 95%, 1.18-2.09, respectively). However, no association was detected between the DRD2 311 Ser > Cys polymorphism and opioid dependence. In conclusion, our results suggested that DRD2 -141ins/delC, DRD2-related TaqI A and DRD4 exon III VNTR polymorphisms might play important roles in the development of opioid dependence.

To describe the status of snacks consumption among residents in Shenzhen.By a multiple stage probability proportionate to size sampling, 12 communities were randomly selected from 8 districts of Shenzhen based on population proportion. In the second stage, 30 households were randomly selected from each community. In each household, 2 years or older were invited to take dietary survey.There were 66.1% residents consuming snacks. More girls ate snacks than boys (chi2 = 11.552, P0.01) and more children and adolescents ate snacks than adults (chi2 = 27.207, P0.01). The average daily intake of energy, protein, fat, carbohydrate, fiber, vitamin A, vitamin C, vitamin E, calcium, sodium,magnesium, iron and zinc from snacks were 107.8 kcal (451.5 kJ), 1.7 g, 0.8 g, 22.0 g, 1.1 g, 23.1 microg, 8.3 mg, 1.1 mg,17.0 mg, 9.3 mg, 21.0 mg, 0.8 mg and 0.4 mg. Food categories the most frequently consumed as snacks were fruit, pastry, milk and products, beverages and grains.It's important to strengthen the diet education among residents in Shenzhen, especially the knowledge how to select snacks correctly and rationally.

To investigate the association between different iodine nutrition and the prevalence of dyslipidemia in a representative sample of subjects in Shenzhen.A total of 326 adults from 2 different communities in Shenzhen were included in the study. A questionnaire, physical examination and laboratory test were given to all subjects. 317 questionnaires and blood samples were effective.When the urine iodine concentration was less than 200 microg/L, there is a reverse relationship between iodine nutrition and prevalence of HDL-c (r(s) = - 0.164, P = 0.031). When the urine iodine concentration was higher than 300 microg/L, there is a positive relationship between iodine nutrition and prevalence of HDL-c (r(s) = 0.246, P = 0.013). There was no significant correlation between other lipid parameters and urinary iodine concentration. Multivariate Logistic regression analysis showed that high blood glucose and abdominal obesity were significantly related to the prevalence of dyslipidemia, urine iodine concentration was no significant correlation with the prevalence of dyslipidemia.The prevalence of dyslipidemia in Shenzhen is high, there may be a U shaped relationship between iodine nutrition and the prevalence of abnormal HDL-c level.

Background Several studies have assessed the association between genetic polymorphisms of tryptophan hydroxylase ( TPH1 ) and risk of mood disorders and alcohol dependence, with controversial results. Our aim was to assess the association of TPH1 A218C polymorphism (rs1800532) with mood disorders, including major depressive disorder and bipolar disorder, and alcohol dependence by using meta-analysis. Methods Data were collected from the related literatures published until November 25, 2010 from MEDLINE, EMBASE and ISI Web of Science databases, and meta-analysis stratified by ethnicity was performed in either fixed or random effect model as appropriate by using Stata Statistical Package (version 10.0). Results Twenty-seven individual studies were included in the current study, among which, there were 9 studies for bipolar disorder, with 1951 cases and 2161 controls, 14 studies for major depressive disorder, with 2340 cases and 3204 controls, and 4 studies for alcohol dependence, with 601 cases and 711 controls. We found that in Caucasian population, the TPH1 218AA genotype was significantly associated with increased bipolar disorder risk (recessive comparison: OR, 1.42; Bonferroni-adjusted P = 0.006; homozygote comparison: OR, 1.63; Bonferroni-adjusted P = 0.072), and elevated alcohol dependence risk (recessive comparison: OR, 1.83; Bonferroni-adjusted P = 0.012), while the association was not significant in Asian population. Moreover, the A218C polymorphism did not appear to have any effect on major depressive disorder risk either in Caucasians or in Asians. Conclusion The TPH1 A218C polymorphism is a potential biomarker for bipolar disorder and alcohol dependence risk in Caucasian population.