Type 1 diabetes is the main type of diabetes mellitus among children and adolescents and the incidence has steadily increased worldwide in the past 20 years,so more and more people pay attention to the pediatric type 1 diabetes.This article reviews the worldwide research progresses of epidemiology,treatment and management of type 1 diabetes.By comparing the research progresses home and abroad,we can know the gaps home and abroad better,so as to indicate potential paths for future research in China.

Objective To investigate the relationship of pancreatic β-cell function and insulin resistance with microalbuminuria in a cross -sectional study of patients with type 2 diabetes.Methods A total of 524 partici-pants with type 2 diabetes were recruited in this cross -sectional study.All subjects'height,weight,waist circumfer-ence and blood pressure were measured.Venous blood samples were drawn to measure fasting plasma glucose (FPG), fasting lipids,glycated hemoglobin A1c (HbA1c),fasting C -peptide (FPC).24h -urine was collected to measure urinary albumin excretion rate (UAER).Homeostasis model assessment of pancreatic β-cell function (HOMA -B) and insulin resistance (HOMA -IR)were estimated using fasting plasma C -peptide.According to HOMA -B quar-tile,the subjects were divided into four groups,including q1 -q4.According to HOMA -IR,the subjects were also divided into four groups,including Q1 -Q4.We assessed the crude associations across quartiles of these data with demographic and clinical parameters using a nonparametric test for trend across ordered groups (trend using Stata software).Multivariable logistic regression analysis was performed to assess the relationships of pancreatic β-cell function and insulin resistance with microalbuminuria in patients with type 2 diabetes.Results Trend test showed that UAER gradually reduced with increase of HOMA -B.The UAER values in subjects with q1,q2,q3 and q4 were 8.92(5.53 -28.65),8.55(5.52 -20.95),7.57(4.79 -19.83)and 7.84(5.23 -14.38)μg/min,respectively, and the trend was statistically significant(z =-2.1,P <0.05 ).With HOMA -IR increasing,UAER gradually increased.The UAER values in subjects with Q1,Q2,Q3 and Q4 were 6.73(4.85 -16.52),8.61 (5.2 -20.37), 8.31(4.88 -27.04),8.75(6.03 -25.21)μg/min,respectively,and the trend was also statistically significant(z =2.41,P <0.05).Multivariable logistic regression analysis showed that subjects with the highest quartile of HOMA -B had lower possibility of microalbuminuria than patients with the lowest quartile of HOMA -B (adjusted OR q4 vs. q1 =0.39,95% CI:0.20 -0.76,Wald =7.59,P =0.006).Subjects with the highest quartile of HOMA -IR had higher risk of microalbuminuria than those with the lowest quartile of HOMA -IR (adjusted OR Q4 vs.Q1 =2.00, 95% CI:1.08 -3.72,Wald =4.84,P =0.028).Conclusion Insulin resistance is associated with an increased prevalence of microalbuminuria in type 2 diabetes,while improved pancreatic β-cell function is linked to decreased rates of microalbuminuria for those patients.

To evaluate the correlation of the serum uric acid and free fatty acid (FFA) levels in Shandong coastal residents. To investigate the correlation between serum uric acid and FFA based on 3860 individuals who have been long staying in Qingdao, Yantai, Weihai, Rizhao with a randomized, stratified cluster sampling method. According to FFA quartile, subjects were divided into four groups: group Q1 of 908, group Q21016, group Q3958, and group Q4978 cases. The prevalence of hyperuricemia and serum uric acid levels increased with the increasing FFA quartile. Compared with Q1, Q2, and Q3 groups, the prevalence of hyperuricemia in Q4 group and the increase of serum uric acid were statistically significant(P<0. 05). And in the group Q4, hyperuricemia prevalence is twice as the group A. According to the serum uric acid level, subjects were divided into the normal uric acid group(n=3331) and the hyperuricemia group ( n = 529). In the hyperuricemia group, their systolic blood pressure, diastolic blood pressure, waist circumference, hip circumference, triglycerides, total cholesterol, low density lipoprotein-cholesterol (LDL-C), glucose, uric acid, FFA, body mass index etc. were significantly higher than those of the normal uric acid group (all P<0. 01), while the high density lipoprotein-cholesterol ( HDL-C), cystatin, glomerular filtration rate (eGFR) are significantly lower than those of the normal uric acid group( all P<0. 01). Serum uric acid levels are positively correlated with systolic and diastolic blood pressures, waist and hip circumferences, triglycerides, total cholesterol, LDL-C, FFA, blood glucose, body mass index (all P<0. 01); and negatively correlated with eGFR (P<0. 01). Multiple regression analysis showed that systolic blood pressure, FFA, total cholesterol, triglycerides, LDL-C, blood glucose, body mass index, eGFR were factors influencing serum uric acid independently. Multivariate binary logistic regression analysis showed that systolic blood pressure, waist circumference, total cholesterol, blood glucose, and FFA are independent risk factors to predict hyperuricemia onset while eGFR is a protective factor. Serum uric acid level is closely related to the free fatty acid, and FFA seems to be involved in the development and progression of hyperuricemia.