Objective To explore the related risk factors for diabetic nephropathy(DN) and discuss the value of diabetic dermopathy (DD) screening for DN.Methods A total of 188 patients with type 2 diabetes mellitus (T2DM) were studied,which included 78 patients with DN (DN group) and 110 cases without DN (non-DN group).The sex,age,duration of diabetes mellitus,smoking,DD,body mass index (BMI),systolic blood pressure (SBP),diastolic blood pressure (DBP),fasting blood glucose (FBG),2hours postpradial glucose(2 h PG),triglyceride (TG),total cholesterol (TC),glycosylated hemoglobin A1c (HbA1c),fasting C-peptide(FC-P) were recorded.Multiple factor Logistic regression was applied in patients with DN and non-DN.Results The incidence of DD and DN in T2DM patients was 47.34％(89/188) and 41.49％ (78/188) respectively.The ratio of DD in DN group was 79.49％(62/78),in non-DN group was 24.55％ (27/110),and the difference was significant (P ＜ 0.05).The age,duration of diabetes mellitus,SBP,FBG,2 h PG,HbA1c in DN group was higher than that in non-DN group [(52.83 ± 6.43) years old vs.(50.35 ±6.48) years old,(10.51 ±4.36) years vs.(6.48 ±3.25) years,(137.42 ± 14.17) mmHg(1mmHg =0.133 kPa) vs.(132.57 ± 15.38) mmHg,(11.95 ±2.83) mmol/L vs.(10.28 ± 1.98) mmol/L,(15.07 ± 3.16) mmol/L vs.(13.51 ± 2.75) mmol/L,(9.62±2.17)％ vs.(8.63 ± 2.08) ％],FC-P was lower than that in non-DN group [(1.76 ± 0.89) μ g/L vs.(2.01 ± 0.72) μ g/L],and the difference was significant (P ＜ 0.05).Multiple factor Logistic regression analysis showed that duration of diabetes mellitus,DD and FPG were still related to DN in T2DM (OR =4.841,3.209,3.368,P ＜0.01).Conclusions DD is correlated with DN in T2DM.DN should be screened in T2DM patients with DD.

[Summary] A total of 165 type 2 diabetic patients were divided into two groups with pigmented pretibial pathes(PPP group) and no PPP( NPPP group). 50 subjects with normal glucose regulation were used as a control group(NGR group). The records of sex, age, diabetes duration, body mass index( BMI), systolic blood pressure (SBP), diastolic blood pressure, high density lipoprotein-cholesterol, low density lipoprotein-cholesterol, fasting blood glucose(FBG), 2 h postpradial plasma glucose(2hPG), triglyceride(TG), total cholesterol, HbA1C , retinol binding protein 4(RBP4), cystatin C(Cys C)were analyzed. The results showed that BMI,FBG, 2hPG, TG, and Cys C levels in NPPP group were higher than those in NGR group(all P<0. 01). The levels of BMI, SBP, FBG, 2hPG, TG, Cys C, and RBP4 in PPP group were higher than those in NGR group(P<0. 01 or P<0. 05), while diabetes duration, FBG, 2hPG, HbA1C , Cys C, and RBP4 in PPP group were higher than those in NPPP group ( P <0. 01). Pearson correlation analysis revealed that serum RBP4 and Cys C were in linear positive correlation(r=0. 77, P< 0. 01). The areas under receiver operating characteristic curve of RBP4 and Cys C were 0. 81 and 0. 78, respectively(P<0. 01). The results of binary logistic regression analysis showed that diabetes duration, HbA1C , RBP4 were related to PPP(r=0. 37, 0. 26, 0. 22, P<0. 05 or P<0. 01).

Objective To explore the application of body mass index(BMI)and the increased value of postpradial 2h C peptide [2hCP minus fasting C-peptide(FCP), ΔCP]as indexes to adjust the antidiabetic plan after intensive blood glucose control in poorly controlled patients with type 2 diabetes mellitus(T2DM).Methods The insulin intensive therapy with injections of insulin four times a day was applied to 156 type 2 diabetic in-patients with poorly glycemic control.Islet function was evaluated after glucostasis in all patients.According to FCP≥1 ng/ml, addition of basal insulin to oral antidiabetic drugs was applied(as plan A, A group).The insulin intensive therapy was continued if FCP<1ng/ml(as plan B,B group).The treatment plan was adjusted from plan A to B when plasma glucose was poorly controlled after a week(as B group).The baseline data of sex, age, diabetes duration, BMI, fasting plasma glucose(FPG), 2 hours postpradial plasma glucose(2hPG), HbA1C, triglyceride(TG), total cholesterol, high density lipoprotein-cholesterol, low density lipoprotein-cholesterol, FCP, 2hCP, 2hCP/FCP, and ΔCP were analyzed.Insulin dose, the incidence of hypoglycemia, and the targeted rate of glucose control were compared between two groups before grouping and one month after treatment.Results The results showed that BMI, TG, FCP, 2hCP, 2hCP/FCP, and ΔCP in A group were higher than those in B group(P<0.01), while FPG, 2hPG and HbA1C were lower(P<0.01).There were no differences in insulin dose, the incidence of hypoglycemia, the targeted rate of FPG and 2hPG between two groups when grouping.After one-month treatment, insulin dose and the incidence of hypoglycemia in group A were lower than those in group B, while the targeted rates of FPG and 2hPG in group A were better than group B(P<0.05 or P<0.01).The results of binary logistic regression analysis showed that BMI and ΔCP were independent factors for choosing antidiabetic plan A(β=0.26, 0.90,P<0.01).The areas under receiver operator characteristic curve of BMI and ΔCP were 0.72 and 0.84, respectively(P<0.01), and their cut-off points to choose antidiabetic plan A were 23.14 kg/m2 and 1.32 ng/ml.Conclusions BMI and ΔCP can be used as the predictive indexes for choosing an antidiabetic plan for poorly controlled type 2 diabetic patients.

OBJECTIVETo evaluate the diversity of germplasm resources of Artemisia annua and provide the basis for improving utilization of germplasm resources, the agronomic traits of germplasm resources of A. annua were studied in Yun-Gui plateau.

METHODThe agronomic traits of 67 A. annua germplasm resources were measured by the visual observation and measurement methods. And the germplasm resources were clustered using flexible-beta method to analysis their genetic background.

RESULTThe result showed that 67 germplasm resources had a relatively wide variation on the 22 agronomic traits. Among 22 agronomic traits, the dry weight of branch had the greatest coefficient of variation, which was 53. 63, and the next were the dry weight of leaf, total plant weight, the length of pinnules and the length of leaflet, which were 42.74, 41.61, 39.54 and 39.22 respectively. The smallest coefficient of variation was the leaf corlor. Based the result of cluster analysis, these 67 germplasm resources were classed into 5 groups, and each group had its respective character. The first group showed early-maturing resources, dwarf stalk, slender rod, long bipinnata, high leaf-stem ratio and moderate leaf weight The third group showed late-maturing resources, tall and thick stalk, much-branch, bushy accessory pinna, high leaf weight and yield. The fifth group showed very late-maturing resources, strong lateral shoot, high leaf yield.

CONCLUSIONThere were significant genetic difference and diversity in the germplasm resources of A. annua. The result of cluster analysis showed that the resources of group 1, group 3 and group 5 were suitable as breeding material of A. annua.

Artemisia annua ; classification ; genetics ; growth & development ; Biodiversity ; Biomass ; China ; Cluster Analysis

OBJECTIVETo provide the basis for improving utilization of Artemisia annua germplasm resources and breeding variety, the interrelations between artemisinin content, artemisinin yield and agronomic traits of A. annua were studied.

METHODThe artemisinin content and each agronomic trait of 63 A. annua germplasm resources were measured by the visual observation and measurement methods. And the correlation analysis, regression analysis and path analysis were adopted.

RESULTThe result showed that there were significant differences in the artemisinin content and yield of 63 germplasm resources from the main production region of A. annua. Correlation analysis showed that there were significantly positive correlation between leaf weight and artemisinin yield with stem and branch characters, but there were negative correlation between artemisinin content with leaf characters of A. annua plant. The artemisinin content of A. annua increased with the increasing of primary branch number, bottom secondary branch number, and bottom stem diameter, etc. On the other hand, it decreased with the increasing of top secondary branch number, secondary leaf axis length, and bottom branch diameter, etc. The artemisinin yield of A. annua increased with the increasing of artemisinin content, leaf weight, and bottom secondary branch number, etc., and decreased with the increasing of bottom branch diameter, middle secondary branch number, and stem weight, etc. Path analysis showed that the primary branch number and bottom secondary branch number had a direct positive effect on the artemisinin content of A. annua. But the top secondary branch number had a direct negative effect on the artemisinin content of A. annua. The leaf weight and artemisinin content had a direct positive effect on the artemisinin yield and the ratio of leaf/stem, branch weight and stem weight had a direct negative effect.

CONCLUSIONOn the breeding A. annua variety, it can take into account both high leaf yield and high artemisinin content. And it was strongly recommend that the plant with moderate plant height and crown, shortness pinnae and secondary leaf axis, less middle and top secondary branch, strong stem, higher primary branch number and bottom secondary branch number, and higher ratio leaf/stem could be selected for breeding new varieties with high leaf yield and high artemisinin content.

Artemisia annua ; chemistry ; growth & development ; Artemisinins ; analysis ; Biomass ; Plant Extracts ; analysis ; Plant Leaves ; chemistry ; growth & development ; Plant Stems ; chemistry ; growth & development