Objective:To investigate the relationship between the early pregnancy triglyceride-glucose (TyG) index and gestational diabetes mellitus (GDM) in twin pregnancies.Methods:This retrospective study involved twin-pregnant women who visited Beijing Obstetrics and Gynecology Hospital, Capital Medical University from October 2015 to February 2021. Based on the results of the 75 g oral glucose tolerance test (OGTT) performed at 24-28 weeks of gestation, the women were divided into the GDM and the control groups. The groups were further stratified based on maternal age (<35 years or ≥35 years), pre-pregnancy body mass index (BMI) (<24.0 or ≥24.0 kg/m2), and conception method [assisted reproductive technology (ART) or natural conception]. The correlation between early pregnancy TyG index and GDM, as well as the predictive value of the early pregnancy TyG index for the risk of GDM in twin pregnancies, were analyzed. The TyG index in early pregnancy was then divided into tertiles, and the risks of GDM in low, medium, and high TyG index groups were analyzed. Statistical analyses were performed using independent sample t-test, non-parametric test, Chi-square test, and binary logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of the early pregnancy TyG index for GDM in twin pregnancies. Results:(1) A total of 1 684 twin-pregnant women were included, with an average age of 32.3 years (29.8-34.9 years) and a pre-pregnancy BMI of 22.0 kg/m2 (20.0-24.3 kg/m2). Among them, 319 (18.9%) were multiparas, 982 (58.3%) conceived through ART, and 357 (21.2%) were monochorionic twins. Of the 1 684 women, 367 (21.8%) were diagnosed with GDM (GDM group), whereas the remaining 1 317 were classified as the control group. (2) Compared to the control group, the GDM group had older maternal age [(32.2±3.7) years vs. (33.3±3.8) years, t=－4.92], higher pre-pregnancy weight, and BMI [57.5 kg (52.0-65.0 kg) vs. 60.0 kg (55.0-67.3 kg), U=279 901.50; 21.8 kg/m2 (19.8-24.0 kg/m2) vs. 22.9 kg/m2 (20.9-25.5 kg/m2), U=288 435.00]. The proportions of a family history of diabetes, history of GDM and polycystic ovary syndrome (PCOS) were all higher in the GDM group compared to the control group [9.6% (127/1 317) vs. 19.1% (70/367), χ 2=24.71; 0.8% (2/1 317) vs. 10.8% (8/367), χ 2=20.00; 9.1% (120/1 317) vs. 15.3% (56/367), χ 2=11.59] (all P<0.001). The GDM group had higher early pregnancy fasting blood glucose, triglyceride, and TyG indices compared to the control group [4.51 mmol/L (4.28-4.75 mmol/L) vs. 4.68 mmol/L (4.42-4.97 mmol/L), U=7.14; 1.23 mmol/L (0.93-1.57 mmol/L) vs. 1.43 mmol/L (1.09-1.89 mmol/L), U=4.81; 8.39±0.41 vs. 8.59±0.43, t=6.46]. The incidence of gestational anemia and weight gain were lower in the GDM group compared to the control group [39.2% (516/1 317) vs. 33.0% (121/367), χ 2=4.71; 17.0 kg (13.7-20.5 kg) vs. 15.0 kg (12.0-18.3 kg), U=187 966.00] (all P<0.05). The proportion of male newborns in the GDM group was higher than in the control group [52.5% (1 384/2 634) vs. 46.7% (343/734), χ 2=7.77, P=0.005]. (3) Early pregnancy TyG index was associated with GDM in twin pregnancies ( OR=3.164, 95% CI: 2.371-4.220, P<0.001). After adjusting for maternal age, pre-pregnancy BMI, history of GDM, history of macrosomia, and family history of diabetes, the early pregnancy TyG index remained associated with GDM ( OR=2.560, 95% CI: 1.884-3.478, P<0.001). Analysis of the early pregnancy TyG index divided into tertiles (corresponding TyG indices of 8.25 and 8.59) revealed that, compared to those with a low TyG index, those with a mid TyG index had a 0.555-fold increased risk of GDM ( OR=1.555, 95% CI: 1.119-2.159, P=0.008), and those with a high TyG index had a 1.564-fold increased risk of GDM ( OR=2.564, 95% CI: 1.836-3.530, P<0.001). Stratified analysis by age, BMI, and mode of conception showed that the early pregnancy TyG index was associated with GDM in twin pregnancies (all P<0.001). (4) The threshold value for the early pregnancy TyG index to predict GDM in twin pregnancies was 8.33, with an area under the curve (AUC) of 0.632, 95% CI: 0.600-0.665, sensitivity of 0.744, and specificity of 0.436. The AUC in twin pregnancies for those who conceived via ART was 0.635 (95% CI: 0.593-0.676, P<0.001), slightly higher than in those who conceived naturally (AUC=0.628, 95% CI: 0.576-0.681, P<0.001). After adjusting for maternal age, pre-pregnancy BMI, history of GDM, and family history of diabetes, the AUC for the early pregnancy TyG index to predict GDM in twin pregnancies was 0.675 (95% CI: 0.644-0.707). For those who conceived via ART, the AUC (95% CI) was 0.675 (0.634-0.717), slightly lower than for those who conceived naturally [0.682 (0.632-0.733)] (all P<0.001). Conclusion:A high TyG index in the first trimester is a risk factor for GDM in twin pregnancies, but its predictive value for GDM in twin pregnancies needs further research to be confirmed.

Objective:To investigate the characteristics of weight gain in the mid and late pregnancy of women with early pregnancy weight loss, and the relationship between weight gain and weight gain rate before the diagnosis of gestational diabetes mellitus (GDM) and GDM.Methods:A retrospective study was conducted on 2 614 singleton pregnant women who underwent prenatal care and delivered at Beijing Obstetrics and Gynecology Hospital, Capital Medical University, from January 2014 to December 2021, and whose weight decreased compared to pre-pregnancy weight by 16 weeks of gestation. The rate of weight gain in mid and late pregnancy, also weight gain and weight gain rate at each stage were analyzed. Multivariate logistic regression was used to analyze the impact of total weight gain and weight gain rate at each stage before the diagnosis of GDM on the risk of GDM.Results:The rates of weight gain in mid and late pregnancy for women with early pregnancy weight loss who were underweight, normal weight, overweight, and obese before pregnancy were (0.60±0.15), (0.59±0.18), (0.53±0.20), and (0.42±0.20) kg/week, respectively, all higher than the "Chinese Recommended Standards for Weight Gain During Pregnancy" [which are (0.37-0.56), (0.26-0.48), (0.22-0.37), and (0.15-0.30) kg/week, respectively]. The weight gain rates at each stage of mid and late pregnancy in women with early pregnancy weight loss showed a "bimodal" trend, with the first peak in weight gain rate occurring at 16-20 or 20-24 weeks of gestation [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.75 kg/week (0.44-1.00 kg/week), 0.74 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.39-0.86 kg/week), and 0.50 kg/week (0.25-0.74 kg/week), respectively] and the second peak occurring at 28-32 weeks [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.63 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.38- 0.88 kg/week), 0.60 kg/week (0.25-0.88 kg/week), and 0.50 kg/week (0.22-0.75 kg/week). As of 28 weeks and 36 weeks of gestation, 53.7% (1 404/2 614) and 77.4% (1 946/2 512) of pregnant women, respectively, reached the lower limit of the recommended weight gain for the corresponding gestational weeks. No association was found between insufficient weight gain ( aOR=0.828, 95% CI: 0.639-1.071, P=0.151) or excessive weight gain ( aOR=0.936, 95% CI: 0.598-1.465, P=0.773) before the diagnosis of GDM and the risk of GDM. However, obese women with a weight loss greater than 5% of their pre-pregnancy weight in early pregnancy and a rapid weight gain rate (> P 75) between 16-20 weeks of gestation had an increased risk of developing GDM ( aOR=32.870, 95% CI: 1.625-664.775, P=0.023). Conclusions:In clinical practice, dynamic monitoring of weight changes at various stages of pregnancy in women who lose weight in early pregnancy is recommended. Targeted weight management during mid-pregnancy for women who are obese before pregnancy and experience significant weight loss in early pregnancy may help prevent excessive gestational weight gain and decrease the risk of GDM.

Objective:To investigate the relationship between the early pregnancy triglyceride-glucose (TyG) index and gestational diabetes mellitus (GDM) in twin pregnancies.Methods:This retrospective study involved twin-pregnant women who visited Beijing Obstetrics and Gynecology Hospital, Capital Medical University from October 2015 to February 2021. Based on the results of the 75 g oral glucose tolerance test (OGTT) performed at 24-28 weeks of gestation, the women were divided into the GDM and the control groups. The groups were further stratified based on maternal age (<35 years or ≥35 years), pre-pregnancy body mass index (BMI) (<24.0 or ≥24.0 kg/m2), and conception method [assisted reproductive technology (ART) or natural conception]. The correlation between early pregnancy TyG index and GDM, as well as the predictive value of the early pregnancy TyG index for the risk of GDM in twin pregnancies, were analyzed. The TyG index in early pregnancy was then divided into tertiles, and the risks of GDM in low, medium, and high TyG index groups were analyzed. Statistical analyses were performed using independent sample t-test, non-parametric test, Chi-square test, and binary logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of the early pregnancy TyG index for GDM in twin pregnancies. Results:(1) A total of 1 684 twin-pregnant women were included, with an average age of 32.3 years (29.8-34.9 years) and a pre-pregnancy BMI of 22.0 kg/m2 (20.0-24.3 kg/m2). Among them, 319 (18.9%) were multiparas, 982 (58.3%) conceived through ART, and 357 (21.2%) were monochorionic twins. Of the 1 684 women, 367 (21.8%) were diagnosed with GDM (GDM group), whereas the remaining 1 317 were classified as the control group. (2) Compared to the control group, the GDM group had older maternal age [(32.2±3.7) years vs. (33.3±3.8) years, t=－4.92], higher pre-pregnancy weight, and BMI [57.5 kg (52.0-65.0 kg) vs. 60.0 kg (55.0-67.3 kg), U=279 901.50; 21.8 kg/m2 (19.8-24.0 kg/m2) vs. 22.9 kg/m2 (20.9-25.5 kg/m2), U=288 435.00]. The proportions of a family history of diabetes, history of GDM and polycystic ovary syndrome (PCOS) were all higher in the GDM group compared to the control group [9.6% (127/1 317) vs. 19.1% (70/367), χ 2=24.71; 0.8% (2/1 317) vs. 10.8% (8/367), χ 2=20.00; 9.1% (120/1 317) vs. 15.3% (56/367), χ 2=11.59] (all P<0.001). The GDM group had higher early pregnancy fasting blood glucose, triglyceride, and TyG indices compared to the control group [4.51 mmol/L (4.28-4.75 mmol/L) vs. 4.68 mmol/L (4.42-4.97 mmol/L), U=7.14; 1.23 mmol/L (0.93-1.57 mmol/L) vs. 1.43 mmol/L (1.09-1.89 mmol/L), U=4.81; 8.39±0.41 vs. 8.59±0.43, t=6.46]. The incidence of gestational anemia and weight gain were lower in the GDM group compared to the control group [39.2% (516/1 317) vs. 33.0% (121/367), χ 2=4.71; 17.0 kg (13.7-20.5 kg) vs. 15.0 kg (12.0-18.3 kg), U=187 966.00] (all P<0.05). The proportion of male newborns in the GDM group was higher than in the control group [52.5% (1 384/2 634) vs. 46.7% (343/734), χ 2=7.77, P=0.005]. (3) Early pregnancy TyG index was associated with GDM in twin pregnancies ( OR=3.164, 95% CI: 2.371-4.220, P<0.001). After adjusting for maternal age, pre-pregnancy BMI, history of GDM, history of macrosomia, and family history of diabetes, the early pregnancy TyG index remained associated with GDM ( OR=2.560, 95% CI: 1.884-3.478, P<0.001). Analysis of the early pregnancy TyG index divided into tertiles (corresponding TyG indices of 8.25 and 8.59) revealed that, compared to those with a low TyG index, those with a mid TyG index had a 0.555-fold increased risk of GDM ( OR=1.555, 95% CI: 1.119-2.159, P=0.008), and those with a high TyG index had a 1.564-fold increased risk of GDM ( OR=2.564, 95% CI: 1.836-3.530, P<0.001). Stratified analysis by age, BMI, and mode of conception showed that the early pregnancy TyG index was associated with GDM in twin pregnancies (all P<0.001). (4) The threshold value for the early pregnancy TyG index to predict GDM in twin pregnancies was 8.33, with an area under the curve (AUC) of 0.632, 95% CI: 0.600-0.665, sensitivity of 0.744, and specificity of 0.436. The AUC in twin pregnancies for those who conceived via ART was 0.635 (95% CI: 0.593-0.676, P<0.001), slightly higher than in those who conceived naturally (AUC=0.628, 95% CI: 0.576-0.681, P<0.001). After adjusting for maternal age, pre-pregnancy BMI, history of GDM, and family history of diabetes, the AUC for the early pregnancy TyG index to predict GDM in twin pregnancies was 0.675 (95% CI: 0.644-0.707). For those who conceived via ART, the AUC (95% CI) was 0.675 (0.634-0.717), slightly lower than for those who conceived naturally [0.682 (0.632-0.733)] (all P<0.001). Conclusion:A high TyG index in the first trimester is a risk factor for GDM in twin pregnancies, but its predictive value for GDM in twin pregnancies needs further research to be confirmed.

Objective:To investigate the characteristics of weight gain in the mid and late pregnancy of women with early pregnancy weight loss, and the relationship between weight gain and weight gain rate before the diagnosis of gestational diabetes mellitus (GDM) and GDM.Methods:A retrospective study was conducted on 2 614 singleton pregnant women who underwent prenatal care and delivered at Beijing Obstetrics and Gynecology Hospital, Capital Medical University, from January 2014 to December 2021, and whose weight decreased compared to pre-pregnancy weight by 16 weeks of gestation. The rate of weight gain in mid and late pregnancy, also weight gain and weight gain rate at each stage were analyzed. Multivariate logistic regression was used to analyze the impact of total weight gain and weight gain rate at each stage before the diagnosis of GDM on the risk of GDM.Results:The rates of weight gain in mid and late pregnancy for women with early pregnancy weight loss who were underweight, normal weight, overweight, and obese before pregnancy were (0.60±0.15), (0.59±0.18), (0.53±0.20), and (0.42±0.20) kg/week, respectively, all higher than the "Chinese Recommended Standards for Weight Gain During Pregnancy" [which are (0.37-0.56), (0.26-0.48), (0.22-0.37), and (0.15-0.30) kg/week, respectively]. The weight gain rates at each stage of mid and late pregnancy in women with early pregnancy weight loss showed a "bimodal" trend, with the first peak in weight gain rate occurring at 16-20 or 20-24 weeks of gestation [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.75 kg/week (0.44-1.00 kg/week), 0.74 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.39-0.86 kg/week), and 0.50 kg/week (0.25-0.74 kg/week), respectively] and the second peak occurring at 28-32 weeks [weight gain rates for underweight, normal weight, overweight, and obese women before pregnancy were 0.63 kg/week (0.50-1.00 kg/week), 0.63 kg/week (0.38- 0.88 kg/week), 0.60 kg/week (0.25-0.88 kg/week), and 0.50 kg/week (0.22-0.75 kg/week). As of 28 weeks and 36 weeks of gestation, 53.7% (1 404/2 614) and 77.4% (1 946/2 512) of pregnant women, respectively, reached the lower limit of the recommended weight gain for the corresponding gestational weeks. No association was found between insufficient weight gain ( aOR=0.828, 95% CI: 0.639-1.071, P=0.151) or excessive weight gain ( aOR=0.936, 95% CI: 0.598-1.465, P=0.773) before the diagnosis of GDM and the risk of GDM. However, obese women with a weight loss greater than 5% of their pre-pregnancy weight in early pregnancy and a rapid weight gain rate (> P 75) between 16-20 weeks of gestation had an increased risk of developing GDM ( aOR=32.870, 95% CI: 1.625-664.775, P=0.023). Conclusions:In clinical practice, dynamic monitoring of weight changes at various stages of pregnancy in women who lose weight in early pregnancy is recommended. Targeted weight management during mid-pregnancy for women who are obese before pregnancy and experience significant weight loss in early pregnancy may help prevent excessive gestational weight gain and decrease the risk of GDM.

The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) signaling exert essential regulatory function in microbial-and onco-immunology through the induction of cytokines, primarily type I interferons. Recently, the aberrant and deranged signaling of the cGAS-STING axis is closely implicated in multiple sterile inflammatory diseases, including heart failure, myocardial infarction, cardiac hypertrophy, nonalcoholic fatty liver diseases, aortic aneurysm and dissection, obesity, etc. This is because of the massive loads of damage-associated molecular patterns (mitochondrial DNA, DNA in extracellular vesicles) liberated from recurrent injury to metabolic cellular organelles and tissues, which are sensed by the pathway. Also, the cGAS-STING pathway crosstalk with essential intracellular homeostasis processes like apoptosis, autophagy, and regulate cellular metabolism. Targeting derailed STING signaling has become necessary for chronic inflammatory diseases. Meanwhile, excessive type I interferons signaling impact on cardiovascular and metabolic health remain entirely elusive. In this review, we summarize the intimate connection between the cGAS-STING pathway and cardiovascular and metabolic disorders. We also discuss some potential small molecule inhibitors for the pathway. This review provides insight to stimulate interest in and support future research into understanding this signaling axis in cardiovascular and metabolic tissues and diseases.

Objective:To investigate the effects of ectodysplasin-A1 (EDA1) on the proliferation and cell cycle of ameloblast-like epithelial cells (LS8 cells).Methods:Wild EDA1 plasmid pCR3-Flag-EDA1-W (wild group), syndrome mutant EDA1 plasmid pCR3-Flag-EDA1-H252L (mutant group) and empty vector plasmid pCR3-Flag (control group) were transfected into LS8 cells. Cell proliferation was detected by methyl thiazolyl tetrazolium (MTT) assay and cell cycle was detected by flow cytometry. All tests were repeated three times.Results:Compared with the control group (0.105±0.032), the proliferation activity of the wild group (0.201±0.009) was significantly higher after 72 h ( P<0.05). Compared with the control group (0.168±0.054) and the mutant group (0.194±0.059), the proliferation activity of the wild group (0.386±0.066) was significantly higher after 96 h ( P<0.05). There was no significant difference between the mutant group and the control group at all time points ( P>0.05). In the G 0/G 1 phase, compared with the control group (65.4%±2.1%) and the mutant group (66.6%±3.1%), the cell distribution ratio of the wild group (51.2%±1.1%) was significantly lower ( P<0.01). In the S phase, compared with the control group (23.1%±2.0%) and the mutant group (21.9%±1.8%), the cell distribution ratio of the wild type group (37.3%±2.4%) was significantly higher ( P<0.01). There was no significant difference in cell cycle distribution between the mutant group and the control group ( P<0.05). Conclusions:Wild EDA1 promotes the proliferation of LS8 cells and the transformation from G 0/G 1 to S phase. The syndrome mutant EDA1 (EDA1-H252L) loses its function of regulating the cell proliferation and cell cycle of LS8 cells.

Objective To analyze the urine trace albumin(mALb)/creatinine(Cr) ratio and blood uric acid(UA),and other various metabolic index level in patients with diabetic nephropathy(DN),combined with clinical data such as patients' age,body mass index(BMI),course of diseases,to explore the related mechanism of occurrence and development of DN.Methods 76 DN patients were selected.The microalbuminuria group(urinary mALb/Cr<300μg/mg) had 46 cases,the clinical albuminuria group(urinary mALb/Cr≥300μg/mg) included 30 cases,another 49 diabetic patients without kidney damage were seleted as control group.The urinary mALb/Cr,blood UA,fasting blood glucose(FBG),triacylglycerol(TG),total cholesterol(TC),high-density lipoprotein(HDL),low density lipoprotein(LDL),glycosylated hemoglobin(HbA1c) levels were determined.The BMI and the length of the course of the disease calculate.Results The patients' age,course of the disease,urinary mALb/Cr,blood UA,FBG,TC,TG,LDL,HbA1c and BMI level in the clinical albuminuria group and microalbuminuria group were significantly higher than those in the control group,the differences were statistically significant (F=6.18,12.48,141.43,12.48,8.49,4.98,6.18,3.89,3.17,3.89,all P<0.05).The high uric acid hematic disease rates of the clinical albuminuria group and microalbuminuria group were 26.09% and 26.09%,which were significantly higher than 10.20% of the control group,the differences were statistically significant(x2=4.074,24.833,all P<0.05).Urinary mALb/Cr was positively correlated with age,duration,BMI,UA,TG,TC,LDL,FBG,HbA1c(r=0.120,0.299,0.148,0.340,0.157,0.149,0.103,0.487,0.103).Multiple linear stepwise regression analysis suggested that duration,blood UA,FBG were independent risk factors of urinary mALb/Cr;TG,BMI,urinary mALb/Cr were independent risk factors for blood UA.Conclusion Urinary mALb/Cr and blood UA are the independent risk factors,high uric acid hematic disease may participate in the development process of DN,and diabetes duration,UA,BMI,TG,TC,LDL,FBG,HbA1C associated with increased urinary mALb/Cr excretory DN patients,the effective monitoring can improve the symptoms of DN and quality of life.

Objective To explore the relationship between insluin resistance(IR)and plasma fibrinogen, blood lipids levels in patients with gestational diabetes mellitus (GMD).Methods Totally 127cases pregnant women in their 24 -28 gestational weeks were divided into GDM group(n =37),gestational impaired glucose tolerance test (GIGT)group(n =30)and normal glucose tolerance(NGT)group(n =60)based on the American Diabetes Associ-ation(ADA)2009 GDMdiagnostic standards.All selected cases's height,weight,fasting blood glucose (FBG),fasting insulin (FIN),blood lipids and fibrinogen(FIB)level were tested,and their body mass index(BMI)and IR index (HOMA -IR)were calculated.Results During the mid -trimester,the levels of BMI,FIB,HOMA -IR,FBG,FIN, triglyceride (TG),cholesterol(TC),low density lipoprotein -cholesterol (LDL -C)in the GDM group were signifi-cantly higher than the GIGT and NGT groups.However,high density lipoprotein -cholesterol (HDL -C)was signifi-cantly lower (F =69.29,98.15,70.32、141.43、61.92,106.06,157.06,90.59,25.25,all P <0.01).FIB was sig-nificantly positively correlated with BMI,FBG,FIN,HOMA -IR,TC,TG,LDL - C (r =0.441,0.682,0.506, 0.599,0.493,0.591,0.633,all P <0.01 ),and negatively correlated with HDL -C(r =-0.419,P <0.01 ).Multiple stepwise regression analysis indicated that BMI,LDL -C,FBG and TG were independent risk factors affect-ing FIB(t =7.683,2.678,3.184,3.844,all P <0.01);FIB,BMI,FBG,FIN and TC were independent risk factors influencing HOMA -IR(t =68.784,3.201,29.702,58.100,2.904,all P <0.01).Conclusion Pregnant women have IR and blood lipid disorders during the mid -trimester,the overexpression of FIB is closely related to it.

Objective To explore the relationship of serum ferritin with insluin resistance(IR)and inci-dence of fatty liver in adults with simple obesity.Methods According to body mass index (BMI),78 adults with simple obesity were divided into three groups,including 34 cases in Ⅰ degree obesity group,30 cases in Ⅱ degree obesity group and 14 cases in Ⅲ degree obesity group,and 35 adults with simple overweight and 67 healthy adults were also enrolled as control group.The height,weight,waistline,hip circumference,incidence of fatty liver,fasting blood glucose (FBG),fasting insulin (FIN),blood lipids and ferritin(SF)level were tested,and the body mass index (BMI),WHR and IR index (HOMA -IR)were calculated.Results When BMI increased,levels of SF,HOMA -IR, FBG,FIN,triglyceride (TG),cholesterol (TC),low density lipoprotein -cholesterol (LDL -C)were gradually increased(F =378.92,12.01,55.50,123.96,90.09,127.65,23.81,all P <0.01).However,high density lipopro-tein -cholesterol (HDL -C)was gradually degraded(F =114.56,P <0.01).The incidence of fatty liver had signifi-cant differences in Ⅰ,Ⅱ,Ⅲ degree obesity groups((t =24.872,7.885,all P <0.01),and with the degree of obesity increased,the rate of fatty liver increased significantly.SF range interquartile and level in fatty liver group was signifi-cantly greater than the non fatty liver group,the difference was statistically significant (t =22.99,P <0.01).SF was positively correlated with BMI,WRH,FBG,FIN,HOMA -IR,TC,TG,LDL -C (r =0.863,0.719,0.789,0.703, 0.617,0.785,0.717,0.771,all P <0.01),and negatively correlated with HDL -C(r =-0.530,P <0.01).Multi-ple stepwise regression analysis indicated that BMI,FIN,LDL -C,HOMA -IR were independent risk factors affecting SF(t =4.646,2.595,-5.073,6.666,all P <0.01).SF,BMI,FBG,FIN,LDL -C were independent risk factors influencing HOMA -IR(t =6.535,3.254,18.827,61.227,2.154,all P <0.05).Conclusion Simple obesity adults had obvious blood lipid disorders and IR,easy to complicated with fatty liver,the incidence of fatty liver associ-ated with severity of obesity,the overexpression of SF is closely related to it.

To investigate the transgenic expressing efficacy of helper-dependent adenoviral vector (HDAd) in vitro, we constructed a HDAd encoding enhanced green fluorescent protein (EGFP), denominated as HDAd/EGFP, performed large scale preparation and purification, and then identified the purified HDAd/EGFP under fluorescent microscope and electron microscope. After the concentration of HDAd/EGFP was determined by spectrophotometer, the transgenic expression efficiency of HDAd/EGFP was compared with first generation adenoviral vector encoding EGFP (FGAd/EGFP) in vitro. Therefore, we infected A549 cells with 2000 virus particles (vp) per cell by HDAd/EGFP and FGAd/EGFP respectively and analyzed EGFP expressing level by flow cytometry. Consequently, the fluorescent expression rate and fluorescent intensity of EGFP were higher in early infected A549 cells by HDAd/EGFP than by FGAd/EGFP. HDAd, capable of expressing transgene instantly and efficiently in vitro, is a potential vaccine vector.
Adenoviridae ; genetics ; metabolism ; Cell Line, Tumor ; Genetic Vectors ; genetics ; Green Fluorescent Proteins ; genetics ; Helper Viruses ; genetics ; metabolism ; Humans ; Transgenes ; Viral Fusion Proteins ; genetics ; metabolism