Serum IL-17A concentration and a IL17RA single nucleotide polymorphism contribute to the risk of autoimmune type 1 diabetes.

AIMS: Interleukin (IL)-17 is associated with autoimmunity. This study aimed to affirm the role of IL-17A, IL-17F and single nucleotide polymorphisms (SNPs) in genes related to them and their receptors in autoimmune type 1 diabetes (T1D) for Chinese population. METHODS: In this study, 130 patients with autoimmune T1D and 140 non-T1D controls were included for analysis. Clinical and biochemical data were collected, and serum levels of IL-17A, IL-17F, IL-6, and high-sensitivity C reactive protein were measured using ELISA. The SNPs rs2275913, rs8193036, rs3819025, rs763780, rs879577, rs4819554, and rs708567 were genotyped using the SNaPshot assay. RESULTS: IL-17A levels were higher in patients with autoimmune T1D than in controls (median [IQR] 28.83[37.38] vs. 16.68[8.10], p < 0.001) and high IL-17A was a risk factor for autoimmune T1D (odds ratio (OR), 1.013; 95% CI, 1.003-1.023; p = 0.013) after adjusting for confounding factors. Linear regression analysis revealed that log10 IL-17A levels were independently associated with fasting C-peptide, IL-6, body mass index, and IL-17F. However, no independent association was found between IL-17F and autoimmune T1D. The GG genotype of SNP rs4819554 in the interleukin 17 receptor A (IL17RA) gene was associated with a decreased risk of autoimmune T1D (OR, 0.458; 95% CI, 0.246-0.852; p = 0.014) after adjusting for other confounders. The IL17RA rs4819554 GG genotype was negatively correlated with serum glutamic acid decarboxylase antibody appearance (p < 0.05). CONCLUSIONS: Increased serum IL-17A, but not IL-17F, is a risk factor for autoimmune T1D. The GG genotype of IL17RA rs4819554 might decrease the risk for autoimmune T1D.

A total weight loss of 25% shows better predictivity in evaluating the efficiency of bariatric surgery.

OBJECTIVES: The need for a unified definition of weight loss (WL) after bariatric surgery has recently been highlighted. We aimed to evaluate the reliability of two clinically common WL indications including percentage of total WL (%TWL) and percentage of excess WL (%EWL) through comparing their performances in predicting metabolic syndrome (MetS) remission 1 year after bariatric surgery. METHODS: A total of 430 individuals with obesity who underwent bariatric surgery were enrolled. Participants were evaluated for changes in anthropometric parameters, metabolic indexes, MetS components and medications before and 1 year after surgery. MetS was defined using the criteria of the National Cholesterol Education Program Adult Treatment Panel III criteria for Asian-Americans. RESULTS: The prevalence of MetS is 92.3% (397) at baseline. One year after bariatric surgery, 337 individuals (84.9%) were in MetS remission. The multivariate adjusted ORs were 1.16 (95% confidence interval [CI] 1.10-1.22) for each 1% increase in %TWL for MetS remission and 1.18 (95% CI 1.11-1.25) for each 5% increase in %EWL. This association with MetS remission remained statistically significant for %TWL after additional adjustment for %EWL (P for trend 0.029), and disappeared for %EWL. Receiver operating curve (ROC) analyses showed that the %TWL was more predictive than the %EWL (AUC%TWL vs. AUC%EWL, 0.749 vs. 0.700, p = 0.023). The Youden index indicated that the optimal %TWL cutoff point to identify MetS remission was 25%. CONCLUSIONS: We recommend that good responders to bariatric surgery should be defined as those exhibiting %TWL ≥ 25%.

Development of Multimarker Diagnostic Models from Metabolomics Analysis for Gestational Diabetes Mellitus (GDM).

Although metabolomics are desirable to understand the pathophysiology of gestational diabetes mellitus (GDM), comprehensive metabolomic studies of GDM are rare. We aimed to offer a holistic view of metabolites alteration in GDM patients and investigate the possible multimarker models for GDM diagnosis. Biochemical parameters and perinatal data of 131 GDM cases and 138 controls were collected. Fasting serum samples at 75 g oral glucose tolerance test were used for metabolites by ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry, ultra performance liquid chromatography-triple triple-quadrupole-mass spectrometry and gas chromatography- time-of- flight mass spectrometry platforms. Significant changes were observed in free fatty acids, bile acids, branched chain amino acids, organic acids, lipids and organooxygen compounds between two groups. In receiver operating characteristic (ROC) analysis, different combinations of candidate biomarkers and metabolites in multimarker models achieved satisfactory discriminative abilities for GDM, with the values of area under the curve (AUC) ranging from 0.721 to 0.751. Model consisting of body mass index (BMI), retinol binding protein 4 (RBP4), n-acetylaspartic acid and C16:1 (cis-7) manifested the best discrimination [AUC 0.751 (95% CI: 0.693-0.809), p < 0.001], followed by model consisting of BMI, Cystatin C, acetylaspartic acid and 6,7-diketoLCA [AUC 0.749 (95% CI: 0.691-0.808), p < 0.001]. Metabolites alteration reflected disorders of glucose metabolism, lipid metabolism, amino acid metabolism, bile acid metabolism as well as intestinal flora metabolism in GDM state. Multivariate models combining clinical markers and metabolites have the potential to differentiate GDM subjects from healthy controls.

[Secretory Role of Brown Adipose Tissue].

Brown adipose tissue(BAT)can convert chemical energy into thermal energy by uncoupling protein 1.It has high activity in substrate oxidation,and its activation can increase the whole energy consumption,lower the blood glucose and lipid levels,and promote the body homeostasis.Previous literature has attributed the metabolism role of BAT to its uncoupled respiratory and thermogenic functions,whereas recent studies have shown that BAT has secretory function,and the secretory factors exert local or systemic effects on energy metabolism.Therefore,a better understanding of the roles of BAT-derived factors in metabolism may help to optimize the treatment of metabolic diseases.

Effectiveness of Smartphone App-Based Interactive Management on Glycemic Control in Chinese Patients With Poorly Controlled Diabetes: Randomized Controlled Trial.

BACKGROUND: In recent years, the rapid development of mobile medical technology has provided multiple ways for the long-term management of chronic diseases, especially diabetes. As a new type of management model, smartphone apps are global, convenient, cheap, and interactive. Although apps were proved to be more effective at glycemic control, compared with traditional computer- and Web-based telemedicine technologies, how to gain a further and sustained improvement is still being explored. OBJECTIVE: The objective of this study was to investigate the effectiveness of an app-based interactive management model by a professional health care team on glycemic control in Chinese patients with poorly controlled diabetes. METHODS: This study was a 6-month long, single-center, prospective randomized controlled trial. A total of 276 type 1 or type 2 diabetes patients were enrolled and randomized to the control group (group A), app self-management group (group B), and app interactive management group (group C) in a 1:1:1 ratio. The primary outcome was the change in glycated hemoglobin (HbA1c) level. Missing data were handled by multiple imputation. RESULTS: At months 3 and 6, all 3 groups showed significant decreases in HbA1c levels (all P<.05). Patients in the app interactive management group had a significantly lower HbA1clevel than those in the app self-management group at 6 months (P=.04). The average HbA1c reduction in the app interactive management group was larger than that in the app self-management and control groups at both months 3 and 6 (all P<.05). However, no differences in HbA1c reduction were observed between the app self-management and control groups at both months 3 and 6 (both P>.05). Multivariate line regression analyses also showed that the app interactive management group was associated with the larger reduction of HbA1c compared with groups A and B at both months 3 and 6 (all P>.05). In addition, the app interactive management group had better control of triglyceride and high-density lipoprotein cholesterol levels at both months 3 and 6 compared with baseline (both P<.05). CONCLUSIONS: In Chinese patients with poorly controlled diabetes, it was difficult to achieve long-term effective glucose improvement by using app self-management alone, but combining it with interactive management can help achieve rapid and sustained glycemic control. TRIAL REGISTRATION: ClinicalTrials.gov NCT02589730; https://clinicaltrials.gov/ct2/show/NCT02589730.

Heterogeneity of insulin resistance and beta cell dysfunction in gestational diabetes mellitus: a prospective cohort study of perinatal outcomes.

BACKGROUND: Insulin resistance and beta cell dysfunction were reported to be responsible for gestational diabetes mellitus (GDM). However, little is known about the heterogeneity of these factors and its influences on perinatal outcomes. We investigated whether subtypes of insulin resistance and beta cell dysfunction in gestational diabetes mellitus have different impacts on perinatal outcomes. METHODS: In this prospective cohort study, we followed 554 pregnant women and glucose challenge test was performed at 24-28th weeks of their gestation. Women with plasma glucose ≥ 7.8 mmol/L would be included and advised to undergo the diagnostic 75-g, 3-h oral glucose tolerance test. According to indices of measuring insulin resistance or beta cell function were below the 25th percentile of women with normal glucose tolerance (NGT), women with GDM were defined as three subtypes: GDM with the beta cell dysfunction, GDM with the insulin resistance defect or GDM with both traits mentioned above (GDM-mixed). Perinatal outcomes were documented. RESULTS: The levels of prepregnancy and maternal BMI in the GDM-mix group were higher compared to women in the NGT group (23.2 ± 4.0 vs 20.8 ± 3.7 kg/m2, P < 0.001; 24.5 ± 4.3 vs 21.8 ± 3.4 kg/m2, P < 0.001, respectively). Furthermore, women in GDM-mix group more likely to be subjected to LGA (P = 0.008) adverse perinatal outcomes (P = 0.005), although these differences were normalized after adjusting age, prepregnancy and maternal BMI (GDM-mix vs. NGT: P = 0.141 for LGA and P = 0.186 for adverse outcomes). On the other hand, all perinatal outcomes were similar between other two GDM subgroups and NGT group. CONCLUSIONS: Women with GDM display respective characteristics on metabolism disorders and confer discriminating risks of adverse perinatal outcomes because of this heterogeneity.

Association between plasma triglycerides and high-density lipoprotein cholesterol and microvascular kidney disease and retinopathy in type 2 diabetes mellitus: a global case-control study in 13 countries.

BACKGROUND: Microvascular renal and retinal diseases are common major complications of type 2 diabetes mellitus. The relation between plasma lipids and microvascular disease is not well established. METHODS AND RESULTS: The case subjects were 2535 patients with type 2 diabetes mellitus with an average duration of 14 years, 1891 of whom had kidney disease and 1218 with retinopathy. The case subjects were matched for diabetes mellitus duration, age, sex, and low-density lipoprotein cholesterol to 3683 control subjects with type 2 diabetes mellitus who did not have kidney disease or retinopathy. The study was conducted in 24 sites in 13 countries. The primary analysis included kidney disease and retinopathy cases. Matched analysis was performed by use of site-specific conditional logistic regression in multivariable models that adjusted for hemoglobin A1c, hypertension, and statin treatment. Mean low-density lipoprotein cholesterol concentration was 2.3 mmol/L. The microvascular disease odds ratio increased by a factor of 1.16 (95% confidence interval, 1.11-1.22) for every 0.5 mmol/L (≈1 quintile) increase in triglycerides or decreased by a factor of 0.92 (0.88-0.96) for every 0.2 mmol/L (≈1 quintile) increase in high-density lipoprotein cholesterol. For kidney disease, the odds ratio increased by 1.23 (1.16-1.31) with triglycerides and decreased by 0.86 (0.82-0.91) with high-density lipoprotein cholesterol. Retinopathy was associated with triglycerides and high-density lipoprotein cholesterol in matched analysis but not significantly after additional adjustment. CONCLUSIONS: Diabetic kidney disease is associated worldwide with higher levels of plasma triglycerides and lower levels of high-density lipoprotein cholesterol among patients with good control of low-density lipoprotein cholesterol. Retinopathy was less robustly associated with these lipids. These results strengthen the rationale for studying dyslipidemia treatment to prevent diabetic microvascular disease.

[Selenoprotein P in type 2 diabetes mellitus and its association with insulin resistance].

OBJECTIVE: To explore the relationship between selenoprotein P (SEPP) and insulin resistance in subjects with normal glucose tolerance and type 2 diabetes mellitus. METHODS: A total of 156 subjects with newly onset diabetes and 64 subjects with normal glucose tolerance were enrolled. Fasting plasma glucose (FPG), fasting insulin (FIN), lipid profile and SEPP level were measured and height, weight and blood pressure were recorded. Insulin resistance index was calculated by homeostatic model assessment (HOMA-IR). RESULTS: The SEPP level was significantly higher in obese and non-obese diabetic groups than control group ((4.43 ± 1.95), (3.01 ± 1.20) vs (2.34 ± 2.30)mmol/L, both P < 0.01). The SEPP level was significantly higher in obese subgroup of diabetic group than non-obese subgroup (P < 0.05). The SEPP level was positively correlated with FIN, FPG, body mass index (BMI), triglycerides (TG) and HOMA-IR (r = 0.401, 0.202, 0.420, 0.239, 0.445, P < 0.05) and negatively with ISI (r = -0.414, P < 0.01). Multivariate regression analysis demonstrated that SEPP level was independently correlated with insulin resistance (ß = 0.293, P < 0.01). And the independent factors for ISI were systolic pressure, HbA1c and SEPP level (ß = -0.195, -0.185 and -0.246, P < 0.05). CONCLUSION: Serum SEPP level may be an independent risk factor for insulin resistance regardless of age, blood pressure or lipid profile.

[Relationship between glycated albumin level and pancreatic ß cell function in newly diagnosed type 2 diabetics].

OBJECTIVE: To explore the relationship between glycated albumin (GA) level and pancreatic ß cell function in newly diagnosed type 2 diabetics. METHODS: The subjects sought the confirmation of diabetes diagnosis or underwent diabetes screening tests in high-risk patients from January 2008 to October 2010. All of them underwent 75 g oral glucose tolerance test (OGTT) and insulin releasing test. The levels of GA and hemoglobin A1c (HbA1c) were analyzed by liquid enzymatic method and high performance liquid chromatography respectively. Homeostasis model assessment (HOMA) was used to evaluate the basal insulin resistance (HOMA-IR) and pancreatic ß cell function (HOMA-ß). ΔI30/ΔG30 was used to evaluate early-phase insulin secretion after a glucose load. RESULTS: (1) Among 500 type 2 diabetics according to the diagnostic criteria of WHO (1999), 279 were males and 221 were females. Average age was 56.3 ± 12.3, GA (21.1 ± 5.4)% and HbA1c (7.0 ± 1.3)%. (2) A significantly positive relationship was shown between HbA1c and GA (r = 0.691, P < 0.01). GA was also positively correlated with fasting plasma glucose (FPG), 0.5 hPG, 1 hPG, 2 hPG and 3 hPG after a glucose load of OGTT test (r = 0.511 - 0.627, P < 0.01). (3) GA was negatively correlated with body mass index (BMI) (r = -0.112, P < 0.01), HOMA-ß (r = -0.350, P < 0.01) and ΔI30/ΔG30 (r = -0.263, P < 0.01). (4) Multivariant stepwise regression analysis showed that HbA1c, FPG, 3 hPG and ΔI30/ΔG30 were independent factors of GA level. CONCLUSION: Glycated albumin level is closely correlated with the function of early-phase insulin secretion in newly diagnosed type 2 diabetics.

Association of glycemic variability assessed by continuous glucose monitoring with subclinical diabetic polyneuropathy in type 2 diabetes patients.

AIMS/INTRODUCTION: Diabetic peripheral neuropathy is a common diabetes-related microvascular complication. The relationship between peripheral nerve function and glucose variability is unclear. We investigated the association of glucose variability with subclinical diabetic polyneuropathy in a large-scale sample of patients with type 2 diabetes. MATERIALS AND METHODS: We enrolled 509 individuals with type 2 diabetes who were screened for diabetic peripheral neuropathy and monitored using a continuous glucose monitoring system. Multiple glycemic variability parameters, including the mean amplitude of glycemic excursions, glucose standard deviation (SDgluc ) and glucose coefficient of variation were calculated from 3-day glucose profiles obtained from continuous glucose monitoring. All participants underwent nerve conduction studies, and the composite Z-scores for nerve conduction parameters were calculated. RESULTS: Multivariate logistic regression analyses showed that SDgluc and the conventional risk factor hemoglobin A1c (HbA1c) were independently associated with abnormal nerve function, and the corresponding odds ratios (95% confidence interval) were 1.198 (1.027-1.397, SDgluc ) and 1.182 (1.061-1.316, HbA1c), respectively. The composite Z-score of nerve conduction velocity and response amplitude obviously decreased with greater SDgluc , and the composite Z-score of distal latency significantly increased with increasing tertiles of SDgluc (all P trend <0.05). After adjusting for age, sex, body mass index, diabetes duration and HbA1c, SDgluc was independently associated with nerve conduction velocity (ß = -0.124, P = 0.021). CONCLUSIONS: The SDgluc is a significant independent contributor to subclinical diabetic polyneuropathy, in addition to conventional risk factors including diabetes duration and HbA1c.

[Combined utility of hemoglobin A1c and glycated albumin in diabetic screening].

OBJECTIVE: To assess the validity of combined detection of hemoglobin A1c (HbA1c) and glycated albumin (GA) in diabetic screening. METHODS: A total of 1480 subjects at our out-patient department from March 2007 to December 2009. Those suspected of diabetes or at a high risk of diabetes were enrolled. The study population included 677 males and 803 females with a mean age of 52.7 years. All subjects received an oral glucose tolerance test (OGTT) after a 10-hour fasting. Glycated albumin (GA) and hemoglobin A1c (HbA1c) were measured with liquid enzyme method and high pressure liquid chromatography respectively. RESULTS: (1) According to World Health Organization diabetes diagnosis criteria, there were 562 subjects with normal glucose tolerance (NGT), 411 subjects with impaired glucose regulation (IGR) and 507 subjects with newly diagnosed diabetes mellitus (DM). The level of HbA1c and GA had a rising tendency among NGT, IGR and DM groups (P < 0.01). (2) Pearson correlation analysis demonstrated that HbA1c had a positive association with GA (r = 0.75, P < 0.01). (3) Using OGTT as golden standard of diabetic diagnosis, receiver operator characteristic (ROC) curve indicated that HbA1c and GA were strong predictors of diabetes. The area under curve (AUC) was 0.882 and 0.881 respectively with no significant difference (P > 0.05). (4) The sensitivity of combined use of HbA1c and GA at optimal cut-off points of 6.1% and 17.1% was significantly higher than that of single use of HbA1c or GA in diabetic screening (94.7% vs 81.1%, 88.4%, P < 0.01). CONCLUSION: A combined detection of HbA1c and GA may improve the efficacy of diabetic screening. The subject with HbA1c ≥ 6.1% or GA ≥ 17.1% is recommended to undergo OGTT for confirming a diagnosis of diabetes.

The Effectiveness of Traditional Chinese Medicine Jinlida Granules on Glycemic Variability in Newly Diagnosed Type 2 Diabetes: A Double-Blinded, Randomized Trial.

This study aimed to evaluate the influence of Jinlida granules on glycemic variability with or without metformin treatment in patients with newly diagnosed type 2 diabetes. This study was a 16-week, double-blinded, randomized, controlled clinical trial. The enrolled patients with newly diagnosed type 2 diabetes were randomly divided into four groups: control, Jinlida, metformin, and combination treatment groups. A retrospective continuous glucose monitoring (CGM) system was used for subcutaneous interstitial glucose monitoring for 3 days consecutively. Hemoglobin A1c (HbA1c), traditional Chinese medicine symptom score, and CGM parameters, including glucose coefficient of variation, standard deviation of blood glucose values, and time in range of glucose 3.9-10.0 mmol/L, were assessed pre-test and post-test. A total of 138 participants completed the entire procedure. Compared with the pre-test, fasting plasma glucose, 2 hour postprandial plasma glucose, HbA1c, and traditional Chinese medicine symptom score all decreased in the four groups at the end of the test, and the combination treatment group showed the most significant decrease. In terms of CGM parameters, time in range of the Jinlida and metformin groups improved after intervention compared with the baseline (Jinlida group: 78.68 ± 26.15 versus 55.47 ± 33.29; metformin group: 87.29 ± 12.21 vs. 75.44 ± 25.42; P < 0.01). Additionally, only the Jinlida group showed decreased glucose standard deviation after intervention (1.57 ± 0.61 vs. 1.96 ± 0.95; P < 0.01). Jinlida granules can improve glycemic control and glycemic variability in patients with newly diagnosed type 2 diabetes. Clinical trial registration number: ChiCTR-IOR-16009296.

Effectiveness of a WeChat Combined Continuous Flash Glucose Monitoring System on Glycemic Control in Juvenile Type 1 Diabetes Mellitus Management: Randomized Controlled Trial.

PURPOSE: Smartphones have received increasing attention and achieved positive outcomes in diabetes intervention. The widespread use of WeChat in China provides an opportunity for self-management practices in patients with diabetes. Nevertheless, how to combine the strengths of the WeChat platform with traditional medical strategy remains to be explored. This study aimed to evaluate the efficacy of a novel flash glucose monitoring device combined with the WeChat platform in juvenile type 1 diabetes management. PATIENTS AND METHODS: A total of 60 juvenile patients with type 1 diabetes were randomly assigned into three groups: a blood glucose self-monitoring group (group A), a flash glucose monitoring (group B), and a flash glucose monitoring combined WeChat-interactive management group (group C). The intergroup differences in demographics, biochemical indicators, and questionnaire scores of the Diabetes Monitoring and Treatment Satisfaction Questionnaire and Diabetes Specific Quality of Life assessment were compared at the baseline and after 6 months. RESULTS: After the 6-month intervention, groups B and C showed significantly lower glycated hemoglobin A1c (HbA1c) levels compared to those observed at baseline (both P <0.05), with the largest decrease observed in group C (group B vs group C, P =0.04). Hypoglycemic episodes per month decreased from baseline in groups B and C (both P <0.05) and were more significant in group C (P <0.001). In addition, the DMTSQ scores increased in the 6th month in all groups (all P <0.05), and the largest rise in scores was found in group C, followed by groups B and A. The DQOL scores in groups B and C decreased significantly from the baseline (both P <0.05), with no change in group A. CONCLUSION: Flash glucose monitoring combined with the WeChat-interactive system may help achieve sustained glycemic control and higher satisfaction in patients with juvenile type 1 diabetes. TRIAL REGISTRATION: This study was registered at chictr.org.cn, number ChiCTR1900025495. Registered 29 August 2019.

Combined assessment of glycated albumin and fasting plasma glucose improves the detection of diabetes in Chinese subjects.

1. The aim of the present study was to assess the validity of glycated albumin (GA) and fasting plasma glucose (FPG) as a screening tool for the early detection of diabetes in Chinese subjects. 2. A total of 1971 outpatient subjects underwent a 75 g oral glucose tolerance test (OGTT) and GA measurement. The receiver operating characteristic curve (ROC) was plotted to examine the sensitivity, specificity, and positive and negative predictive values of GA and FPG in detecting undiagnosed diabetes at the different cut-off levels. 3. The prevalence of impaired glucose regulation and diabetes was 27.40% and 38.30%. For these diabetic individuals, 4.64% had isolated fasting hyperglycemia, 50.86% had isolated postprandial hyperglycemia and 44.50% had both. Using ROC analysis, a GA of 17.1% gave an optimal sensitivity of 76.82% (95% confidence interval: 73.64-79.79%) and specificity of 76.89% (74.42-79.23%) for the diagnosis of diabetes. Likewise, a FPG of 6.1 mmol/L gave an optimal sensitivity of 80.93% (77.94-83.67%) and specificity of 85.94% (83.86-87.84%). If subjects met both criteria, they were regarded as having diabetes; the positive predictive value of the combined criteria, FPG ≥ 6.1 mmol/L and GA ≥ 17.1%, was relatively high (84.79% (81.62-87.60%)), and this would have avoided 76% of the OGTT in our survey. 4. In conclusion, a GA value of 17.1%, an optimal cut-off in Chinese subjects, identified a high proportion of potential diabetic individuals. Simultaneous measurement of FPG and GA would enhance the sensitivity of diabetes screening in our population and avoid 76% of OGTT.

Characteristics of obesity and its related disorders in China.

Obesity is a medical condition with excess body fat accumulation to the extent which leads to serious health consequences. Abdominal obesity, also known as central obesity, refers to the presence of excess fat in the abdominal area. Obesity, especially abdominal obesity, contributes to many metabolic disorders including metabolic syndrome (MetS), type 2 diabetes (T2DM) and cardiovascular diseases (CVD). The incidence of obesity has increased dramatically in recent years worldwide. In China, more than one-third of adults are overweight or obese and 10%-20% of all adults are affected by MetS. The pathogenesis underlying the abdominal obesity remains unclear. The ultimate health outcome of obesity and its related metabolic disorders haveprompted physicians to take aggressive treatments (lifestyle changes, pharmacological interventions and surgical therapies) before a serious consequence becomes clinically apparent. In this review, we discuss the prevalence, pathogenesis and clinic features of obesity in China.

[Relation between the level of serum CA19-9 and glucose control in inpatients with diabetes].

OBJECTIVE: To investigate the effect of hemoglobin A1c (HbA1c) and glycated albumin (GA) on serum CA199 in diabetic patients. METHODS: 29 NGT matched control subjects and 371 hospitalized diabetic patients were enrolled. Diabetic patients were divided into satisfactory group (< 6.5%), general group (6.5%-7.5%) and dissatisfactory group (> 7.5%) by the level of HbA1c. The levels of serum CA199 among three groups were compared. The relationship between HbA1c and CA199, GA and CA199 was analysed. Multiple stepwise regression analysis was performed to compare the effect of different variables on CA199 as the independent variables were sex, age, duration, TC, TG, HDL, LDL, FBG, PBG, HbA1c and GA. RESULTS: (1) CA199 level of the group of HbA1c above 7.5% was significantly higher than the group of HbA1c between 6.5% and 7.5% and the group of HbA1c less than 6.5%. (2) The coefficient of correlation between HbA1c and CA199 was 0.394 (P = 0.000), and that was 0.381 between GA and CA199 (P = 0.000). (3) Multiple stepwise regression analysis show standard regression coefficient of HbA1c is 0.364 (P = 0.000). CONCLUSION: (1) CA199 level of diabetic patient in poor glucose control was significantly higher than the patient in good control. (2) CA199 was positively correlated with FBG, PBG, HbA1c and GA. (3) HbA1c is the independent risk factor of CA199. The elevated CA199 in diabetic patient has close relationship with poor glucose control in a long period.

Comparison of Four Risk Prediction Models for Diabetes Remission after Roux-en-Y Gastric Bypass Surgery in Obese Chinese Patients with Type 2 Diabetes Mellitus.

BACKGROUND: Roux-en-Y gastric bypass (RYGB) is a major type of bariatric surgery. Various models have been established for facilitating clinical decision-making and predicting outcomes after RYGB; the ABCD, DiaRem, advanced-DiaRem (Ad-DiaRem), and DiaBetter scores are among the most commonly used risk prediction models. However, these models were primarily developed based on retrospective analyses of patients from Western countries at 1 year after RYGB. The present study was to assess the performance of these models and identify the optimal model, for predicting postoperative diabetes remission in diabetic Chinese patients. METHODS: The present study included a total of 253 RYGB patients; 214 completed a 1-year follow-up and 131 completed a 3-year follow-up. The assessments and comparisons of the predictive performance of the four models were based on both discrimination and calibration measures. Discrimination was assessed according to the area under the receiver operating characteristic curve (AUC), and calibration was evaluated by Hosmer-Lemeshow goodness-of-fit tests and predicted-to-observed ratios. RESULTS: One hundred thirteen (52.8%) in the 1-year follow-up group and 59 (45.0%) in the 3-year follow-up group achieved complete diabetes remission. Although all models showed similar discriminatory capacity and good calibration, the DiaBetter model exhibited the best predictive performance (1-year follow-up, AUC 0.760, 95% confidence interval [CI] 0.697-0.815, predicted-to-observed ratio 1.04; 3-year follow-up, AUC 0.804, 95% CI 0.726-0.868, predicted-to-observed ratio 0.95). CONCLUSIONS: The present results indicated that the DiaBetter model is the optimal model for predicting postoperative diabetes remission in diabetic Chinese individuals, due to its excellent predictive accuracy and ready availability for use in clinical practice.

Decreased Leptin Is Associated with Alterations in Thyroid-Stimulating Hormone Levels after Roux-en-Y Gastric Bypass Surgery in Obese Euthyroid Patients with Type 2 Diabetes.

BACKGROUND: Leptin has been shown to stimulate the hypothalamus-pituitary-thyroid (HPT) axis in vivo and vitro. Its role in thyroid axis regulation after weight loss induced by bariatric surgery is still unknown. The aim of this study was to evaluate the influence of leptin on weight loss and thyroid function variation induced by Roux-en-Y gastric bypass (RYGB) surgery in euthyroid individuals with obesity and type 2 diabetes mellitus (T2DM). METHODS: 65 Chinese individuals with obesity and T2DM who underwent RYGB, and 27 healthy volunteers were enrolled in this retrospective study. Participants were evaluated for changes in anthropometric parameters, metabolic indexes, thyroid function, and leptin levels before and 12 months after surgery. RESULTS: After RYGB, all of these patients experienced significant weight reduction and improved glucose control. Metabolic parameters were significantly ameliorated after surgery compared with baseline. Thyroid hormones including free triiodothyronine (FT3), free thyroxine (FT4), and thyroid-stimulating hormone (TSH) declined in parallel. Median (IQR) plasma leptin levels decreased from 33.7 ng/mL (17.9-63.1) to 10.3 ng/mL (4.0-18.5). Pearson correlation analysis showed that TSH was significantly positively correlated with body mass index, C-reactive protein (CRP), and leptin. Multiple stepwise linear regression indicated that leptin and CRP were independent factors affecting TSH. The ß coefficients were 0.38 (p = 0.001) and 0.32 (p = 0.004), respectively. There was a significant positive correlation between ΔTSH and Δleptin (r = 0.33, p = 0.01). CONCLUSION: Decreased or normalized TSH levels after weight loss induced by RYGB might be mediated by the decline in leptin. There could be cross talk between adipose tissue and the HPT axis.

Early-onset diabetes: an epidemic in China.

Although type 2 diabetes is a disease often associated with aging, the global prevalence of early-onset diabetes has been increasing due to man's sedentary lifestyle, low-physical activity, obesity, and some nonmodifiable risk factors. Many studies have found that individuals with early-onset type 2 diabetes were at higher risk of developing vascular complications than those with late-onset diabetes. Individuals with early-onset diabetes are usually unwilling to visit hospital and have more confidence in their health, which results in poor glycemic control and the delayed detection of diabetes-related complications. Few studies have focused on the treatment and prevention of complications in specific population of individuals with early-onset type 2 diabetes. Therefore, focusing on this particular population is critical for the government and academic societies. Screening for T2DM is imminent for young adults with a family history of diabetes, obesity, markers of insulin resistance, or alcohol consumption. More data are definitely required to establish a reasonable risk model to screen for early-onset diabetes.

Early elevated alkaline phosphatase increases the risk of large-for-gestational-age birth weight in pregnant women with normal glucose tolerance.

AIMS: The aim of this study was to assess the association between levels of alkaline phosphatase (ALP) in early pregnancy and the incidence of large-for-gestational-age (LGA) neonates in pregnant women without gestational diabetes mellitus. METHODS: A prospective cohort was carried out in 544 women and their biochemical parameters including serum ALP and demographic characteristics were collected in 13-16th gestational week. At 24-28th weeks of gestation, 50 g oral glucose challenge test and oral 75 g glucose tolerance test was performed. LGA was defined as birth weight ≥ 90th percentile for completed week of gestational age based on the sex-specific growth curves. Logistic regression and receiver operating characteristic analysis were utilized to identify independent risk factors and odds ratio among ALP quartiles for incidence of LGA. RESULTS: Women diagnosed as LGA held higher level of ALP than women in non-LGA group (P = 0.008). Moreover, ALP (odds ratio (OR) 1.05 [95% confidence interval (CI): 1.00, 1.10]) was the independent risk factors associated with LGA. Compared with ALP quartile 1, women in quartile 4 had more than 2.5-fold increased odds of LGA (OR 3.78, 95% CI: 1.10, 13.02), and the risk reached 4 times after adjusting several covariates (OR 4.15, 95% CI: 1.14,15.13). CONCLUSIONS: A significantly increased risk of LGA was associated with higher serum concentrations of ALP in pregnant women with NGT, even it is in normal reference range.