Retinol‐binding Protein 4 (RBP4) Protein Expression Is Increased in Omental Adipose Tissue of Severely Obese Patients

Visceral fat has been linked to insulin resistance and type 2 diabetes mellitus (T2DM); and emerging data links RBP4 gene expression in adipose tissue with insulin resistance. In this study, we examined RBP4 protein expression in omental adipose tissue obtained from 24 severely obese patients undergoing bariatric surgery, and 10 lean controls (4 males/6 females, BMI = 23.2 ± 1.5 kg/m²) undergoing elective abdominal surgeries. Twelve of the obese patients had T2DM (2 males/10 females, BMI: 44.7 ± 1.5 kg/m²) and 12 had normal glucose tolerance (NGT: 4 males/8 females, BMI: 47.6 ± 1.9 kg/m²). Adipose RBP4, glucose transport protein‐4 (GLUT4), and p85 protein expression were determined by western blot. Blood samples from the bariatric patients were analyzed for serum RBP4, total cholesterol, triglycerides, and glucose. Adipose RBP4 protein expression (NGT: 11.0 ± 0.6; T2DM: 11.8 ± 0.7; lean: 8.7 ± 0.8 arbitrary units) was significantly increased in both NGT (P = 0.03) and T2DM (P = 0.005), compared to lean controls. GLUT4 protein was decreased in both NGT (P = 0.02) and T2DM (P = 0.03), and p85 expression was increased in T2DM subjects, compared to NGT (P = 0.03) and lean controls (P = 0.003). Regression analysis showed a strong correlation between adipose RBP4 protein and BMI for all subjects, as well as between adipose RBP4 and fasting glucose levels in T2DM subjects (r = 0.76, P = 0.004). Further, in T2DM, serum RBP4 was correlated with p85 expression (r = 0.68, P = 0.01), and adipose RBP4 protein trended toward an association with p85 protein (r = 0.55, P = 0.06). These data suggest that RBP4 may regulate adiposity, and p85 expression in obese‐T2DM, thus providing a link to impaired insulin signaling and diabetes in severely obese patients.     

Relationship of Adipokines and Proinflammatory Cytokines Among Asian Indians With Obesity and Youth Onset Type 2 Diabetes

Objective: It is well known that inflammation is associated with diabetes, but it is unclear whether obesity mediates this association in individuals with youth-onset type 2 diabetes mellitus (T2DM-Y).Methods: We recruited individuals with T2DM-Y (age at onset <25 years) and age-matched normal glucose tolerance (NGT) subjects. Participants were further classified using Asia-Pacific body mass index cut-points for obesity and categorized as: nonobese NGT (n = 100), Obese NGT (n = 50), nonobese T2DM-Y (n = 50), and obese T2DM-Y (n = 50). We compared adipokines (adiponectin and leptin) and proinflammatory cytokines (tumor necrosis factor alpha &lsqb;TNF-α] and monocyte chemotactic protein-1 &lsqb;MCP-1]) across groups.Results: Compared to nonobese NGT, the other 3 groups (obese NGT, nonobese T2DM-Y, and obese T2DM-Y) were found to have lower adiponectin (7.7 vs. 5.7, 4.2, 3.8 μg/mL, P<.01), and higher leptin (3.6 vs. 5.4, 5.7, 7.9 μg/mL, P<.001) and MCP 1 (186 vs. 272, 340, 473 pg/mL, P<.001) respectively. However, TNF-α levels were higher only among nonobese T2DM-Y (112 pg/mL) and obese T2DM-Y (141 pg/mL, P<.01 for each). After adjusting for age, sex, waist, hypertension, homeostatic model assessment of insulin resistance (HOMA-IR), serum cholesterol, triglycerides, and family history of diabetes, adiponectin was associated with 33% and 41% lower odds of being nonobese T2DM and obese T2DM, respectively. However, adjusted for same factors, leptin, TNF-α, and MCP-1 were associated with markedly higher odds (5- to 14-fold) of nonobese and obese T2DM.Conclusion: In young Asian Indians, leptin and proinflammatory cytokines are positively, and adiponectin negatively, associated with both nonobese and obese T2DM-Y compared to nonobese NGT individuals.Abbreviations: BMI = body mass index CI = confidence interval FPG = fasting plasma glucose HOMA-IR = homeostatic model assessment of insulin resistance IGT = impaired glucose tolerance MCP-1 = monocyte chemotactic protein-1 NGT = normal glucose tolerance OGTT = oral glucose tolerance test OR = odds ratio T2DM-Y = youth-onset type 2 diabetes TNF-α = tumor necrosis factor-α     

Dexamethasone Stress Test: A Pilot Clinical Study for Identification of Individuals Highly Prone to Develop Type 2 Diabetes

Objective: We examined whether the “Dexamethasone Stress Test” exhibits the requisite high predictive ability to identify individuals highly prone to develop type 2 diabetes mellitus (T2DM).Methods: Seven years ago, we administered an oral glucose tolerance test (OGTT) to 33 individuals without T2DM and repeated the OGTT 24 hours after a single oral dose of 8 mg dexamethasone (Dex); all participants had a first-degree relative with T2DM, and close to half had prediabetes. We calculated receiver operating characteristic (ROC) curves for all parameters derived from the OGTT before and after Dex in individuals who subsequently developed diabetes compared to individuals who did not.Results: At 7 years of follow-up, 9 individuals had developed T2DM, while 24 remained without diabetes. None of the OGTT-derived parameters before administration of Dex had an area under the ROC curve of >0.8. However, 24 hours after Dex, three parameters, including fasting plasma insulin, homeostatic model assessment–insulin resistance, and 2-hour plasma glucose level, exhibited areas under the ROC curves of 0.84, 0.86, and 0.92, respectively.Conclusion: The Dexamethasone Stress Test appears to be a good to excellent test in identifying individuals highly prone to develop T2DM.Abbreviations: AUC = area under the curve; Dex = dexamethasone; HOMA-IR = homeostatic model assessment–insulin resistance; NGT = normal glucose tolerance; OGTT = oral glucose tolerance test; PreDiab = prediabetes; ROC = receiver operating characteristic; T2DM = type 2 diabetes mellitus     

The Association of Decreased Serum Gdnf Level with Hyperglycemia and Depression in Type 2 Diabetes Mellitus

Objective: Comorbidity of diabetes and depression is a critical problem. Decreased glial-derived neurotrophic factor (GDNF) has been demonstrated in depression, but no evidence of a relationship between GDNF and diabetes has been shown. The present studies were designed to investigate the relationship between GDNF and metabolism.Methods: In Study 1, we performed a case-control study in which subjects with type 2 diabetes mellitus (T2DM), prediabetes (p-DM), and normal glucose tolerance (NGT) were included. In Study 2, we performed a cross-sectional study in 296 patients having pre-existing diabetes in whom the levels of serum GDNF, blood glucose, blood lipids, blood pressure, body mass index, scores from the Patient Health Questionnaire (PHQ-9), the EuroQol-5 scale, and the diabetes distress scale were measured, as well as single-nucleotide polymorphisms of GDNF including rs884344, rs3812047, and rs2075680.Results: In Study 1, serum GDNF concentration was significantly lower in the T2DM group than in the NGT group (NGT: 11.706 ± 3.918 pg/mL; p-DM: 10.736 ± 3.722 pg/mL; type 2 diabetes mellitus &lsqb;T2DM group]: 9.884 ± 2.804 pg/mL, P = .008). In Study 2, significantly decreased serum GDNF levels were observed in subjects with poor glycemic control or depression (glycated hemoglobin &lsqb;HbA1c] <7.0% without depression: 11.524 ± 2.903 pg/mL; HbA1c ≥7.0% without depression: 10.625 ± 2.577 pg/mL; HbA1c <7.0% with depression: 10.355 ± 2.432 pg/mL; HbA1c ≥7.0% with depression: 8.824 ± 2.102 pg/mL, P = .008). Double-factor variance analysis showed that glycemic control and depression were independent factors for the GDNF level. Moreover, the serum GDNF level was significantly inversely associated with the fasting plasma glucose, 2 hours postprandial plasma glucose, HbA1c, and PHQ-9 score.Conclusion: Glycemic dysregulation was an independent factor for the GDNF level. These findings suggest that GDNF level might be involved in the pathophysiology of T2DM and depression through various pathways.Abbreviations: BP = blood pressure; CHO = cholesterol; DDS = diabetes distress scale; DM = diabetes mellitus; EQ-5D = the health-related dimensions of the EuroQol-5 scale; FPG = fasting plasma glucose; GDNF = glial-derived neurotrophic factor; HbA1c = glycated hemoglobin; HDL = high-density lipoprotein; LDL = low-density lipoprotein; NGT = normal glucose tolerance; PHQ-9 = Patient Health Questionnaire; p-DM = prediabetes; PPG = postprandial plasma glucose; SNP = single-nucleotide polymorphism; T2DM = type 2 diabetes mellitus; TG = triglyceride     

Intermittent Intensive Insulin Therapy for Type 2 Diabetes: Effects on Hypoglycemia,Weight Gain,and Quality of Life Over 2 Years

Objective: In early type 2 diabetes (T2DM), the administration of short-term intensive insulin therapy (IIT) can induce glycemic remission for a year thereafter, but this effect ultimately wanes. In this context, intermittently repeating short-term IIT could provide a strategy for maintaining the otherwise transient benefits of this intervention. However, the viability of this strategy would be contingent upon not inducing undesirable effects of insulin therapy such as excessive hypoglycemia and fat deposition. We thus sought to evaluate the effect of administering short-term IIT every 3 months on hypoglycemia, weight gain, and quality of life in early T2DM.Methods: In this 2-year pilot trial, 24 adults with T2DM of 2.0 ± 1.7 years duration and hemoglobin A1c of 6.4 (46 mmol/mol) ± 0.1% were randomized to 3 weeks of IIT (glargine, lispro) followed by either (1), repeat IIT for up to 2 weeks every 3 months or (2), daily metformin. IIT was titrated to target near-normoglycemia (premeal glucose 4 to 6 mmol/L; 2-hour postmeal <8 mmol/L). Participants were assessed every 3 months, with quality of life (QOL) evaluated annually.Results: The rate of hypoglycemia (<3.5 mmol/L) was low in the metformin and intermittent IIT arms (0.37 versus 0.95 events per patient-year; P = .28). There were no differences between the groups in changes over time in overall, central, or hepatic fat deposition (as reflected by weight &lsqb;P = .10], waist-to-hip ratio &lsqb;P = .58], and alanine aminotransferase &lsqb;P = .64], respectively). Moreover, there were no differences between the groups in QOL at 1- and 2-years.Conclusion: Intermittent short-term IIT may be safely administered in early T2DM without excessive adverse impact on hypoglycemic risk, anthropometry, or QOL.Abbreviations: ALT = alanine aminotransferase; HbA1c = hemoglobin A1c; IIT = intensive insulin therapy; ISSI-2 = insulin secretion-sensitivity index-2; OGTT = oral glucose tolerance test; QOL = quality of life; SF-36 = medical outcomes study 36-item short-form health survey; T2DM = type 2 diabetes     

Plasma Adiponectin Levels in High Risk African‐Americans with Normal Glucose Tolerance,Impaired Glucose Tolerance,and Type 2 Diabetes**

Objective: We studied plasma adiponectin, insulin sensitivity, and insulin secretion before and after oral glucose challenge in normal glucose tolerant, impaired glucose tolerant, and type 2 diabetic first degree relatives of African‐American patients with type 2 diabetes. Research Methods and Procedures: We studied 19 subjects with normal glucose tolerance (NGT), 8 with impaired glucose tolerance (IGT), and 14 with type 2 diabetes. Serum glucose, insulin, C‐peptide, and plasma adiponectin levels were measured before and 2 hours after oral glucose tolerance test. Homeostasis model assessment‐insulin resistance index (HOMA‐IR) and HOMA‐β cell function were calculated in each subject using HOMA. We empirically defined insulin sensitivity as HOMA‐IR < 2.68 and insulin resistance as HOMA‐IR > 2.68. Results: Subjects with IGT and type 2 diabetes were more insulin resistant (as assessed by HOMA‐IR) when compared with NGT subjects. Mean plasma fasting adiponectin levels were significantly lower in the type 2 diabetes group when compared with NGT and IGT groups. Plasma adiponectin levels were 2‐fold greater (11.09 ± 4.98 vs. 6.42 ± 3.3811 μg/mL) in insulin‐sensitive (HOMA‐IR, 1.74 ± 0.65) than in insulin‐resistant (HOMA‐IR, 5.12 ± 2.14) NGT subjects. Mean plasma adiponectin levels were significantly lower in the glucose tolerant, insulin‐resistant subjects than in the insulin sensitive NGT subjects and were comparable with those of the patients with newly diagnosed type 2 diabetes. We found significant inverse relationships of adiponectin with HOMA‐IR (r = ?0.502, p = 0.046) and with HOMA‐β cell function (r = ?0.498, p = 0.042) but not with the percentage body fat (r = ?0.368, p = 0.063), serum glucose, BMI, age, and glycosylated hemoglobin A1C (%A1C). Discussion: In summary, we found that plasma adiponectin levels were significantly lower in insulin‐resistant, non‐diabetic first degree relatives of African‐American patients with type 2 diabetes and in those with newly diagnosed type 2 diabetes. We conclude that a decreased plasma adiponectin and insulin resistance coexist in a genetically prone subset of first degree African‐American relatives before development of IGT and type 2 diabetes.     

The Relationship Between Serum 25-Hydroxyvitamin D and Glucose Homeostasis in Obese Children and Adolescents in Zhejiang,China

Objective: Evidence of the association between vitamin D, insulin resistance, and oral disposition index (oDI) in obese children and adolescents is limited. To fill this research gap, we measured serum 25-hydroxyvitamin D (25&lsqb;OH]D) levels in obese children and analyzed the relationship between serum 25(OH)D levels and glucose homeostasis.Methods: Altogether, 348 obese and 445 nonobese children and adolescents (age, 6 to 16 years) were enrolled in this study. Obese children were divided into 4 subgroups: normal glucose tolerance (NGT), impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and combined IFG and IGT (IFG+IGT) according to oral glucose tolerance test results. We measured serum 25(OH)D levels and calculated the homeostasis model assessment (HOMA) of insulin resistance (IR), the whole-body insulin sensitivity index (WBISI), and the disposition index.Results: The levels of 25(OH)D in the obese group were significantly lower than in the nonobese group; serum 25(OH)D level in the NGT subgroup was higher than those of the other 3 subgroups, and it was significantly inversely correlated with logHOMA-IR (r = -0.090; P = .045) and positively correlated with logWBISI and logHOMA-oDI (r = 0.091, P = .049; and r = 0.108, P = .046, respectively). Obese patients with vitamin D deficiency thus have a significantly higher risk of disturbances in glucose metabolism.Conclusion: 25(OH)D deficiency or insufficiency is quite common in obese children and adolescents in Zhejiang, China. Obese patients with 25(OH)D deficiency (<30 nmol/L) are shown to be at higher risk for abnormal glucose metabolism.Abbreviations: 25(OH)D = 25-hydroxyvitamin D ΔI₃₀/ΔG₃₀ = insulinogenic index BMI = body mass index CI = confidence interval HbA_1c = hemoglobin A_1c HOMA = homeostasis model assessment I_F = fasting insulin IFG = impaired fasting glucose IGT = impaired glucose tolerance IR = insulin resistance NGT = normal glucose tolerance oDI = oral disposition index OGTT = oral glucose tolerance test WBISI = whole-body insulin sensitivity index     

A Cross-Sectional Study of the Association between the 1-Hour Oral Glucose Tolerance Test and the Metabolic Syndrome in a High-Risk Sample with Impaired Fasting Glucose

Objective: The aim of this study was to evaluate the association between the 1-hour oral glucose tolerance test (OGTT) (≥155 mg/dL) and metabolic syndrome (MS) in a sample with previous impaired fasting glucose (IFG).Methods: Three hundred and twenty four Peruvian subjects with a history of IFG ≥100 mg/dL were selected for a cross-sectional study. They underwent a 75 g OGTT and were assigned to different groups according to the result. We evaluated the association between 1-hour OGTT and MS.Results: The mean age was 56.5 ± 12.6 years and 191 (61.5%) were female. During the OGTT, we found 28 (8.6%) subjects with diabetes, 74 (22.8%) with IGT, and 222 (68.5%) with a normal glucose tolerance test with a 2-hour glucose <140 mg/dL (NGT). In the NGT group, 124 (38.3%) had 1-hour glucose levels <155 mg/dL, while 98 (30.2%) had 1-hour glucose levels ≥155 mg/dL. Evaluating the association between the 1-hour value in the OGTT and MS, we found that subjects with a 1-hour glucose ≥155 mg/dL were more than twice as likely to have MS as those with a 1-hour glucose <155 mg/dL (odds ratio = 2.64, 95% confidence interval: 1.52 to 4.57). In addition, body mass index, fasting glycemia, triglycerides, and waist circumferences were significantly higher in subjects with 1-hour glucose levels ≥155 mg/dL compared to those with 1-hour glucose levels <155 mg/dL (P<.05).Conclusion: Among subjects with IFG, performing an OGTT was helpful to identify subjects with 1-hour glucose levels ≥155 mg/dL and NGT who were significantly more likely to have MS and a worse cardiometabolic risk profile.Abbreviations: AST = aspartate aminotransferase; BMI = body mass index; CI = confidence interval; IFG = impaired fasting glucose; IGT = impaired glucose tolerance; LDL = low-density lipoprotein; MS = metabolic syndrome; NGT = normal glucose tolerance; OGTT = oral glucose tolerance test; OR = odds ratio; T2DM = type 2 diabetes; TG = triglycerides     

Rosiglitazone Improves Glucose Metabolism in Obese Adolescents With Impaired Glucose Tolerance: A Pilot Study

Impaired glucose tolerance (IGT) is a prediabetic state fueling the rising prevalence of type 2 diabetes mellitus (T2DM) in adolescents with marked obesity. Given the importance of insulin resistance, the poor β‐cell compensation and the altered fat partitioning as underlying defects associated with this condition, it is crucial to determine the extent to which these underlying abnormalities can be reversed in obese adolescents. We tested, in a pilot study, whether rosiglitazone (ROSI) restores normal glucose tolerance (NGT) in obese adolescents with IGT by improving insulin sensitivity and β‐cell function. In a small randomized, double‐blind, placebo (PLA)‐controlled study, lasting 4 months, 21 obese adolescents with IGT received either ROSI (8 mg daily) (n = 12, 5M/7F, BMI z‐score 2.44 ± 0.11) or PLA (n = 9, 4M/5F, BMI z‐score 2.41 ± 0.09). Before and after treatment, all subjects underwent oral glucose tolerance test (OGTT), hyperinsulinemic‐euglycemic clamp, magnetic resonance imaging, and ¹H NMR assessment. After ROSI treatment, 58% of the subjects converted to NGT compared to 44% in the PLA group (P = 0.528). Restoration of NGT was associated with a significant increase in insulin sensitivity (P < 0.04) and a doubling in the disposition index (DI) (P < 0.04), whereas in the PLA group, these changes were not significant. The short‐term use of ROSI appears to be safe in obese adolescents with IGT. ROSI restores NGT by increasing peripheral insulin sensitivity and β‐cell function, two principal pathophysiological abnormalities of IGT.     

糖尿病不同发展阶段胰岛功能的变化趋势*

目的:研究糖尿病不同发展阶段胰岛素敏感性及胰岛素分泌功能的改变,指导2型糖尿病的早期诊断。方法:57例行OGTT体检者,分为NGT、IGT、IFG+IGT、新诊断T2DM四组,并行IVGTT,采用HOMA-IR评估胰岛素敏感性,采用葡萄糖处置指数[DI1=HOMA-β/HOMA-IR,DI2=ΔI30/ΔG30/HOMA-IR,DI3=MBCI×IAI,DI4=AIR0-10/HOMA-IR]及AUCINS/HOMA-IR评估胰岛素分泌功能。结果:IGT、IFG+IGT、新诊断T2DM组HOMA-IR无统计学差异(P>0.05),均显著高于NGT组(P<0.05)。IGT、IFG+IGT、新诊断T2DM组DI1逐步降低(P<0.05);NGT、IGT组DI1无统计学差异(P>0.05)。NGT、IGT、IFG+IGT、新诊断T2DM组DI2、DI3、DI4逐步降低(P<0.05)。IFG+IGT、新诊断T2DM组OGTTAUCINS/HOMA-IR逐步降低(P<0.05),且显著低于NGT组(P<0.05);NGT、IGT组OGTTAUCINS/HOMA-IR无统计学差异(P>0.05)。结论:(1)IGT阶段胰岛素抵抗及胰岛素1相、早期相分泌功能的下降同时存在。IFG+IGT阶段胰岛素1相、早期相分泌进一步下降,并出现基础相、2相分泌的减少,胰岛素抵抗加重不明显。新诊断T2DM阶段胰岛素各相分泌进一步减少,胰岛素抵抗加重不明显。(2)在T2DM发生过程中,胰岛素分泌功能下降较胰岛素敏感性下降更为明显。(3)胰岛素抵抗及胰岛素1相、早期相分泌功能的下降是T2DM的预测因子。(4)IFG+IGT阶段应积极干预。     

Dpp4 Inhibitor Sitagliptin As A Potential Treatment Option In Metformin-Intolerant Obese Women With Polycystic Ovary Syndrome: A Pilot Randomized Study

Objective: Metformin has an established role in the management of polycystic ovary syndrome (PCOS). Some patients cannot tolerate it due to associated gastrointestinal adverse events. The present study evaluated the dipeptidyl peptidase 4 inhibitor sitagliptin as a potential treatment option in metformin-intolerant PCOS.Methods: We conducted a 12-week, prospective, randomized, open-label study with 30 obese metformin-intolerant women with PCOS (age 35.0 ± 7.2 years; body mass index, 36.9 ± 5.5 kg/m²). After metformin withdrawal, they were randomized to lifestyle intervention and sitagliptin 100 mg daily (SITA) or lifestyle intervention alone as controls (CON). All participants underwent anthropometric and endocrine measurements and oral glucose tolerance testing. Model-derived indexes of insulin resistance and beta-cell function were calculated.Results: SITA improved beta-cell function as assessed by the homeostasis model assessment for beta-cell function index (HOMA-B) of 45.9 ± 35.8 (P = .001), modified beta-cell function index (MBCI) of 7.9 ± 7 (P = .002), and quantitative insulin-sensitivity check index (QUICKI) of -0.03 ± 0.03 (P = .002). By contrast, beta-cell function decreased in CON. The between-group differences were significant for HOMA-B (P = 0.001), MBCI (P = .010), and QUICKI (P = .025). The conversion rate to impaired glucose homeostasis was prevented in SITA: 3 of 15 subjects had impaired glucose tolerance (IGT) before and after the study. In CON, none had type 2 diabetes (T2D), and 4 had IGT at the beginning. After 12 weeks, IGT was observed in 2 and T2D in 3 subjects.Conclusion: SITA improved beta-cell function and prevented a conversion to IGT and T2D in metformin-intolerant obese PCOS patients.Abbreviations: BMI = body mass index; DPP-4 = dipeptidyl peptidase-4; DXA = dual energy X-ray absorptiometry; GIP = glucose-dependent insulinotropic peptide; GLP-1 = glucagon-like peptide-1; HOMA-B = homeostasis model assessment for beta-cell function; HOMA-IR = homeostasis model assessment of insulin resistance; IAI = insulin action index; IGT = impaired glucose tolerance; IR = insulin resistance; MBCI = modified beta-cell function index; OGTT = oral glucose tolerance test; QUICKI = quantitative insulin sensitivity check index; PCOS = polycystic ovary syndrome; SHBG = sex hormone–binding globulin; T2D = type 2 diabetes     

Comparison of the Effect of Insulin Glulisine to Insulin Aspart on Breakfast Postprandial Blood Glucose Levels in Children with Type 1 Diabetes Mellitus on Multiple Daily Injections

ObjectiveRapid-acting insulins, including insulin aspart (NovoLog) and lispro (Humalog), do not seem to effectively control postprandial glycemic excursions in children with type 1 diabetes mellitus (T1DM). The objective of this study was to determine if insulin glulisine (Apidra), another rapid-acting insulin analog, would be superior in controlling postprandial hyperglycemia in children with T1DM.MethodsThirteen prepubertal children ages 4 to 11 years completed this study. Inclusion criteria included T1DM ≥6 months, glycosylated hemoglobin (HbAlC) 6.9 to 10%, blood glucose (BG) levels in adequate control for 1 week prior to study start, multiple daily injections (MDI) with insulin glargine or determir once daily and aspart or lispro premeal. If fasting BG was 70 to 180 mg/dL, subjects received insulin glulisine alternating with aspart prior to a prescribed breakfast with a fixed amount of carbohydrate (45, 60, or 75 g) for 20 days. Postprandial BG values were obtained at 2 and 4 hours.ResultsMean baseline BG values for insulin glulisine (136.4 ± 15.7 mg/dL; mean ± SD) and aspart (133.4 ± 14.7 mg/dL) were similar (P = .34). Mean increase in 2-hour postprandial BG was higher in glulisine (+113.5 ± 65.2 mg/dL) than aspart (+98.6 ± 66.9 mg/dL), (P = .01). BG remained higher at 4 hours (glulisine: 141.9 ± 36.5 mg/ dL, aspart: 129.0 ± 37.0 mg/dL) (P = .04). Although statistically insignificant, more hypoglycemic events occurred at 2-and 4-hours postprandial with insulin aspart.ConclusionInsulin aspart appears to be more effective than insulin glulisine in controlling 2-and 4-hour postprandial BG excursions in prepubertal children with T1DM. (Endocr Pract. 2013;19:614-619)     

糖尿病前期和新诊断2型糖尿病患者血清血管内皮生长因子B水平与胰岛素抵抗的相关性

目的:探讨在糖尿病前期和新诊断2型糖尿病(T2DM)患者血清血管内皮生长因子B(VEGF-B)与胰岛素抵抗(IR)的关系。方法:选取2011年7月至2013年12月在我院内分泌科门诊就诊的患者419例,其中160例糖耐量正常(NGT)、142例糖尿病前期、117例新诊断T2DM患者,采用ELISA法测定血清VEGF-B水平,进一步分析血清VEGF-B水平与胰岛功能、胰岛素敏感性、肥胖及糖脂代谢相关代谢指标间的相关性。结果:血清VEGF-B水平在NGT (130.8 pg/mL [IQR 61.3-227.5])、糖尿病前期(146.7pg/mL [84.1-214.9])和T2DM(135.3 pg/mL [58.3-214.8])三组间无显著差异(P0.05)。相关分析显示血清VEGF-B水平与体重指数(BMI)、腰臀比(WHR)、血脂谱、胰岛功能及胰岛素敏感性均无相关性(P0.05)。结论:在糖尿病前期和新诊断T2DM患者,血清VEGF-B水平与肥胖、血脂谱、胰岛功能和胰岛素敏感性均无显著相关性,VEGF-B在人胰岛素抵抗及T2DM的发生中可能作用有限,仍需进一步研究明确其在代谢中的作用。     

Impact of Type 2 Diabetes on Nonalcoholic Steatohepatitis and Advanced Fibrosis in Patients with Nonalcoholic Fatty Liver Disease

Objective: Type 2 diabetes mellitus (T2DM) is a risk factor for nonalcoholic fatty liver disease (NAFLD). The aim of this study was to investigate the effect of T2DM on nonalcoholic steatohepatitis (NASH) and advanced fibrosis.Methods: A total of 221 NAFLD patients who had undergone a liver biopsy were included in this study. Subjects were divided into a non-T2DM group and a T2DM group based on glycemic control. NASH was diagnosed by the joint presence of steatosis, ballooning, and lobular inflammation. The steatosis, activity, and fibrosis (SAF) score and NAFLD activity score (NAS) were used to evaluate the severity of NAFLD. The severity of liver fibrosis was evaluated based on the fibrosis stage.Results: The total percentages of NASH and advanced fibrosis in this study were 95.0% and 50.2%, respectively. The percentages of NASH and advanced fibrosis in NAFLD patients with T2DM were 96.1% and 56.5%, respectively, which were higher than those in the non-T2DM group. SAF score (especially activity and fibrosis stage) and NAS (especially ballooning) were higher in NAFLD patients with T2DM than in NAFLD patients without T2DM. Glycemic control and insulin resistance were positively associated with SAF, NAS, and fibrosis stage. Additionally, T2DM elevated the risk of a high NAS and advanced fibrosis.Conclusion: T2DM increases the risk of serious NASH and advanced fibrosis in patients with NAFLD. Liver biopsy can be performed in NAFLD patients with T2DM to confirm the stage of NAFLD. Screening of NASH and advanced fibrosis in NAFLD patients with T2DM is needed.Abbreviations: ALT = alanine aminotransferase; APO = apolipoprotein; AST = aspartate aminotransferase; BMI = body mass index; CI = confidence interval; FPG = fasting plasma glucose; GGT = gamma-glutamyl transferase; HbA1c = hemoglobin A1c; HDL-c = high-density-lipoprotein cholesterol; ¹H-MRS = proton magnetic resonance spectroscopy; HOMA-IR = homeostasis model assessment of insulin resistance; 2hPG = postprandial plasma glucose at 2 hours; LDL-c = low-density-lipoprotein cholesterol; LFC = liver fat content; NAFLD = nonalcoholic fatty liver disease; NAS = NAFLD activity score; NASH = nonalcoholic steatohepatitis; OGTT = oral glucose tolerance test; OR = odds ratio; T2DM = type 2 diabetes mellitus; TC = total cholesterol; TG = triglyceride; SAF = steatosis, activity, and fibrosis; US-FLI = ultrasonographic fatty liver indicator     

β‐Cell Function Improvement After Biliopancreatic Diversion in Subjects With Type 2 Diabetes and Morbid Obesity

In subjects with obesity and type 2 diabetes mellitus (T2DM), biliopancreatic diversion (BPD) improves glucose stimulated insulin secretion, whereas the effects on other secretion mechanisms are still unknown. Our objective was to evaluate the early effects of BPD on nonglucose‐stimulated insulin secretion. In 16 morbid obese subjects (9 with T2DM and 7 with normal fasting glucose (NFG)), we measured insulin secretion after glucose‐dependent arginine stimulation test and after intravenous glucose tolerance test (IVGTT) before and 1 month after BPD. After surgery the mean weight lost was 13% in both groups. The acute insulin response during IVGTT was improved in T2DM after BDP (from 55 ± 10 to 277 ± 91 pmol/l, P = 0.03). A reduction of insulin response to arginine was observed in NFG, whereas opposite was found in T2DM. In particular, acute insulin response to arginine at basal glucose concentrations (AIR_basal) was reduced but insulin response at 14 mmol/l of plasma glucose (AIR₁₄) was increased. Therefore, after BPD any statistical difference in AIR₁₄ between NFG and T2DM disappeared (1,032 ± 123 for NFG and 665 ± 236 pmol/l for T2DM, P = ns). The same was observed for Slope_AIR, a measure of glucose potentiation, reduced in T2DM before BPD but increased after surgery, when no statistically significant difference resulted compared with NFG (Slope_AIR after BPD: 78 ± 11 in NFG and 56 ± 18 pmol/l in T2DM, P = ns). In conclusion, in obese T2DM subjects 1 month after BPD we observed a great improvement of both glucose‐ and nonglucose‐stimulated insulin secretions. The mechanisms by which BDP improve insulin secretion are still unknown.     

The effect of insulin on net lipid oxidation predicts worsening of insulin resistance and development of type 2 diabetes mellitus

Suppression of lipid oxidation (L(ox)) by insulin is impaired in obesity and type 2 diabetes mellitus (T2DM). Here we tested whether high L(ox) represents a primary or acquired characteristic in the pathogenesis of T2DM. Hood-indirect calorimetry was performed under postabsorptive conditions and during a two-step hyperinsulinemic euglycemic clamp (insulin infusion rates in mU.m(-2).min(-1): 40 low and 400 high) in 465 Pima Indians: 317 with normal glucose tolerance (NGT), 117 with impaired glucose tolerance (IGT), and 31 with T2DM. The predictive effect of net lipid oxidation (L(ox)) on development of T2DM was assessed in 296 subjects (51 of whom developed T2DM), whereas the predictive effect of L(ox) on followup changes in insulin-mediated glucose disposal (M) and acute insulin response (AIR) was studied in 190 subjects with NGT at baseline. Cross-sectionally, after adjustment for age, sex, body fat (BF), and M low, L(ox) low was increased in T2DM compared with NGT and IGT subjects (P < 0.05). Prospectively, after adjustment for followup duration, age, sex, BF, M, and AIR, increased clamp L(ox) predicted T2DM [hazard rate ratios (95% CI): L(ox) low, 1.5 (1.1, 2.0), P < 0.01; L(ox) high, 1.3 (1.0, 1.8), P = 0.05]. High L(ox) low at baseline was also associated with subsequent worsening of M low (P = 0.04). These data indicate that the inability of insulin to suppress L(ox) may represent an early risk marker for insulin resistance and T2DM that is independent of adiposity, acute insulin secretion, and insulin action on glucose uptake.     

Restoration of acute insulin response in T2DM subjects 1 month after biliopancreatic diversion

Objective: Biliopancreatic diversion (BPD) restores normal glucose tolerance in a few weeks in morbid obese subjects with type 2 diabetes, improving insulin sensitivity. However, there is less known about the effects of BPD on insulin secretion. We tested the early effects of BPD on insulin secretion in obese subjects with and without type 2 diabetes. Methods and Procedures: Twenty‐one consecutive morbid obese subjects, 9 with type 2 diabetes (T2DM) and 12 with normal fasting glucose (NFG) were evaluated, just before and 1 month after BPD, by measuring body weight (BW), glucose, adipocitokines, homeostasis model assessment of insulin resistance (HOMA‐IR), acute insulin response (AIR) to e.v. glucose and the insulinogenic index adjusted for insulin resistance ([ΔI5/ΔG5]/HOMA‐IR). Results: Preoperatively, those with T2DM differed from those with NFG in showing higher levels of fasting glucose, reduced AIR (57.9 ± 29.5 vs. 644.9 ± 143.1 pmol/l, P < 0.01) and reduced adjusted insulinogenic index (1.0 ± 0.5 vs. 17.6 ± 3.9 1/mmol², P < 0.001). One month following BPD, in both groups BW was reduced (by ～11%), but all subjects were still severely obese; HOMA‐IR and leptin decreased significanlty, while high‐molecular weight (HMW) adiponectin and adjusted insulinogenic index increased. In the T2DM group, fasting glucose returned to non‐diabetic values. AIR did not change in the NFG group, while in the T2DM group it showed a significant increase (from 58.0 ± 29.5 to 273.8 ± 47.2 pmol/l, P < 0.01). In the T2DM group, the AIR percentage variation from baseline was significantly related to changes in fasting glucose (r = 0.70, P = 0.02), suggesting an important relationship exists between impaired AIR and hyperglycaemia. Discussion: BPD is able to restore AIR in T2DM even just 1 month after surgery. AIR restoration is associated with normalization of fasting glucose concentrations.     

SGLT-2 Inhibitor Therapy Added to GLP-1 Agonist Therapy in the Management of T2DM

Objective: To assess the real-world efficacy and safety of canagliflozin therapy added to type 2 diabetes mellitus (T2DM) patients who have received a minimum 1 year of glucagon-like peptide-1 (GLP-1) agonist therapy.Methods: This pre-post observational study assessed the efficacy and safety of canagliflozin in a group of T2DM patients from a community endocrinology practice who received GLP-1 agonist therapy for a minimum of 12 months. The primary study outcome was change in mean glycated hemoglobin (HbA1c) level from baseline. Secondary endpoints included changes in average weight, and comparison of the percentage of patients obtaining an HbA1c <7%.Results: A total of 75 patients met all the study criteria. Baseline patient characteristics were as follows: average age, 58 ± 9 years; mean duration of T2DM, 14 ± 6 years; 56% male; 92% Caucasian; baseline body mass index (BMI), 39.4 ± 9.4 kg/m²; and mean baseline HbA1c, 7.94 ± 0.69%. HbA1c and weight were significantly reduced by 0.39% and 4.6 kg, respectively. Adverse effects were reported by 13 (17.3%) patients, including 4 (5.3%) who discontinued canagliflozin because of adverse reactions.Conclusion: Canagliflozin was generally well tolerated and significantly further reduced mean HbA1c levels and body weight in patients with T2DM when added to GLP-1 regimen.Abbreviations:BP = blood pressureBUN = blood urea nitrogenCANTATA = Canagliflozin Treatment and Trial AnalysisDBP = diastolic blood pressureDKA = diabetic ketoacidosisDPP-4 = dipeptidyl peptidase-4EMR = electronic medical recordFDA = Food and Drug AdministrationGFR = glomerular filtration rateGLP-1 = glucagon-like peptide-1HbA1c = glycated hemoglobinHDL-C = high-density lipoprotein cholesterolLDL-C = low-density lipoprotein cholesterolSCr = serum creatinineSGLT-2 = sodium glucose cotransporter 2T2DM = type 2 diabetes mellitusTZD = thiazolidinedioneUTI = urinary tract infection     

1,5-Anhydroglucitol and Neonatal Complications in Pregnancy Complicated by Diabetes

Objective: To determine the association of 1,5-anhydroglucitol (1,5-AG) with neonatal birth weight (NBW) and neonatal hypoglycemia (+NH) in pregnancies complicated by diabetes.Methods: We assessed a retrospective cohort of 102 females, 17 with gestational diabetes (GDM), 48 with type 1 diabetes mellitus (T1DM), and 37 with type 2 diabetes mellitus (T2DM). 1,5-AG and glycated hemoglobin A1C (A1C) values throughout pregnancy were extracted. Linear regression was used to assess their association with NBWs z-scores adjusting for maternal age, ethnicity and body mass index (BMI). +NH was defined by a note in the infant record, glucose <1.7 mmol/L in the first 24 h, or <2.5 mmol/L in the first 48 h after birth. A t test or Welch's approximate t test was used to compare the mean 1,5-AG and A1C of mothers with +NH versus those without (-NH), adjusted for gestational age and analyzed by diabetes type and across trimesters.Results: Mean 1,5-AG significantly differed across groups: T1DM 3.77 ± 2.82 μg/mL, T2DM 5.73 ± 4.38 μg/mL, GDM 8.89 ± 4.39 μg/mL (P<.0001), suggesting less glucose exposure in GDM relative to T1DM or T2DM. A negative linear association was found between mean 1,5-AG and z-scores (R= -0.28, P = .005. In contrast, the association between mean A1C and z-scores was weaker (R = 0.15, P = .14). The mean 1,5-AG tended to be lower in the +NH cohort versus -NH (P = .08), and this was statistically significant (P = .01) among subjects with GDM.Conclusion: The association of 1,5-AG with complications related to glycemic exposure supports the notion of its utility as an adjunct glycemic biomarker in pregnancies complicated by diabetes and across trimesters.Abbreviations: 1,5-AG = 1,5-anhydroglucitol A1C = glycated hemoglobin A1C BMI = body mass index CGM = continuous glucose monitoring GDM = gestational diabetes mellitus LGA = large for gestational age MICC = maternal and infant care unit NBW = neonatal birth weight NH = neonatal hypoglycemia PPH = postprandial hyperglycemia SMBG = self-monitoring of blood glucose T1DM = type 1 diabetes mellitus T2DM = type 2 diabetes mellitus     

The Efficacy and Safety of Co-Administration of Sitagliptin With Metformin in Patients With Type 2 Diabetes at Hospital Discharge

Objective: Few randomized controlled trials have focused on the optimal management of patients with type 2 diabetes (T2D) during the transition from the inpatient to outpatient setting. This multicenter open-label study explored a discharge strategy based on admission hemoglobin A1c (HbA1c) to guide therapy in general medicine and surgery patients with T2D.Methods: Patients with HbA1c ≤7% (53 mmol/mol) were discharged on sitagliptin and metformin; patients with HbA1c between 7 and 9% (53–75 mmol/mol) and those >9% (75 mmol/mol) were discharged on sitagliptinmetformin with glargine U-100 at 50% or 80% of the hospital daily dose. The primary outcome was change in HbA1c at 3 and 6 months after discharge.Results: Mean HbA1c on admission for the entire cohort (N = 253) was 8.70 ± 2.3% and decreased to 7.30 ± 1.5% and 7.30 ± 1.7% at 3 and 6 months (P<.001). Patients with HbA1c <7% went from 6.3 ± 0.5% to 6.3 ± 0.80% and 6.2 ± 1.0% at 3 and 6 months. Patients with HbA1c between 7 and 9% had a reduction from 8.0 ± 0.6% to 7.3 ± 1.1% and 7.3 ± 1.3%, and those with HbA1c >9% from 11.3 ± 1.7% to 8.0 ± 1.8% and 8.0 ± 2.0% at 3 and 6 months after discharge (both P<.001). Clinically significant hypoglycemia (<54 mg/dL) was observed in 4%, 4%, and 7% among patients with a HbA1c <7%, 7 to 9%, and >9%, while a glucose <40 mg/dL was reported in <1% in all groups.Conclusion: The proposed HbA1c-based hospital discharge algorithm using a combination of sitagliptin-metformin was safe and significantly improved glycemic control after hospital discharge in general medicine and surgery patients with T2D.Abbreviations: BG = blood glucose; DPP-4 = dipeptidyl peptidase-4; eGFR = estimated glomerular filtration rate; HbA1c = hemoglobin A1c; T2D = type 2 diabetes