Clinical Recognition and Management of Patients with Prediabetes

Objective: Early identification and management of prediabetes is critical to prevent progression to diabetes. We aimed to assess whether prediabetes is appropriately recognized and managed among patients with impaired fasting glucose (IFG).Methods: We carried out an observational study of Olmsted County residents evaluated at the Mayo Clinic between 1999–2017. We randomly selected 108 subjects with biochemical criteria of IFG and 105 normoglycemic subjects. We reviewed their health records at baseline (1999–2004) and during follow up (2005–2017) collecting demographic and clinical data including vitals, diagnoses, laboratory, and medications associated with cardiovascular comorbidities. The main outcome was documentation of any recognition of prediabetes and management recommendations (lifestyle changes and/or medications).Results: At baseline (1999–2004), 26.85% (29/108) of subjects with IFG were recognized as having prediabetes, and of these 75.86% (22/29) received management recommendations with 6.9% (2/29) getting metformin. During follow-up (2005–2017), 26.67% (28/105) of initial cohort of normoglycemic subjects developed incident IFG and of these, 85.71% (24/28) were recognized as having prediabetes, and 58.33% (14/24) received management recommendations. During the entire study period, 62.50% (85/136) were recognized as having prediabetes of which 75.29% (64/85) had documented management recommendations. High body mass index (BMI) (≥35) was associated with increased recognition (odds ratio &lsqb;OR] 3.66; confidence interval &lsqb;CI] 1.065, 12.500; P = .0395), and normal BMI (<25) was associated with a lack of recognition (OR 0.146; CI 0.189, 0.966; P = .0413).Conclusion: Despite evidence supporting the efficacy of lifestyle changes and medications in managing prediabetes, this condition is not fully recognized in routine clinical practice. Increased awareness of diagnostic criteria and appropriate management are essential to enhance diabetes prevention.Abbreviations: BMI = body mass index; CI = confidence interval; EHR = electronic health records; FBG = fasting blood glucose; IFG = impaired fasting glucose; IGT = impaired glucose tolerance; OR = odds ratio     

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     

Role of Insulin Sensitizers on Cardiovascular Risk Factors in Polycystic Ovarian Syndrome: A Meta-Analysis

Objective: Polycystic ovarian syndrome (PCOS) is associated with an increase in cardiovascular (CV) risk factors such as insulin resistance, with accompanying hyperinsulinemia and hyperlipidemia, which are predisposing factors for type 2 diabetes mellitus and CV disease. The aim of this meta-analysis is to examine the effect of insulin sensitizers on clinical and biochemical features of PCOS and risk factors for CV disease.Methods: A systematic literature review was conducted, and randomized controlled clinical trials were identified by a search of bibliographic databases: Medline database (from 1966 forward), EMBASE (January 1985 forward), and Cochrane Central Register of Controlled Trials. Reviews of reference lists further identified candidate trials. Data was independently abstracted in duplicate by 2 investigators using a standardized data-collection form. Articles without a comparison group and randomization allocation were excluded. Reviewers worked independently and in duplicate to determine the methodological quality of trials, then collected data on patient characteristics, interventions, and outcomes.Results: Of 455 studies, 44 trials were eligible. A random effects model was used. Significant unadjusted results favoring treatment with insulin sensitizers were obtained for body mass index (BMI) (effect size [ES] of 0.58), waist to hip ratio (WHR) (ES of 0.02), low-density-lipoprotein cholesterol (LDL-C) (ES of 0.11), fasting insulin (ES of 2.82), fasting glucose (ES of 0.10), free testosterone (ES of 1.88), and androstenedione level (ES of 0.76).Conclusion: Treatment with insulin sensitizers in women with PCOS results in improvement in CV factors such as BMI, WHR, LDL-C, fasting insulin, glucose, free testosterone, and androstenedione.Abbreviations: BMI = body mass index CI = confidence interval CVD = cardiovascular disease DM = diabetes mellitus EE = ethinyl estradiol ES = effect size FSH = follicle-stimulating hormone GnRH = gonadotropin-releasing hormone HDL = high-density lipoprotein HDL-C = high-density-lipoprotein cholesterol HR = hazard ratio IR = insulin resistance LDL = low-density-lipoprotein LDL-C = low-density-lipoprotein cholesterol LH = luteinizing hormone PCOS = polycystic ovarian syndrome TGs = triglycerides TZD = thiazolidinedione WHR = waist to hip ratio     

Application Of The Aace/Ace Advanced Framework For The Diagnosis Of Obesity And Cardiometabolic Disease Staging In A General Population From 3 Regions Of Venezuela: The Vemsols Study Results

Objective: To determine the prevalence of obesity according to the American Association of Clinical Endocrinologists/American College of Endocrinology (AACE/ACE) framework based on a complications-centric model with further application of the Cardiometabolic Disease Staging (CMDS) system in a Venezuelan population.Methods: A total of 1,320 adults were randomly selected from 3 regions. The AACE/ACE framework definitions were as follows: overweight, body mass index (BMI) 25 to 29.9 kg/m² and no obesity-related complications (ORC); obesity stage 0, BMI ≥30 and no ORC; stage 1, BMI ≥25 and 1 or more mild-to-moderate ORC; and stage 2, BMI ≥25 and 1 or more severe ORC. CMDS definitions were as follows: stage 0, no metabolic syndrome (MS) components; stage 1, 1 to 2 MS components without impaired fasting glucose (IFG); stage 2, IFG or ≥3 MS components but without IFG; stage 3, IFG and MS; and stage 4, type 2 diabetes (T2D) or cardiovascular disease.Results: The mean age was 44.8 ± 0.4 years, and 68.5% were female. The prevalence of obesity according to the AACE/ACE framework was 63.1%: overweight 3.0% (95% confidence interval &lsqb;CI]: 2.1–3.9); obesity stage 0: 0.1% (0.07–0.27); obesity stage 1: 26.6% (24.2–29.0); and obesity stage 2: 36.4% (33.8–39.0). Most subjects with a BMI <25 were CMDS 0 or 1. In those with BMI ≥ 25, only 4.6% were CMDS 0. The prevalence of obesity according to the World Health Organization (WHO, BMI ≥30) was 29.3% (24.7–33.7).Conclusion: In a general population study, applying the AACE/ACE framework for obesity and CMDS increased the detection of ORC and therefore higher risk subjects compared to classic anthropometric measurements.Abbreviations: AACE = American Association of Clinical Endocrinologists; ACE = American College of Endocrinology; BMI = body mass index; CMDS = Cardiometabolic Disease Staging; DALY = disability-adjusted life years; LA = Latin America; MS = metabolic syndrome; ORC = obesity-related complications; WC = waist circumference; WHO = World Health Organization     

Effect of High-Dose Vitamin D Repletion on Glycemic Control in African-American Males with Prediabetes and Hypovitaminosis D

Objective: This double-blind, randomized, controlled trial evaluated whether 12 months of high-dose vitamin D2 supplementation improved insulin sensitivity and secretion and glycemic status.Methods: African-American males (AAM) with prediabetes (glycosylated hemoglobin [A1C] 5.7-6.4%), hypovitaminosis D (25-hydroxyvitamin D [25OHD] 5-29 ng/mL), and prevalent medical problems were supplemented with vitamin D3 (400 IU/day) and then randomized to weekly placebo or vitamin D2 (50,000 IU). The primary outcome was the change in oral glucose insulin sensitivity (OGIS, from an oral glucose tolerance test [OGTT]) after 12 months of treatment. Secondary outcomes included other glycemic indices, A1C, and incident diabetes.Results: Baseline characteristics were similar in vitamin D-supplemented (n = 87) and placebo (n = 86) subjects completing the trial with average concentrations 14.4 ng/mL, 362 mL × min^-1 × m^-2, and 6.1% for 25OHD, OGIS and A1C, respectively. After 12 months, the vitamin D-supplemented group had a change in serum 25OHD +35 versus +6 ng/mL for placebo, P<.001; OGIS +7.8 versus -16.0 mL × min^-1 × m^-2 for placebo, P = .026; and A1C -0.01 versus +0.01% for placebo, P = .66. Ten percent of subjects in both groups progressed to diabetes. A posthoc analysis of participants with baseline impaired fasting glucose (IFG) showed that more subjects in the vitamin D subgroup (31.6%) than placebo (8.3%) returned to normal glucose tolerance, but the difference did not reach significance (P = .13).Conclusion: The trial does not provide evidence that 12 months of high-dose D2 repletion improves clinically relevant glycemic outcomes in subjects with prediabetes and hypovitaminosis D (NCT01375660).Abbreviations: AAM = African-American males A1C = glycosylated hemoglobin BMI = body mass index D2 = ergocalciferol D3 = cholecalciferol IFG = impaired fasting glucose IGT = impaired glucose tolerance JBVAMC = Jesse Brown VA Medical Center OGIS = oral glucose insulin sensitivity index OGTT = oral glucose tolerance test 25OHD = 25-hydroxyvitamin D VHA = Veterans Health Administration     

Serum Gamma-Glutamyltransferase is Associated with Impaired Fasting Glucose in Chinese Adults: The Cardiometabolic Risk in Chinese (CRC) Study

Recently, several studies found raised serum γ-glutamyltransferase (GGT), and traditional marker of liver damage was associated with the risk of type 2 diabetes. The purpose of this study was to investigate the relationship between GGT and impaired fasting glucose (IFG), and evaluate the modification effects of age, BMI, prehypertension, and lipids in a large sample of Chinese adults. The study samples are from a community-based health examination survey in China. The sample for our analysis included 7,309 participants. IFG was defined as FBG from 6.1 to 7.0 mmol/L. Serum GGT, lipids, blood pressure, and glucose were measured. The odds ratios (ORs, 95 % CI) of IFG across increasing quintiles of GGT were 1.00, 0.91 (0.49–1.72), 1.27 (0.68–2.38), 2.31 (1.29–4.15), and 2.42 (1.32–4.42) (P for trend < 0.0001), adjusting for age, sex, BMI, blood pressure, glucose, and lipids. We found significant interactions between age, BMI, and GGT on IFG risk. When the joint effects were examined, we found an additional effect of triglycerides (TG) and GGT levels on IFG. Our data indicate that serum GGT concentration was associated with the risk of IFG, and the association was modified by TG level.     

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     

Gestational Weight Gain as an Independent Risk Factor for Macrosomia in Women with Intermediate State Gestational Blood Glucose

Objective: Macrosomia is closely associated with gestational diabetes mellitus (GDM) but its relationship with maternal intermediate state gestational blood glucose (ISGBG; normal fasting blood glucose and 7.8 mmol/L <1 hour blood glucose &lsqb;BG] <10 mmol/L or 6.7 mmol/L <2 hour BG <8.5 mmol/L) is unclear. Here, we analyzed the clinical characteristics and pregnancy outcomes and explored risk factors for macrosomia in women with ISGBG.Methods: A total of 847 women with normal glucose tolerance gestation, 330 with ISGBG, and 99 with GDM were included. Maternal and fetal clinical data were collected and 3-point BG following oral glucose tolerance test, fasting insulin, glycated hemoglobin, and blood lipids profile were measured.Results: The incidence rate of macrosomia among the neonates of women with ISGBG was as high as 10.9%. In the ISGBG group, prepregnancy body mass index (BMI), gestational weight gain (GWG) and the proportion of women with excessive GWG (eGWG) were significantly higher in women with macrosomia compared with those who delivered a normal weight neonate. In women with ISGBG, neonate weight was positively correlated with maternal prepregnancy weight (r = 0.183, P<.01), prepregnancy BMI (r = 0.135, P<.01), and GWG (r = 0.255, P<.01), and negatively correlated with high-density lipoprotein cholesterol (r = -0.172, P<.01). Nonetheless, only eGWG was an independent risk factor (odds ratio = 3.18, 95% confidence interval = 1.26 to 7.88, P<.05) for macrosomia. The risk of macrosomia in pregnant women with prepregnancy BMI <25 kg/m² or BMI ≥25 kg/m² and eGWG was 3.39 and 3.27 times, respectively.Conclusion: The incidence rate of macrosomia is increased in women with ISGBG and eGWG is the strongest independent risk factor. In order to reduce the risk for macrosomia, timely lifestyle intervention to promote appropriate weight gain during pregnancy deserves evaluation.Abbreviations: AUC = area under the curve; BG = blood glucose; 1 hour BG = 1 hour blood glucose after OGTT; 2 hour BG = 2 hour blood glucose after OGTT; BMI = body mass index; CI = confidence interval; eGWG = excessive gestational weight gain; FBG = fasting blood glucose; FINS = fasting insulin; GDM = gestational diabetes mellitus; HbA1c = glycated hemoglobin; HDL-C = high-density lipoprotein cholesterol; HOMA-IR = homeostasis model assessment of insulin resistance index; ISGBG = intermediate state gestation blood glucose; LDL-C = low-density lipoprotein cholesterol; Ln = natural logarithm; MLBW = mature low birth weight; NGTG = normal glucose tolerance gestation; OGTT = oral glucose tolerance test; OR = odds ratio; SD = standard deviation     

The Diabetes Epidemic in China: An Integrated Review of National Surveys

Objective: To review trends in the prevalence and incidence of diabetes mellitus (DM) and related risk factors in China.Methods: We searched the literature using PubMed, China Knowledge Resource Integrated Database, and China Wanfang Digital Database for large epidemiologic studies and national surveys.Results: During the past 30 years (1980–2010), 7 national diabetes mellitus surveys were conducted in China mainland, indicating that the prevalence of DM has increased 17-fold, from 0.67 to 11.6% of the population. The prevalence of impaired glucose regulation (IGR, including impaired fasting glucose and impaired glucose tolerance) also increased, from 2.09 in 1994 to 27.2% in 2010. There was no national representative study of the incidence of diabetes to date; the reported incidence of type 2 diabetes during past 25 years in several cohort studies varied (2.7 to 15.8 per 1,000 person-years). Potential risk factors which could have contributed to the increasing prevalence and incidence of DM and IGR in the Chinese population include social and economic development, urbanization, dietary pattern, and Westernized lifestyle. Further, genetic studies have suggested that unique inheritable risk factors in the Chinese population may increase the risk for DM when compared to Caucasians.Conclusion: DM and IGR have become epidemic in China. Public health strategies should focus on modifying lifestyle and dietary factors, particularly among those with a susceptible genetic background.Abbreviations:BMI = body mass indexDM = diabetes mellitusFBG = fasting blood glucoseGWAS = genome-wide association studyIGR = impaired glucose regulationIGT = impaired glucose toleranceOGTT = oral glucose tolerance testT2D = type 2 diabetesWC = waist circumferenceWHR = waist-hip ratio     

The Association Between Body Mass Index and Subclinical Thyroid Dysfunction in Different Sexes of Chinese

Objective: To study subclinical thyroid dysfunction (SCTD)—subclinical hyperthyroidism and subclinical hypothyroidism—in Chinese patients in relation to body mass index (BMI) and to determine whether a difference between sexes exists.Methods: This cross-sectional study recruited 13,503 healthy participants (8,345 male, 5,158 female) who participated in a health examination. Clinical data, including anthropometric measurements and serum parameters, were collected. The association between SCTD and the BMI of each sex was analyzed separately by stratifying the data by SCTD type and regarding BMI as a categorical or as a continuous variable in different models. The odds ratio of SCTD was calculated from binary logistic regression models.Results: The prevalence of both subclinical hyperthyroidism and subclinical hypothyroidism was significantly lower in males compared to females. For subclinical hypothyroidism, we found no significant association with BMI in females. In males, there was a significant negative relationship between BMI and subclinical hypothyroidism. For subclinical hyperthyroidism, we did not find any significant relationship with BMI in either sex after stratifying the data and treating BMI as a categorical or as a continuous variable.Conclusion: For subclinical hyperthyroidism, no significant effect was found in either sex. For subclinical hypothyroidism, high BMI was associated with lower rates of subclinical hypothyroidism in males, and no significant correlation was found in females. The mechanism of this sex-specific association between BMI and SCTD needs more verification.Abbreviations: ALT = alanine aminotransferase; AST = aspartate aminotransferase; BMI = body mass index; BUN = blood urea nitrogen; CI = confidence interval; Cr = creatinine; DBP = diastolic blood pressure; FG = fasting glucose; FT3 = free triiodothyronine; FT4 = free thyroxine; HDL = high-density lipoprotein; LDL = low-density lipoprotein; OR = odds ratio; SBP = systolic blood pressure; SCTD = subclinical thyroid dysfunction; TBIL = total bilirubin; TC = total cholesterol; TG = triglyceride; TSH = thyroid-stimulating hormone; UA = uric acid; WBC = white blood cell; WC = waist circumference     

Vitamin D,Parathyroid Hormone,and Serum Lipid Profiles in a Middle-Aged and Elderly Chinese Population

ObjectivesTo explore the associations of serum vitamin D and parathyroid hormone (PTH) levels with serum lipid profiles and the risk of hyperlipidemia in a middle-aged and elderly population.MethodsA population-based cross-sectional study was conducted in the spring of 2012 among 1,203 Chinese participants, aged 52 to 101 years. 25-Hydroxyvitamin D [25(OH)D] was measured by chemiluminescence assay. (PTH) levels were measured with an electrochemilumines-cence immunoassay (ECLIA) method.ResultsA total of 1,203 participants, including 526 women (43.7%), were evaluated in 2012. The median concentrations of serum 25(OH)D and PTH for the entire group were 17.3 ng/mL and 38.3 pg/mL, respectively. Serum 25(OH)D and PTH levels were not independently associated with serum total cholesterol, triglycerides, low-density lipoprotein (LDL) cholesterol and high-density lipoprotein (HDL) cholesterol levels in a multivariate adjusted linear regression analysis of 1,027 participants not receiving antihyperlipidemic treatment (P > .05). In logistic regression analyses, serum 25(OH)D and PTH lev-els were not associated with a risk of hyperlipidemia after adjustment for age, sex, heavy drinking, smoking, diabetes, obesity, family history of hyperlipidemia, body mass index (BMI), physical activity, glomerular filtration rate (GFR), fasting glucose, high-sensitivity Creactive protein (hsCRP), calcium, and hemoglobin.ConclusionsSerum 25(OH)D and PTH levels are not independently associated with serum lipid levels or an increased risk of hyperlipidemia in a middle-aged and elderly Chinese population. (Endocr Pract. 2014;20: 556-565)     

Association of the CD36 gene with impaired glucose tolerance, impaired fasting glucose, type-2 diabetes, and lipid metabolism in essential hypertensive patients

Essential hypertension is a common disorder that can increase the risk of type 2 diabetes (T2D). CD36 has been studied in patients with diabetes and hypertension extensively; however, few studies have focused on the relationship of the CD36 gene with impaired fasting glucose (IFG)/impaired glucose tolerance (IGT) or T2D in essential hypertension patients. To identify rs1049673 and rs1527483 in the CD36 gene conferring susceptibility to IFG/IGT and T2D, we conducted a case-control study in 1257 essential hypertension patients among the Han Chinese population (control: 676; IGT/IFG: 468; T2D: 113). We also evaluated the impact of two loci on insulin sensitivity, glucose tolerance and serum lipid. The major findings of this study were that rs1049673 was found associated with IFG/IGT and T2D in essential hypertension patients (Pco = 0.028; Pdom = 0.015). The rs1049673 G carriers showed significant higher Glu0 (βdom = 0.08 (0.01~0.16), Pdom = 0.045) and Lp(a) (βco = 0.04 (0.002~0.07), Pco = 0.041; βdom = 0.06 (0.01~0.12), Pdom = 0.032), and lower HDL by the linear regression with the adjustment for gender, age, BMI, and mean blood pressures. These findings provided evidence that the CD36 gene may play some role in the pathogenesis of IFG/IGT and T2D in essential hypertension patients.     

Anti-Obesity Pharmacotherapy and the Potential for Preventing Progression from Prediabetes to Type 2 Diabetes

Objective: Type 2 diabetes and its associated complications place heavy burdens on affected individuals, their caregivers, and society. The prevalence of type 2 diabetes is increasing worldwide. Attempts to combat this problem have been extended to the treatment of obesity and prevention of progression from prediabetes to type 2 diabetes. As such, weight loss is an important component of type 2 diabetes prevention. However, successful strategies for achieving sustained weight loss have remained elusive. Although lifestyle modification remains a cornerstone of this approach, it has become clear that changes to lifestyle alone will not suffice for many patients. A pragmatic approach includes consideration of pharmacotherapeutic options.Methods: This review discusses the different pharmacotherapeutic options for the treatment of obesity and prediabetes.Results: Approved anti-obesity therapies and antihyperglycemic agents associated with weight loss may prove effective earlier in the treatment paradigm, and other promising agents that are in clinical development for chronic weight management show promise for both weight reduction and a reduction in the risk of type 2 diabetes in high-risk individuals.Conclusion: Long-term evaluation of safety and efficacy is required for many of these agents before we can begin to optimize their use in clinical practice, but treatment choices for obese or prediabetic patients are increasing.Abbreviations: AACE = American Association of Clinical Endocrinologists ADA = American Diabetes Association AE = adverse event AMA = American Medical Association BMI = body mass index CI = confidence interval CR = controlled release DPP = Diabetes Prevention Program IFG = impaired fasting glucose IGT = impaired glucose tolerance FDA = Food and Drug Administration FPG = fasting plasma glucose GLP-1 = glucagon-like peptide-1 GLP-1 RA = glucagon-like peptide-1 receptor agonist HbA_1c= glycosylated hemoglobin ITT-LOCF = intention-totreat with last observation carried forward LS = least squares NB = naltrexone/bupropion OR = odds ratio PHEN = phentermine PYE = patient years of exposure PYY = peptide YY SGLT-2 = sodium glucose cotransporter 2 TPM = topiramate TZD = thiazolidinedione     

Association Of Peripheral 5-Hydroxyindole-3-Acetic Acid,A Serotonin Derivative,with Metabolic Syndrome and Low-Grade Inflammation

Objective: The constellation of metabolic abnormalities seen in metabolic syndrome (MetS) has been linked to atherosclerosis and adverse cardiovascular outcomes due to heightened inflammation. Accumulating evidence suggests that peripheral 5-hydroxyindole-3-acetic acid (5-HIAA), the derivative end-product of serotonin (5-HT), might be involved in the pathogenesis of obesity, and abnormal lipid and glucose metabolism. We examined the association between serum 5-HIAA concentrations and MetS and also highly sensitive C-reactive protein (hsCRP).Methods: We assessed 180 healthy adults (110 males and 70 females) in a cross-sectional setting. Anthropometric indices and blood pressure were measured, as were laboratory parameters including fasting 5-HIAA concentrations. The associations between 5-HIAA and individual components of MetS, as well as MetS as a single entity, were investigated with bivariate correlation and logistic regression analyses.Results: Eighty-nine individuals (49.4%) were diagnosed with MetS. Significant correlations were found between 5-HIAA concentrations and age (r = 0.184), waist circumference (r = 0.415), high-density lipoprotein (HDL) cholesterol (r = -0.148), systolic blood pressure (r = 0.374), diastolic blood pressure (r = 0.355), homeostasis model assessment of insulin resistance (r = 0.201), and hsCRP (r = 0.453) were found (P<.05 in all tests). In logistic regression, 5-HIAA was significantly associated with 4 MetS components including central obesity, raised triglycerides, raised blood pressure, and raised fasting plasma glucose (FPG) (P<.05). Moreover, 5-HIAA was a predictor of MetS as a single entity, and the relationship persisted after adjusting for hsCRP (odds ratio [OR] = 4.41, 95% confidence interval [CI]: 2.58-7.67, P<.001).Conclusion: Elevated concentrations of 5-HIAA are seen in individuals with MetS. Increased 5-HIAA is also associated with hsCRP, a marker of chronic lowgrade inflammation underlying MetS.Abbreviations: BMI = body mass index CI = confidence interval FI = fasting insulin FPG = fasting plasma glucose HbA1c = glycated hemoglobin HDL = high-density lipoprotein 5-HIAA = 5-hydroxyindole-3-acetic acid 5-HT = 5-hydroxytryptamine HOMA-IR = homeostatic model assessment of insulin resistance hsCRP = highly sensitive C-reactive protein LDL = low-density lipoprotein MetS = metabolic syndrome OR = odds ratio     

American Association of Clinical Endocrinologists and American College of Endocrinology – Clinical Practice Guidelines for Developing A Diabetes Mellitus Comprehensive Care Plan – 2015 — Executive Summary

The American Association of Clinical Endocrinologists/American College of Endocrinology Medical Guidelines for Clinical Practice are systematically developed statements to assist healthcare professionals in medical decision making for specific clinical conditions. Most of the content herein is based on literature reviews. In areas of uncertainty, professional judgment was applied. These guidelines are a working document that reflects the state of the field at the time of publication. Because rapid changes in this area are expected, periodic revisions are inevitable. We encourage medical professionals to use this information in conjunction with their best clinical judgment. The presented recommendations may not be appropriate in all situations. Any decision by practitioners to apply these guidelines must be made in light of local resources and individual patient circumstances.Abbreviations: A1C = hemoglobin A1c AACE = American Association of Clinical Endocrinologists ACCORD = Action to Control Cardiovascular Risk in Diabetes ACE = angiotensin-converting enzyme ADA = American Diabetes Association AER = albumin excretion rate ApoB = apolipoprotein B ARB = angiotensin II receptor blocker ASCVD = atherosclerotic cardiovascular disease BEL = best evidence level BMI = body mass index CDC = Centers for Disease Control and Prevention CDE = certified diabetes educator CGM = continuous glucose monitoring CKD = chronic kidney disease CPAP = continuous positive airway pressure CPG = clinical practice guideline CSI = continuous subcutaneous insulin infusion CVD = cardiovascular disease DPP-4 = dipeptidyl peptidase 4 DSME = diabetes self-management education DSPN = distal symmetric polyneuropathy EL = evidence level ESRD = end-stage renal disease FDA = U.S. Food and Drug Administration FPG = fasting plasma glucose GDM = gestational diabetes mellitus GFR = glomerular filtration rate GLP-1 = glucagon-like peptide 1 HBV = hepatitis B virus HDL-C = high-density lipoprotein cholesterol HR = hazard ratio ICU = intensive care unit IFG = impaired fasting glucose IGT = impaired glucose tolerance ISF = insulin sensitivity factor LDL-C = low-density lipoprotein cholesterol LDL-P = low-density lipoprotein particles MDI = multiple daily injections MNT = medical nutrition therapy NPH = neutral protamine Hagedorn OGTT = oral glucose tolerance test OSA = obstructive sleep apnea PG = plasma glucose POC = point-of-care PPG = postprandial glucose PTH = parathyroid hormone Q = clinical question R = recommendation RAAS = reninangiotensin-aldosterone system RCT = randomized controlled trial SFN = small-fiber neuropathy SGLT2 = sodium glucose cotransporter 2 SMBG = self-monitoring of blood glucose T1D = type 1 diabetes T2D = type 2 diabetes TZD = thiazolidinedione     

Successful treatment of prediabetes in clinical practice: targeting insulin resistance and β-cell dysfunction

ObjectiveTo determine the effectiveness of targeted pharmacologic interventions to reverse documented pathophysiologic abnormalities in prediabetes.MethodsPatients with impaired glucose tolerance (IGT) and/or impaired fasting glucose (IFG) were treated with insulin sensitizers (pioglitazone + metformin) or insulin sensitizers + exenatide on the basis of oral glucose tolerance testing-derived indices of insulin resistance and impaired b-cell function. Patients who declined pharmacologic therapy received lifestyle modification only.ResultsOne hundred five patients with IGT and/or IFG were treated with insulin sensitizers (pioglitazone + metformin) (n = 40), insulin sensitizers + exenatide (n = 47), or lifestyle modification only (n = 18). After a mean follow-up period of 8.9 months, the lifestyle modification group demonstrated no significant changes in fasting plasma glucose, plasma glucose area under the curve during oral glucose tolerance testing, insulin sensitivity, or b-cell function. In the pioglitazone + metformin group (24 hours off medication), fasting plasma glucose fell from 109 to 102 mg/dL; plasma glucose area under the curve decreased by 12.0%; insulin sensitivity and b-cell function improved by 42% and 50%, respectively (all P < .001); 14.3% converted to normal glucose tolerance; and no patient developed diabetes. In the pioglitazone + metformin + exenatide group (24 hours off medication), fasting plasma glucose fell from 109 to 98 mg/dL; plasma glucose area under the curve decreased by 21.2%; insulin sensitivity and b-cell function improved by 52% and 109%, respectively (all P < .001); 59.1% of patients with IGT reverted to normal glucose tolerance; and no patient developed diabetes.ConclusionsTargeted pathophysiologic therapy based on oral glucose tolerance test-derived measures of insulin sensitivity and b-cell function can be implemented in general internal medicine and endocrine practice and is associated with marked improvement in glucose tolerance and reversion of prediabetes to normal glucose tolerance in more than 50% of patients. (Endocr Pract. 2012;18: 342-350)     

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     

Insulin-Like Growth Factor Binding Protein 1 Predicts Insulin Sensitivity And Insulin Area-Under-The-Curve In Obese,Nondiabetic Adolescents

Objective: To compare fasting insulin-like growth factor binding protein 1 (IGFBP-1) to other fasting indices as a surrogate marker of insulin sensitivity and resistance calculated from a 3-hour oral glucose tolerance test (oGTT).Methods: Fasting IGFBP-1 and oGTT were performed at 0 (n = 77), 52 (n = 54), and 100 (n = 38) weeks in a study investigating metformin treatment of obesity in adolescents. Insulin area-under-the-curve (IAUC) and the composite insulin sensitivity index (CISI) calculated from the oGTT were compared to fasting IGFBP-1, homeostasis model assessment–insulin resistance, and corrected insulin release at the glucose peak (CIR_gp).Results: IGFBP-1 and the ratio of IGFBP-1 to fasting insulin were significantly correlated with indices based on timed sampling, including IAUC, CISI, and CIR_gp. In addition, a significant effect of IGFBP-1, but not IGFBP-1 to insulin at time zero, was observed for IAUC and CISI.Conclusion: Our results indicate that fasting IGFBP-1 may be a useful marker of insulin sensitivity and secretion.Abbreviations:CIR_gp = corrected insulin release at the glucose peakCISI = composite insulin sensitivity indexFSIVGTT = frequently sampled intravenous glucose tolerance testingHOMA-IR = homeostasis model assessmentinsulin resistanceIAUC = insulin area-under-the-curveIGFBP-1 = insulin-like growth factor binding protein 1INS₀ = insulin level at time zerooGTT = oral glucose tolerance testSi = insulin sensitivity indexWBISI = whole-body insulin sensitivity index     

Correlation of Increased Serum Adipsin with Increased Cardiovascular Risks in Adult Patients with Growth Hormone Deficiency

Objective: Adult growth hormone deficiency (AGHD) patients have an increased cardiovascular morbidity and mortality. Adipsin is an adipokine that is significantly correlated with metabolic disease, especially in people with obesity. The objective of our study was to compare AGHD patients with healthy subjects to evaluate whether adipsin levels are closely related to glycolipid metabolism and cardiovascular risks in AGHD patients.Methods: Our study included 88 AGHD patients and 88 age-, weight-, and body mass index (BMI)-matched healthy subjects. Anthropometric parameters such as BMI, waist circumference, and blood pressure were measured. Biochemical indicators such as serum adipsin, lipids, and fasting insulin levels were determined.Results: Adipsin levels in AGHD patients were significantly increased compared to levels of the control group (11,567.29 ng/mL, interquartile &lsqb;9,856.46 to 13,360.60 ng/mL]) versus (9,127.86 ng/mL, interquartile &lsqb;8,061.82 to 10,647.06 ng/mL], P = .000). Increased serum adipsin levels are correlated with cardiovascular risk factors such as a higher waist-to-hip ratio, serum lipids levels, and insulin resistance. Adipsin levels were inversely related to insulin-like growth factor 1 (IGF-1) (r = -0.6363, P<.0001) and insulin-like growth factor binding protein 3 levels (r = -0.498, P<.0001). The odds ratio (OR) for AGHD in the highest quartile was found to be 4.491 times the ratio in the lowest quartile (OR = 4.491, P = .048). Additionally, adipsin was found to be the most independent factor to influence IGF-1 levels in AGHD subjects.Conclusion: The serum levels of adipsin were significantly correlated with glucolipid metabolism disorder with a growth hormone deficiency status. Furthermore, serum levels of adipsin might be a good marker for the occurrence and development of cardiovascular diseases in AGHD patients.Abbreviations: AGHD = adult growth hormone deficiency; ASCVD = atherosclerotic cardiovascular disease; BMI = body mass index; DBP = diastolic blood pressure; FINS = fasting insulin; FPG = fasting plasma glucose; GH = growth hormone; HOMA-IR = homeostatic model to assess insulin resistance index; hsCRP = high-sensitivity C-reactive protein; IGF-1 = insulin-like growth factor 1; IGFBP-3 = insulin-like growth factor binding protein 3; LAP = lipid accumulation products; LDL = low-density lipoprotein; SBP = systolic blood pressure; TC = total cholesterol; TG = triglycerides; WC = waist circumference; WHR = waist-to-hip ratio; OR = odds ratio     

Nonalcoholic Fatty Liver Disease and Risk of Diabetes: A Prospective Study in China

Objective: We aimed to investigate whether liver steatosis severity affects the risk of developing diabetes in a large cohort study.Methods: We prospectively examined the association in 41,650 Chinese adults with negative hepatitis-B surface antigen who were free of alcohol consumption, diabetes, and liver cirrhosis at baseline. Cox proportional models were used to estimate the risk of diabetes after a mean of 3.6 years of follow-up. Nonalcoholic fatty liver disease (NAFLD) was assessed with hepatic ultrasonography. Elevated alanine transaminase (ALT) was defined as ALT concentrations >19 and >30 U/L in females and males, respectively. Diabetes was defined as a fasting glucose ³7.0 mmol/L or treatment with hypoglycemic medication.Results: Liver steatosis severity was significantly associated with higher risks of developing diabetes (adjusted hazard ratio [HR] for severe vs. without NAFLD = 2.66, 95% confidence interval [CI]: 2.17–3.25, P-trend<.001) and impaired fasting glucose (fasting glucose between 5.6 and 6.9 mmol/L, adjusted HR = 1.36, 95% CI: 1.16–1.59, P-trend<.001), as well as a faster increase rate of fasting glucose concentrations (P-trend<.001), during 3.6 years of follow-up. Elevated ALT was also associated with incident diabetes (HR = 1.12, 95% CI: 1.02–1.22), adjusting for NAFLD and other covariates.Conclusion: We observed a dose-response relationship between liver steatosis severity and increased diabetes risk, and ALT may predict incident diabetes independently of NAFLD.Abbreviations: ALT = alanine transaminase; BP = blood pressure; CI = confidence interval; HCV = hepatitis C virus; HR = hazard ratio; IFG = impaired fasting glucose; NAFLD = nonalcoholic fatty liver disease; ULN = upper limit of normal