Gut Microbiota,Prebiotics, Probiotics,and Synbiotics in Management of Obesity and Prediabetes: Review of Randomized Controlled Trials

Objective: To review the data from randomized controlled trials (RCTs) for the roles of microbiota, pre-, pro- and synbiotics in metabolic conditions (obesity, prediabetes, and diabetes mellitus type 2 [DM2]).Methods: Primary literature was reviewed on the topics including RCTs of pre-, pro- and synbiotics use for metabolic disease.Results: Gut bacteria (microbiota) benefit digestion and have multiple other functions. Microbiota could increase harvesting of energy from the food and cause subclinical inflammation seen in metabolic disorders. Diet-related interventions including prebiotics, probiotics, and synbiotics (combining pre-and probiotics) may benefit metabolic conditions. Prebiotics are complex carbohydrates (i.e., dietary fiber). Results of RCTs of prebiotics suggested a neutral effect on body weight, decreased fasting and postprandial glucose, and improved insulin sensitivity and lipid profile. Some inflammation markers were reduced, sometimes substantially (20–30%). RCTs for probiotics demonstrated significant but small effects on body weight (<3%) and metabolic parameters. The effect was seen mostly with fermented milk or yogurt compared to capsule form, consumption for at least 8 weeks, and use of multiple rather than a single bacterial strain. Changes in microbiota were seen at times with both pre- and probiotics. Pickled and fermented foods, particularly vegetables and beans, could serve as a dietary source of pre-, pro-, and synbiotics. These foods showed possible benefits for morbidity and mortality in prospective cohort studies.Conclusion: Pre-, pro-, and synbiotics could prove useful, but further research is needed to clarify their clinical relevance for the prevention and management of metabolic disease.Abbreviations:A1c = glycohemoglobin A1cCI = confidence intervalCVD = cardiovascular diseaseGMB = gut (large bowel) microbiotaDM2 = diabetes mellitus type 2HOMA-IR = homeostatic model assessment of insulin resistanceLDL = low-density lipoproteinLPS = lipopolysaccharideNAFLD = nonalcoholic fatty liver diseaseRCT = randomized controlled trialSMD = standardized mean differenceTG = triglycerides     

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     

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     

Family History of Diabetes is Associated with Increased Risk of Recurrent Diabetic Ketoacidosis in Pediatric Patients

Objective: To determine the relationship between family history of diabetes mellitus (DM) and diabetic ketoacidosis (DKA) recurrence in youth with established type 1 diabetes mellitus (T1DM).Methods: We performed a retrospective chart review of patients with DKA admitted to a pediatric hospital between January, 2009, and December, 2014. We compared patients with recurrent (≥2 admissions) and nonrecurrent DKA (1 admission) and investigated patient level factors, including family history, that may be associated with DKA recurrence in pediatric patients with established T1DM.Results: Of the 131 subjects in the study, 51 (39%) subjects were in the recurrence group. Age ≥15 years old, public health insurance, and family history of T1DM or type 2 diabetes mellitus were associated with recurrent DKA admissions in both univariable and multivariable analyses. Family history was associated with DKA recurrence, with an incidence rate ratio of 1.5 (95% confidence interval = 1.0 to 2.3; P = .03). The association was not explained by type of familial diabetes, first degree relative status, or whether the family member lived in the household.Conclusion: Recognition that a positive family history of DM may be associated with a higher risk for DKA recurrence in patients with established T1DM may allow for targeted education and focus on a previously unidentified population at increased risk for DKA. Understanding the mechanism underlying the effect of family history of diabetes on the rates of DKA in patients with established T1DM may allow for improved identification and education of patients who may be at risk for DKA recurrence.Abbreviations: CI = confidence interval; DKA = diabetic ketoacidosis; EHR = electronic health record; IBD = inflammatory bowel disease; IRR = incidence rate ratio; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus     

Similar Cardiovascular Outcomes Between Insulin Detemir and Insulin Glargine In Type 2 Diabetic Patients With Extremely Atherosclerotic Cardiovascular Disease Risks

Objective: The cardiovascular outcomes of insulin detemir in patients with type 2 diabetes mellitus (T2DM) after acute coronary syndrome (ACS) or acute ischemic stroke (AIS) are unclear. The aim of our real-life cohort study was to evaluate the cardiovascular outcomes of insulin detemir (IDet) versus insulin glargine (IGlar) in T2DM patients after ACS or AIS.Methods: A retrospective cohort study was conducted between June 1, 2005, and December 31, 2013, utilizing the Taiwan National Health Insurance Research Database. A total of 3,129 ACS or AIS patients were eligible for the analysis. Clinical outcomes were evaluated by comparing 1,043 subjects receiving IDet with 2,086 propensity score-matched subjects who received IGlar. The primary composite outcome included cardiovascular (CV) death, nonfatal myocardial infarction (MI) and nonfatal stroke.Results: The primary composite outcome occurred in 322 patients (30.9%) in the IDet group and 604 patients (29.0%) in the IGlar group (hazard ratio [HR], 1.12; 95% confidence interval [CI], 0.95 to 1.32) with a mean follow-up of 2.4 years. No significant differences were observed for CV death (HR, 1.09; 95% CI, 0.86 to 1.38), nonfatal MI (HR, 0.88; 95% CI, 0.66 to 1.19), and nonfatal stroke (HR, 1.15; 95% CI, 0.97 to 1.35). There were similar risks of all-cause mortality, hospitalization for heart failure and revascularization between the IDet group and the IGlar group (P = .647, .115, and .390 respectively).Conclusion: Compared with IGlar, in T2DM patients after ACS or AIS, IDet was not associated with increased risks of CV death, nonfatal MI, or nonfatal stroke.Abbreviations: ACS = acute coronary syndrome; AIS = acute ischemic stroke; ASCVD = atherosclerotic cardiovascular disease; CI = confidence interval; CV = cardiovascular; DKA = diabetic ketoacidosis; HHF = hospitalization for heart failure; HHS = hyperosmolar hyperglycemic state; HR = hazard ratio; IDet = insulin detemir; IGlar = insulin glargine; MI = myocardial infarction; NHIRD = National Health Insurance Research Database; PCI = percutaneous coronary intervention; PSM = propensity score matching; T2DM = type 2 diabetes mellitus     

The Effects of Perioperative Dexamethasone on Glycemic Control and Postoperative Outcomes

Objective: Perioperative glucocorticoids are commonly given to reduce pain and nausea in patients undergoing surgery. However, the glycemic effects of steroids and the potential effects on morbidity and mortality have not been systematically evaluated. This study investigated the association between perioperative dexamethasone and postoperative blood glucose, hospital length of stay (LOS), readmission rates, and 90-day survival.Methods: Data from 4,800 consecutive orthopedic surgery patients who underwent surgery between 2000 and 2016 within a single health system were analyzed retrospectively.Results: Patients with and without diabetes mellitus (DM) who were given a single dose of dexamethasone had higher rates of hyperglycemia during the first 24 hours after surgery as compared to those who did not receive dexamethasone (hazard ratio &lsqb;HR] was 1.81, and 95% confidence interval &lsqb;CI] was &lsqb;1.46, 2.24] for the DM cohort; HR 2.34, 95% CI &lsqb;1.66, 3.29] for the nonDM cohort). LOS was nearly 1 day shorter in patients who received dexamethasone (geometric mean ratio &lsqb;GMR] 0.79, 95% CI &lsqb;0.75, 0.83] for patients with DM; GMR 0.75, 95% CI &lsqb;0.72, 0.79] for patients without DM), and there was no difference in 90-day readmission rates. In patients without DM, dexamethasone was associated with a higher 90-day overall survival (99.07% versus 96.90%; P = .004).Conclusion: In patients with and without DM who undergo orthopedic surgery, perioperative dexamethasone was associated with a transiently higher risk of hyperglycemia. However, dexamethasone treatment was associated with a shorter LOS in patients with and without DM, and a higher overall 90-day survival rate in patients without DM, compared to patients who did not receive dexamethasone.Abbreviations: BMI = body mass index; CAD = coronary artery disease; CI = confidence interval; DM = diabetes mellitus; GMR = geometric mean ratio; HR = hazard ratio; IV = intravenous; LOS = length of stay; POD = postoperative day     

Altered Circulating Levels of Retinol Binding Protein 4 and Transthyretin in Relation to Insulin Resistance,Obesity, and Glucose Intolerance in Asian Indians

Objective: Retinol binding protein 4 (RBP4) has been implicated in metabolic disorders including type 2 diabetes mellitus (T2DM), but few studies have looked at transthyretin (TTR) with which RBP4 is normally bound to in the circulation. We report on the systemic levels of RBP4 and TTR and their associations with insulin resistance, obesity, prediabetes, and T2DM in Asian Indians.Methods: Age-matched individuals with normal glucose tolerance (NGT, n = 90), impaired glucose tolerance (IGT, n = 70) and T2DM (n = 90) were recruited from the Chennai Urban Rural Epidemiology Study (CURES). Insulin resistance was estimated using the homeostasis model assessment of insulin resistance (HOMA-IR). RBP4 and TTR levels were measured by enzyme-linked immunosorbent assay (ELISA).Results: Circulatory RBP4 and TTR levels (in μg/mL) were highest in T2DM (RBP4: 13 ± 3.9, TTR: 832 ± 310) followed by IGT (RBP4: 10.5 ± 3.2; TTR: 720 ± 214) compared to NGT (RBP4: 8.7 ± 2.5; TTR: 551 ± 185; P<.001). Compared to nonobese NGT individuals, obese NGT, nonobese T2DM, and obese T2DM had higher RBP4 (8.1 vs. 10.6, 12.1, and 13.2 μg/mL, P<.01) and TTR levels (478 vs. 737, 777, and 900 μg/mL, P<.01). RBP4 but not TTR was significantly (P<.001) correlated with insulin resistance even among NGT subjects. In regression analysis, RBP4 and TTR showed significant associations with T2DM after adjusting for confounders (RBP4 odds ratio [OR]: 1.107, 95% confidence interval [CI]: 1.008–1.216; TTR OR: 1.342, 95% CI: 1.165–1.547).Conclusion: Circulatory levels of RBP4 and TTR showed a significant associations with glucose intolerance, obesity, T2DM and RBP4 additionally, with insulin resistance.Abbreviations: BMI = body mass index CI = confidence interval HDL = high-density lipoprotein IGT = impaired glucose tolerance LDL = low-density lipoprotein NGT = normal glucose tolerance OGTT = oral glucose tolerance test OR = odds ratio RBP4 = retinol binding protein 4 T2DM = type 2 diabetes mellitus TTR = transthyretin WC = waist circumference     

Effects of Liraglutide 3.0 Mg on Weight and Risk Factors in Hispanic Versus Non-Hipanic Populations: Subgroup Analysis from Scale Randomized Trials

Objective: Scarce data exist on pharmacotherapy for obesity in Hispanic individuals. This post hoc analysis of pooled data from 4 phase 3a trials compared the efficacy and safety of liraglutide 3.0 mg versus placebo, as adjunct to a reduced-calorie diet and physical activity, in Hispanic versus non-Hispanic subgroups.Methods: We conducted the double-blind randomized, placebo-controlled trials in adults with a minimum body mass index (BMI) of 27 kg/m² with at least 1 comorbidity, or a minimum BMI of 30 kg/m², at clinical research sites worldwide. In this analysis, we investigated possible differences in treatment effects between 534 Hispanics (10.4% of the population) and 4,597 non-Hispanics (89.6%) through statistical tests of interaction between subgroups and treatment. Variables examined included mean and categorical weight change, cardiovascular risk markers, and safety data.Results: Both subgroups achieved clinically significant mean weight loss at end-of-treatment with liraglutide 3.0 mg versus placebo: Hispanics 7.0% versus 1.5%, treatment difference -5.1% (95% CI, -6.2 to -4.0); non-Hispanics 7.5% versus 2.3%, -5.2% (95% CI, -5.5 to -4.8). More individuals in both subgroups lost ≥5%, >10%, and >15% of their baseline weight with liraglutide 3.0 mg than with placebo. Efficacy endpoints generally did not vary with ethnicity (P>.05). Adverse events were comparable between ethnic subgroups, with more gastrointestinal disorders reported with liraglutide 3.0 mg than placebo.Conclusion: Efficacy and safety were largely similar between Hispanic and non-Hispanic subgroups. Results support that liraglutide 3.0 mg, used with a reduced-calorie diet and physical activity, can facilitate weight loss in Hispanic individuals.Abbreviations:A1c = glycated hemoglobinBMI = body mass indexCI = confidence intervalFPG = fasting plasma glucoseGLP-1 = glucagon-like peptide-1hsCRP = high-sensitivity C-reactive proteinSCALE = Satiety and Clinical Adiposity – Liraglutide Evidence in individuals with and without diabetesT2DM = type 2 diabetes mellitus     

Case Finding for Hypothyroidism Should Include Type 2 Diabetes and Metabolic Syndrome Patients: A Latin American Thyroid Society (LATS) Position Statement

Objective: Latin American Thyroid Society (LATS) Hypothyroidism Clinical Practice Guidelines recommend case finding of hypothyroid patients in multiple and different situations that agree with other Society guidelines. However, the detection of hypothyroidism in type 2 diabetes mellitus (T2DM) or metabolic syndrome (MetS) patients is not mentioned in particular. In the recent years, several basic and epidemiologic studies have appeared showing that a lower thyroid function and MetS/T2DM are associated. Hence, the aim of this review is to manifest the LATS position on the diagnosis of hypothyroidism in both MetS and T2DM patients.Methods: A search was made in PubMed using the following terms: “hypothyroidism” AND “diabetes” OR “metabolic syndrome.” The most relevant studies describing the prevalence and complications due to hypothyroidism in both MetS and T2DM patients were selected.Results: The current document reviews new information from studies that have shown that the prevalence of hypothyroidism is higher in T2DM patients (odds ratio &lsqb;OR], 3.45; 95% confidence interval &lsqb;CI], 2.5 to 4.7) and that diabetic complications are more prevalent in subclinical hypothyroidism (ScH). The incidence of T2DM is 1.09-fold higher with each doubling of thyroid-stimulating hormone (TSH) mIU/L (95% CI, 1.06 to 1.12), and the incidence of prediabetes increases 15% (hazard ratio, 1.15; 95% CI, 1.04 to 1.26) in patients with TSH >5 mIU/L. Similarly, MetS is more prevalent in ScH compared to euthyroid individuals (OR, 1.31; 95% CI, 1.08 to 1.60).Conclusion: Thyroid function is affected in MetS and T2DM, and hypothyroidism is more common in these patients. Diabetic complications are more frequent in ScH patients. Therefore, LATS now recommends aggressive case finding of hypothyroidism in both MetS and T2DM patients.Abbreviations: CI = confidence interval; GLUT4 = glucose transporter 4; HOMA-IR = homeostatic model assessment for insulin resistance; HR = hazard ratio; LATS = Latin American Thyroid Society; MetS = metabolic syndrome; OR = odds ratio; ScH = subclinical hypothyroidism; T2DM = type 2 diabetes mellitus; T3 = triiodothyronine; T4 = thyroxine; TSH = thyroid-stimulating hormone     

Patients Achieving Good Glycemic Control (HBA1c <7%) Experience A Lower Rate of Hypoglycemia With Insulin Degludec Than with Insulin Glargine: A Meta-Analysis of Phase 3A Trials

Objective: Meta-analysis to compare hypoglycemia rates of basal insulin degludec (IDeg) with insulin glargine (IGlar) in patients with diabetes achieving good glycemic control (hemoglobin A_1c [HbA_1c] <7% at end of trial).Methods: In a preplanned meta-analysis, patient data from 7 randomized, treat-to-target, 26- or 52-week trials in patients with type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) who administered IDeg (n = 2,899) or IGlar (n = 1,431) once daily were analyzed. Using a negative binomial regression model, this meta-analysis compared hypoglycemia rates in patients achieving HbA_1c <7% at end of trial with IDeg (n = 1,347) and IGlar (n = 697).Results: In all trials, IDeg was noninferior to IGlar in HbA_1c reduction from baseline. At end of trial, 2,044 patients (T2DM, n = 1,661; T1DM, n = 383) achieved HbA_1c <7%. The overall confirmed hypoglycemia rate, defined as plasma glucose <56 mg/dL or severe hypoglycemia if requiring assistance, was significantly lower with IDeg versus IGlar (estimated rate ratio [ERR] IDeg:IGlar, 0.86; 95% confidence interval [CI], 0.76 to 0.98). The nocturnal confirmed hypoglycemia rate, defined as occurring between midnight and 6:00 am, was significantly lower with IDeg (ERR, 0.63; 95% CI, 0.52 to 0.77). In the maintenance period (16 weeks onward when average insulin dose and glycemic levels stabilized), the overall confirmed hypoglycemia rate was significantly lower (ERR, 0.79; 95% CI, 0.68 to 0.92) and the nocturnal confirmed hypoglycemia rate was significantly lower (ERR, 0.57; 95% CI, 0.45 to 0.72) with IDeg versus IGlar.Conclusion: Patients with T1DM and T2DM achieved HbA_1c <7% with significantly lower rates of overall and nocturnal confirmed hypoglycemia with IDeg versus IGlar. The lower hypoglycemia rate with IDeg was more pronounced in the maintenance period.Abbreviations: ERR = estimated rate ratio; HbA_1c = hemoglobin A_1c; IDeg = insulin degludec; IGlar = insulin glargine; NPH = Neutral Protamine Hagedorn; PG = plasma glucose; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus     

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     

Prognostic Impact of Diabetes Mellitus on Overall Survival in a Nationwide Population-Based Cohort of Patients With Pancreatic Cancer

Objective: Diabetes mellitus (DM) is a risk factor for pancreatic cancer but its prognostic impact remains controversial. We aimed to investigate the association between long-standing DM and the risk of mortality.Methods: This population-based cohort study analyzed data from the national healthcare database in Taiwan. We identified all patients diagnosed with pancreatic cancer and excluded those who were diagnosed with DM with-in 2 years of the cancer diagnosis. Eligible patients were grouped into long-standing DM (>2 years) and nondiabetic controls, and were compared for overall survival using a Cox proportional hazard model. Sensitivity tests stratified by cancer stages (as indicated by specific treatment) were performed.Results: Patients with long-standing DM were significantly older (mean age, 71.38 years versus 66.0 years; P<.0001) and had a higher Charlson comorbidity index (9.53 versus 6.78; P<.0001) and diabetes comorbidity severity index (2.38 versus 0.82; P<.0001) compared with the non-DM controls. Although the unadjusted analysis showed a higher risk of mortality in the patients with long-term DM (crude hazard ratio &lsqb;HR], 1.26; 95% confidence interval &lsqb;CI], 1.20 to 1.33; P<.0001), the association became insignificant after adjustment for age, sex, and comorbidity index (adjusted HR, 1.01; 95% CI, 0.95 to 1.06, P = .84). Subgroup analyses also showed no association between long-term DM and mortality in various subgroups stratified by cancer treatment.Conclusion: After adjusting for associated comorbidities and complications, long-standing DM per se was not an independent prognostic factor for overall survival in this nationwide population-based cohort with pancreatic cancer.Abbreviations: CCI = Charlson Comorbidity Index; CI = confidence interval; DCSI = Diabetes Complication Severity Index; DM = diabetes mellitus; HR = hazard ratio; ICD = International Classification of Diseases; NHIRD = National Health Insurance Research Database; RCIPD = Registry for Catastrophic Illness Patient Database     

Risk Factors for Hypoglycemia in Inpatients with Total Parenteral Nutrition and Type 2 Diabetes: A Post HOC Analysis of the Insupar Study

Objective: Treatment of hyperglycemia with insulin is associated with increased risk of hypoglycemia in type 2 diabetes mellitus (T2DM) patients receiving total parenteral nutrition (TPN). The aim of this study was to determine the predictors of hypoglycemia in hospitalized T2DM patients receiving TPN.Methods: Post hoc analysis of the INSUPAR study, which is a prospective, open-label, multicenter clinical trial of adult inpatients with T2DM in a noncritical setting with indication for TPN.Results: The study included 161 patients; 31 patients (19.3%) had hypoglycemic events, but none of them was severe. In univariate analysis, hypoglycemia was significantly associated with the presence of diabetes with end-organ damage, duration of diabetes, use of insulin prior to admission, glycemic variability (GV), belonging to the glargine insulin group in the INSUPAR trial, mean daily grams of lipids in TPN, mean insulin per 10 grams of carbohydrates, duration of TPN, and increase in urea during TPN. Multiple logistic regression analysis showed that the presence of diabetes with end-organ damage, GV, use of glargine insulin, and TPN duration were risk factors for hypoglycemia.Conclusion: The presence of T2DM with end-organ damage complications, longer TPN duration, belonging to the glargine insulin group, and greater GV are factors associated with the risk of hypoglycemia in diabetic noncritically ill inpatients with parenteral nutrition.Abbreviations: ADA = American Diabetes Association; BMI = body mass index; CV% = coefficient of variation; DM = diabetes mellitus; GI = glargine insulin; GV = glycemic variability; ICU = intensive care unit; RI = regular insulin; T2DM = type 2 diabetes mellitus; TPN = total parenteral nutrition     

Metformin Use in Diabetes Prior to Hospitalization: Effects on Mortality in Covid-19

Objective: Although type 2 diabetes mellitus (T2DM) has been reported as a risk factor for coronavirus disease 2019 (COVID-19), the effect of pharmacologic agents used to treat T2DM, such as metformin, on COVID-19 outcomes remains unclear. Metformin increases the expression of angiotensin converting enzyme 2, a known receptor for severe acute respiratory syndrome coronavirus 2. Data from people with T2DM hospitalized for COVID-19 were used to test the hypothesis that metformin use is associated with improved survival in this population.Methods: Retrospective analyses were performed on de-identified clinical data from a major hospital in Wuhan, China, that included patients with T2DM hospitalized for COVID-19 during the recent epidemic. One hundred and thirty-one patients diagnosed with COVID-19 and T2DM were used in this study. The primary outcome was mortality. Demographic, clinical characteristics, laboratory data, diabetes medications, and respiratory therapy data were also included in the analysis.Results: Of these 131 patients, 37 used metformin with or without other antidiabetes medications. Among the 37 metformin-taking patients, 35 (94.6%) survived and 2 (5.4%) did not survive. The mortality rates in the metformin-taking group versus the non-metformin group were 5.4% (2/37) versus 22.3% (21/94). Using multivariate analysis, metformin was found to be an independent predictor of survival in this cohort (P = .02).Conclusion: This study reveals a significant association between metformin use and survival in people with T2DM diagnosed with COVID-19. These clinical data are consistent with potential benefits of the use of metformin for COVID-19 patients with T2DM.     

Effect of a single dose of des-glycinamide-[Arg8]vasopressin or oxytocin on cognitive processes in young healthy subjects.

A single dose of des-glycinamide-[Arg8]vasopressin (DGAVP, 2 mg intranasal) or oxytocin (OXT, 20 IU intranasal) was given to female and male volunteers, respectively, in a placebo-controlled double-blind trial. Memory, vigilance, attention, and mood were tested starting 10 minutes after treatment. The DGAVP dose improved delayed recognition of abstract words when measured 1 week after treatment and reduced the intercept of a memory comparison task (Sternberg paradigm). A trend was present for DGAVP and OXT to affect learning, i.e., storage processes of verbal memory in an opposite way; DGAVP improved, while OXT attenuated initial storage and the rate of storage. No treatment effects on visual memory and vigilance were found. Of the mood measures, vigor was reduced immediately after treatment with OXT.     

Effect of Gluten-FREE Diet on Metabolic Control and Anthropometric Parameters in Type 1 Diabetes with Subclinical Celiac Disease: A Randomized Controlled Trial

Objective: It is unclear whether the institution of gluten-free diet (GFD) is beneficial in patients with type 1 diabetes (T1DM) and subclinical celiac disease (CD). Our primary objective was to evaluate the effect of GFD on the frequency of hypoglycemia, in patients with T1DM and subclinical CD. Our secondary objective was to investigate the effect of GFD on height, weight, glycosylated hemoglobin (HbA1c), insulin dose requirement, and bone mineral homeostasis.Methods: We carried out a prospective open label randomized controlled trial (RCT). Patients with T1DM and subclinical CD were randomized to receive GFD or a normal diet for 1 year. The primary outcome was the frequency of hypoglycemic episodes (blood glucose <70 mg/dL) measured by self-monitoring of blood glucose (SMBG) at the sixth month of the study in the 2 groups.Results: Screening for CD was carried out in 320 T1DM patients. Thirty eligible patients were randomized to receive GFD (n = 15) or a normal diet (n = 15). The mean number of hypoglycemic episodes/month recorded by SMBG and the mean time spent in hypoglycemia measured by CGM (minutes) in the GFD group versus the non-GFD group at six months was 2.3 minutes versus 3.4 minutes (P = .5) and 124.1 minutes versus 356.9 minutes (P = .1), respectively. The mean number of hypoglycemic episodes/month significantly declined in the GFD group (3.5 episodes at baseline versus 2.3 episodes at the sixth month; P = .03). The mean HbA1c declined by 0.73% in the GFD group and rose by 0.99% in non-GFD group at study completion.Conclusion: This is the first RCT to assess the effect of GFD in T1DM and subclinical CD. A trend towards a decrease in hypoglycemic episodes and better glycemic control was seen in patients receiving GFD.Abbreviations: BMC = bone mineral content; BMI = body mass index; CD = celiac disease; CGM = continuous glucose monitoring; GFD = gluten-free diet; Hb = hemoglobin; HbA1c = glycosylated hemoglobin; iPTH = intact parathyroid hormone; RCT = randomized controlled trial; SMBG = self-monitoring of blood glucose; T1DM = type 1 diabetes mellitus; tTG-IgA = tissue transglutaminase immunoglobulin A     

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     

Regulation of Free Fatty Acid by Sitagliptin Monotherapy in DRUG-NAÏVE Subjects with Type 2 Diabetes

Objective: The aim of this study was to investigate the effects of sitagliptin on the regulation of free fatty acid (FFA) and other metabolic parameters in drug-naïve subjects with type 2 diabetes mellitus (T2DM).Methods: This was a prospective, nonrandomized, observational study. Drug-naïve subjects with T2DM received 25 to 50 mg/day sitagliptin monotherapy (n = 64). At 3 months, FFA and other metabolic parameters were compared with those at baseline. FFA was measured by colorimetry with enzymatic reactions. As a comparator, 12.5 to 25 mg/day alogliptin monotherapy was given to drug-naïve subjects with T2DM (n = 55).Results: Significant reductions in FFA (-13.2%, P<0.01) levels were observed with sitagliptin but not alogliptin. Both drugs showed similar glycemic efficacies. Significant correlations were observed between the changes (Δ) of FFA and Δglycated hemoglobin A1c (HbA1c), Dtotal cholesterol (TC), Δnon-high-density lipoprotein cholesterol (HDL-C), or Δlow-density lipoprotein cholesterol (LDL-C), and significant negative correlations were seen between ΔFFA and Δhomeostasis model assessment-B (HOMA-B), ΔC-peptide immunoreactivity (CPR)-index or Δbody mass index (BMI) in the sitagliptin group. The subjects in the sitagliptin group were further divided into 2 subgroups (n = 32 each) according to the changes of FFA (group B [above the median] ΔFFA = 23.1 %, P<.0005; group A [below the median] ΔFFA = -37.3 %, P<.00001). At baseline, FFA levels were significantly higher in group A versus group B (P<.001). Higher degrees of reductions of FBG (-14.6% vs. -9.3%, P<0.05) or HbA1c (-20.6% vs. -16.9%, P<.05), and increases of HOMA-B (52.7% vs. 38.3%, P<.03) or CPR-index (37.5% vs. 18.8%, P<.02) were observed in group A versus group B. Significant reductions of TC (-5.8%, P<.002), non-HDL-C (-7.8%, P<.001) or LDL-C (-6.3%, P<.02), and significant increases of C-peptide (11.3%, P<.05) were seen only in group A.Conclusion: Sitagliptin could downregulate high FFA levels. Subjects with reductions of FFA levels had better glycemic efficacies and higher degrees of enhancement of beta-cell function than others. Reductions of atherogenic cholesterols were seen in these populations.Abbreviations: CPR = C-peptide immunoreactivity; DPP-4 = dipeptidyl peptidase 4; FBG = fasting blood glucose; FFA = free fatty acid; HbA1c = glycated hemoglobin A1c; HDL-C = high-density lipoprotein cholesterol; HOMA-R = homeostasis model assessment-R; HOMA-B = homeostasis model assessment-B; non-HDL-C = non-HDL-cholesterol; LDL-C = low-density lipoprotein cholesterol; TC = total cholesterol; T2DM = type 2 diabetes; TG = triglyceride; UA = uric acid     

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