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Context Observational studies suggest that low vitamin D status may be a risk factor for cancer. Objective In a population with prediabetes and overweight/obesity that is at higher risk of cancer than the general population, we sought to determine if vitamin D supplementation lowers the risk of cancer and precancers. Methods The Vitamin D and type 2 diabetes (D2d) cancer outcomes study (D2dCA) is an ancillary study to the D2d study, which was conducted at 22 academic medical centers in the United States. Participants had prediabetes and overweight/obesity and were free of cancer for the previous 5 years. Participants were randomized to receive vitamin D3 4000 IU daily or placebo. At scheduled study visits (4 times/year), cancer and precancer events were identified by questionnaires. Clinical data were collected and adjudicated for all reported events. Cox proportional hazard models compared the hazard ratio (HR) of incident cancers and precancers between groups. Results Over a median follow-up period of 2.9 years, among 2385 participants (mean age 60 years and 25-hydroxyvitamin D 28 ng/mL), there were 89 cases of cancer. The HR of incident cancer for vitamin D vs placebo was 1.07 (95% CI 0.70, 1.62). Of 241 participants with incident precancers, 239 had colorectal adenomatous polyps. The HR for colorectal polyps for vitamin D vs placebo was 0.83 (95% CI 0.64, 1.07). Conclusion In the D2d population of participants with prediabetes and overweight/obesity, not selected for vitamin D insufficiency, vitamin D supplementation did not have a significant effect on risk of incident cancer or colorectal polyps.

Background: GLP1s are ineffective for a subset of patients. Differentiating between responders and non-responders based on baseline variables would allow for an individualized approach to managing diabetes. Methods: A retrospective analysis of 324 veterans at the Omaha VA with type 2 diabetes on a GLP1 agonist to evaluate effectiveness quantified by reductions in HbA1c (>/= 0.5%) body weight (>/= 3%) and insulin doses (>/= 10% decrease or off insulin) relative to baseline was done with the outcome being a complete response in all three. Associations between categorical variables of interest and the dichotomous outcome were assessed using Chi-Square and t-tests. A logistic regression was run for the dichotomous outcome and included variables with bivariate p-values less than 0.20. Results: In terms of, response to one, two or all outcome variables, Dulaglutide had, 22 (38.6%) , 21 (36.8%) and 9 (15.8%) ; Liraglutide had 45 (34.6%) , 44 (33%) and 33 (25.3%) ; Semaglutide had 24 (17.5%) , 64 (46.7%) and 43 (31.4%) . Patients on Semaglutide trended towards having higher odds of a complete response (odds 2.45 95% CI 0.93, 6.48) compared to Dulaglutide. Older patients had a higher odds of a complete response (odds 1.95% CI 1.01, 1.p=0.02 Table 1) . Variables including baseline A1c, insulin dose, BMI, Metformin, and eGFR were not significantly associated with a complete response to GLP1. Conclusion: Age and the type of GLP1 are variables that determine effectiveness. Disclosure S.Kunwar: None. K.Samson: None. C.Davis: None. V.Shivaswamy: Research Support; Eli Lilly and Company, Kowa Company, Ltd., Novo Nordisk. C.Desouza: Advisory Panel; AstraZeneca, Bayer AG, Novo Nordisk A/S, Consultant; Asahi Kasei Corporation.

Low blood 25(OH)D level is associated with increased cardiovascular disease (CVD) risk. Additionally, individuals with prediabetes are at higher risk for CVD than individuals with normoglycemia. We investigated the effects of vitamin D supplementation on CVD outcomes in the vitamin D and type 2 diabetes (D2d) study, a large trial among adults with prediabetes.2423 participants were randomized to 4000 IU/day of vitamin DMean age was 60 years, 45 % were women, 13 % had history of CVD. Twenty-one participants assigned to vitamin D and 12 participants assigned to placebo met the MACE outcome (HR 1.81, 95%CI 0.89 to 3.69). There were 27 expanded MACE outcomes in each group (HR 1.02, 95%CI, 0.59 to 1.76). There were no significant differences between vitamin D and placebo in individual CVD risk factors, but change in ASCVD risk score favored the vitamin D group (-0.45 %, 95%CI -0.75 to -0.15).In people with prediabetes not selected for vitamin D insufficiency and with intermediate CVD risk, vitamin D supplementation did not decrease MACE but had a small favorable effect on ASCVD risk score.D2d ClinicalTrials.gov number, NCT01942694, prospectively registered September 16, 2013.

Objective Fasting plasma glucose (FPG), 2-hour plasma glucose (2hPG) from a 75-g oral glucose tolerance test (OGTT) and glycated hemoglobin (HbA1c) can lead to different results when diagnosing prediabetes and diabetes. The Hemoglobin Glycation Index (HGI) quantifies the interindividual variation in glycation resulting in discrepancies between FPG and HbA1c. We used data from the Vitamin D and Type 2 Diabetes (D2d) study to calculate HGI, to identify HGI-associated variables, and to determine how HGI affects prediabetes and diabetes diagnosis. Measurements A linear regression equation [HbA1c (%) = 0.0164 × FPG (mg/dL) + 4.2] was derived using the screening cohort (n = 6829) and applied to calculate predicted HbA1c. This was subtracted from the observed HbA1c to determine HGI in the baseline cohort with 2hPG data (n = 3945). Baseline variables plus prediabetes and diabetes diagnosis by FPG, HbA1c, and 2hPG were compared among low, moderate, and high HGI subgroups. Results The proportion of women and Black/African American individuals increased from low to high HGI subgroups. Mean FPG decreased and mean HbA1c increased from low to high HGI subgroups, consistent with the HGI calculation; however, mean 2hPG was not significantly different among HGI subgroups. Conclusions High HGI was associated with Black race and female sex as reported previously. The observation that 2hPG was not different across HGI subgroups suggests that variation in postprandial glucose is not a significant source of population variation in HGI. Exclusive use of HbA1c for diagnosis will classify more Black individuals and women as having prediabetes compared with using FPG or 2hPG.

Context Intermediate-term glycemic control metrics fulfill a need for measures beyond hemoglobin A1C. Objective Compare glycated albumin (GA), a 14-day blood glucose measure, with other glycemic indices. Design 24-week prospective study of assay performance. Setting 8 US clinics. Participants Subjects with type 1 (n = 73) and type 2 diabetes (n = 77) undergoing changes to improve glycemic control (n = 98) or with stable diabetes therapy (n = 52). Interventions GA, fructosamine, and A1C measured at prespecified intervals. Mean blood glucose (MBG) calculated using weekly self-monitored blood glucose profiles. Main Outcome Measures Primary: Pearson correlation between GA and fructosamine. Secondary: magnitude (Spearman correlation) and direction (Kendall correlation) of change of glycemic indices in the first 3 months after a change in diabetes management. Results GA was more concordant (60.8%) with changes in MBG than fructosamine (55.5%) or A1C (45.5%). Across all subjects and visits, the GA Pearson correlation with fructosamine was 0.920. Pearson correlations with A1C were 0.655 for GA and 0.515 for fructosamine (P < .001) and with MBG were 0.590 and 0.454, respectively (P < .001). At the individual subject level, Pearson correlations with both A1C and MBG were higher for GA than for fructosamine in 56% of subjects; only 4% of subjects had higher fructosamine correlations with A1C and MBG. GA had a higher Pearson correlation with A1C and MBG in 82% and 70% of subjects, respectively. Conclusions Compared with fructosamine, GA correlates significantly better with both short-term MBG and long-term A1C and may be more useful than fructosamine in clinical situations requiring monitoring of intermediate-term glycemic control (NCT02489773).

Type 2 diabetes mellitus (T2DM) is a leading cause of morbidity and mortality in people of all ages worldwide. Glucagon-like peptide-1 receptor agonists (GLP-1 RA) offer an innovative and unique advancement in treatment for T2DM by not only benefiting blood glucose control but also potentially impacting other diabetes-related complications. However, clinical response to GLP-1 RA is not seen in all patient populations. Our goal was to determine the response rate of GLP-1 RA add-on therapy. We performed a retrospective study of veterans with T2DM initiated on any GLP-1 RA from January 1, 2015, to December 31, 2019, for a duration of at least 6 months to assess the response in terms of hemoglobin A1c (A1c), weight, and total daily insulin dose. Baseline characteristics of 332 patients were reviewed to evaluate response rate. Treatment response thresholds included an A1c reduction of at least 0.5%, weight loss of ≥ 3% of pretreatment body weight, and a ≥ 10% reduction in total daily insulin dose (TDD). We then classified veterans into those without a response, or with 1, 2, or all 3 responses based on data 6-12 months after initiating treatment. We considered it a complete response if all 3 categories were fulfilled. Semaglutide (n=141): 10.64% showed a response to A1c alone, 3.55% had weight reduction alone, and 2.84% had insulin reduction alone. 7.09% showed A1c and weight response, 24.82% had A1c and insulin response, and 13.48% had weight and insulin response. A complete response was seen in 33.33% of veterans. Liraglutide (n=131): 18.32% showed a response to A1c alone, 4.58% had weight reduction alone, and 11.45% had insulin reduction alone. 6.11% showed A1c and weight response, 19.08% had A1c and insulin response, and 8.40% had weight and insulin response. A complete response was seen in 25.19% of veterans. Dulaglutide (n=57): 22.81% showed a response to A1c alone, 3.51% had weight reduction alone, and 12.28% had insulin reduction alone. 8.77% showed A1c and weight response, 26.32% had A1c and insulin response, and 1.75% had weight and insulin response. A complete response was seen in 15.79% of veterans. In conclusion, semaglutide's most common response, in 33.33% of patients, was having a complete response, followed by a reduction in A1c and insulin reduction for 24.82% of patients, and then weight and insulin reduction for 13.48% of patients. Liraglutide's most common response, in 25.19% of patients, was having a complete response, followed by a reduction in A1c and insulin dose for 19.08% of patients, and then reduction in A1c alone for 18.32% of patients. Unlike the others, dulaglutide's most common response was not a complete response, but rather A1c and insulin reduction, for 26.32% patients. Dulaglutide also had 22.81% of patients respond with A1c alone. Presentation: Sunday, June 12, 2022 12:30 p.m. - 2:30 p.m.

Animal models of obesity have shown that the expression of Thromboxane A2 Receptor (tbxa2r) and thromboxane synthase (Tbxas1) are increased in adipose tissue (AT) and are associated with insulin resistance and inflammation. Objective: To compare Tbxa2r gene expression in the AT of human subjects with different degrees of obesity and to determine the association between AT Tbxa2r with BMI and markers of AT inflammation. Methods: Subcutaneous AT samples were collected from lean (BMI 40) subjects. Gene expression of Tbxa2r was analyzed in AT and compared among different groups. Correlation analysis to determine the association between AT Tbxa2r and obesity and obesity-related inflammation. Results: The mRNA levels of Tbxa2r were significantly higher in obese compared to normal subjects (P Conclusion: Signaling of TxA2 is higher in AT in obesity and is associated with BMI as well as inflammatory genes. Tbxa2r may be a potential therapeutic target for obesity-linked diseases including type 2 DM and CV disease. Disclosure D. Alcaraz alvarez: None. S. Viswanathan: None. T. Gopal: None. N. Kumar: None. K. Kelley: None. C. Desouza: Advisory Panel; Self; Bayer AG, Novo Nordisk, Consultant; Self; AstraZeneca.

Purpose: To delineate which factors help predict whether a patient is likely to respond or not respond to treatment with a glucagon-like peptide-1 (GLP-1) agonist. Methods: The medical records for veterans with type 2 diabetes mellitus who began treatment with any GLP-1 agonist at the Veterans Affairs Nebraska-Western Iowa Health Care system from January 1, 2015, to December 31, 2019, were retrospectively reviewed. Patient demographics and baseline objective data were collected at treatment onset. Defined decreases in hemoglobin A1C (HbA1c), body weight, and insulin dose over a minimum 6-month period were used to identify responders and nonresponders. Associations between categorical variables and response status were assessed using Chi-Square tests or Fisher’s exact tests, and Wilcoxon Rank Sum tests were used to examine differences in distributions of variables of interest between response status groups. Results: Of the 55 veterans evaluated during the study period, forty-two subjects (78%) responded to treatment with a GLP-1 agonist whereas twelve subjects (22%) did not respond. The median baseline HbA1c of those who responded was 8.7 (IQR: 8.3, 10.0) compared to 8.1 (IQR: 7.6, 8.8) for those who did not respond (p = 0.03). Among patients with peripheral neuropathy, 88.5% responded while only 65.5% of those without peripheral neuropathy responded (p = 0.046). Conclusion: We demonstrate that a response to GLP-1 agonist treatment was associated with a higher baseline HbA1C and the presence of peripheral neuropathy. These findings warrant future multivariate analyses of a larger cohort to determine the ideal candidates for GLP-1 agonist therapy. Disclosure B. A. Begley: None. C. Desouza: Advisory Panel; Self; Bayer AG, Novo Nordisk, Consultant; Self; AstraZeneca. V. Shivaswamy: Research Support; Self; Eli Lilly and Company, Kowa Pharmaceuticals, Novo Nordisk. K. Samson: None. E. Silverman: None.

IntroductionMost patients with type 2 diabetes require sequential addition of glucose-lowering agents to maintain long-term glycemic control. In this retrospective, observational study, we compared intensification with a glucagon-like peptide-1 receptor agonist (GLP-1 RA), oral antidiabetic drugs (OADs), and insulin in patients receiving two OADs, using US electronic health records and claims data.Research design and methodsFor inclusion, patients in the IBM MarketScan Explorys database were required to have claims for two different OADs in the 180-day baseline period and ≥1 claim for a different OAD/GLP-1 RA/insulin at index date (treatment intensification). Changes in glycated hemoglobin (HbA1c) and weight from baseline were assessed at 180 days postindex. Patients were propensity score-matched by baseline characteristics and exact-matched by HbA1c category (HbA1c cohort and weight/composite outcomes cohort) and body mass index (BMI) category (weight/composite outcomes cohort only) to obtain balanced treatment arms. The primary endpoint was the percentage of patients reaching target HbA1c ResultsSignificantly more patients intensifying with a GLP-1 RA achieved HbA1c 1c and weight decreases from baseline; and a significantly greater chance of HbA1c ConclusionsIn propensity score-matched cohorts, GLP-1 RAs demonstrated significant benefits for both glycemic control and weight management over additional OAD(s) or insulin, respectively, indicating that they may represent the optimal choice at these points in the treatment pathway.

The global PIONEER program investigated the efficacy and safety of oral semaglutide, a glucagon-like peptide-1 receptor agonist. Patients with type 2 diabetes were randomized to once-daily oral semaglutide (3, 7 or 14 mg, or flexibly dosed [flex]), placebo, or active comparator (empagliflozin 25 mg, sitagliptin 100 mg or liraglutide 1.8 mg). This exploratory subgroup analysis evaluated the effect of race on glycated hemoglobin (HbA1c) and body weight (BW) reductions at the end of treatment (week 26, 52 or 78). Data were analyzed from PIONEER 1-5, 7 and 8 by race (White, Asian, Black/African American). Baseline characteristics were generally similar across subgroups except for BW, which was lower in Asian patients. Generally, greater HbA1c reductions were observed with oral semaglutide 14 mg/flex vs. comparators across subgroups (Table). In PIONEER 1, 4 and 8, there was a significant interaction between treatment and race, with greater HbA1c reductions and estimated treatment differences in Asian patients than in other subgroups (Table). Overall, BW reductions were greater for oral semaglutide vs. comparators, regardless of subgroup and without significant interactions between treatment and race. Our findings in this exploratory subgroup analysis suggest that, in some PIONEER trials, Asian patients achieve greater HbA1c reductions than other race groups when treated with oral semaglutide. Disclosure C. Desouza: Consultant; Self; AstraZeneca, Bayer AG, Novo Nordisk A/S. A. Amod: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Lilly Diabetes, Novo Nordisk A/S, Sanofi-Aventis, Servier. Consultant; Self; Servier. Speaker’s Bureau; Self; AstraZeneca, Boehringer Ingelheim (Canada) Ltd., Lilly Diabetes, Novo Nordisk A/S, Sanofi-Aventis, Servier. K. Kallenbach: None. P.J. Lin: Speaker’s Bureau; Self; Abbott, AstraZeneca, Bausch + Lomb, Bayer Inc., Boehringer Ingelheim (Canada) Ltd., Eli Lilly and Company, Mead Johnson Nutrition, Merck & Co., Inc., Novo Nordisk Inc., Sun Pharmaceutical Industries Ltd. Other Relationship; Self; Elsevier. M. Abildlund Nielsen: Employee; Self; Novo Nordisk A/S. Stock/Shareholder; Self; Novo Nordisk A/S. Stock/Shareholder; Spouse/Partner; Novo Nordisk A/S. R. Sørrig: Employee; Self; Novo Nordisk A/S. E. Montanya: Advisory Panel; Self; Sanofi. Consultant; Self; Novartis Pharmaceuticals Corporation. Employee; Spouse/Partner; Almirall. Speaker’s Bureau; Self; AstraZeneca, Merck Sharp & Dohme Corp., Novo Nordisk A/S. Funding Novo Nordisk A/S

Background: Thromboxane A2 (TxA2), a lipid mediator plays a critical role in cardiovascular disease and chronic inflammatory disorders. TxA2 signaling is regulated by TxA2 synthase (Tbxas1), an enzyme that produces TxA2, and TxA2 receptor (Tbxa2r). Objective: To determine if Tbxa2r gene expression in adipose tissue (AT) is higher in obese insulin resistant (IR) subjects compared to overweight non-IR subjects. Methods: Insulin resistance was measured via a homeostatic model assessment of insulin resistance (HOMA-IR). Subcutaneous AT biopsies were obtained from overweight (BMI between ≥25 to 2.5) subjects. Gene expression of Tbxa2r and Tbxas1 were analyzed in tissue samples and compared between groups. Results: The mRNA levels of Tbxa2r and Tbxas1 were significantly higher in obese IR subjects compared to overweight subjects (P Conclusion: Our data suggest that TxA2 signaling is activated in AT in obesity and is associated with the development of insulin resistance in obesity. Tbxas1 and/or Tbxa2r may be a potential therapeutic target for obesity-linked metabolic diseases. Disclosure D. Alcaraz Alvarez: None. S. Viswanathan: None. T. Thangavelu: None. N. Kumar: None. K. Kelley: None. C. Desouza: Consultant; Self; AstraZeneca, Bayer AG, Novo Nordisk A/S.

We hypothesized that islet autoimmunity, hitherto considered the pathophysiologic basis of type 1 diabetes (T1D) and latent autoimmune diabetes of adults (LADA), could contribute to ß cell dysfunction in patients with type 2 diabetes (T2D). To evaluate this question, the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) Study - Beta Cell Ancillary Study Network measured humoral islet autoimmunity (autoantibodies against 65 kDa glutamic acid decarboxylase (GAD65-Ab), islet autoantigen-2 (IA2-Ab) and zinc transporter-8 (ZnT8-Ab)) in 392 participants (age 57.2 ± 10.1 y; BMI 33.5 ± 6.2 kg/m2; diabetes duration 4.0 ± 3.0 y; HbA1c 7.5 ± 0.5 %; on metformin as the sole glucose-lowering medication), and cellular islet autoimmunity (T cell autoreactivity against a broad range of islet antigens) in 322 of the same participants. 41.4% had evidence of cellular islet autoimmunity and 13.5% had evidence of humoral islet autoimmunity, but only 5.4% had both. T cell autoreactivity to islet antigens, but not autoantibody-positivity, was associated with diminished ß cell function, as assessed by the ratio of incremental area under the curve (iAUC) of C-peptide to iAUC of glucose during 0-120 min of an OGTT (ß = -0.1403; se = 0.0612; p = 0.0219) or ∆C-peptide/∆glucose during 0-30 min of an OGTT (ß = -0.2113; se = 0.0728; p = 0.0037), adjusted for insulin sensitivity. T cell positive participants also had higher fasting plasma glucose (p = 0.045) and HbA1c (p = 0.001) than T cell negative participants. These findings indicate that islet autoimmunity in T2D patients is far more prevalent than previously recognized; T cell mediated islet autoimmunity is associated with diminished ß cell function. Disclosure B. Brooks-Worrell: None. C.S. Hampe: None. E.V. Gonzalez: None. B.M. Palomino: None. S.Z. Zangeneh: None. K. Utzschneider: Other Relationship; Self; Medtronic. S.E. Kahn: Advisory Panel; Self; Boehringer Ingelheim International GmbH, Eli Lilly and Company, Intarcia Therapeutics, Janssen Scientific Affairs, LLC., Merck & Co., Inc., Novo Nordisk A/S, Pfizer Inc. M.E. Larkin: None. M.L. Johnson: Consultant; Self; Jaeb Center for Health Research. Research Support; Self; Abbott, Dexcom, Inc., Insulet Corporation, JDRF, Lilly Diabetes, Medtronic, National Institute of Diabetes and Digestive and Kidney Diseases, Novo Nordisk Inc. K.J. Mather: Research Support; Self; Abbott, Merck & Co., Inc., Novo Nordisk Inc., Sanofi. N. Younes: None. N. Rasouli: Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Novo Nordisk Inc. Research Support; Self; Allergan plc., Novo Nordisk Inc. C. Desouza: Consultant; Self; AstraZeneca, Bayer AG, Novo Nordisk A/S. R.M. Cohen: Stock/Shareholder; Self; Bristol-Myers Squibb. J.Y. Park: None. H. Florez: None. W. Valencia: None. A. Shojaie: None. J.P. Palmer: None. A. Balasubramanyam: None. Funding National Institutes of Health (R01DK104832, U01DK098246)

Background: Autosomal Dominant Hypocalcemia Type 1 is an underdiagnosed condition due to the vast majority of patients being asymptomatic and having mild hypocalcemia. Imatinib has been associated with hypophosphatemia and hypocalcemia. Clinical Case: 69-year-old man who had a long history of asymptomatic mild hypocalcemia, calcium level of 7.9 mg/dL (8.4 – 10.2 mg/dL) diagnosed with chronic myeloid leukemia and developed symptoms of hypocalcemia within 2 months of treatment with imatinib. After the initiation of imatinib, his calcium reduced to 6.8 mg/dL (8.4 – 10.2 mg/dL) with a corresponding ionized calcium of 0.98 mmol/L (1.12–1.32 mmol/L) within 2 months. He developed tetany. With the reduced calcium level his PTH was unexpectedly low-normal at 34 pg/mL (16–62 pg/mL). He also had a higher than expected urinary calcium of 342 mg/24 hours. The PTH and 24-hour urinary calcium levels raised concern for an underlying diagnosis of autosomal dominant hypocalcemia type 1. His phosphorous was normal at 3.3 mg/dL (2.6–4.9 mg/dL). He never had hypophosphatemia, which is common with imatinib. After two doses of IV calcium and initiation of oral calcium replacement, 1000 mg BID, his level continued to be reduced with symptoms. Given his symptoms, laboratory results, and continued hypocalcemia he underwent genetic testing. Results of his genetic testing showed a p.Thr151Met mutation in the CASR gene consistent with autosomal dominant hypocalcemia type 1. With this diagnosis, there is concern for nephrolithiasis with over treatment. His symptoms resolved with treatment with calcium 1000mg TID, calcitriol 0.25 mg BID and vitamin D3 2000 IU daily. He has not developed nephrolithiasis and his urinary calcium increased to 424mg/24 hours. A thiazide diuretic is being considered to decrease urinary calcium excretion. He continues on imatinib with an excellent response to therapy. It is likely that the trigger for symptomatic severe hypocalcemia was initiation of imatinib superimposed on the hypocalcemia type 1. Possible mechanisms for this are decreased intestinal absorption, increased urinary loss, or decreased dissolution from bone. 1 These mechanisms are also associated with hypophosphatemia, which our patient did not have. Another possible cause could be an immune mediated destruction of the parathyroid gland, a rare finding seen with other tyrosine kinase inhibitors.2 Conclusion: This is the first reported case of imatinib triggering severe symptomatic hypocalcemia leading to the diagnosis of underlying autosomal dominant hypocalcemia type 1. References: 1. Vandyke, Kate, et al. “Dysregulation of Bone Remodeling by Imatinib Mesylate.” Blood, vol. 115, no. 4, 2010, pp. 766–774., doi:10.1182/blood-2009-08-237404. 2. Petrić, Marija, et al. “A Rare Case of Hypocalcemia Induced by Nilotinib.” Endocrine Oncology and Metabolism, 3 Mar. 2017, pp. 32–53., doi:10.21040/eom/2017.3.5.1.

OBJECTIVE To investigate the efficacy and safety of once-daily semaglutide in comparison with once-daily liraglutide and placebo in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS This 26-week, multicenter, double-blind trial involved patients diagnosed with type 2 diabetes with HbA1c 7.0–10.0% (53–86 mmol/mol) and treated with diet and exercise with or without metformin. Patients were randomized 2:2:1 to once-daily semaglutide, liraglutide, or placebo in one of four volume-matched doses (semaglutide 0.05, 0.1, 0.2, or 0.3 mg and liraglutide 0.3, 0.6, 1.2, or 1.8 mg, with both compared within each volume-matched dose group). Primary end point was change in HbA1c from baseline to week 26. RESULTS In total, 705 randomized patients were exposed to trial products. At week 26, a dose-dependent change in HbA1c was observed with semaglutide from −1.1% (0.05 mg) to −1.9% (0.3 mg) and with liraglutide from −0.5% (0.3 mg) to −1.3% (1.8 mg) (all P < 0.001 in favor of volume-matched semaglutide dose). Change with pooled placebo was −0.02% (P < 0.0001 vs. semaglutide). Gastrointestinal (GI) disorders were the most common adverse events (AEs) with semaglutide and liraglutide, occurring in 32.8–54.0% and 21.9–41.5% of patients, respectively. CONCLUSIONS Once-daily semaglutide at doses up to 0.3 mg/day resulted in greater reductions in HbA1c compared with liraglutide or placebo but with a higher frequency of GI AEs.

Aim: To evaluate the potential for semaglutide to help people with type 2 diabetes (T2D) achieve glycated haemoglobin (HbA1c) targets while avoiding unwanted outcomes, such as weight gain, hypoglycaemia and gastrointestinal (GI) side effects. Materials and methods: Data from the phase IIIa SUSTAIN 1 to 5 clinical trials were analysed. Participants had inadequately controlled T2D and were drug-naïve (SUSTAIN 1) or on a range of background treatments (SUSTAIN 2 to 5). The main protocol-specified composite endpoint was the proportion of participants achieving HbA1c

OBJECTIVE To describe baseline characteristics of the Vitamin D and Type 2 Diabetes (D2d) study, the first large U.S. diabetes prevention clinical trial to apply current American Diabetes Association (ADA) criteria for prediabetes. RESEARCH DESIGN AND METHODS This is a multicenter (n = 22 sites), randomized, double-blind, placebo-controlled, primary prevention clinical trial testing effects of oral daily 4,000 IU cholecalciferol (D3) compared with placebo on incident diabetes in U.S. adults at risk for diabetes. Eligible participants were at risk for diabetes, defined as not meeting criteria for diabetes but meeting at least two 2010 ADA glycemic criteria for prediabetes: fasting plasma glucose (FPG) 100–125 mg/dL, 2-h postload glucose (2hPG) after a 75-g oral glucose load 140–199 mg/dL, and/or a hemoglobin A1c (HbA1c) 5.7–6.4% (39–46 mmol/mol). RESULTS A total of 2,423 participants (45% of whom were women and 33% nonwhite) were randomized to cholecalciferol or placebo. Mean (SD) age was 60 (9.9) years and BMI 32.1 (4.5) kg/m2. Thirty-five percent met all three prediabetes criteria, 49% met the FPG/HbA1c criteria only, 9.5% met the 2hPG/FPG criteria only, and 6.3% met the 2hPG/HbA1c criteria only. Black participants had the highest mean HbA1c and lowest FPG concentration compared with white, Asian, and other races (P < 0.01); 2hPG concentration did not differ among racial groups. When compared with previous prediabetes cohorts, the D2d cohort had lower mean 2hPG concentration but similar HbA1c and FPG concentrations. CONCLUSIONS D2d will establish whether vitamin D supplementation lowers risk of diabetes and will inform about the natural history of prediabetes per contemporary ADA criteria.

AIMS: The Glycemia Reduction Approaches in Diabetes - A Comparative Effectiveness (GRADE) trial is a randomized clinical trial comparing glycemic effects of four diabetes medications added to metformin in type 2 diabetes (T2D). Microvascular and macrovascular diseases are secondary outcomes. We evaluated the prevalence and risk factor relationships for microvascular and macrovascular complications in the GRADE cohort at study entry. METHODS: Complication prevalence and risk factors were analyzed based on data from screening in all consenting participants meeting GRADE eligibility. Logistic regression and Z-statistics were used to assess risk factor relationships with complications. RESULTS: We enrolled 5047 T2D participants [mean age 57 years; 36% female; mean knownT2D duration 4 years (all

Aims Both fasting (FPG) and postprandial plasma glucose (PPG) contribute to HbA1c levels. We investigated the relationship between achievement of American Diabetes Association (ADA) and American Association of Clinical Endocrinologists (AACE) recommended FPG and/or PPG targets and glycaemic efficacy outcomes in two trials. Methods In this post hoc analysis, data from participants with Type 2 diabetes in the phase 3 LixiLan‐O (NCT 02058147) and LixiLan‐L (NCT 02058160) trials were evaluated to compare the relationship between achievement of society‐recommended FPG and/or PPG targets and efficacy (HbA1c change, HbA1c goal attainment, weight change) and safety outcomes in the treatment groups. Results Across treatment arms, iGlarLixi achieved the highest proportion of participants meeting both ADA‐ and AACE‐recommended FPG and PPG targets at study end in both trials. A higher proportion of participants in the iGlarLixi (fixed‐ratio combination of insulin glargine and lixisenatide) vs. insulin glargine alone or lixisenatide alone treatment arms achieved HbA1c goals (P, What's new? Achievement of both fasting (FPG) and postprandial plasma glucose (PPG) targets is important for optimal glycaemic control in Type 2 diabetes.This post hoc analysis of the LixiLan‐O and LixiLan‐L trials shows that targeting both FPG and PPG results in improved glycaemic control, with weight neutrality and a low risk of hypoglycaemia.It is clinically desirable to achieve control of FPG and PPG. More people treated with iGlarLixi achieved control, and those who did so reached an HbA1c target of

Background: Oral semaglutide is the first oral glucagon-like peptide-1 (GLP-1) receptor agonist for glycaemic control in patients with type 2 diabetes. Type 2 diabetes is commonly associated with renal impairment, restricting treatment options. We aimed to investigate the efficacy and safety of oral semaglutide in patients with type 2 diabetes and moderate renal impairment. Methods: This randomised, double-blind, phase 3a trial was undertaken at 88 sites in eight countries. Patients aged 18 years and older, with type 2 diabetes, an estimated glomerular filtration rate of 30–59 mL/min per 1·73 m2, and who had been receiving a stable dose of metformin or sulfonylurea, or both, or basal insulin with or without metformin for the past 90 days were eligible. Participants were randomly assigned (1:1) by use of an interactive web-response system, with stratification by glucose-lowering medication and renal function, to receive oral semaglutide (dose escalated to 14 mg once daily) or matching placebo for 26 weeks, in addition to background medication. Participants and site staff were masked to assignment. Two efficacy-related estimands were defined: treatment policy (regardless of treatment discontinuation or rescue medication) and trial product (on treatment without rescue medication) in all participants randomly assigned. Endpoints were change from baseline to week 26 in HbA1c (primary endpoint) and bodyweight (confirmatory secondary endpoint), assessed in all participants with sufficient data. Safety was assessed in all participants who received at least one dose of study drug. This trial is registered on ClinicalTrials.gov, number NCT02827708, and the European Clinical Trials Registry, number EudraCT 2015-005326-19, and is now complete. Findings: Between Sept 20, 2016, and Sept 29, 2017, of 721 patients screened, 324 were eligible and randomly assigned to oral semaglutide (n=163) or placebo (n=161). Mean age at baseline was 70 years (SD 8), and 168 (52%) of participants were female. 133 (82%) participants in the oral semaglutide group and 141 (88%) in the placebo group completed 26 weeks on treatment. At 26 weeks, oral semaglutide was superior to placebo in decreasing HbA1c (estimated mean change of −1·0 percentage point (SE 0·1; −11 mmol/mol [SE 0·8]) vs −0·2 percentage points (SE 0·1; −2 mmol/mol [SE 0·8]); estimated treatment difference [ETD]: −0·8 percentage points, 95% CI −1·0 to −0·6; p1c −1·1 percentage points (SE 0·1; −12 mmol/mol [SE 0·8] versus −0·1 percentage points (SE 0·1; −1 mmol/mol [SE 0·8]; ETD −1·0 percentage points, 95% CI −1·2 to −0·8; p

We previously reported that fish oil in combination with cyclooxygenase (COX) inhibitors exerts enhanced hypolipidemic and anti-inflammatory effects in mice. Here, we sought to determine the effects of omega-3 polyunsaturated fatty acids (ω-3 PUFAs) in combination with naproxen (NX), a COX inhibitor, on dyslipidemia and gene expression in adipose tissue (AT) in humans. Obese dyslipidemic patients were randomly assigned to one of these interventions for 12 wk: 1) Standard nutrition counseling (control), 2) ω-3 PUFAs (2 g twice daily), 3) NX (220 mg twice daily), and 4) ω-3 PUFAs (2 g twice daily) + NX (220 mg twice daily). The serum triglycerides showed a trend towards a reduction and a significant reduction (P0.05) in ω-3 and ω3 + NX-treated subjects, respectively, compared to control. The mRNA expression of vascular cell adhesion molecule-1 (Vcam1), an inflammatory marker, increased significantly in AT of ω-3 PUFA-treated subjects but not in ω-3 PUFAs+NX-treated group. The plasma level of glycine-conjugated hyodeoxycholic acid, a secondary bile acid with hypolipidemic property, increased significantly in ω-3 PUFAs + NX-treated group. Our data suggest that combining NX with ω-3 PUFAs increases their effectiveness in reducing serum TG and favorably altering AT gene expression and plasma bile acid profile.

Context Variations in the prevalence and etiology of type 2 diabetes (T2D) across race and ethnicity may affect treatment responses. Semaglutide is a glucagon-like peptide-1 analog approved for once-weekly, subcutaneous treatment of T2D. Objective To compare semaglutide efficacy and safety in race and ethnicity subgroups across the SUSTAIN trials. Design Post hoc analysis of data from phase 3 randomized SUSTAIN 1–5 and 7 (pooled), and SUSTAIN 6 trials. Participants 3074 subjects (SUSTAIN 1–5 and 7) and 1648 subjects (SUSTAIN 6). Interventions Semaglutide 0.5 or 1.0 mg, placebo, or active comparator (sitagliptin 100 mg, exenatide extended release 2.0 mg, insulin glargine 100IU/ml and dulaglutide 0.75 or 1.5 mg). Main Outcome Measures Change in hemoglobin A1C (HbA1c) and body weight from baseline to weeks 30, 40 and 104, and other efficacy and safety endpoints. Results HbA1c was reduced from baseline by 1.0 to 1.5 percentage points and 1.3 to 2.0 percentage points, and body weight was reduced by 2.3 to 4.7 kg and 3.6 to 6.1 kg with semaglutide 0.5 and 1.0 mg, respectively, across race and ethnicity subgroups. Minor changes in blood pressure and lipid profiles were observed. Adverse events (AEs) were reported in similar proportions of subjects across trials. More Asian versus other race subgroups discontinued treatment prematurely due to AEs. The most commonly reported AEs were gastrointestinal disorders. Conclusions In this SUSTAIN trials post hoc analysis, semaglutide was associated with consistent and clinically relevant reductions in HbA1c and body weight in subjects with T2D, with minor variations in efficacy and safety outcomes associated with race or ethnicity.

Background: Thromboxane-Prostanoid Receptor (TP-R) is implicated in several chronic inflammatory disorders. Our preclinical animal studies showed that TP-R plays a critical role in obesity linked Insulin Resistance (IR). Aim: To determine the link between TP-R and obesity and/or obesity-associated inflammation/IR in human subjects. Methods: We collected PBMCs from lean normal and obese IR subjects and analyzed the expression of various inflammatory genes including TP-R, Thromboxane A2 Synthase (TXA2S), TNFα, and MCP-1. We obtained subcutaneous adipose tissue biopsies from obese subjects and analyzed the TP-R mRNA expression and its correlation with inflammatory cytokines mediating IR. Results: TP-R mRNA expression is significantly increased in PBMCs of obese IR subjects compared to lean normal subjects (P Conclusion: Our data demonstrate that TP-R expression is positively correlated with markers of obesity and/or IR and support our hypothesis that TP-R can be used as a biomarker or a therapeutic target for obesity related IR. Disclosure T. Thangavelu: None. S. Viswanathan: None. C. Desouza: Consultant; Self; Novo Nordisk A/S, Sanofi US. Funding National Institute of General Medical Sciences; Great Plains Institutional Developmental Award for Clinical and Translational Research

Type 1 diabetes affects the structure and function of the brain, with psychomotor speed as the most commonly reported deficit. The current study sought to uncover the dynamics underlying motor processing in the brain of adults with type 1 diabetes using an arrow-based Flanker task. Adults (ages 19-35, N = 39) with type 1 diabetes and no major complications and a matched control group (N = 40) underwent magnetoencephalography (MEG) while performing the task. During the task, participants were presented with a row of five arrows facing right or left, and participants were instructed to respond by button press to the direction of the middle arrow. Analyses focused on the time period around movement execution to examine motor-related dynamics. Time series analyses were performed on the peak beta and gamma responses from the motor cortices. An ANOVA model and follow-up regression analyses were used to delineate the predictive value of each neural response in driving behavioral outcomes. Subsequent t-tests between frequent (3+ episodes per week) and infrequent (0-1 episodes per week) hypoglycemic groups were performed to examine response differences within the adults with type 1 diabetes. Responses driving behavior differed between adults with and without type 1 diabetes. In adults with type 1 diabetes, beta frequency responses were significant predictors of reaction time, where greater ipsilateral recruitment led to faster reaction times (b = .58, t = 3.64, p = .001). In contrast, gamma drove behavioral outcomes in the control group (b = -.43, t = -2.96, p = .005). Further, within group analyses revealed that more frequent episodes of hypoglycemia were associated with alterations specific to beta responses during the pre-movement baseline period (p < .05). These results show frequency specific alterations in motor dynamics in adults with type 1 diabetes, with an added effect of increased hypoglycemia. These findings strongly indicate that diabetes directly impacts motor control components in the brain, regulating behavioral outcomes. Disclosure C.M. Embury: None. V.A. Were: None. G.H. Lord: None. A. Drincic: Board Member; Self; Corcept Therapeutics. C. Desouza: Consultant; Self; Novo Nordisk A/S, Sanofi US. T.W. Wilson: None. Funding National Institutes of Health (R01MH103220, R01MH116782)

Patients (pts) with T2D and renal impairment have limited glucose-lowering treatment options. Oral semaglutide (sema) 14 mg once daily (N=163) was compared with placebo (pbo, N=161) in a 26-week, randomized, phase 3a trial (NCT02827708) in pts with T2D and moderate renal impairment (eGFR 30-59 mL/min/1.73 m2), receiving 1-2 glucose-lowering agents (could include basal insulin). Endpoints: change in HbA1c (primary) and body weight (BW, secondary) to week 26. Two estimands were defined: treatment policy (regardless of trial product discontinuation or rescue medication) and trial product (on trial product without rescue medication) in all randomized pts. Oral sema was superior to (treatment policy) and significantly better than (trial product) pbo in reducing HbA1c and BW (Table). More pts reached HbA1c, BW loss, and composite targets with oral sema. At follow-up, eGFR was unchanged. Fewer pts on oral sema required rescue medication (4 vs. 10%). Adverse events were more frequent with oral sema (74 vs. 65%), most often mild/moderate nausea (19 vs. 7%). More patients on oral sema prematurely discontinued trial product (15 vs. 5%), mainly due to nausea and vomiting. In conclusion, in pts with T2D and moderate renal impairment, oral sema provided superior glycemic control and BW loss compared to pbo at 26 weeks, did not appear to affect renal function, and was well tolerated in line with the population and GLP-1RA class. Disclosure O. Mosenzon: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Merck Sharp & Dohme Corp., Novo Nordisk Inc., Sanofi. Research Support; Self; AstraZeneca, Novo Nordisk Inc. Speaker's Bureau; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Merck Sharp & Dohme Corp., Novo Nordisk Inc., Sanofi-Aventis. S. Rosenlund: Employee; Self; Novo Nordisk A/S. Stock/Shareholder; Self; Novo Nordisk A/S. J.W. Eriksson: Advisory Panel; Self; AstraZeneca. Consultant; Self; AstraZeneca, Bayer AG, Merck Sharp & Dohme Corp., Novo Nordisk A/S. Research Support; Self; AstraZeneca, Novo Nordisk A/S. S.R. Heller: Advisory Panel; Self; Eli Lilly and Company, Novo Nordisk A/S, Sanofi-Aventis, Takeda Pharmaceutical Company Limited, Zealand Pharma A/S. Consultant; Self; Novo Nordisk A/S. Speaker's Bureau; Self; Eli Lilly and Company, Novo Nordisk A/S. R.E. Pratley: Consultant; Self; Sanofi US. Other Relationship; Self; AstraZeneca, Eli Lilly and Company, GlaxoSmithKline plc., Janssen Global Services, LLC., Janssen Research & Development, Lexicon Pharmaceuticals, Inc., Ligand Pharmaceuticals, Inc., Merck Sharp & Dohme Corp., Mundipharma, Novo Nordisk Inc., Pfizer Inc., Sanofi, Takeda Development Center Americas, Inc. T. Sathyapalan: Speaker's Bureau; Self; Novo Nordisk Foundation. Other Relationship; Self; Bristol-Myers Squibb Company, Eli Lilly and Company, Sanofi-Aventis. T.M. Blicher: Employee; Self; Novo Nordisk A/S. O.H. Hels: Employee; Self; Novo Nordisk A/S. C. Desouza: Consultant; Self; Novo Nordisk A/S, Sanofi US. Funding Novo Nordisk A/S

Background: Over 78% of veterans are overweight or obese. MOVE! is the VA’s national evidence-based self-management program. This program focuses on health and wellness through healthy eating, physical activity, and behavior change (1). We evaluated the effects of adding pharmacotherapy to dietitian coaching in a real-world MOVE! Program in the VA Nebraska-Western Iowa Health Care System. Methods: A systematic retrospective and prospective chart review were completed of 66 patients who completed a minimum of 6 months of medication at our Weight Loss Medicine clinic from June 2017 to February 2020. Body composition was measured using SECA Bio Electrical Impedance Analyzer. Descriptive statistics were used to analyze weight changes, fat mass (FM), and fat-free mass (FFM) changes at 6 and 12 months after starting weight loss medications. Results: The percentage of patients with a 5% decrease in weight from baseline after at least 6 months with pharmacotherapy was 47% and a 10% decrease was 36% after 12 months. In 6 months, a decrease of a minimum of 5% was seen with GLP-1 (semaglutide or liraglutide) 55 % (29/53), orlistat 11% (1/9), and bupropion-topiramate 25 % (1/4). An average of 3.4% FM decrease and a 3.47% FFM increase was seen from baseline to 6 months and 4.8% FM decrease and 4.7% FFM increase was seen from baseline to 12 months. Conclusion: A clinically significant decrease in weight was seen at 6 and 12 months after starting weight loss medication in addition to monthly MOVE! Dietitian visits. A significant decrease was seen in FM and an increase in FFM. Veteran’s receiving a GLP-1 had a greater amount of weight loss compared with Orlistat and bupropion-topiramate. Weight loss medication is recommended as an adjunct to dietitian counseling for optimizing weight loss. References 1 Kinsinger LS, Jones KR, Kahwati L et al. Design and dissemination of the MOVE! Weight-Management Program for Veterans. Prev Chronic Dis 2009; 6: A98

In recent years, Cardiovascular Outcome Event Trials (CVOTs) in type 2 diabetes mellitus (T2DM) have demonstrated that sodium glucose transporter 2 inhibitors (SGLT2i) could reduce major adverse cardiovascular events (MACE) and cardiovascular mortality independent of a glucose lowering mechanism. SGLT2i trials reported significant results that have generated biologically plausible theories with regard to the macrovascular benefit. In this review, we have summarized and discussed the results of the CANVAS program. The CANVAS program is unique as it is an analysis of two aggregated cohorts. The two cohorts were similar at baseline but had different durations of exposure to canagliflozin. It showed a 14% reduction in the primary MACE composite. However, the individual components of the MACE composite were not significantly different from placebo. Initial analysis also indicated a reno-protective effect. The results of the CANVAS program are similar overall yet different when compared to the EMPA-REG OUTCOMES trial, especially with regard to cardiovascular mortality and adverse event profile. This could possibly be due to the differences in the cardiovascular risk profile of the enrolled population in the two trials. Other possibilities include drug-specific effects and different mechanisms of lowering overall MACE. In addition, a brief comparison of CANVAS to the CVD-REAL indicates that the CANVAS trial results may apply to a larger, more generalized population than those in the CANVAS program.

Combining GLP-1 analogs and insulin has complementary benefits, but long-term data are sparse. In the LEADER cardiovascular (CV) outcomes trial (N=9340; median follow-up 3.8 years; NCT01179048), rates of major CV events and hypoglycemia were lower when liraglutide vs. placebo was added to standard care (frequently including insulin) in patients with type 2 diabetes (T2D) at high risk for CV disease, and there were improvements in control of glycemia, body weight, systolic blood pressure (SBP) and lipids. This post-hoc subgroup analysis assessed these outcomes by baseline insulin use: no insulin vs. basal-only vs. other. At baseline, 5171 (55%) patients were not on insulin treatment, 3159 (34%) were on basal-only insulin and 1010 (11%) were treated with other insulin regimens (9.7% premix). Insulin use at baseline was balanced overall between randomized treatment groups, but fewer patients randomized to liraglutide (29%) vs. placebo (43%) initiated in-trial insulin. In the basal-only subgroup, liraglutide reduced A1C vs. placebo (estimated treatment difference [ETD]: −0.48%, 95% CI: −0.57; −0.38), with a significant reduction in severe hypoglycemia rate (estimated rate ratio: 0.42, 95% CI: 0.26; 0.68). Liraglutide also reduced weight (ETD: −2.5 kg, 95% CI: −3.0; −2.1) and there were trends for reductions in SBP (ETD: −1.1 mmHg, 95% CI: −2.4; 0.1) and LDL cholesterol (ETD: -1.3 mg/dL, 95% CI: -3.6; 1.0). The CV risk reduction observed with liraglutide in the full trial population was similar in the basal-only subgroup (estimated hazard ratio: 0.84, 95% CI: 0.70; 1.00). Results were similar in the no-insulin subgroup. There was heterogeneity in the results for the smaller, other insulin subgroup with reductions in A1C and weight, but no significant differences in other endpoints. In conclusion, in basal insulin-treated patients with T2D and high CV risk, treatment with liraglutide improved glycemic control, reduced body weight and halved the severe hypoglycemia risk, with a similar CV risk reduction to patients not on insulin. Disclosure C. Tack: Advisory Panel; Self; Merck Sharp & Dohme Corp., Novo Nordisk A/S, AstraZeneca. Research Support; Self; AstraZeneca. Speaker's Bureau; Self; Novo Nordisk A/S. S. Jacob: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim GmbH. Speaker's Bureau; Self; Boehringer Ingelheim GmbH, AstraZeneca, Eli Lilly and Company. Board Member; Self; Novo Nordisk A/S. Speaker's Bureau; Self; Novo Nordisk Foundation. Advisory Panel; Self; MSD K.K.. Speaker's Bureau; Self; MSD K.K., Menarini Group, Roche Diabetes Care Health and Digital Solutions. C. Desouza: Consultant; Self; Novo Nordisk A/S, Sanofi. Research Support; Self; Merck & Co., Inc.. Advisory Panel; Self; Medscape. S.C. Bain: Research Support; Self; Novo Nordisk Inc., AstraZeneca. M.A. Nauck: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim GmbH, Eli Lilly and Company, Fractyl Laboratories, Inc., GlaxoSmithKline plc., Berlin-Chemie AG, Merck Sharp & Dohme Corp., Novo Nordisk A/S. Speaker's Bureau; Self; AstraZeneca, Boehringer Ingelheim GmbH, Eli Lilly and Company, Berlin-Chemie AG, Merck Sharp & Dohme Corp., Medscape, Novo Nordisk A/S. Research Support; Self; AstraZeneca, Berlin-Chemie AG, Eli Lilly and Company, Merck Sharp & Dohme Corp., Novartis AG, GlaxoSmithKline plc., Novo Nordisk A/S. Consultant; Self; Nordic Bioscience, Empros. J. Petrie: Advisory Panel; Self; Novo Nordisk A/S. Other Relationship; Self; Boehringer Ingelheim GmbH. Speaker's Bureau; Self; Pfizer Inc.. Consultant; Self; Novo Nordisk A/S. Research Support; Self; Merck KGaA, Itamar Medical Ltd., Janssen Pharmaceuticals, Inc.. Other Relationship; Self; Diabetes UK, Applied Clinical Intelligence Ltd, Bayer AG, QuintilesIMS. N.R. Poulter: Advisory Panel; Self; AstraZeneca, Novo Nordisk A/S, Amgen Inc.. Research Support; Self; Servier. Speaker's Bureau; Self; AstraZeneca, Novo Nordisk A/S, Amgen Inc., Servier. Other Relationship; Self; International Society of Hypertension. R.E. Pratley: Other Relationship; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Eisai Inc., GlaxoSmithKline plc., Janssen Pharmaceuticals, Inc., Lexicon Pharmaceuticals, Inc., Ligand Pharmaceuticals, Inc., Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk Inc., Pfizer Inc., Sanofi-Aventis, Takeda Development Center Americas, Inc. H. Stegmann: Employee; Self; Novo Nordisk A/S. Stock/Shareholder; Self; Novo Nordisk A/S. H. Bosch-Traberg: Employee; Self; Novo Nordisk A/S. Stock/Shareholder; Self; Novo Nordisk A/S. E. Startseva: Employee; Self; Novo Nordisk A/S. B. Zinman: Consultant; Self; Novo Nordisk A/S, Boehringer Ingelheim Pharmaceuticals, Inc., AstraZeneca, Eli Lilly and Company, Janssen Pharmaceuticals, Inc., Sanofi, Merck & Co., Inc., Abbott.

Microvascular and macrovascular complications drive morbidity, mortality, and health care costs in type 2 diabetes (T2D). The GRADE trial enrolled 5047 participants with T2D 2), 5.1% for myocardial infarction (self-report); and 2.0% for stroke (self-report). The Table describes age- and sex-adjusted associations between individual risk factors and complications as odds ratios comparing the presence vs. absence of the complication. Notable features include associations of HbA1c, obesity and blood pressure with micro- but not macrovascular disease; association of triglycerides with microvascular disease only; and associations of smoking and HDL with both micro- and macrovascular disease. These data reveal unexpected patterns in the clustering of risk factors with complications in GRADE patients with short T2D duration. ACR≥30eGFR2MIStrokeORpORpORpORpORpORpHBA1C at screening (%)1.0380.30660.6580.00300.8370.28541.0940.00170.9960.95910.9370.5605BMI (kg/m2)1.040 Disclosure K.J. Mather: Research Support; Self; Merck & Co., Inc., Sanofi-Aventis, Novo Nordisk A/S, Abbott. Advisory Panel; Self; Merck & Co., Inc. R. Pop-Busui: Research Support; Self; AstraZeneca. I. Bebu: None. C. Baker: None. R.M. Cohen: Stock/Shareholder; Self; Bristol-Myers Squibb Company. J.P. Crandall: None. C. Desouza: Consultant; Self; Novo Nordisk A/S, Sanofi. Research Support; Self; Merck & Co., Inc.. Advisory Panel; Self; Medscape. J.B. Green: Consultant; Self; Merck Sharp & Dohme Corp.. Research Support; Self; AstraZeneca. Consultant; Self; Daiichi Sankyo Company, Limited. Research Support; Self; GlaxoSmithKline plc., Intarcia Therapeutics, Inc.. Consultant; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Novo Nordisk Inc. M. Kirkman: Research Support; Self; Bayer AG, Theracos, Inc.. Consultant; Self; National Institutes of Health. Research Support; Self; National Institutes of Health, Centers for Disease Control and Prevention. H. Krause-Steinrauf: None. M.E. Larkin: None. J. Pettus: Advisory Panel; Self; Sanofi, Novo Nordisk Inc.. Consultant; Self; MannKind Corporation. Advisory Panel; Self; Insulet Corporation. Consultant; Self; Senseonics. E.R. Seaquist: Advisory Panel; Self; Eli Lilly and Company. Consultant; Self; Eli Lilly and Company, Sanofi, Zucera, InfoMed, 360 consulting. Other Relationship; Self; Novo Nordisk Inc.. E.Z. Soliman: None. E.B. Schroeder: None. D.J. Wexler: None. G. Research Group: Research Support; Self; National Institute of Diabetes and Digestive and Kidney Diseases, National Heart, Lung, and Blood Institute. Other Relationship; Self; Bristol-Myers Squibb Company, Merck & Co., Inc., Novo Nordisk Inc., Sanofi-Aventis, Roche Diagnostics Corporation, Becton, Dickinson and Company, Centers for Disease Control and Prevention, National Diabetes Education Program.

To evaluate the clinical utility of Glycated Albumin (GA) as an intermediate-term marker of glycemic control (preceding 2-3 weeks), we compared the correlation and concordance of GA and fructosamine (FRA) with A1C and mean blood glucose (MBG) measurements. One hundred fifty subjects with type 1 (n=73) and type 2 diabetes (n=77) were assigned to Group 1 (n=98, A1C ≥7.5%, prescribed a change in diabetes therapy) and Group 2 (n=52, A1C In conclusion, GA may be a more useful diagnostic test than FRA in clinical situations requiring measurement of intermediate-term glycemic control. Disclosure C. Desouza: Consultant; Self; Novo Nordisk A/S, Sanofi. Research Support; Self; Merck & Co., Inc.. Advisory Panel; Self; Medscape. J. Rosenstock: Advisory Panel; Self; Eli Lilly and Company. Consultant; Self; Eli Lilly and Company. Research Support; Self; Novo Nordisk Inc.. Consultant; Self; Novo Nordisk Inc.. Advisory Panel; Self; Sanofi. Consultant; Self; Sanofi. Advisory Panel; Self; Janssen Pharmaceuticals, Inc.. Consultant; Self; Janssen Pharmaceuticals, Inc.. Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Consultant; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Advisory Panel; Self; Intarcia Therapeutics, Inc.. Consultant; Self; Intarcia Therapeutics, Inc.. Research Support; Self; Merck & Co., Inc., Pfizer Inc., Sanofi, Novo Nordisk Inc., Bristol-Myers Squibb Company, Eli Lilly and Company, Intarcia Therapeutics, Inc., Genentech, Inc. J.P. Frias: Research Support; Self; AbbVie Inc., Allergan, Amgen Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Bristol-Myers Squibb Company. Consultant; Self; CeQur Corporation. Research Support; Self; Cirius Therapeutics, AstraZeneca, Calibra Medical, Elcelyx Therapeutics, Inc.. Consultant; Self; Elcelyx Therapeutics, Inc.. Research Support; Self; Eli Lilly and Company, Genentech, Inc., Ionis Pharmaceuticals, Inc., ICON plc., Janssen Pharmaceuticals, Inc.. Consultant; Self; Johnson & Johnson Diabetes Institute, LLC.. Research Support; Self; Lexicon Pharmaceuticals, Inc., Ligand Pharmaceuticals, Inc.. Consultant; Self; Ligand Pharmaceuticals, Inc.. Research Support; Self; Merck & Co., Inc., Novartis Pharmaceuticals Corporation, Novo Nordisk Inc., Pfizer Inc., Sanofi. Consultant; Self; Sanofi. Speaker's Bureau; Self; Sanofi. Research Support; Self; Theracos, Inc. S. Hsia: Research Support; Self; Tobira Therapeutics, AstraZeneca, Bayer AG, Cirius Therapeutics, Eli Lilly and Company, Intarcia Therapeutics, Inc., Ionis Pharmaceuticals, Inc., Ligand Pharmaceuticals, Inc., Merck & Co., Inc., National Institute of General Medical Sciences, PhaseBio Pharmaceuticals, Inc., Sanofi-Aventis, TaiwanJ Pharmaceuticals Co., Ltd., Theracos, Inc., VTV Therapeutics, Bristol-Myers Squibb Company. L.C. Myers: Speaker's Bureau; Self; AstraZeneca, Novo Nordisk Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Sanofi-Aventis. E.J. Klein: None. R. Zhou: None. T. Kohzuma: Employee; Self; Asahi Kasei Corporation. V. Fonseca: Consultant; Self; Abbott. Board Member; Self; American Association of Clinical Endocrinologists. Consultant; Self; Eli Lilly and Company. Stock/Shareholder; Self; Amgen Inc.. Consultant; Self; Asahi Kasei Corporation, AstraZeneca, Novo Nordisk Inc., ADOCIA, Intarcia Therapeutics, Inc., Sanofi-Aventis.

This study assessed the relationship between FPG, PPG and glycated hemoglobin (A1C) target attainment using ADA glycemic targets in patients (pts) with T2D. A post-hoc analysis of the phase 3 LixiLan-O (NCT02058147) trial assessed the efficacy and safety of iGlarLixi (n=468) vs. insulin glargine U100 (iGlar) (n=466) and lixisenatide (Lixi) (n=233) in pts uncontrolled on metformin ± a second OAD, continuing only on metformin, over a 30-week period. The proportion of pts reaching both FPG and PPG target was highest for iGlarLixi, while the proportions of those reaching FPG or PPG targets only were highest for iGlar (targeting FPG) and Lixi (targeting PPG), respectively (Figure 1A). There was a stepwise trend in A1C change, end-of-study A1C, and proportion of pts reaching A1C goals in favor of iGlarLixi, followed by iGlar and Lixi (Figure 1B-D). Pts reaching both FPG and PPG targets had the greatest A1C drop and lowest A1C values, and represented the largest proportion of pts acheiving A1C target. No differences were observed in hypoglycemia rates in all treatment arms, and a greater proportion of pts experienced weight loss with iGlarLixi vs. iGlar (55.3% vs. 39.9%). By simultaneously targeting fasting and postprandial hyperglycemia, iGlarLixi treatment results in greater A1C reduction and better A1C target attainment than iGlar or Lixi alone. Disclosure C. Desouza: Consultant; Self; Novo Nordisk A/S, Sanofi. Research Support; Self; Merck & Co., Inc.. Advisory Panel; Self; Medscape. V. Fonseca: Consultant; Self; Abbott. Board Member; Self; American Association of Clinical Endocrinologists. Consultant; Self; Eli Lilly and Company. Stock/Shareholder; Self; Amgen Inc.. Consultant; Self; Asahi Kasei Corporation, AstraZeneca, Novo Nordisk Inc., ADOCIA, Intarcia Therapeutics, Inc., Sanofi-Aventis. J.P. Frias: Research Support; Self; AbbVie Inc., Allergan, Amgen Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Bristol-Myers Squibb Company. Consultant; Self; CeQur Corporation. Research Support; Self; Cirius Therapeutics, AstraZeneca, Calibra Medical, Elcelyx Therapeutics, Inc.. Consultant; Self; Elcelyx Therapeutics, Inc.. Research Support; Self; Eli Lilly and Company, Genentech, Inc., Ionis Pharmaceuticals, Inc., ICON plc., Janssen Pharmaceuticals, Inc.. Consultant; Self; Johnson & Johnson Diabetes Institute, LLC.. Research Support; Self; Lexicon Pharmaceuticals, Inc., Ligand Pharmaceuticals, Inc.. Consultant; Self; Ligand Pharmaceuticals, Inc.. Research Support; Self; Merck & Co., Inc., Novartis Pharmaceuticals Corporation, Novo Nordisk Inc., Pfizer Inc., Sanofi. Consultant; Self; Sanofi. Speaker's Bureau; Self; Sanofi. Research Support; Self; Theracos, Inc. L. Van Gaal: Advisory Panel; Self; Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Janssen J & J, Merck MSD, Novo Nordisk, Sanofi and Servier/Intarcia. Speaker's Bureau; Self; Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Janssen J & J, Merck MSD, Novo Nordisk, Sanofi and Servier/Intarcia. Research Support; Self; EU (Hepadip & Resolve consortium) and National Research Funds. F. Giorgino: Consultant; Self; Abbott, AstraZeneca, Boehringer Ingelheim GmbH. Research Support; Self; Eli Lilly and Company, Johnson & Johnson Services, Inc.. Consultant; Self; MedImmune, Merck Sharp & Dohme Corp., Roche Diabetes Care Health and Digital Solutions, Sanofi. Research Support; Self; Takeda Development Centre Europe Ltd.. J. Chao: None. T.A. Dex: Employee; Self; Sanofi US. Stock/Shareholder; Self; Pfizer Inc., Merck Sharp & Dohme Corp., Teva Pharmaceutical Industries Ltd.. M. Roberts: None. A. Saremi: Employee; Self; Sanofi US. L.A. Leiter: Advisory Panel; Self; AstraZeneca. Research Support; Self; AstraZeneca. Speaker's Bureau; Self; AstraZeneca. Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Speaker's Bureau; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Advisory Panel; Self; Eli Lilly and Company. Speaker's Bureau; Self; Eli Lilly and Company. Research Support; Self; GlaxoSmithKline plc.. Advisory Panel; Self; Janssen Pharmaceuticals, Inc.. Research Support; Self; Janssen Pharmaceuticals, Inc.. Speaker's Bureau; Self; Janssen Pharmaceuticals, Inc.. Advisory Panel; Self; Merck & Co., Inc.. Speaker's Bureau; Self; Merck & Co., Inc.. Research Support; Self; Merck & Co., Inc.. Advisory Panel; Self; Novo Nordisk Inc.. Research Support; Self; Novo Nordisk Inc.. Speaker's Bureau; Self; Novo Nordisk Inc.. Advisory Panel; Self; Sanofi. Research Support; Self; Sanofi. Speaker's Bureau; Self; Sanofi. Advisory Panel; Self; Servier. Speaker's Bureau; Self; Servier. Research Support; Self; Servier. Advisory Panel; Self; Amgen Inc.. Speaker's Bureau; Self; Amgen Inc.. Research Support; Self; Amgen Inc., Esperion Therapeutics, Kowa Pharmaceuticals America, Inc., The Medicines Company. Advisory Panel; Self; Akcea Therapeutics, Novartis Pharmaceuticals Corporation.

Semaglutide is a new GLP-1 analog for the once-weekly treatment of T2D. In the SUSTAIN 6 CV outcomes trial, subcutaneous semaglutide (0.5 mg and 1.0 mg) added to standard of care significantly reduced major adverse CV events (MACE: non-fatal MI, non-fatal stroke or CV death) vs. placebo over 2 years in subjects with T2D at high CV risk. This post-hoc analysis assessed whether this CV risk reduction was consistent in male and female subjects. Overall, 2,002 male and 1,295 female subjects were randomized. MACE was reported by fewer subjects with semaglutide vs. placebo in both sexes (p=0.45 for interaction); HR estimates were 0.68 (95% CI 0.50;0.92) in males, 0.84 (95% CI 0.54;1.31) in females and 0.74 (95% CI 0.58;0.95) in the overall study population. Overall, the pattern was similar across the individual MACE components (Table 1). AEs were reported by similar proportions of males and females across treatments. The most frequent AEs reported were gastrointestinal, with higher rates in females than in males. The proportions of subjects prematurely discontinuing treatment due to AEs were comparable for males and females (Table 1). MACE and its components was reported in consistent proportions of males and females, and generally lower with semaglutide vs. placebo regardless of sex. The HR estimates for MACE with semaglutide vs. placebo for males and females were consistent with that of the overall study population. Disclosure I. Hramiak: Advisory Panel; Self; AstraZeneca. Research Support; Self; AstraZeneca. Advisory Panel; Self; Eli Lilly and Company. Research Support; Self; Eli Lilly and Company. Advisory Panel; Self; GlaxoSmithKline plc.. Research Support; Self; GlaxoSmithKline plc.. Advisory Panel; Self; Roche Pharma, Insulet Corporation, Janssen Pharmaceuticals, Inc.. Research Support; Self; Janssen Pharmaceuticals, Inc.. Speaker's Bureau; Self; Janssen Pharmaceuticals, Inc.. Research Support; Self; Lexicon Pharmaceuticals, Inc., Medtronic. Advisory Panel; Self; Merck & Co., Inc.. Research Support; Self; Merck & Co., Inc.. Speaker's Bureau; Self; Merck & Co., Inc.. Advisory Panel; Self; Novo Nordisk Inc.. Research Support; Self; Novo Nordisk Inc.. Speaker's Bureau; Self; Novo Nordisk Inc.. Advisory Panel; Self; Sanofi. Research Support; Self; Sanofi. C. Desouza: Consultant; Self; Novo Nordisk A/S, Sanofi. Research Support; Self; Merck & Co., Inc.. Advisory Panel; Self; Medscape. J. Seufert: Speaker's Bureau; Self; AstraZeneca, Berlin-Chemie AG, Boehringer Ingelheim GmbH. Research Support; Self; Boehringer Ingelheim GmbH. Advisory Panel; Self; Boehringer Ingelheim GmbH, GI Dynamics Inc.. Research Support; Self; GI Dynamics Inc., GlaxoSmithKline plc., Intarcia Therapeutics, Inc., Ipsen Biopharmaceuticals, Inc., Janssen Pharmaceuticals, Inc.. Speaker's Bureau; Self; Janssen Pharmaceuticals, Inc.. Advisory Panel; Self; Janssen Pharmaceuticals, Inc.. Speaker's Bureau; Self; Eli Lilly and Company, Merck Sharp & Dohme Corp., Novartis Pharmaceuticals Corporation. Research Support; Self; Novartis Pharmaceuticals Corporation. Advisory Panel; Self; Novo Nordisk A/S. Speaker's Bureau; Self; Novo Nordisk A/S. Research Support; Self; Novo Nordisk A/S. Speaker's Bureau; Self; Sanofi-Aventis Deutschland GmbH. Advisory Panel; Self; Sanofi-Aventis Deutschland GmbH. Research Support; Self; Sanofi-Aventis Deutschland GmbH. Advisory Panel; Self; Sanofi. Research Support; Self; Ypsomed AG. T. Hansen: None. D. Thielke: Employee; Self; Novo Nordisk A/S. I. Lingvay: Advisory Panel; Self; Novo Nordisk A/S, Eli Lilly and Company, AstraZeneca, Intarcia Therapeutics, Inc., Sanofi-Aventis. Research Support; Self; Novo Nordisk A/S, Merck Sharp & Dohme Corp., Pfizer Inc., GI Dynamics Inc., Novartis AG. Other Relationship; Self; Sanofi, AstraZeneca, Boehringer Ingelheim GmbH, Novo Nordisk A/S.

It is now generally accepted that diabetes increases the risk for cognitive impairment, but the precise mechanisms are poorly understood. A critical problem in linking diabetes to cognitive impairment is that patients often have multiple comorbidities (e.g., obesity, hypertension) that have been independently linked to cognitive deficits. In the study reported here we focused on young adults with and without type 1 diabetes who were virtually free of such comorbidities. The two groups were matched on major health and demographic factors, and all participants completed a verbal working memory task during magnetoencephalographic brain imaging. We hypothesized that patients would have altered neural dynamics in verbal working memory processing and that these differences would directly relate to clinical disease measures. Accordingly, we found that patients had significantly stronger neural responses in the superior parietal cortices during memory encoding and significantly weaker activity in parietal-occipital regions during maintenance compared with control subjects. Moreover, disease duration and glycemic control were both significantly correlated with neural responses in various brain regions. In conclusion, young healthy adults with type 1 diabetes already have aberrant neural processing relative to their peers without diabetes, using compensatory responses to perform the task, and glucose management and duration may play a central role.

Objective Adipose tissue (AT) macrophages mediate AT inflammation in obesity, and cyclooxygenase-2 (COX-2) is a major inflammatory gene. It was hypothesized that deletion of hematopoietic COX-2 will inhibit AT inflammation in obesity. Methods Lethally irradiated wild-type (WT) mice were injected with bone marrow (BM) cells collected from WT or COX-2 knock-out (COX-2−/−) donor mice and fed a high-fat diet for 16 weeks. Results The mice that received BM cells from COX-2−/− mice (BM-COX-2−/−) gained increased body weight, fat mass, and visceral AT (VAT) mass. These mice exhibited reduced inflammatory markers in the VAT stromal vascular cells (SVC). However, the inflammatory markers were increased in adipocyte fraction and/or whole VAT. The activation of ERK1/2 MAPK, a pro-inflammatory signaling pathway, was increased in BM-COX-2−/− mice. The molecular markers of adipogenesis were increased in the VAT or adipocyte fraction. Wnt signaling markers which inhibit adipogenesis, including Wnt3A and DVL3, were reduced, and Wnt5a/b which promotes inflammation was increased in the VAT and/or adipocytes. Finally, an increase in hepatic triglyceride levels in BM-COX-2−/− mice was noted. Conclusions The data suggest that COX-2 deletion in hematopoietic cells reduces SVC inflammation but increases VAT inflammation and promotes adiposity likely via altered Wnt signaling.

Patients with type 2 diabetes (T2DM) and chronic kidney disease (CKD) have impaired endothelial function. Vitamin D and its analogs may play a role in regulation of endothelial function and inflammation. We studied effects of paricalcitol compared to placebo on endothelial function and markers of inflammation and oxidative stress in patients with T2DM and CKD.A double blind, randomized, placebo-controlled trial was conducted in 60 patients with T2DM and stage 3 or 4 CKD. Paricalcitol 1 mcg or placebo was administered orally once daily for three months. Brachial artery flow mediated dilatation (FMD), nitroglycerine mediated dilation (NMD), and plasma concentrations of inflammatory cytokines, tumor necrosis factor -α and interleukin-6, highly-sensitive C-reactive protein; endothelial surface proteins, intercellular adhesion molecule -1 and monocyte chemo attractant protein-1, and plasma glucose, insulin, free fatty acids, and urinary isoprostane were measured at baseline and end of three months.27 patients in the paricalcitol group and 28 patients in the control group completed the study, though analysis of FMD at both time points was possible in 23 patients in each group. There was no significant difference in the change in FMD, NMD or the biomarkers examined after paricalcitol or placebo treatment.Treatment with paricalcitol at this dose and duration did not affect brachial artery FMD or biomarkers of inflammation and oxidative stress. The lack of significance may be due to the fact that the study patients had advanced CKD and that effects of paricalcitol are not additive to the effects of glycemic, lipid and anti-hypertensive therapies.

OBJECTIVE: To describe baseline characteristics of the Vitamin D and Type 2 Diabetes (D2d) study, the first large U.S. diabetes prevention clinical trial to apply current American Diabetes Association (ADA) criteria for prediabetes. RESEARCH DESIGN AND METHODS: This is a multicenter (n = 22 sites), randomized, double-blind, placebo-controlled, primary prevention clinical trial testing effects of oral daily 4,000 IU cholecalciferol (D(3)) compared with placebo on incident diabetes in U.S. adults at risk for diabetes. Eligible participants were at risk for diabetes, defined as not meeting criteria for diabetes but meeting at least two 2010 ADA glycemic criteria for prediabetes: fasting plasma glucose (FPG) 100–125 mg/dL, 2-h postload glucose (2hPG) after a 75-g oral glucose load 140–199 mg/dL, and/or a hemoglobin A(1c) (HbA(1c)) 5.7–6.4% (39–46 mmol/mol). RESULTS: A total of 2,423 participants (45% of whom were women and 33% nonwhite) were randomized to cholecalciferol or placebo. Mean (SD) age was 59 (9.9) years and BMI 32 (4.5) kg/m(2). Thirty-five percent met all three prediabetes criteria, 49% met the FPG/HbA(1c) criteria only, 9.5% met the 2hPG/FPG criteria only, and 6.3% met the 2hPG/HbA(1c) criteria only. Black participants had the highest mean HbA(1c) and lowest FPG concentration compared with white, Asian, and other races (P < 0.01); 2hPG concentration did not differ among racial groups. When compared with previous prediabetes cohorts, the D2d cohort had lower mean 2hPG concentration but similar HbA(1c) and FPG concentrations. CONCLUSIONS: D2d will establish whether vitamin D supplementation lowers risk of diabetes and will inform about the natural history of prediabetes per contemporary ADA criteria.

Adipose tissue (AT)-specific inflammation is considered to mediate the pathological consequences of obesity and macrophages are known to activate inflammatory pathways in obese AT. Because cyclooxygenases play a central role in regulating the inflammatory processes, we sought to determine the role of hematopoietic cyclooxygenase-1 (COX-1) in modulating AT inflammation in obesity.Bone marrow transplantation was performed to delete COX-1 in hematopoietic cells. Briefly, female wild type (wt) mice were lethally irradiated and injected with bone marrow (BM) cells collected from wild type (COX-1+/+) or COX-1 knock-out (COX-1-/-) donor mice. The mice were fed a high fat diet for 16 weeks.The mice that received COX-1-/- bone marrow (BM-COX-1-/-) exhibited a significant increase in fasting glucose, total cholesterol and triglycerides in the circulation compared to control (BM-COX-1+/+) mice. Markers of AT-inflammation were increased and were associated with increased leptin and decreased adiponectin in plasma. Hepatic inflammation was reduced with a concomitant reduction in TXB2 levels. The hepatic mRNA expression of genes involved in lipogenesis and lipid transport was increased while expression of genes involved in regulating hepatic glucose output was reduced in BM-COX-1-/- mice. Finally, renal inflammation and markers of renal glucose release were increased in BM-COX-1-/- mice.Hematopoietic COX-1 deletion results in impairments in metabolic homeostasis which may be partly due to increased AT inflammation and dysregulated adipokine profile. An increase in renal glucose release and hepatic lipogenesis/lipid transport may also play a role, at least in part, in mediating hyperglycemia and dyslipidemia, respectively.

Aims: Cognitive decline disproportionately affects older adult type 2 diabetes. We tested whether randomized intensive glucose-lowering reduces the rate(s) of cognitive decline in adults with advanced type 2 diabetes (mean: age, 60 years; diabetes duration, 11 years) from the Veterans Affairs Diabetes Trial. Methods: A battery of neuropsychological tests (digit span, digit symbol substitution (DSym), and Trails-making Part B (TMT-B)) was administered at baseline in ~1700 participants and repeated at year 5. Thirty-six risk factors were evaluated as predictors of cognitive decline in multivariable regression analyses.Results: The mean age-adjusted, DSym or TMT-B declined significantly in all study participants (P < 0.001). Randomized intensive glucose-lowering did not significantly alter the rate of cognitive decline. The final model of risk factors associated with 5-year decline in age-adjusted TMT-B included as significant predictors: longer baseline diabetes duration (beta = -0.028; P = 0.0057), lower baseline diastolic blood pressure (beta = 0.028; P < 0.001), and baseline calcium channel blocker medication use (beta = -0.639; P < 0.001). Higher baseline pulse pressure was significantly associated with decline in age-adjusted TMT-B suggesting a role for both higher systolic and lower diastolic blood pressure. Baseline thiazide diuretic use (beta= -0.549; P =0.015) was an additional significant predictor of 5-year decline in age-adjusted digit symbol score. Post-baseline systolic blood pressure-lowering was significantly associated (P < 0.001) with decline in TMT-B performance. There was a significant inverse association between post-baseline plasma triglyceride- lowering (P = 0.045) and decline in digit symbol substitution task performance.Conclusions: A five-year period of randomized intensive glucose-lowering did not significantly reduce the rate of cognitive decline in older-aged adults with type 2 diabetes. Systolic and diastolic blood pressure as well as plasma triglycerides were modifiable risk factors of the rate of cognitive decline in older adult type 2 diabetes.

We sought to determine whether a combination of purified n-3 fatty acids (n-3) and SC-560 (SC), a cyclooxygenase-1-specific inhibitor, is effective in ameliorating nonalcoholic fatty liver disease in obesity. Female wild-type mice were fed a high-fat and high-cholesterol diet (HF) supplemented with n-3 in the presence or absence of SC. Mice treated with SC alone exhibited no change in liver lipids, whereas n-3-fed mice tended to have lower hepatic lipids. Mice given n-3+SC had significantly lower liver lipids compared with HF controls indicating enhanced lipid clearance. Total and sulfated bile acids were significantly higher only in n-3+SC-treated mice compared with chow diet (CD) controls. Regarding mechanisms, the level of pregnane X receptor (PXR), a nuclear receptor regulating drug/bile detoxification, was significantly higher in mice given n-3 or n-3+SC. Studies in precision-cut liver slices and in cultured hepatoma cells showed that n-3+SC enhanced not only the expression/activation of PXR and its target genes but also the expression of farnesoid X receptor (FXR), another regulator of bile synthesis/clearance, indicating that n-3+SC can induce both PXR and FXR. The mRNA level of FGFR4 which inhibits bile formation showed a significant reduction in Huh 7 cells upon n-3 and n-3+SC treatment. PXR overexpression in hepatoma cells confirmed that n-3 or SC each induced the expression of PXR target genes and in combination had an enhanced effect. Our findings suggest that combining SC with n-3 potentiates its lipid-lowering effect, in part, by enhanced PXR and/or altered FXR/FGFR4 signaling.

Kidney transplantation is being performed more frequently for individuals with end stage renal disease (ESRD) due to improved survival and quality of life compared to long-term dialysis. Though rates decrease after transplant, cardiovascular disease (CVD) remains the most common cause of death after kidney transplant. New-onset diabetes after transplant (NODAT), a common complication following kidney transplantation, and pre-transplant diabetes both significantly increase the risk for CVD. Several other risk factors for CVD in kidney transplant recipients have been identified; however, optimal therapy for controlling the risk factors of CVD after kidney transplantation, including NODAT and pre-transplant diabetes, is not well defined. In the following review we will discuss the role of traditional and non-traditional risk factors in CVD after kidney transplant and the mechanisms involved therein. We will also examine the current literature regarding treatment of these risk factors for the prevention of CVD. Finally, we will review the current recommendations for pre- and post-transplant cardiovascular evaluation and management.

Diabetes is at epidemic proportions in the U.S. Patients with diabetes are at increased risk for micro- and macrovascular complications. The benefit of glycemic control in decreasing the risk for microvascular disease is well established. However, the role of glycemic control in decreasing macrovascular complications has been controversial. Several large clinical trials looking at this issue have either shown no benefit or even potential harm. The possibility of hypoglycemia as a risk factor for cardiovascular events is a topic of much debate. In this review article, we discuss the evidence for and against this hypothesis and the possible mechanisms that might be involved. Patients with diabetes have an increased risk of cardiovascular disease. The link between glycemic control and microvascular complications has been firmly established (1,2). However, the association between glycemic control and macrovascular disease is mainly obtained from epidemiological studies, and intensive glucose control has often failed to reduce macrovascular events. Intensive glucose control invariably increases the risk of hypoglycemia and sometimes the severity of hypoglycemia (2) Several epidemiological studies and smaller prospective studies have linked hypoglycemia to increased cardiovascular risk (3⇓–5). Recent large randomized trials looking at intensive glycemic control have either shown no benefit (Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation [ADVANCE] and Veterans Affairs Diabetes Trial [VADT]) or increased all cause mortality (Action to Control Cardiovascular Risk in Diabetes [ACCORD]) (6). While the reason for the increased mortality is unclear and hypoglycemia has not been implicated as a cause of death, these studies have increased the debate about the degree of glycemic control required to decrease diabetes complications and the role of hypoglycemia in cardiovascular morbidity and mortality. The modern definition of hypoglycemia is plasma glucose

Evaluate the performance of glycated albumin (GA) monitoring by comparing it to other measures of glycemic control during intensification of antidiabetic therapy.This 12-week, prospective, multicenter study compared the diagnostic clinical performance of GA to glycated hemoglobin A1C (A1C), fructosamine corrected for albumin (FRA), fasting plasma glucose (FPG), and mean blood glucose (MBG) estimated from self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) in 30 patients with suboptimally controlled type 1 or 2 diabetes.Mean A1C decreased from 9.5% to 8.1%. Mean SMBG correlated closely with CGM (Pearson r = 0.783 for daily estimates and r = 0.746 for weekly estimates, P.0001). Both GA and FRA levels significantly correlated with changes from baseline in A1C and mean weekly SMBG (P.001). The lowest observed median GA occurred at 4 weeks, followed by a small increase and then a slight reduction, mirroring changes in overall mean SMBG values. The median A1C fell throughout the treatment period, failing to reflect short-term changes in SMBG. A ≥1% reduction in GA at 4 weeks was significantly associated with a ≥0.5% change in A1C at 12 weeks (odds ratio [OR] = 19.0, 95% confidence interval [CI]: 1.4, 944, P = .018).In patients receiving glucose-lowering therapy, changes in GA at 4 weeks were concordant with changes in A1C at 12 weeks, and both GA and FRA more accurately reflected short-term blood glucose fluctuations than A1C.

OBJECTIVE—In some studies intensive diabetes treatment in patients with type 2 diabetes may be associated with increased cardiovascular events. It is not clear whether these events are related to hypoglycemic episodes. To determine whether episodes of hypoglycemia were more likely to be associated with cardiac ischemia than normoglycemia or hyperglycemia, we carried out a study in 21 patients with coronary artery disease (CAD) and type 2 diabetes treated with insulin who had good glycemic control. RESEARCH DESIGN AND METHODS—We carried out 72-h continuous glucose monitoring along with simultaneous cardiac Holter monitoring for ischemia. Patients also recorded symptoms of cardiac ischemia (chest pain) and symptoms of hypoglycemia. RESULTS—Satisfactory continuous glucose monitoring system recordings were obtained in 19 patients. We recorded 54 episodes of hypoglycemia (blood glucose 200 mg/dl; none symptomatic). Of the 54 episodes of hypoglycemia, 10 were associated with symptoms of chest pain, during 4 of which electrocardiographic abnormalities were documented. In contrast, only 1 episode of chest pain occurred during 59 episodes of hyperglycemia. No chest pain or electrocardiographic abnormalities occurred when the blood glucose was within the normal range. The difference between the frequency of ischemia during hypoglycemia and the frequency during both hyperglycemia and normoglycemia was statistically significant (P < 0.01). There were 50 episodes during which the blood glucose changed by >100 mg over a 60-min period, and ischemic symptoms occurred during 9 of these episodes (P < 0.01 compared with stable normoglycemia or hyperglycemia). CONCLUSIONS—Hypoglycemia is more likely to be associated with cardiac ischemia and symptoms than normoglycemia and hyperglycemia, and it is particularly common in patients who experience considerable swings in blood glucose. These data may be important in the institution of insulin treatment and attempting near-normal glycemia in patients with known CAD. Further research is needed to determine strategies to prevent ischemia associated with hypoglycemia.

OBJECTIVE—Flow-mediated dilatation (FMD), induced by occlusion of the brachial artery, is an index of nitric oxide-dependent endothelial function that is impaired in patients with type 2 diabetes. Sildenafil (Viagra) is an inhibitor of phosphodiesterase 5 (PDE-5), which is used for management of erectile dysfunction in a broad range of patients, including those with type 2 diabetes. Its effects on endothelial function in these patients have not been previously assessed.RESEARCH DESIGN AND METHODS—We assessed the acute and prolonged effects of a low dose of sildenafil (25 mg) on FMD in patients with type 2 diabetes. We performed a double-blind, placebo-controlled cross-over trial in 16 patients (14 of whom completed the study) with type 2 diabetes who had erectile dysfunction without overt clinical heart disease.RESULTS—In these patients, the mean ± SD brachial artery diameter (BAD) measured by ultrasound was 4.33 ± 0.6 mm. After inducing FMD, the BAD increased 8% to 4.66 ± 0.6 mm (P = 0.2). One hour after oral administration of sildenafil 25 mg, FMD increased the BAD significantly by 15% to 4.99 ± 0.5 mm (P ≤ 0.01), whereas it did not change with placebo (4.6 ± 0.6 mm, P = 0.1). After treatment with sildenafil 25 mg daily for 2 weeks and testing 24 h after the last dose, the mean FMD was 14% (P = 0.01). In contrast, the mean FMD with placebo was 9% (P = 0.45).CONCLUSIONS—We conclude that acute and prolonged sildenafil treatment has a favorable effect on brachial artery flow-mediated dilatation that persists for at least 24 h after the last dose. Further investigation is needed to determine whether this prolonged effect has clinical implications in patients with type 2 diabetes.

We studied the effect of troglitazone on the plasma concentrations of homocysteine (tHcy), the erythrocyte and hepatic concentrations of S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH), and the hepatic activities of cystathionine-beta-synthase (C beta S) and methylenetetrahydrofolate reductase (MTHFR) in lean and fatty Zucker rats (a model of insulin resistance). Four groups of female Zucker rats were studied. Troglitazone (200 mg/kg) was administered by gavage daily for 3 weeks to lean and fatty Zucker rats. The other 2 groups served as controls. The blood parameters were determined at days 0, 10, and 21. The hepatic SAM and SAH concentrations and MTHFR and C beta S were measured in the 3-week liver samples. Plasma homocysteine fell significantly in all troglitazone-treated animals from a mean +/- SD of 7.6 +/- 1.5 micromol/L to 4.5 +/- 1.1 micromol/L (P

Hypoglycemia in the inpatient setting is a common occurrence with potentially harmful outcomes. Large trials in both the inpatient and outpatient settings have found a correlation between hypoglycemia and morbidity and mortality. The incidence of hypoglycemia is difficult to assess, due to a lack of standardized definitions and different methods of data collection between hospital systems. Risk factors that predispose to hypoglycemia involve the changing clinical statuses of patients, nutrition issues, and hospital processes. Mechanisms contributing to morbidity due to hypoglycemia may include an increase in sympathoadrenal responses, as well as indirect changes affecting cytokine production, coagulation, fibrinolysis, and endothelial function. Prevention of hypoglycemia requires implementation of several strategies that include patient safety, quality control, multidisciplinary communication, and transitions of care. In this article, we discuss all of these issues and provide suggestions to help predict and prevent hypoglycemic episodes during an inpatient stay. We address the issues that occur upon admission, during the hospital stay, and around the time of discharge. We believe that decreasing the incidence of inpatient hypoglycemia will both decrease costs and improve patient outcomes.