58th EASD Annual Meeting of the European Association for the Study of Diabetes : Stockholm, Sweden, 19 - 23 September 2022.

261 Glutamate decarboxylase autoantibody characteristics can stratify those at risk of early insulin requirement in adult-onset type 2 diabetes S.L. Grace 1 , A.E. Long 2 , K.M. Gillespie 2 , A.J.K. Williams 2 , V. Lampasona 3 , P. Achenbach 4 , E.R. Pearson 5 , T.J. McDonald 1 , A.G. Jones 1 ; 1 University of Exeter, Exeter, UK, 2 University of Bristol, Bristol, UK, 3 Istituto Scientifico San Raffaele, Milan, Italy, 4 Helmholtz Zentrum München, Munich, Germany, 5 University of Dundee, Dundee, UK. Background and aims: Autoantibodies to full length glutamate decarboxylase 65 autoantibodies (GADA(1-585)), are the most commonly detected islet autoantibodies in adults diagnosed with type 2 diabetes (T2D), but progression to insulin therapy within this group is highly variable. We aimed to investigate whether analysis of GADA characteristics can improve identification of early insulin requirement in adult-onset GADA positive diabetes. Materials and methods: Adult-onset patients diagnosed with T2D (n=6814) were screened for GADA(1-585) positivity using the RSR ELISA; 198 tested positive. Positive sera were subsequently tested for the truncated (t)GADA(96-585) epitope, GADA(1-585) affinity and GADA(1-585) IgG subtype analysis (using specialised luciferase/radio immunoprecipitation assays). GADA characteristics were compared between those diagnosed with T2D with (n=77) and without (n=121) early insulin requirement (<5 years from diagnosis), and with GADA(1-585) positive type 1 diabetes (T1D) (n=144). We compared the performance of full length GADA(1-585), tGADA(96-585) positivity, high/low GADA(1-585) affinity and presence of GADA(1-585) IgG subtypes in predicting early insulin requirement using survival analysis. Results: Positivity for tGADA(96-585) was similar between individuals with T1D and those with early insulin requiring T2D (91% vs. 95% respectively), compared with those without early insulin requirement (75%, p<0.00001). tGADA(96-585) positivity identified a group diagnosed younger (median 55 years vs. 64 years, p<0.002), with a higher type 1 diabetes genetic risk score (median 0.256 vs. 0.216, p=2.9x10 -5 ), lower c-peptide levels (1037 pmol/L vs. 3300 pmol/L, p=0.006) and increased positivity for IA-2A (23% vs. 5%, p=0.01) than those positive only to GADA(1-585). In survival analysis, positivity for tGADA(96-585) stratified those at higher risk of early insulin requirement (HR 2.22 [95% CI 1.32-3.74] p=0.003). High GADA(1-585) affinity did not stratify those with early insulin requirement (HR 1.68 [95% CI 0.91-3.1], p=0.09) but the presence of the IgG1 GADA(1-585) subtype was associated with early insulin requirement when compared with IgG unrestricted subtypes (HR 2.15 [95% CI 1.16-4.01], p=0.016). Conclusion: tGADA(96-585) epitope specificity can distinguish those with GADA(1-585) positive clinically diagnosed T2D who have the genetic and C-peptide characteristics of T1D and rapid progression to insulin therapy. Strategic testing for GADA epitopes and subclasses will predict those with adult-onset diabetes at risk of rapid progression to insulin therapy. Supported by: The Novo Nordisk UK Research Foundation Disclosure: S.L. Grace: None. 262 GLP-1R modulates the alloimmune response as a T cells negative costimulatory molecule V. Usuelli 1 , M. Ben Nasr 1 , A. Seelam 1 , V. Fiorentino 2 , F. D'Addio 1 , C. Loretelli 1 , E. Assi 1 , G. Zuccotti 1 , F. Folli 3 , P. Fiorina 1 ; 1 Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, DIBIC, University of Milan, Milan, 2 University of Catanzaro, Catanzaro, 3 University of Milan, ASST Santi Paolo e Carlo, Milan, Italy. Background and aims: Glucagon Like Peptide-1 (GLP-1) regulates glucose metabolism by activating its receptor (GLP-1R), which is expressed by pancreatic beta-cells, gastric mucosa and the hypothalamic appetite center. A GLP-1R agonist, Exendin-4 (Exe-4), has reduced the incidence and severity of severe diabetes complications. Beside these metabolic effects, an increasing body of evidences suggests that GLP-1R may have a role in the immune system. GLP-1R expression has been detected in various populations of immune cells, including dendritic cells and T lymphocytes. However, there is no conclusive evidence about a possible immune role of GLP-1R and its signaling. In this present study, we seek to clarify the role of GLP-1R in T lymphocytes during the alloimmune response using murine models of islet and cardiac allotransplantation. Materials and methods: Cardiac allografts from BALB/c mice were transplanted intra-abdominally in C57BL/6 mice. Rejection was determined as cessation of cardiac contractility. Pancreatic islets from BALB/c mice were inoculated under the renal capsule of each C57BL/6 recipient rendered diabetic with streptozotocin. Rejection of islet allografts was defined as blood glucose levels >250 mg/dl. Transplanted mice were intraperitoneally injected according to the following protocols: 1) Exe-4 0.2μg; 3) Exe-4 2μg; 4) Exe-4 2μg + Exe-9-39 2μg; 5) Exe-4 2μg + Rapamycin 0.1mg; 6) saline. Kaplan-Meier analysis was used for analysis of survival. When two groups were compared, a two-sided unpaired Student t test or a Mann-Whitney test was used. Results: Our data showed that CD4 and CD8 T lymphocytes expressed GLP-1R (human T cells: CD4+=6%, CD8+=28%; murine T cells: CD4+=6%, CD8+=4,5%). The presence of a discrete GLP-1R+ population was mainly confined to CD4+, CD8+ effector T cells and to CD4+ regulatory T cells. When C57BL/6 mice received islet or cardiac allotransplantation from a fully mismatched BALB/c donors, an expansion of GLP-1R+CD4+ and GLP-1R+CD8+ T cells occurred in the spleen and were found to infiltrate the graft at high percentage. The treatment with Exendin-4 significantly prolonged islet (p≤0.001) and cardiac allograft survival (p<0.01), and reduced graft T lymphocytes infiltrates. A strong synergism in mitigating alloimmunity was observed between Exendin-4 and Rapamycin showing a prolongation of graft survival (p≤0.0001). The beneficial effects of Exendin-4 were partly abolished by the co-administration of its antagonist Exendin 9-39. To get further insight into the molecular mechanism responsible for T cell modulation by GLP-1R, we observed that mitogen stimulation of splenocytes rendered CD4+GLP-1R+ and CD8+GLP-1R+ T cells more apoptotic as compared to their negative counterparts. Notably, our transcriptomic profiling on CD4+GLP-1R+ and CD8+GLP-1R+ T cells revealed their tendency toward an apoptotic and anergic profile as compared to their counterparts CD4+GLP-1R- and CD8+GLP-1R- T cells. Conclusion: Altogether, our findings suggested that GLP-1R appeared to act as a negative costimulatory molecule and the GLP-1R agonist Exendin-4 prolongs allograft survival, mitigates alloimmunity during alloimmune response, reduces T lymphocytes graft infiltration and skews the effector/regulatory T cell balance. Disclosure: V. Usuelli: None. 263 Targeting pancreatic islet NLRP3 improves islet graft revascularisation in an insulin-dependent manner S. Wrublewsky , T. Speer, L. Nalbach, A.S. Boewe, M. Pack, L.P. Roma, M.D. Hoffmann, B.M. Schmitt, A. Weinzierl, M.D. Menger, M.W. Laschke, E. Ampofo; Universität des Saarlandes, Homburg, Germany. Background and aims: Hypoxia-induced cell death, which is caused by an insufficient revascularization of the grafts, is a major problem of pancreatic islet transplantation. It has been reported that the loss of the nucleotide-binding oligomerization domain (NOD)-like receptor protein (NLRP)3 inflammasome protects islets against hypoxia-induced cell death and enhances insulin secretion. Therefore, we hypothesized that the inhibition of NLRP3 improves pancreatic islet transplantation. Materials and methods: Islets were isolated from wild type (WT), Nlrp3 -/- and caspase ( Casp)1 -/- mice and cultured for 24 hours. Moreover, isolated WT islets were cultivated with or without the NLRP3 inhibitor CY-09 for 24 hours. The viability and cellular composition of the islets were analyzed by flow cytometry and immunohistochemistry. The effect of NLRP3 on angiogenesis was studied by tube formation, aortic ring and spheroid sprouting assays. Insulin secretion was determined by an enzyme-linked immunosorbent assay (ELISA) and insulin expression by quantitative real-time (qRT)-PCR, Western blot and co-immunoprecipitation. In vivo , islets were transplanted into mouse dorsal skinfold chambers and their revascularization was assessed by intravital fluorescence microscopy during a 14-day observation period. Moreover, we used the streptozotocin-induced diabetic model for evaluating the endocrine function of the grafts. Results: We found that Nlrp3 deficiency and loss of NLRP3 activity do not affect the viability and cellular composition of the islets. WT islets exposed to CY-09 as well as transplanted Nlrp3 -/- islets exhibited a higher functional microvessel density (442 ± 18 cm/cm 2 and 400 ± 9 cm/cm 2 ) when compared to controls (413 ± 21 cm/cm 2 and 365 ± 8 cm/cm 2 ). The fraction of intra-islet endothelial cells within the Nlrp3 -/- and WT exposed to CY-09 grafts was significantly increased (21 ± 2% and 20 ± 3%) when compared to their corresponding controls (10 ± 2% and 9 ± 2%). Additional in vitro analyses revealed that NLRP3-dependent insulin release stimulates angiogenesis. We could further shown, that the loss of NLRP3 in hypoxic islets triggers insulin gene expression by inducing the shuttling of MafA and pancreatic and duodenal homeobox (PDX)-1 into the nucleus. This was mediated by a reduced interaction of NLRP3 with the thioredoxin-interacting protein (TXNIP). Transplantation of Nlrp3 -/- islets or WT islets exposed to CY-09 under the kidney capsule of diabetic mice accelerated the restoration of normoglycemia (165 ± 23 mg/dL and 165 ± 21 mg/dL) when compared to controls (314 ± 28 mg/dL and 308 ± 38 mg/dL). In contrast, transplantation of Casp1 -/- islets did not restore physiological blood glucose levels (217 ± 37 mg/dL). Conclusion: This study demonstrates that suppression of NLRP3 in isolated islets markedly improves their revascularization after transplantation in an insulin-dependent manner. Disclosure: S. Wrublewsky: None. 264 Metabolic stress by high fat diet increased diabetes incidence in the LEW.1AR1-IDDM rat model of autoimmune diabetes without trigger by systemic inflammation J.-N. Dahmen 1,2 , T. Schöppe 2 , M. Tiedge 2 ; 1 Dept. of Internal Medicine and Cardiology | CVK, Charité - Universitätsmedizin Berlin, Berlin, 2 Dept. of Medical Biochemistry & Molecular Biology, Rostock University Medical Center, Rostock, Germany. Background and aims: Metabolic stress and systemic inflammation are not only considered factors in the pathogenesis of non-insulin dependent diabetes mellitus (NIDDM) but may also play a role in the activation of autoaggressive T-cells in autoimmune diabetes. The crosstalk between metabolism, immune system and beta cells may affect the trigger period of autoimmunity. To clarify the mechanisms of metabolic stress on beta cell autoimmunity we fed a hypercaloric high fat diet (HFD) to LEW.1AR1- iddm rats. This strain develops spontaneous autoimmune diabetes beginning at about 60 days of age. Infiltration of pancreatic islets starts within a narrow time frame between 40 and 45 days of life. We investigated the effect of the HFD high fat diet on the inflammatory and metabolic state during the development of beta cell autoimmunity. We also tested whether a HFD increases the incidence of diabetes and diabetes onset occurs earlier in life. Materials and methods: LEW.1AR1- iddm rats and diabetes-resistant LEW.1AR1 rats received a high fat diet (HFD; 60 % of energy from fat) or a standard diet (SD; 9 % of energy from fat). Key parameters of metabolism (indirect calorimetry; body weight; blood glucose) and systemic inflammation (gene expression patterns in peripheral blood mononuclear cells -PBMCs) were determined at different ages between day 35 and 60. Animals were monitored for hyperglycemia until the age of 120 days. Results: Under standard diet LEW.1AR1- iddm rats showed higher gain of body weight and higher respiratory quotients than the diabetes-resistant background strain. Gene expression signatures in PBMCs were characterized by proinflammatory cytokines IL-1β and IFN-γ at the beginning of insulitis. After day 50 low levels of FOXP3 expression and an increase of T-cell markers could be observed. The HFD lowered the respiratory quotient to 0.7 and resulted in a higher energy uptake, metabolic rate and activity scores in both strains. Prediabetic LEW.1AR1- iddm rats showed significantly lower blood glucose concentrations and a lower gain of body weight under HFD. Interestingly, expression of pro-inflammatory ( IFN-γ, IL-1β, IL-6, IL-17 ) and anti-inflammatory ( IL-4; FOXP3 ) genes of PBMCs were significantly lower under HFD. The median diabetes-free survival was 79 days in LEW.1AR1- iddm rats under SD (n = 49) and 71 days under HFD (n = 22). LEW.1AR1- iddm rats on HFD had a higher incidence of diabetes in comparison to the SD (95 % vs. 65 %). Log rank test showed significant differences of diabetes free survival between the two diets (p = 0.019). Conclusion: A HFD increased the incidence of diabetes with earlier onset in LEW.1AR1- iddm rats. In contrast to the situation in T2D, an increase in systemic inflammation does not seem to be responsible for the increased beta cell autoimmunity. However, possible mechanisms may be due to the functional overload of beta cells by metabolic stress, which promotes the recruitment of autoaggressive T-cells via enhanced release of antigens. Supported by: DDG (German Diabetes Foundation) Disclosure: J. Dahmen: Grants; Supported by German Diabetes Foundation (DDG).

871 Metabolism of valvular interstitial cells is glucose dependent and susceptible to different diabetic conditions M. Barth 1 , J.I. Selig 1 , H.V. Krug 1 , C. Küppers 1 , D.M. Ouwens 2,3 , A. Lichtenberg 1 , P. Akhyari 1 ; 1 Department of Cardiac Surgery, University Hospital of the Heinrich-Heine-University Düsseldorf, Düsseldorf, 2 Institute of Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Düsseldorf, 3 German Center for Diabetes Research (DZD), München-Neuherberg, Germany. Background and aims: Diabetes is a risk factor for the development of calcific aortic valve disease. Previous studies showed that the main cell type of aortic heart valves, the valvular interstitial cells (VIC), are susceptible to diabetic conditions such as hyperglycaemia and hyperinsulinemia in terms of impaired glycolysis and mitochondrial respiration. Since knowledge about VIC metabolism especially in the context of diabetes is still scarce, the aim of the present study was to evaluate the utilization and dependency of different fuels of VIC under diabetic conditions. Materials and methods: Primary VIC of n = 6-7 individual sheep were cultured under normoglycemic and under diabetic conditions (4.5 g/L glucose and 100 nM insulin) for six days. Mitochondrial function and determinants of glycolysis dependent on different mitochondrial fuels like glucose, glutamine and fatty acids were measured using a Seahorse XFe96 extracellular flux analyser. Glycolytic metabolites were analysed by determination of glucose-6-phosphate, pyruvate and lactate with respect to a detailed examination of the impact of hyperinsulinemia (HI), hyperglycaemia (HG) and the combination of both (HI+HG). Results: Analysis of the glycolytic rate of VIC showed that basal glycolysis is increased by diabetic conditions (p<0.001) independent of the offered fuel. Induced glycolysis was upregulated under diabetic conditions when VIC were restricted to glutamine (p<0.01) or fatty acids (p<0.0001). Analysis of mitochondrial respiration showed that basal respiration is increased by diabetic conditions (p<0.0001) independent of different fuels. Restriction to fatty acids led to a reduction in maximal respiration (p<0.05) and spare respiratory capacity (p<0.01) of VIC under diabetic conditions. ATP production, in contrast, was not altered by the offered fuels but significantly increased by diabetic conditions (p0.9999) or HI+HG (p=0.059). Pyruvate concentration was significantly decreased by HI (p=0.005), but not by HG (p>0.9999) or HI+HG (p=0.384). Relative quotient of lactate/protein remained unchanged. Conclusion: Basal mitochondrial respiration and glycolysis is impaired by diabetic conditions, whereas VIC are able to compensate fuel restrictions. Restriction to glutamine or fatty acids, in contrast, impairs the ability of VIC to maintain their metabolic potential under diabetic conditions. These findings are indicative for glucose being the main metabolic fuel of VIC. Moreover, the content of VIC glucose metabolites is affected by different diabetic stimuli, indicating that glucose metabolism of VIC is diversely susceptible to HI and HG. Supported by: DFG Disclosure: M. Barth: Grants; German Research Foundation (DFG). 872 Influence of glycaemic status on the risk of cardiovascular events after a myocardial infarction M. Wijkman 1 , B. Claggett 2 , K. Jering 2 , M. Yilmaz 3 , M. Claeys 4 , C. De Pasquale 5 , P. Kerkar 6 , T. Moccetti 7 , M. Ntsekhe 8 , D. Sim 9 , M. Studenčan 10 , M. Tokmakova 11 , A. Zaman 12 , Y. Zhou 13 , E. Lewis 14 ; 1 Linköping University, Norrköping, Sweden, 2 Brigham and Women´s Hospital, Harvard Medical School, Boston, USA, 3 Dokuz Eylul University, Izmir, Turkey, 4 University Hospital Antwerp, Edegem, Belgium, 5 Flinders Medical Centre, Adelaide, Australia, 6 Asian Heart Institute and Research Center, Mumbai, India, 7 Cardiocentro Ticino, Lugano, Switzerland, 8 University of Cape Town, Cape Town, South Africa, 9 National Heart Centre, Singapore, Singapore, 10 Teaching Hospital of J.A. Reiman, Prešov, Slovakia, 11 Medical University of Plovdiv, Plovdiv, Bulgaria, 12 Newcastle University, Newcastle, UK, 13 Novartis Pharmaceutical Corporation, East Hanover, USA, 14 Stanford University School of Medicine, Palo Alto, USA. Background and aims: Survivors of myocardial infarction (MI) with a prior diagnosis of diabetes are more likely to develop heart failure (HF) and to experience other cardiovascular (CV) events. Less is known about the CV risk in MI survivors with pre-diabetes or screen-detected diabetes. The aim of this study was to assess the association between glycemic status and CV events in a population of patients with a recent MI and elevated risk of HF. Materials and methods: In 5661 participants in the PARADISE-MI (Prospective ARNI vs. ACE inhibitor trial to Determine Superiority in reducing heart failure Events after Myocardial Infarction) trial, glycemic status was determined at baseline according to prior medical history and HbA1c values (no diabetes=no prior diagnosis of diabetes and HbA1c <5.7%, pre-diabetes=no prior diagnosis of diabetes and HbA1c 5.7-6.4%, screen-detected diabetes=no prior diagnosis of diabetes and HbA1c ≥6.5%, prior diabetes=prior diagnosis of diabetes regardless of HbA1c). Incidence rates for two adjudicated composite outcomes (CV death/outpatient symptomatic HF/HF leading to hospitalization, and CV death/MI/stroke) were estimated. Results: During a median follow-up time of 22 months, the incidence rates of HF or CV death was 4.6/100 person-years in those without diabetes (n=1401), 6.5/100 person-years in those with pre-diabetes (n=1576), 7.8/100 person-years in those with screen-detected diabetes (n=283) and 9.0/100 person-years in those with a prior diagnosis of diabetes (n=2401). The corresponding incidence rates for MI/stroke/CV death were 4.4, 5.7, 6.3 and 8.4 per 100 person-years, respectively. After adjustment for additional markers of increased risk, only prior diabetes remained significantly associated with increased risk for both outcomes (adjusted HR for HF/CV death: 1.87, 95% CI 1.52-2.31, P<0.001, and for MI/stroke/CV death: 1.81, 95% CI 1.46-2.23, P<0.001). Conclusion: In people with a recent MI and additional risk factors for development of HF, incidence rates of CV events were higher in those with a more severe hyperglycemic phenotype. This underscores the importance of early detection of glycemic abnormalities after an MI. Clinical Trial Registration Number: NCT02924727 Supported by: The PARADISE-MI study was funded by Novartis Disclosure: M. Wijkman: Lecture/other fees; Advisory boards or lectured for MSD, Lilly, NovoNordisk, and Sanofi. 873 Physical activity and diastolic dysfunction in people with with type 2 diabetes A.G. Hoek 1 , I.R. Jankipersad 1 , E. Dal Canto 1,2 , N.R. den Braver 1 , R. Meer 1 , P.J.M. Elders 3 , J.W.J. Beulens 1,4 ; 1 Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, 2 Department of Experimental Cardiology, University Medical Center Utrecht, Utrecht, 3 Department of General Practice and Elderly Care Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, 4 Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands. Background and aims: Heart failure with preserved ejection fraction (HFpEF) is an emerging epidemic, which is especially prevalent in people with type 2 diabetes. In the general population, lower levels of physical activity (PA) have been associated with a higher risk of overall heart failure and left ventricular diastolic dysfunction (LVDD). However, the association between PA, HFpEF and LVDD has never been investigated in a population of people with type 2 diabetes. Materials and methods: We performed a cross-sectional analysis on 239 participants with type 2 diabetes from the Diabetes Care System cohort, who had no prior diagnosis of heart failure. Percentage of time in moderate-to-vigorous (% in MVPA) of total PA was assessed with accelerometers, wore for 7 days. LVDD was echocardiographically assessed by measuring E/e’ ratio, pulmonary artery pressure, left ventricular mass index and left atrial volume index. Furthermore, the continuous H 2 FPEF score estimating the probability of HFpEF - using the estimated pulmonary artery pressure, E/e’ ratio, presence of atrial fibrillation, age and body mass index (BMI) - was calculated. Multivariate linear regression models, adjusted for sex, age, BMI, hypertension, hyperlipidemia and diabetes duration were used to analyze the cross-sectional relationship between PA and echocardiographic markers, and effect modification for sex was investigated. For the cross-sectional analysis between PA and the continuous H 2 FPEF score a similar analysis was used, but BMI was left out of the models since it is embedded in the H 2 FPEF score. Results: A 1.0% higher MVPA was significantly associated with a 9.09% decrease in the H 2 FPEF score (95% CI -14.09;-4.09) for women in the fully adjusted model. For men, no associations were found (-0.67; 95% CI: -3.07;1.73). However, in a separate analysis, a strong association between % in MVPA and BMI (-0.98; 95% CI: -1.54; -0.41) was found, suggesting that the results might be partly driven by BMI. No associations were found between PA and single markers of LVDD; mean E/e’ (-0.003; 95% CI: -0.016;0.010); left atrial volume index (0.013; 95% CI: 0.061;-0.001); left ventricular mass index (0.006; 95% CI: -0.005;0.016) and estimated pulmonary artery pressure (-0.01; 95% CI: -0.048;0.027). Conclusion: In this study we found that increased PA was associated with a lower H2FPEF score in women with type 2 diabetes. This association was not confirmed when investigating the separate echocardiographic markers of LVDD. Given the strong association between % in MVPA and BMI the found association with the H2FPEF score might be partly driven by BMI. Supported by: ZonMW NWO-Vidi grant (91 71 8304) Disclosure: A.G. Hoek: None. 874 Glycaemic variability is associated with diastolic dysfunction in patients with type 2 diabetes Y.Y. Dzhun 1 , G.B. Mankovsky 1 , N.M. Rudenko 1,2 , Y.Y. Marushko 1 , Y.A. Saenko 1,2 , B.M. Mankovsky 1,2 ; 1 Government Institution “The Scientific and Practical Medical Center of Pediatric Cardiology and Cardiac Surgery of the Ministry of Health of Ukraine”, 2 Shupyk National Medical Academy of Postgraduate Education, Kyiv, Ukraine. Background and aims: There is convincing body of evidences that diabetes mellitus is associated with an increased risk of heart failure. However, the exact mechanisms of pathogenetic role of diabetes in the development and progression of heart failure remain not fully elucidated. In the last decade, with the widely use of continuous glucose monitoring, indicators of glycemic variability have been increasingly taken into consideration. Glycemic variability could be one of the reason predisposing to heart failure in subjects with diabetes. The aim of the study is evaluation of the relationship between glycemic variability and diastolic dysfunction in patients with type 2 diabetes mellitus without coronary artery disease. Materials and methods: Seventy-eight patients with heart failure with preserved left ventricular ejection fraction and type 2 diabetes mellitus were examined. Exclusion criteria were: clinically manifesting coronary artery disease, LV ejection fraction <50%, morbid obesity, atrial fibrillation, anemia, severe valvular heart disease (severe mitral, tricuspid, aortic, and/or pulmonary artery insufficiency/or stenosis), hyperthyroidism, hypertrophic or restrictive cardiomyopathy. Diastolic function was assessed by echocardiography; glycemic variability was evaluated by continuous monitoring of glucose. According to the glycemic variability all studied patients were divided into two groups: group I - SD> 2 (high glycemic variability), n = 40; group II - SD ≤ 1.9 (normal glycemic variability), n = 38. Results: Group I were older (49 (9) vs 46 (5); p<0.05 (the results of the study are presented as mean (SD) or absolute number (%)), with a longer duration of DM (10 (9.5) vs 6 (5.5); p<0.01). In group I compared to group II there were more patients with grade 2 of diastolic dysfunction (25 (62.5%) vs 10 (26.3), p<0.05). Patients in group I had more severe diastolic dysfunction which was characterized by an increased values of E/e', early transmitral flow rate and peak rate of tricuspid regurgitation (E/e': 14.2 (4.2) vs 12.1 (3.5); p<0.01; E, cm / s: 85 (19) vs 75.2 (22); p<0.05 and V max TR, m / s: 2.4 (0.6) vs 2.1 (0.4); p<0.05 in the 2 groups of subjects studied, respectively). In group I patients insulin and sulfonylureas were used more often (11 (27.5%) vs 0 p = 0.0001; 25 (62.5%) vs 10 (26.3%); p<0.01, resepctively); patients of group II were more often treated with iSGLT2 (2 (5%) vs 13 (34.21%); p<0.01). Conclusion: Increased glycemic variability is associated with diastolic dysfunction and could predispose to development and progression of heart failure with preserved ejection fraction. Disclosure: Y.Y. Dzhun: None. 875 Prognostic models for heart failure in patients with type 2 diabetes: a systematic review and meta-analysis G. Kostopoulos 1 , I. Doundoulakis 2 , K.A. Toulis 1,3 , T. Karagiannis 4 , A. Tsapas 4,5 , A.-B. Haidich 6 ; 1 Department of Endocrinology, 424 General Military Hospital, Thessaloniki, Greece, 2 First Department of Cardiology, Hippokration Hospital, Athens, Greece, 3 Institute of Applied Health Research, University of Birmingham, Birmingham, UK, 4 Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece, 5 Harris Manchester College, University of Oxford, Oxford, UK, 6 Department of Hygiene, Social-Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece. Background and aims: Heart failure (HF) is one of the first clinical manifestations of cardiovascular disease in patients with type 2 diabetes (T2D) and can be prevented if addressed early. Recent guidelines advocate risk stratification of patients with T2D to guide treatment decisions. Although several clinical prognostic models (CPMs) for diabetes-related outcomes exist, there is a knowledge gap regarding those predicting HF. We conducted a systematic review and meta-analysis to retrieve, critically appraise, and summarise the performance and generalisability of all available CPMs for HF in patients with T2D. Materials and methods: A systematic literature search in five electronic databases and grey literature was conducted from inception to October 2021 to identify studies developing and/or validating models predicting HF applicable to patients with T2D. A random-effects model was used for pooling measures of discrimination and 95% prediction intervals (PI) were estimated. A descriptive summary of calibration was also provided. The Prediction Model Risk of Bias Assessment Tool (PROBAST) and the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach were used to evaluate risk of bias and certainty in evidence. Results: Forty-five studies met the eligibility criteria reporting on 53 CPMs: 1) CPMs developed in patients with type 2 diabetes for prediction of heart failure (n =38), 2) CPMs originally developed in non-diabetic cohorts for heart failure prediction and externally validated in patients with type 2 diabetes (n =3) and 3) CPMs originally developed for predicting a different outcome and externally validated for heart failure (n =12). Overall, 90% of the developed CPMs and 40% of the validation efforts were at high risk of bias, mainly due to flaws in the analysis domain. Six CPMs were included in the meta-analysis with the TRS-HFDM (C-statistic = 0.79 95%CI (0.74, 0.83), 95%PI (0.61, 0.90); low certainty) and RECODe (C-statistic = 0.75 95%CI (0.72, 0.78), 95%PI (0.68, 0.81); high certainty) showing the best performance. QDiabetes-HF demonstrated also good discrimination but was externally validated only once and not meta-analysed. Conclusion: Several prognostic models are available for HF in patients with T2D, but most are at high risk of bias. Three models showed promising performance and thus, they may have a key role in current clinical practice. Disclosure: G. Kostopoulos: None. 876 Assessment of cardiovascular events in a real-world high-risk cohort with type 2 diabetes or atheroscleortic cardiovascular disease in Germany M. Verket 1 , N. Kossack 2 , J. Brandts 1 , T. Schönfelder 2,3 , K. Schütt 1 , D. Häckl 2,4 , N. Marx 1 , D. Müller-Wieland 1 ; 1 Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, 2 WIG2 – Scientific Institute for Health Economics and Health System Research, Leipzig, 3 Chair Health Sciences/Public Health, Medical Faculty, TU Dresden, Dresden, 4 Faculty of Economics and Management Science, University Leipzig, Leipzig, Germany. Background and aims: Heart failure (HF) and peripheral arterial disease (PAD) are common diseases with an impact on healthcare burden. We assessed the incidence of hospitalisation for HF, myocardial infarction (MI), stroke and PAD in a real-world high-risk cohort with type 2 diabetes (T2DM) or atherosclerotic cardiovascular disease (ASCVD) on a standard statin treatment in Germany from 2017-2019. Materials and methods: The present retrospective longitudinal analyses are based on an anonymized validated research database of WIG2, which contains linkable billing and social data of about 4 million German statutorily health insured persons. We selected three cohorts from 2017-2019 with a follow-up (FU) of 12 months: patients with ASCVD and T2DM, patients with ASCVD and without T2DM, and patients with T2DM and an ASCVD risk factor. Risk factors were defined as older patients (men ≥55 years old; women ≥65 years old), smoking, hypertension, dyslipidemia, microalbuminuria and macroalbuminuria, renal dysfunction and retinopathy within index quarter or the previous 36 months. All patients received a standard statin treatment. Patients with chronic kidney disease stage 4 or 5 within matched time range were excluded. Results: We identified 73,660 patients with ASCVD and T2DM, 100,959 patients with ASCVD and without T2DM and 29,404 patients with T2DM and a risk factor, all on statin treatment in 2019. Among these patients, around 43.7% (17.7% female), 38.8% (16.9% female) and 26.8% (16.8% female) were over 75 years old in three cohorts: patients with ASCVD and T2DM, patients with ASCVD and without T2DM and patients with T2DM and a risk factor, respectively. The cumulative incidence function (CIF) of HF hospitalization over the FU of 12 months is about 2.9%, 1.5% and 0.56% in patients with ASCVD and T2DM, patients with ASCVD without T2DM and patients with T2DM and a risk factor, respectively (Fig. 1A). There were no differences among ASCVD patients with or without T2DM in CIF of hospitalisation for MI (1.41% and 1.16%, respectively) and stroke (1.64% and 1.27%, respectively). However, CIF of MI and stroke hospitalisation is lower in patients with T2DM and a risk factor (0.08% and 0.1%, respectively) compared to 2 other cohorts. Furthermore, CIF of PAD hospitalization is about 2.3%, 1.4% and 0.03% in patients with ASCVD and T2DM, patients with ASCVD and without T2DM and patients with T2DM and a risk factor, respectively (Fig. 1B). Conclusion: This German health insured data show that diabetes is a main driver for HF or PAD hospitalization in patients with ASCVD within 12 months. This aspect should be considered in ASCVD risk thresholds. Supported by: Amarin Corporation Disclosure: M. Verket: None. 877 External validation of SCORE2-OP for predicting 10-year CVD risk in an older population with type 2 diabetes: Edinburgh Type 2 Diabetes study Z. Huang 1 , J. Krasauskaite 1 , L. Klaric 2 , J.F. Wilson 2 , J.F. Price 1 ; 1 Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, 2 MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK. Background and aims: Cardiovascular disease (CVD) is the leading cause of death in people with type 2 diabetes, and identifying people at higher risk of CVD could facilitate early targeted intervention. Several prediction scores have been developed to stratify CVD risk, however their predictive performance in populations with diabetes was not satisfactory. Recently released by the European Society of Cardiology (ESC), SCORE2-OP is a sex-specific and geography-recalibrated algorithm for predicting 10-year CVD risk in older population including people with diabetes, but its predictive performance in external populations with diabetes is unknown. We aimed to investigate the predictive performance of SCORE2-OP in an older population with type 2 diabetes. Materials and methods: Performance of SCORE2-OP was assessed in individuals from Edinburgh Type 2 Diabetes Study which is a representative cohort of 1,066 older individuals with type 2 diabetes in Scotland (median follow-up: 10.6 years). Predictors of SCORE2-OP include age, diabetes, smoking, systolic blood pressure, total cholesterol and HDL-cholesterol and interactions between age and each non-age predictor, and scales of low-risk regions were used to recalibrate the final absolute risk. Absolute risk and linear predictors were calculated using the algorithms and scales offered by the ESC. Risk groups were classified by the recalibrated absolute risk <7.5%, 7.5 to <15% and ≥15%, and sex-specific Kaplan-Meier curves of cumulative incidence were drawn. Calibration and discrimination were evaluated for overall and newly incident CVD separately. Results: Among 1,042 available individuals (mean age: 67.9±4.2 years; male: 51.4%), 258 people developed CVD in 10 years and 110 of them were new cases. When overall incident CVD served as the outcome, the number of people in low, middle and high risk group was 22, 305 and 211 in males and 42, 242 and 220 in females. Kaplan-Meier curves (Figure 1) indicated that generally SCORE2-OP could discriminate the high CVD risk group from the middle and low risk group in males, but it had a poor discriminative performance in females. The slope of calibration was 0.90 (95% CI: 0.52, 1.28) and 0.83 (95% CI: 0.37, 1.28) and c-statistics was 0.60 (95% CI: 0.56, 0.65) and 0.61 (95% CI: 0.55, 0.66) for males and females respectively. Likewise, after prevalent CVD cases at baseline were excluded, the slope of calibration was 1.23 (95% CI: 0.64, 1.83) and 0.44 (95% CI: -0.13, 1.00) and c-statistics was 0.64 (95% CI: 0.58, 0.71) and 0.56 (95% CI: 0.49, 0.64) for males and females. Conclusion: The predictive performance of SCORE2-OP in an older population with type 2 diabetes was poor, and using this score to predict 10-year CVD risk in this population might not be appropriate. Further independent validations of SCORE2-OP in people with diabetes are warranted. Supported by: The ET2DS was funded by the MRC (UK). Z.H. was supported by a PhD studentship from the Darwin Trust Disclosure: Z. Huang: None. 878 Weight fluctuation and cardiovascular outcomes: a systematic review and meta-analysis R.J. Massey , M.K. Siddiqui, E.R. Pearson, A.Y. Dawed; Population Health & Genomics, University of Dundee, Dundee, UK. Background and aims: The association between body weight fluctuation and the risk of cardiovascular disease (CVD) has been investigated previously with controversial findings. However, there is no extensive study which systematically evaluates the current evidence. Furthermore, the impact of ethnicity and type 2 diabetes on this phenomena has not yet been investigated. Therefore, the aim of this study is to comprehensively evaluate the effect of weight fluctuation on risk of CVD (any cardiovascular (CV) event, composite CV outcome, CV death, Stroke, Myocardial Infarction) and the influence of ethnicity and type 2 diabetes status on the observed association. Materials and methods: A systematic review and meta-analysis was performed according to the meta-analyses of observational studies in epidemiology (MOOSE) guidelines. The electronic databases PubMed, Web of Science, and the Cochrane Library were searched for studies that investigated the relationship between body weight or BMI fluctuation and CV diseases using Medical Subject Headings (MeSH) terms and keywords. The relative risks (RRs) for the outcomes were collected from studies, pooled, and analysed using a random-effects model to estimate the overall relative risk. Results: Of 5645 articles screened, 23 studies with a total population of 15,382,537 fulfilled the prespecified criteria and were included. Individuals in the highest strata of body weight fluctuation were found to have significantly increased risk of any CV events (RR = 1.21; 95% Confidence Interval (CI) 1.13 - 1.28), cardiovascular death (RR = 1.24; 95% CI 1.02 - 1.46), myocardial infarction (RR = 1.14; 95% CI 1.10 - 1.18), stroke (RR = 1.21; 95% CI 1.19 - 1.24), and compound CVD outcomes (RR = 1.40; 95% CI 1.09 - 1.71). Similar RRs were observed regarding BMI fluctuation and per unit standard deviation (SD) increase in body weight fluctuation. This effect was observed regardless of ethnicity or diabetes status. Conclusion: Appropriate interventions to maintain stable weight could positively influence CVD. Future research is needed to prove a causative link between weight cycling and CVD risk. Disclosure: R.J. Massey: None.

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H. 851 Chu, L. 832 Chun, J. 828 Chung, C. 599 Chung, H. 467 Chung, S. 446 Cianfarani, S. 242 Ciappini, B. 612 Ciardullo, S. 95, 348 Ciba, I. 472 Ciborowski, M. 280 Ciccaglione, M. 330 Ciccarelli, G. 425, 456 Cichosz, S. L. 98 Ciciliot, S. 531 Cieluch, A. 820 Cieslak, J. 702 Cigler, M. 628 Cignarelli, A. 59, 500, 814 Cilla, M. 369 Cimini, F. A. 843 Cinefra, C. 39 Cinti, F. 425, 456 Cinti, S. 425 Ciregia, F. 58 Cirera, S. 772 Cirule, H. 530, 767 Citro, F. 49 Ciudin, A. 784 Claeys, M. 872 Claggett, B. 872 Clark, A. 610 Clark, L. 255 Clemente-Postigo, M. 479 Clemmensen, K. K. B. 542 Climent, E. 222 CLOuD Consortium 699 Cnop, M. 58, 69, 307, 400 Cobelli, C. 255 Cobo-Vuilleumier, N. 485 Coca, S. G. 545 Coelho, I. 492 Cogoi, B. 787 Cogswell, G. 102 Cohen, O. 667 Cohen, R. 54 Cohen Solal, M. 668 Colbert, K. 195 Colclough, K. 78 Colhoun, H. M. 67, 234, 721, 794 Collado, A. 46 Colli, M. L. 69, 206, 326 Collier, J. 257 Collino, M. 495 Collins, J. 744 Collombat, P. 331 Collotta, D. 495 Colman, P. G. 332 Colombi, C. 546 Colonna, A. 155 Colussi, G. 408 Coluzzi, S. 612 Conde, S. V. 474, 516, 624, 845 Conget, I. 220, 441 Connelly, M. A. 6 Conserva, F. 39 Consoli, A. 612 Conte, C. 369 Conway, B. R. 42 Conza, D. 815 Coppari, R. 194 Corcillo, A. 756, 809 Cordiner, R. L. M. 134 Corrado, A. 164 Corrao, G. 348 Correia, J. C. 650 Correia, M. A. 204 Correig, X. 283 CORONADO, the ABCD COVID-19 diabetes national audit and AMERICADO investigators 747 Cortazar, A. 278 Corthesy, J. 541 Cosentino, C. 108, 480 Cosentino, F. 252, 268, 276, 621 Coskun, T. 111, 462, 564, 606 Cosson, E. 335, 438, 443 Costa, A. 478 Costabile, G. 164 Costa-Silva, B. 492 Coudert, M. 644 Coulter, F. B. 175, 384 Coulthard, R. 412 Couper, J. 332 Cowan, E. 415, 457 Cowley, M. 203 Cox, D. 109 Cox, E. 171 Cózar-Castellano, I. 451 Crabtree, T. S. J. 550, 583 Craig, M. E. 236, 332 Criego, A. B. 669, 670 Crocket, H. R. 677 Croosu, S. S. 720, 736 Csanalosi, M. 165 Csatári, G. 690 Cubbon, R. M. 193 Cuenca-Ardura, M. 309 Cuenco, J. 668 Cugnata, F. 293 Cui, Q. 285 Cui, X. 558, 591 Cui, Y. 281 Cukierman-Yaffe, T. 439 Curcio, F. 408 Curovic, V. 244 Cusi, K. 565 Cypryk, K. 432 Cyranka, G. 31, 103 Czajkowski, P. 280 Dabaghie, D. 755 Dabek, J. 146 Da Costa, L. 453 Da Dalt, L. 515 Dadan, J. 513 D'Addio, F. 262, 399 Dadi, P. K. 376, 414 Dadson, P. 142 Dagnelie, P. C. 72, 121, 282, 324, 512 Dagogo-Jack, S. 252, 621 Dahl, D. 640 Dahl, M. B. 64 Dahlquist, G. 288 Dahlqvist Leinhard, O. 561 Dahlström, E. H. 38, 68 Dahmen, J.-N. 264 Dai, B. 598 Dai, X.-Q. 32 Daimon, M. 338, 870 Dajani, K. Z. 180 Dal Canto, E. 873 Dalgaard, L. T. 20, 157, 734 D'Alterio, F. 848 Daly, A. B. 50 Dam, W. A. 358 Damanti, S. 369 D'Amato, C. 725 Dambeck, U. 163 Dambrova, M. 530, 767 Damgov, I. 760 Damodharan, S. 698 Dan, Y. Y. 788 Dance, A. 294 Dance, B. 236 Daniele, G. 212 Danielsen, E. R. 185 Danielson, K. K. 180 Danne, T. 247, 635 Da Porto, A. 408 Dardano, A. 212, 249 Darwish, T. 216 da Silva, J. 21 Dat, D. Q. 672 Datta, N. 199 Dautzenberg, B. 7 Davani, A. 289 David, J.-P. 594 Davies, M. 499 Davies, M. J. 89 Davila-Batista, V. 274 Davis, E. A. 332 Davis, G. M. 100 Davis, T. M. E. 350, 354 Davis, W. A. 350, 354 Dawed, A. Y. 878 DCCT/EDIC Research Group 187 de Almeida, M. E. 80, 84 Deane, A. 685 De Angelis, R. 245 Deàs-Just, A. 122 De Backer, T. 219 De Bacquer, D. 863 de Barsy, M. 468 De Block, C. 463, 600, 614, 657 de Bock, M. I. 677 de Borst, M. H. 6, 358 De Castro Barbosa, T. 82 Defrance, M. 69 DeFronzo, R. 10 de Galan, B. E. 154, 155, 403, 632, 687 Deganutti, G. 569 de Graaff, B. 361 Dehayem, M. Y. 404 Dehghany, J. 240 Dei Cas, A. 364 de Jong, J. D. 652 de Jonge, C. 54 Dekker, L. H. 320 de Koning, E. J. P. 409 de Kruijk, R. S. 345 Dela, F. 633 Delalleau, N. 307 De la Torre, N. 278 Delbecque, L. 701 Deldicque, L. 468 Delgado, G. E. 73 Del Guerra, S. 34, 58 Delhaey, L. 157 de Ligt, M. 7, 8 Dellanno, A. 843 Della Pepa, G. 13, 164 Delles, C. 123 Dellva, M. A. 688 De Lorenzi, V. 34 De Lorenzo, R. 369 Delpero, M. 535 Del Prato, S. 16, 49, 90, 212, 557, 595, 598, 852 De Luca, C. 58 Del Veliz, S. 28 de Mello Laaksonen, V. 143 Demine, S. 326, 410 den Braver, N. R. 873 Deng, H. 572 Deng, K. 238, 372 De Nicola, L. 552 Dennis, J. M. 235, 555 Denwood, G. 371 de Oliveira, K. M. 452 de Oliveira, R. M. 204, 492 Deotti, S. 175, 384 De Pasquale, C. 872 De Pouvourville, G. 51 Derhourhi, M. 63, 70, 294 Derua, R. 405 DeSalvo, D. J. 669 Descatoire, A. 428 Deshmukh, A. S. 82, 93, 229 Deshmukh, S. 76, 404 Deshpande, S. K. 22 Desiderio, A. 269 de Souza, A. H. 392 De Souza, B. M. 400 De Spirito, M. 865 D'Esposito, V. 848 Deswysen, Y. 468 Dethlefs, M. 508 Detournay, B. 51 De Vas, M. 309 De Vincentis, A. 96 De Vito, F. 259, 496 de Vries, A. P. J. 409 de Vries, S. A. G. 469 DeVries, H. 680 DeVries, J. 57, 564, 606 de Wit-Verheggen, V. H. W. 83 Dey, S. 867 Deyneli, O. 638 Dhami, P. 177 Dharmalingam, M. 698 Dhatariya, K. 550 Dhayal, S. 416 Diane, A. 382 Dias-Pereira, P. 841 Diaz, L. 367 Díaz, M. 435 Diaz Lozano, I. 385 Dib, A. 615 Dib, S. 109 Di Bartolo, B. A. 47 Di Biasio, A. 843 di Camillo, B. 836 Dichman, M.-L. 477 Dick, J. 695, 764 Dickerson, M. T. 376 Di Dalmazi, G. 612 Didisheim, M. 267 Diedisheim, M. 101, 773 Di Giuseppe, G. 425, 456 Dimayuga, D. 643 DiMeglio, P. 342 Dimitriadis, G. 829 Dimopoulos, M. 577 Ding, Y. 715 Ding, Y. 343 Dinh, N. T. T. 361 Di pietrantonio, N. 276, 733 D'Ippolito, I. 725 Dirinck, E. 728, 729 Dirksen, C. 110, 477 Distaso, W. 230 Di Tolla, M. F. 848 Di Tomo, P. 276, 733 Dive, A. 459 Divilly, P. M. 625, 681, 683 Dixen, U. 12 Djaballah, K. 644 Dobiasova, Z. 301 Dobjanschi, C. 846 Dobrzycka, M. 513 Dobson, J. R. 376 Docherty, N. G. 203 Dole, G. 454 Dollet, L. 82, 161, 231 Dom, Z. M. 244 Domazet, S. L. 322 Dombrowski, F. 413 Domingo-Lopez, D. A. 175, 384 Dong, C. X. 180 Dong, F. 313 Dong, X. N. 198 Dong, Y. 788 Donnelly, L. 134 D'Onofrio, L. 411, 711 D'Oria, R. 500, 814 Doria, A. 244 Doronin, I. 611 dos Santos, R. S. 398 Dotta, F. 311, 327, 328 Doucette, C. 300 Doundoulakis, I. 875 Dover, A. R. 99, 627 Dover, D. A. 832 Doyle, R. P. 575 Dravecka, I. 248 Drenthen, L. C. A. 687 Drevon, C. A. 340 Drøjdahl-Ryg, N. 646 Drouin-Chartier, J.-P. 3 Droz-Perroteau, C. 664, 831 Du, Y. 111, 592 Duan, M. F. 320 Duarri, A. 126 Duarte-Araújo, M. 841 Dubois, L. J. 139 Dubois Laforgue, D. 101 Duchampt, A. 453 Duchateau, G. 454 Dudler, T. 792 Due-Christensen, M. 701 Due Thomsen, K. M. 647 Duffin, K. L. 617 Duffy, G. P. 175, 384 Dufour, S. 146 Dule, S. 843 Dullaart, R. P. F. 6, 358 Dumond, A. 145 Dumont, I. 728, 729 Duncan, I. 665 Dunn, J. 564 Dunn, T. C. 333 Dunne, J. L. 286 Dunseath, G. 699 Duque Escobar, J. 508 Dureau-Pournin, C. 664, 831 Durrer, C. 117 Dusaulcy, R. 306 Duval, M. 808 Dwivedi, O. P. 317 Dwulet, J. 375 Dybjer, E. 786 Dzhun, Y. Y. 874 Eason, R. J. 291 Eastwood, S. V. 363 Ebert, T. 15 Eckel, J. 862 Eckstein, M. L. 427, 430 Edelman, S. 635 Edelman, S. 247 Edge, M. 727 Edstorp, J. 290 Eeg-Olofsson, K. 223, 360, 701 Eelen, G. 405 Eggers, B. 818 Egidi, G. 246 Ehlers, L. H. 584 Ehrlich, A. M. 231, 232 Eickelschulte, S. 260 Eickhoff, H. 476 Eid, H. 695, 764 Eizirik, D. L. 58, 69, 206, 326, 400 Ejlalmanesh, T. 773 Ejskjaer, N. 713, 720, 736 Ekelund, J. 223 Ekinci, E. 762 Ekström, S. 462 Elders, P. J. M. 279, 345, 346, 691, 873 Elders, P. P. J. 834 Eldh, M. 385 El Eid, L. 569 El-Ejeh, F. 298 Eletto, E. 364 Elgendy, R. 304 El ghormli, L. 187 Eliasson, B. 223, 360, 847 Eliasson, J. 597, 609 Eliasson, L. 107, 237, 265, 415, 457, 507 Elingaard-Larsen, L. O. 148, 185 Elisabet, B. 157 Elissen, A. M. J. 652 Ellacott, K. L. J. 137 Elleri, D. 699 Ellero-Simatos, S. 91, 144, 774 Ellingsgaard, H. 461 Elliott, J. 550 Ellis, C. 36 Ellis, D. 328, 405 El-Masri, F. 495 Elmquist, J. 194 Eloy, R. 634 Elrakaybi, A. 44 Elsayed, A. 298 Elshorbagy, A. K. 512 Elton Sander, S. 700 Emery, C. 51 Emmens, R. W. 573 EMPEROR Trial Committees and Investigators. 560 Emral, R. 645 Emri, M. 787 ENDIA Study Group 332 Endo, Y. 40 Engberg, S. 23, 790, 796 Engström, G. 786 Engvall, J. 803 EPIC-InterAct consortium 284 Eppel, D. 275 Erazo Tapia, E. 8 Eric, Y. H. K. 788 Eriksson, I. 539 Eriksson, J. W. 26, 30, 214, 475, 514, 524 Eriksson, J. G. 129, 431 Eriksson, M. I. 124, 791 Eriksson, U. 150 Erlmann, M. 427 Erlund, I. 863 Eross, B. 337 Escolano, J.-C. 240 Escrivá, F. 422 Esguerra, J. L. S. 415, 457 Eski, S. E. 410 Esmatjes, E. 220 Espadas, I. 522 Esser, N. 390 Essers, Y. 139 Esterline, R. 7 Esteves, J. V. 270 Esteves-Monteiro, M. 841 Esze, R. 787 Eurich, D. T. 832 Eurola, S. 205 Eussen, S. J. P. 72, 121, 154, 227, 282, 324, 341, 512 Evans, D. M. 340 Evans, E. 342 Evans, M. 806 Evans, M. L. 50 Evers, I. 680 Exner, A. 330 Faber, J. 796 Fabiani, I. 249 Fabricius, T. W. 403, 632 Fabris, M. 408 Facchinetti, A. 52 Fadini, G. P. 531, 836 Færch, K. 542 Færch, L. 499 Færgeman, N. J. K. 84 Fagherazzi, G. 151, 152 Faherty, A. M. 677 Falbo, E. 369 Falcetta, P. 16, 90, 852 Falkevall, A. 150 Fall, T. 19, 183 Fan, J. 189, 737 Fan, L. 285 Fan, X. 525 Fang, D. 858 Fang, M. 181 Fanni, G. 26, 30, 524 Faraj, M. 312 Faraone, A. 212 Fardellas, A. 145 Faros, E. 444 Farreca, S. M. 624 Farrell, C. M. 135 Faurby, M. 659, 663 Fauzi, M. 60 Fayfman, M. 100 Fehértemplomi, K. 690 Feldman, E. L. 187, 710 Felix, P. 728, 729 Fels, J. J. 772 Fenger, M. 601, 602 Fermaut, M. 438 Fernandes, J. L. 845 Fernández-Bueso, M. 674 Fernández Landó, L. 558, 565, 561, 591, 598, 603 Fernández-Marcelo, T. 422 Fernández-Millán, E. 422 Fernández-Pérez, L. 435 Fernández-Real, J. 159, 522 Fernández-Valero, A. 277 Fernández-Veledo, S. 159, 283 Ferrannini, E. 464, 800, 801 Ferrannini, G. 800, 801, 863 Ferrante, M. 369 Ferraro, P. 865 Ferrat, L. 286 Ferreira, I. 492 Ferreira, S. 572 Ferreira, V. 214 Ferreira, V. 26 Ferreira-Duarte, M. 841 Ferrer, J. 266, 309 Ferreri, C. 865 Ferri, G. 34 Feuchtinger, A. 33 Fève, B. 27 Fex, M. 35, 178 Fiedorczuk, J. 280 Field, B. C. T. 583 Fignani, D. 311, 327 Figueiredo, A. 21 Figueiredo, R. E. 516 Filippatos, G. 593, 618, 620 Filippi, V. 275 Filipsson, K. 251, 730 Fillová, D. 723 Finan, D. 626, 97 FinnDiane Study Group 124, 156, 528, 768, 821 Fineman, M. 195 Finlayson, G. 542 Fiorentino, T. V. 259, 496 Fiorentino, V. 262 Fiorina, P. 262, 399 Fiory, F. 815 Firneisz, G. 295 Firnkes, R. 194 Fishman, S. 54 Fiume, M. 39 Flanagan, D. 724 Flanagan, S. E. 308 Flaquer, M. 756, 809 Flatt, P. R. 488 Flaxman, C. S. 416 Fledelius, C. 226 Fleischer, J. 707 Fleming, A. D. 721, 794 Flodström-Tullberg, M. 385 Flores, J. A. 222 Florese, P. 269 Flores-Rodriguez, N. 372 Flotynska, J. 820 Fløyel, T. 210 Foch, C. 581 Fohrer-Ting, H. 773 Fojas, E. G. 471 Fok, K. 32 Folestad, E. 150 Folgueira, C. 214 Folie, S. 576 Folli, F. 262 Folon, L. 63 Fonseca, C. 864 Fonseca, V. 593 Fonseca Martins, R. 596 Font, C. 441 Fontaine, P. 428 Fontana, M. 813 Forbes, A. 701 Forbes, S. 99, 627 Forde, R. 701 Forlenza, G. P. 669 Formichi, C. 311 Formisano, P. 848 Formoso, G. 276, 612 Forotti, G. 241 Forsblom, C. 38, 124, 156, 244, 768 Forslund, A. 472 Fortin, E. 800 Foskett, D. B. 236 Fosse-Edorh, S. 335 Fougerat, A. 91, 144, 774 Fountoulakis, N. 744, 756, 809 Fournier, P. A. 135 Fox, C. 169 Franc, S. 63, 70 Francesconi, P. 16, 852 Franci, G. 312 Franco, D. R. 557, 688 Franco, E. D. 308 Francque, S. 463 Frank, J. 495 Franks, P. W. 297, 321 Franks, R. 809 Franx, A. 680 Franzén, S. 360 Frappin, G. 597 Frayling, T. 78 Frederich, R. 252, 621 Freemantle, N. 648 French, O. 676 Frenkel, O. 45, 806 Frewen, C. M. 677 Frias, J. 588, 589, 644, 649 Frias, J. P. 567 Friberg, L. 844 Frier, B. M. 133 Friis-Hansen, L. 356 Frimodt-Møller, M. 23, 86, 87, 123 Fritsche, A. 73, 128, 433 Fritsche, L. 128, 433 Fritzen, R. 465 Froguel, P. 63, 70, 266, 294, 468, 533 Frohnert, B. I. 313 Frøkjaer, J. B. 713 Frøkjær, J. B. 720, 736, 777 Fromme, T. 143 Frontoni, S. 242, 714 Frørup, C. 210 Frydenberg, H. 54 Fryer, A. 658 Füchtenbusch, M. 615 Fuglsang-Nielsen, R. 351 Fujihara, K. 761 Fujii, R. 769 Fujimoto, H. 60 Fukui, M. 544 Fulcher, G. R. 762 Fulcher, J. M. 32 Funck, K. L. 85, 336, 807 Fung, K. 177 Fung, T. 3 Furu, K. 273 Fusco, C. 312 Gabrielsson, S. 385 Gagey, S. 808 Gaglia, J. 97, 626 Gaglio, A. 693 Gagyi, E. B. 337 Gaitan, J. 702 Gál, V. 295 Galan, V. 53 Gale, C. P. 813 Galecki, A. 244 Galgani, M. 312 Galindo, R. J. 100, 591 Gall, M.-A. 636 Gallagher, A. 550, 583 Gallen, I. W. 550, 583 Galli, A. 480 Gallone, A. 39 Galnobax Study Group 22 Galstyan, G. 644, 689 Galuška, D. 743 Gamet-Payrastre, L. 91 Gan, W. J. 372 Ganapathy, K. D. 651 Gancheva, S. 353 Gansevoort, R. T. 6, 358 Ganss, K. 314 Gantz, I. 252 Gao, L. 130 Gao, Q. 35 Gao, R. 106, 371 Gašparini, D. 527 Garai, I. 787 Garbade, S. F. 760 Garchon, H.-J. 267 Garcia, E. 6 Garcia, P. 706 García-Calzón, S. 334, 352 Garcia-Martinez, I. 485 García-Monzón, C. 202 García Moreno, R. 303 Garcia-Ocana, A. 616 García-Pérez, L.-E. 615 Gariani, K. 650 Garofalo, C. 552 Garofolo, M. 16, 90, 852 Garvey, T. W. 562, 563 Garvey, W. T. 498 Gasbjerg, L. S. 510, 556 Gaspari, S. 225 Gasperikova, D. 301 Gastaldelli, A. 253, 492, 517, 565 Gaudier, M. 634 Gaudio, C. 546 Gauthier, B. R. 485 Gautier, J.-F. 101, 267, 668 Gautier-Stein, A. 453 Gay, A. 751 Gaztambide, S. 278 Géczi, B. 690 Gedebjerg, A. 43 Gee, E. 24 Geisinger-Regeneron DiscovEHR Collaboration 78 Gemmink, A. 7, 160 Genchi, V. A. 500, 814 Geno Rasmussen, C. 313 Genovese, F. 218, 549, 709, 822 Georgitsi, M. 299 Gerbracht, C. 163, 538 Gerring, D. 407 Gerst, F. 209 Gesheva, V. S. 342 Gesmundo, I. 766 Gesualdo, L. 39 Ghatak, A. 699 Gheibi, S. 396 Gheisari, A. 240 Ghit, A. 612 Ghosh, S. 645, 759 Giacca, A. 817 Giaccari, A. 425, 456, 865 Giambalvo, M. 16, 90, 852 Gianfrancesco, S. 13 Giarratana, L. 693 Gibb, F. W. 99, 627 Gil, A. 141 Gill, J. 132 Gilleron, J. 482 Gillespie, K. M. 261 Gilly, A. 71 Gilon, P. 105, 392 Gil-Poch, E. 674 Giménez, M. 220, 441, 684 Ginovker, A. 657 Giorgino, F. 39, 59, 500, 586, 615, 638, 665, 814 Giosuè, A. 2 Girard, D. 267 Girard, M. 89 Giusti, L. 58 Gjela, M. 777 Gloerich, J. 358 Gluckman, P. D. 129, 431 GlucoMOMS Study Group 680 Gmitrov, J. 740 Gmyr, V. 307, 310 Gnessi, L. 526, 711 Gnudi, L. 744, 756, 809 Gobert, M. 459 Göbl, C. S. 275 Godang, K. 436 Gödde, S. 246 Godfrey, K. 431 Godfrey, K. M. 129 Godwin, J. 235 Godzien, J. 280 Goehringer, J. 78 Goerg, A. C. K. 52 Goergen, A. 483 Gojda, J. 370 Gokhale, K. 840 Golden, A. 78 Goldman, B. 499, 563 Goldspink, D. 460 Goletzke, J. 608 Golsäter, M. 315 Gomes, M. M. 625, 681 Gomes, P. 476 Gomes Porras, M. 303 Gomez Valderas, E. 585 Gómez Zumaquero, J. 303 Goncalves, S. B. 727 González-Casimiro, C. M. 451 González-Lleó, A. 274 Gonzalez Medina, M. 817 González-Rodríguez, Á. 202 Good, G. 157 Goossens, G. H. 139 Gopalakrishnan, C. 554 Gordin, D. 821 Görigk, S. 296, 534 Gorman, A. 24 Gorman, D. N. 588, 589 Gorriz, J. 552 Gorska, M. 280 Gorwood, J. 27 Gøtze, J. P. 12, 601 Goulis, D. G. 604 Gourdy, P. 648, 747 Gourley, A. J. 465 Goutchtat, R. 459 Govaere, O. 412 Graber, M. 576 Grace, S. L. 261 Grady, K. 692 Grajales, D. 214 Gram-Kampmann, E. M. 827 Grammatiki, M. 299 Grancini, V. 693 Grasset, E. 119 Gray, S. R. 319 Graziano, G. 612 Greco, C. 725 Green, A. 368 Green, J. B. 560, 618, 751 Greenfield, J. R. 158 Greenfield, S. M. 406 Greenwood, J. P. 813 Gregersen, R. 356 Gregersen, S. 351 Gregg, E. W. 782 Gregory, S. 653 Greig, M. 738 Greve, J.-W. 54 Grevendonk, L. 521 Grewal, K. 208 Gribble, F. M. 216, 306, 460, 466 Grieco, G. E. 311, 327 Grill, V. 55, 290 Grivell, J. 623 Groeneveld, L. 345 Groentved, A. 322 Grønlykke, L. 633 Groop, P.-H. 37, 38, 68, 124, 156, 244, 494, 528, 768, 791, 798, 812, 821, 839 Grove, E. L. 336 Gruden, G. 766 Grunberger, G. 672 Grundtvig, M. 853 Grupe, K. 509 Grzelka-Wozniak, A. 473, 820 Grzywinski, Y. 541 Gu, T. 858 Gu, W. 739 Gu, Y. J. 735, 748 Gual, P. 482 Gualdani, E. 16, 852 Guasch, L. M. 159 Guay, C. 108 Gubitosi-Klug, R. A. 187 Guccio, N. 460, 466 Guck, J. 240 Gudbjörnsdottir, S. 785, 847 Gueddouri, D. 447 Güemes Hidalgo, M. 303 Guensch, D. P. 52 Guerci, B. 51, 615 Guerina, T. 195 Guerra, B. 435 Guiard, E. 664, 831 Guillén, M. 214 Guillou, H. 91, 144, 774 Guilmeau, S. 447 Guion, M. 335 Guirguis, M. N. 53 Guiti, C. 808 Guitton, J. 211, 215 Gullaksen, S. 85, 807 Gullestad, L. 853 Gulseth, H. L. 132, 233, 340, 349 Gunaratnam, S. 710 Gundersen, T. E. 512 Gunn, T. C. 677 Gunnes, N. 233 Guo, L. 547 Guo, W. 198 Gupta, R. 256 Gupta, V. 866 Gupta, Y. 38 Gurbuz, S. 592 Gurlin, R. E. 669 Gurzov, E. A. 391 Gurzov, E. N. 410 Gustenhoff, P. 98, 642 Guttman, A. 295 Guyot, P. 645 Guzmán-Ruíz, R. 479 Gvozdeva, A. 370 Gyberg, V. 863 Gysemans, C. 328, 405, 410 Haahr, H. 639, 647 Habif, S. 673 Haboosh, S. 695 Häckl, D. 876 Hadjadj, S. 747 Haebel, P. 570 Hagan, K. 97, 626 Hagelqvist, P. G. 224, 790, 796 Hagemann, T. 321 Hagerf (Voglova), B. 243 Hägg-Holmberg, S. 68, 124, 156, 791 Hagström, E. 360 Hagström, H. 15 Haidich, A.-B. 875 Hakaste, L. 317 Hakkarainen, A. 494 Hali, M. 395 Halkjær, L. 792 Hall, G. V. 12, 601 Hallahan, N. 238, 372 Hals, I. 55 Haluzik, M. 11 Ham, W. 826 Hameed, A. 280 Hamilton, K. 701 Hamprecht, D. 570 Han, F. 41, 532 Han, K. 599, 703 Han, K.-D. 746, 780 Han, S. 501, 519 Handberg, A. 777 Hanhineva, K. 143 Hanna, F. 658 Hannen, R. 342 Hannon, T. 109 Hansen, A. B. 458 Hansen, A. L. 184 Hansen, B. 230 Hansen, C. D. 827 Hansen, C. S. 20, 86, 190, 707, 719 Hansen, C. 709 Hansen, K. 666 Hansen, M. K. 250, 553, 801 Hansen, S. 639 Hansen, T. M. 713 Hansen, T. M. 720, 736 Hansen, T. W. 87, 123, 218, 709, 752, 822 Hansen, T. 71, 148, 184, 185, 191 Hansen, T. K. 43, 642, 792 Hansen, Y. 567 Hansis-Diarte, A. 10 Hansson, O. 786 Hapca, S. M. 135 Haq, N. 423 Harada, N. 491 Harada, S. 761 Haraldsson, H. 462 Hardikar, A. A. 180 Häring, H.-U. 209 Harjutsalo, V. 68, 156, 528, 768, 791, 812 Härkönen, T. 77 Harms, P. P. 834 Harmsen, M. 271 Harris, M. 332 Harris, S. 629, 637 Harsunen, M. 77 Hart, L. M. T. 20 Hart, M. 647 Hartemann, A. 101 Hartmann, B. 110, 510, 796 Hartnell, S. 50 Hashim, D. 160 Hashimoto, Y. 544 Hásková, A. 672 Hasler, Y. 701 Hassanein, M. 279 Hatoko, T. 491 Hattersley, A. T. 78, 174, 291, 308, 404, 440, 555 Hatziaggelaki, E. 577 Hauck, S. M. 33 Haufe, S. 258 Haugaard, S. B. 356, 602 Haukka, J. K. 244 Haupt, A. 111, 564, 587, 606, 617, 640, 649 Haupt-Jørgensen, M. 210 Havekes, B. 7, 8, 115 Havelund, J. 84 Havlová, V. 655 Hayashi, Y. 491 Haycocks, S. 24 Hayek, S. 710 Haynes, A. 332 Haythorne, E. 31, 103, 393 Haywood, N. J. 193 He, H. H. 64 He, J. 605 He, L. 113, 607 He, S. 571 Heald, A. H. 24, 658, 660, 662, 692 Heckquet, S. K. 86 Hedbäck, N. 477 Hedetoft, C. 642 Heerspink, H. J. L. 45, 358, 552, 553, 617, 750, 751, 752 Heggs, L. 653 Hegyi, J. P. 337 Hegyi, P. 337 Heiland, S. 718 Heimbürger, S. M. N. 556 Heine, R. 57 Heinonen, S. 494 Heise, T. 57, 564, 606, 634 Heitmann, E. 615 Hejlesen, O. 98 Helal, R. 471 Hellberg, A. 539 Helleputte, S. 219 Heller, S. 630, 700 Helsted, M. M. 510 Heltø, A. L. K. 356 Hemi, R. 439 Henckel, M. M. 828 Hendriks, J. 728, 729 Heni, M. 73, 128, 433 Hennayake, C. K. 201 Hennige, A. 613 Henriksen, K. 574 Henriksen, P. 136 Henry, R. M. A. 121, 227, 324 Herbers, E. 494 Herbig, M. 240 Herbsthofer, L. 325 Herder, C. 192, 608 Herings, R. A. R. 834 Herings, R. M. C. 691 Herman, W. 187 Herman, Y. 196 Hermann, P. 827 Hernández, C. 122, 126, 784 Hernandez-Baraza, L. 435 Hernandez Diaz, S. 273 Hertel, J. K. 64 Hertroijs, D. F. L. 652 Herzig, D. 52 Hesse, D. 535 Hesseldal, L. 221 Hesselink, M. K. C. 7, 83, 160, 521 Hetty, S. 26, 30 Heyman, E. 428, 705 Hierons, S. J. 529 Hietala, K. 124 Hiligsmann, M. J. C. 652 Hill, A. V. 76, 169, 291, 292 Hill, J. L. E. 849 Hill, N. 138 Hill, T. G. 103, 849 Hillman, M. 173 Hiltunen, T. 37 Hindle, M. 17 Hindsø, M. 110, 477 Hirota, R. 769 Hirsch, J. 576 Hitos, A. B. 202 Hjelmesæth, J. 64 Hladikova, Z. 243, 655 Hladkou, S. 178 Hlavacek, D. 11 Hlaváček, J. 723 Hlinka, T. 497 Hmeadi, O. M. 104 Ho, F. K. 319 Hochfellner, D. A. 628, 679 Hodsdon, M. E. 596 Hodson, L. 146 Hoebers, N. 139 Hoefler, J. 613 Hoek, A. G. 873 Hoeks, J. 7, 83, 160, 521 Hoeller, V. 407 Hoesli, I. 275 Hoffmann, A. 321 Hoffmann, M. D. 263 Höfler, A. 194 Hogan, M. F. 390 Højlund, K. 80, 84, 184, 191, 322, 334, 368, 458, 777, 783, 827 Hojo, M. 682 Holfeld, J. 576 Holland, D. 658 Hollingsworth, K. G. 255 Holm, L. J. 210 Holman, R. R. 174, 255, 555 Holmberg, S. 173 Holmes-Walker, D. J. 158 Holmgaard, P. 584 Holst, J. J. 12, 110, 456, 477, 510, 542, 556, 601 Holst-Hansen, T. 498, 562 Holt, C. B. 792 Holthuis, E. I. H. 691 Holz, G. G. 575 Hong, E. 599 Hong, O.-K. 446 Hong, S. 833 Hong, S. 467 Hong, Y. 467 Honsek, C. 163 Hoog, M. M. 580 Hoogenberg, K. 750 Hopkins, D. 419, 420, 701, 744 Hopkins, M. 429 Hopkins, R. 235, 555 Horn, K. 321 Hornemann, S. 162, 538 Hornung, I. 383 Horová, E. 672 Horowitz, M. 166, 167, 168, 623, 685 Hosszufalusi, N. 337 Hou, N. 41, 532 Hövelmann, U. 639 Hovorka, R. 50, 641, 699 Howell, S. J. 407 Hribal, M. L. 259, 496 Hric, I. 493 Hsieh, M. H. C. 130 Htike, K. 788 Hu, F. B. 3 Hu, M. 266, 417 Hu, R. Y. 748 Hu, X. 257 Huang, A. 580 Huang, J. 607 Huang, M. 297 Huang, M. L. H. 758 Huang, M. 448, 776 Huang, P. 735, 748 Huang, R. 842 Huang, W. 166, 167, 168 Huang, Y. 710 Huang, Y. 645 Huang, Z. 42, 877 Hubáček, J. A. 743 Huber, J. 169 Huber, S. 722 Hubert, T. 459 Huerta, J. 122 Hug, M. J. 44 Hugger, M. B. 827 Hughes, A. D. 363 Huguet-Moreno, I. 793 Huh, R. 591 Hui, X. 29 Huillet, M. 91, 774 Huising, M. O. 36 Huisman, S. D. 409 Hull, R. L. 390 Hulman, A. 128 Humbert, A. 449 Humel, T. 723 Hummel, J. 433 Huong Nguyen, T. 538 Hur, K. 686 Hurtier, A. 702 Husain, M. 806 Husemoen, L. L. N. 636 Hussain, S. 268 Huttasch, M. 254 Hüttl, M. 497, 504 Huttl, M. 61 Huybrechts, K. F. 273 Huyett, L. M. 669 Hwang, M. 779 Hypo-RESOLVE Consortium 625, 628, 632 Ibfelt, E. H. 170 Ibrahim, H. 205 Iconomidou, V. 577 Idevall-Hagren, O. 237, 373 Idrees, T. 100 Idris, I. 583 Igaz, P. 295 Iglesias, T. 202 Ignácio-Souza, L. M. 215 Ihana-Sugiyama, N. 682 Ihara, K. 244 Iida, H. 464 Ikeguchi-Ogura, E. 491 Ikonomidis, I. 559, 810, 829 Ilonen, J. 77 Im, D. 779 Imai, S. 544 Impronta, F. 425, 456 Inagaki, N. 60, 366, 491 Inashvili, E. 127 Incedal, T. C. 373 Inglada, Y. 222 Inkeri, J. 821 Insabato, L. 848 Inzucchi, S. E. 88, 835 Ioannidis, G. 749 Irvine, K. M. 255 Isaacs, S. R. 236 Isaksen, A. A. 336, 804 Isgrò, C. 312 Ishibashi, R. 9 Isla, H. 126 Islam, T. 712 Isomaa, B. 317 Itaya-Hironaka, A. 769 Ivak, P. 11 Iwasaki, N. 302 Jacan, A. 543 Jacobson, D. A. 376, 414 Jacovetti, C. 108 Jacquemier, P. 668 Jacqueminet, S. 101 Jaffredo, M. 392 Jahn, S. L. 163 Jähnert, M. 353 Jakobsen, P. R. 221 Jalleh, R. J. 166, 685 James, G. G. 828 Jamialahmadi, O. 96 Jan, M. 228 Jang, I.-S.703 Jankipersad, I. R. 873 Jankowicz, N. 608 Jankowska, M. 830 Janku, P. 437 Janona, M. 482 Januszewski, A. S. 473, 758 Jara, M. 18 Jefferies, C. A. 677 Jelenik, T. 576 Jende, J. M. E. 717, 718 Jenkins, A. J. 473, 758 Jensen, A. K. 316 Jensen, D. M. 153, 434 Jensen, J. M. 827 Jensen, M. M. 542 Jensen, M. B. 170 Jensen, M. H. 98 Jensen, N. J. 783 Jensen, T. J. 642 Jensen, T. S. 191 Jenssen, H. 734 Jenssen, T. G. 349, 742 Jenum, A. K. 340 Jeon, J. 501, 519 Jeon, J.-H. 511 Jeong, B.-K. 860 Jeong, J. 501, 519 Jeong, J.-O. 854, 869 Jeong, K. 467 Jering, K. 872 Jesse, K. 87 Jessen, N. 184, 191 Jevon, D. 372 Jeyaparam, S. 272 Jezek, J. 407 Ji, L. 186 Ji, S. H. 748 Jiang, W. 721, 794 Jiang, Y. Q. 748 Jiao, T. 46 Jimenez Sanchez, C. 306 Jin, S.-M. 686, 780 Jin, S. 341 Jin, Y. G. 198 Jin, Z. 572 Jlali, I. 428 Jocken, J. W. E. 139 Joglekar, M. V. 180 Johansen, O. 541 Johansen, R. F. 630, 700 Johansson, K. 173 Johansson, L. 183, 462 Johansson, P. I. 790 Johnson, B. 203 Johnson, J. D. 36, 56, 257, 851 Johnson, P. 175 Johnson, P. R. V. 384 Jonas, J.-C. 392 Jonasson, L. 803 Jones, A. G. 76, 169,174, 261, 291, 292, 404, 440, 555 Jones, B. 569 Jones, J. G. 478, 517 Jones, K. L. 166, 167, 168, 623, 685 Jones, S. D. 677 Jones, T. W. 135 Jong, N. 545 Jongs, N. 250, 552, 750, 752 Jordan, J. 258 Jörgensen, J. 8 Jørgensen, M. E. 71, 542, 707 Jørgensen, N. B. 12,110, 477, 601 Jornayvaz, F. R. 650 Jørsboe, E. 71 Jose, M. D. 361 Joseph, A. 593, 620 Joshi, P. H. 112 Joshi, S. 698 Joubert, M. 664, 831 Jourdain, P. 664, 831 Jozefiak, T. 195 Juhl, C. B. 434, 642, 646 Jui, B. N. 514 Julla, J.-B. 101, 267, 668 Jung, H. 467 Júnior, M. F. 486, 487 Junza, A. 283 Juranek, J. 329 Justesen, L. 148, 185 Juuti, A. 494 Kabisch, S. 163, 165 Kacer, P. 504 Kaci, A. 71 Kaczmarek, A. 820 Kadner, A. 52 Kadolsky, U. 177 Kahkoska, A. 629 Kahl, S. 353 Kahlert, J. 584 Kahn, S. E. 390, 557, 595 Kahoul, Y. 533 Kaiser, G. 209 Kaiser, K. 296 Kajio, H. 682 Kajiyama, S. 544 Kajiyama, S. 544 Kaňková, K. 743 Kalaidzidis, I. 240, 314 Kalaidzidis, Y. 240, 314 Kalamajski, S. 297 Kaltoft, M. S. 597 Kan, C. 41, 532 Kandler, K. 498 Kang, L. 201 Kang, S. S. 763 Kang, Y. 501, 519 Kankova, K. 437 Kannambath, S. 177 Kanzaki, M. 389 Káplár, M. 787 Karagiannis, T. 147, 875 Karagiannopoulos, A. 107, 415, 457 Karaliolios, G. 299 Karalis, V. 577 Karalliedde, J. 676, 695, 744, 756, 764, 809 Karamanakos, G. 365 Karasik, A. 610 Karayiannides, S. 844 Karczewska-Kupczewska, M. 513 Kardalas, E. 749 Kariyawasam, D. 676 Karlsson, H. K. R. 455 Karlstad, Ø. 233 Karnieli, E. 196 Karpe, F. 370 Karsdal, M. A. 218, 574, 709, 822 Karstoft, K. 79, 461 Karuppan, M. 641 Kaser, S. 576 Kashima, K. 548 Kasperova, B. J. 11 Kassi, G. 577 Katayama, M. 81 Katkó, M. 690, 787 Kato, T. 491 Katogiannis, K. 559, 810, 829 Katoh, S. 745 Katte, J. C. 404 Kattner, N. 412 Katzman, P. 741 Kaul, P. 832 Kavazović, I. 527 Kazda, C. 640, 649 K Cardozo, A. 482 Kean, L. S. 379 Kearney, M. T. 193 Keller, A. C. 828 Keller, F. 549 Keller, M. 321 Kellman, P. 813 Kelly, H. 175, 384 Kelly, T. L. 255 Kemper, M. 163 Kender, Z. 716, 717, 718, 726 Kepaptsoglou, O. 444 Képes, Z. 787 Kerkar, P. 872 Kernan, W. 835 Kerr, D. 665 Kerr-Conte, J. 307, 310 Kersten, S. 7 Keshavamurthy, A. 698 Kessler, L. 824 Kesslerova, K. 243 Kettunen, J. L. T. 77 Khalid, U. 563 Khamis, A. A. 266 Khan, D. 488 Khan, I. 65 Khandpur, N. 3 Kharitonenkov, A. 198 Khattab, F. 105 Khoo, C. M. 788 Khoudigian, S. 666 Khunti, K. 18, 568, 609, 684, 747 Khuong, J. 296, 534 Kieffer, T. J. 36 Kietsiriroje, N. 17, 795 Kiflen, M. 65 Kiljanski, J. 600 Kilner, J. 38 Kilpeläinen, T. O. 182 Kim, B.-S. 780 Kim, D. H. 554 Kim, D. 757, 778, 838 Kim, D. 501, 519 Kim, D. 599 Kim, D.-C. 703 Kim, E. 599 Kim, G. 686, 780 Kim, H. 519, 599 Kim, H. 860 Kim, I. 266 Kim, J. 686 Kim, J.-H. 780 Kim, J. 826 Kim, J. 838 Kim, J. 125 Kim, J. 779 Kim, J. 344 Kim, J. 414 Kim, J. 757, 778, 838 Kim, K. W. 236 Kim, K. 125 Kim, K. 125 Kim, K.-A.746 Kim, M. 148, 185 Kim, M.-J.511 Kim, M. 833 Kim, M. 779 Kim, M. 765 Kim, N. 125 Kim, P. 860 Kim, R. 511 Kim, S. 344 Kim, S. J. 763 Kim, S. 125 Kim, S. 833 Kim, S. B. 763 Kim, T. 501, 519 Kim, Y. 778 Kim, Y. 118 Kim, Y. H. 763 Kim, Y. 779 Kimura, Y. 870 Kin, H. 501 Kindracki, Z. 568 King, G. L. 821 Kinoshita, T. 197, 590 Kirk, R. K. 772 Kirketerp-Møller, K. 23 Kirschner, P. 760 Kislev, N. 502 Kitchen, R. R. 256 Kitsos, A. 361 Kivelä, J. 5 Kiyobayashi, S. 60 Kjær, M. S. 18 Kjaergaard, A. D. 43 Kjerpeseth, L. J. 130 Kjölhede, E. 223 Klarić, I. 527 Klaric, L. 877 Klarskov, C. K. 316 Kleber, M. E. 73 Klein, C. 773 Klein, H. 570 Klein Geltink, R. I. 32 Klemp, I. 321 Kliemank, E. 120 Klingbeil, K. 754, 760 Klingenspor, M. 143 Klöppel, G. 412 Klüter, H. 271 Knaub, L. A. 828 Knebel, B. 296, 534, 862 Knight, B. A. 291 Knip, M. 77 Knoch, K.-P. 314 Knop, F. K. 224, 510, 556, 597, 790, 796 Knott, K. D. 813 Knudsen, J. S. 584 Knuppel, A. 363 Koca, Y. 805 Koch, C. 25 Kodama, S. 761 Kodani, N. 682 Koh, G. 599 Koh, G. 765 Kohl, F. 323 Köhler, S. 154 Koistinen, H. A. 199 Kojzar, H. 430, 543 Kokkinos, A. 490, 577 Kolic, J. 56 Kolisek, M. 493 Kolkailah, A. A. 252 Kolobov, T. 675 Kolodziej, A. 572 Komba, M. 32 Konecna, J. 172 Kong, A. P. 622 Kong, A. 654 König, A.-C. 33 Konrad, D. 25, 483 Konrad, N. K. 25 Kontula, K. 37 Koo, D.-J. 14 Kooi, E. 341, 512 Kooman, J. P. 324 Kooy, A. 752 Kopf, S. 120, 716, 717, 718, 726 Kopp, J. L. 851 Korakas, E. 559, 810, 829 Korantzis, A. 444 Kordi-Patime, O. 439 Korn, A. 92, 573 Korukonda Dr, K. 753 Korytko, A. 329 Korzh, S. 767 Koshino, A. 250, 553 Koshizaka, M. 9, 40 Kosinski, M. 432 Kosok, A. 314 Kossack, N. 876 Kostelli, G. 559, 810, 829 Kostenis, E. 209 Koster, A. 154, 324, 341 Köster, K. A. 508 Kostopoulos, G. 875 Kotecha, T. 813 Kothawade, Y. M. 657 Kotnik, P. 54 Kotsa, K. 299, 604 Kotseva, K. 863 Kotzaeridi, G. 275 Koudelková, K. 370 Koufakis, T. 299, 604 Kountouri, A. 559, 797, 810, 829 Kousathana, F. 829 Kovac, L. 353 Kovacs, A. 337 Kovacs, P. 321 Koves, T. R. 7, 521 Kowalska, I. 513 Kowluru, A. 395 Kraenkel, N. 165 Kraft, F. A. 823 Krag, A. 827 Kramer, G. 246 Krasauskaite, J. 42, 877 Krasowska, U. 280 Kravets, V. 375 Krawietz, P. 639 Krbcová, M. 370 Kremers, S. H. M. 346 Kremser, C. 576 Krentz, N. A. J. 36 Kretowski, A. 280 Krijnen, P. A. J. 92, 573 Krishnamoorthy, S. 694 Kristensen, C. A. 772 Kristensen, F. P. 191 Kristensen, N. R. 639 Kristensen, P. L. 316, 630, 700 Kristiansen, K. 143 Kristiansen, O. P. 602 Kristiansen, V. B. 110, 477 Kristinsson, J. A. 64 Krogh, L. S. L. 510, 556 Krohn, K. 321 Krolewski, A. 244 Kronshage, B. 634 Krook, A. 81, 82, 161, 200, 229, 231, 455, 481 Kroon, A. A. 121, 154, 227, 324 Kroonen, M. Y. A. 752 Krueger, B. 608 Krug, H. V. 871 Krus, U. 265 Kruse, M. 162 Kruse, R. 458 Kubanova, L. 493 Kuda, O. 11 Kuefner, M. 200 Kufaishi, H. 86 Kuhn, T. 296, 534 Kuja-Halkola, R. 785 Kukor, Z. 295 Kulkarni, R. N. 456 Kulkarni, S. A. 22 Kullberg, J. 183, 514 Kumar, A. 786 Kumar, L. 590 Kumar, R. 308 Kumarathurai, P. 602 Kun, A. 128 Kundu, R. 518 Kuniß, N. 246 Kunte, P. S. 180 Küppers, C. 871 Kupriyanova, Y. 254 Kurashvili, R. 127 Kurz, F. T. 717, 718 Kuss, O. 323 Kusters, T. 454 Kusters, Y. H. A. 512 Kutz, A. 554 Kuula, J. 494 Kvaskoff, M. 151, 152 Kvist, P. H. 772 Kwan, A. Y. M. 566 Kwon, H. 778 Kwon, M.-S. 703 Kwon, S. 511 Kwon, S. 686, 780 Kye, J.-W. 703 Kyriakidou, A. 604 Kyriazou, A. V. 604 Kzhyshkowska, J. 271 Laakso, M. 199 L'Abbate, F. 704 Labouèbe, G. 225, 228 Lacas-Gervais, S. 482 Lachin, J. M. 187 Lachmanová, Z. 655 Lackner, B. 407 Lacko, D. 172 la Cour Poulsen, L. 64 Laffel, L. M. 97, 669, 688 Lagathu, C. 27 Lage, A. 618, 620 Lahti, K. 317 Lai, E. C. C. 130 Lai, H. 782 Laing, I. 660 Laitinen, I. 462 Lal, M. 755 Lalama, E. 165 Lamarche, F. 619 Lambadiari, V. 559, 797, 810, 829 Lambelet, M. 593 Lambers Heerspink, H. J. 545 Lamotte, M. 666 Lampasona, V. 261 Lampousi, A.-M. 284 Landgraf, W. 645 Landin-Olsson, M. 173 Landschulz, W. 640, 649 Landstedt-Hallin, L. 844 Landstra, C. P. 409 Lang, A. 1, 370 Lang, A. 775 Lang, J. 702 Langin, D. 144 Langlois, A. 389 Lánská, V. 743 Laouali, N. 151, 152 Lapauw, B. 219 Lapière, S. 459 Lapuerta, P. 605 Lara-Moreno, C. 793 Larger, E. 101 Larsen, A. T. 574 Larsen, S. 232 Larsson, H. 785 Larsson, S. C. 183 Laschke, M. W. 263, 383 Lass, A. 144 Lassalle, R. 664, 831 Lasserre, F. 774 Lasserre, F. 91 Latorre, J. 522 Lattuada, G. 95 Latva-Rasku, A. 199 Latz, E. 165 Lau, E. S. 622, 654 Lau, J. 387 Laubner, K. 44, 54 Laugesen, E. G. 85, 807 Laurberg, T. 847 Laurent, V. 442 Lauridsen, J. T. 221 Lauritsen, J. 796 Lauro, D. 725 Laursen, D. H. 221 Laursen, J.-C. 86 Laursen, P. N. 562 Lause, P. 468 Lauwers, P. 728, 729 Laver, T. 78 Laverman, G. D. 752 Laviola, L. 59, 500, 814 Lavoie, G. 28 Law, B. 197, 590 Lawatscheck, R. 593, 618, 620 Lawrence, F. 407 Lawson, J. 610 Le, A. 65 Leal, E. C. 21, 734 Leal, L. G. 256 Leanza, G. 312 Leask, A. 776 Lebek, S. 296, 534 Lebrec, J. 615 Leclerc, J. 359 Lee, C. 599 Lee, C. 603 Lee, C. J. 586 Lee, H. 467 Lee, I.-K. 511 Lee, J. Y. 763 Lee, J. 757, 838 Lee, J. 757, 778, 838 Lee, J. 855 Lee, K.-W. 501, 519 Lee, M. 654 Lee, N. 501, 519 Lee, S. 757, 778, 838 Lee, S. 757, 778, 838 Lee, S. 746 Lee, S.-H. 855 Lee, S. 446 Lee, W. 826 Lee, Y.-B. 686, 780 Lee, Y. S. 431 Lee, Y. 129 Leech, C. A. 575 Leelarathna, L. 641 Lee-Ødegård, S. 132, 340 Leese, G. 134 Lefebvre, R. 619, 856 Legaard, G. 79 Legård, G. E. 117 Legault, L. 705 Legido-Quigley, C. 136, 148, 185, 719, 799 Lehrskov, L. L. 639 Lehrskov, L. 461 Lehtimäki, T. E. 146 Lehto, M. 528, 798, 839 Lehtonen, L. 481 Lehtonen, S. 798, 839 Lehtovirta, M. 317 Lei, T. 706 Leinhard, O. D. 112 Lekka, C. 416 Lekva, T. 436 Lemaitre, M. 131, 442 Lempesis, I. G. 139 Lendeckel, U. 413 Lenne, X. 131 Lenz, J. 430 Leo, L. 704 Leonardini, A. 814 Leone, A. 815 Leone, M. 785 Leonetti, F. 843 Leonetti, S. 241 Leoni, M. 725 Le Pelletier, L. 27 Leppänen, S. 205 Lerche, S. S. 642 le Roux, C. W. 203 Lessan, N. 471 Le Stunff, H. 211, 215 Levade, T. 774 Levelt, E. 813 Levenberg, S. 196 Lever, C. S. 677 Levi, K. 439 Levine, J. A. 585, 614 Levitt, C. H. 374 Levrat-Guillen, F. 51 Lewis, D. M. 677 Lewis, E. 872 Lewis, J. E. 216 L. Heerspink, H. 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L. 460, 466 Miehle, K. 506 Miele, C. 815, 848 Miettinen, P. J. 77 Migdal, A. L. 100 Migliaccio, T. 848 Migliozzi, L. 531 Mihaly, E. 337 Mijolović, Ž. 527 Miklankova, D. 61, 497, 504 Mikušová, V. 289 Milano, A. D. 500, 814 Milanski, M. 215 Milicevic, Z. 57, 111, 462, 564, 606 Militaru, A.-M. 846 Mill, P. 140 Miller, B. 116 Millett, C. 782 Milo, M. 612 Min, D. 732, 776 Min, K. 703 Minamizuka, T. 40 Miniewska, K. 280 Miras, A. D. 203 Mirra, P. 815, 848 Mirshahi, U. 78 Mischak, H. 123 Mithieux, G. 453, 775 Mitkin, N. 611 Miyamoto, J. E. 215 Miyawaki, T. 544 Miyazato, Y. 682 Mizokami-Stout, K. 710 Mizrak, H. I. 86, 190 Mizushiri, S. 338 Moccetti, T. 872 Modamio-Molina, J. 793 Modi, H. 36 Moen, G.-H. 340 Moffa, S. 425, 456 Moffett, R. C. 488 Moganti, K. 271 Mohammadi-Shemirani, P. 65 Mohammed, J. 698 Mohammed, M. 698 Mohammed, S. 698 Mohammedi, K. 637 Moinard, C. 619 Moissl, A. P. 73 Mokhtar, S. B. A. 121, 155 Molina-Vega, M. 277 Møller, A. L. 218, 549, 822 Møller, N. 149 Møller, P. 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M. 591, 618 Panzhinskiy, E. 36 Papanas, N. 299 Paragh, G. 787 Parascandolo, A. 848 Paray, N. B. 695, 764 Paré, F. 28 Paré, G. 65 Parente, E. B. 528, 768, 812 Park, C. 599 Park, E. 757, 778 Park, J. 686, 780 Park, J. 860 Park, S. 14 Park, S. 501, 519 Park, S. 686, 780 Park, S. 779 Parkin, C. G. 672 Parravano, M. C. 242 Parravano, M. 714 Parrillo, L. 269 Parry, S. N. 776 Partridge, K. M. 137 Parving, H.-H. 642 Parzer, V. 722 Paschou, P. 299 Paschou, S. 577 Pasquel, F. J. 100 Pasquetti, G. 307 Passarella, G. 843 Pataky, Z. 650 Patarrão, R. 253 Patel, H. 558, 568, 591 Patel, K. A. 308 Patel, K. 404, 78 Patel, K. V. 112 Patel, N. 676 Patel, Y. 230 Patera, P. I. 242 Paterson, A. D. 67 Päth, G. 44 Patócs, A. 295 Patorno, E. 273, 554 Patrakka, J. 755 Patrício, B. 517 Patted, U. R. H. 657 Patterson, A. E. 32 Patterson, D. 53 Pattou, F. 307 Pattou, F. 310, 459 Paul, R. G. 677 Pavlidis, G. 559, 810, 829 Pavo, I. 557, 595, 617 Pavshintsev, V. 611 Pawlak-Chaouch, M. 428 Payrastre, L. 144, 774 Pearson, E. R. 134, 174, 261, 555, 557, 878 Pearson, S. M. 17, 795 Pecquet, C. 101 Pedersen, H. 542 Pedersen, H. D. 772 Pedersen, J. 136 Pedersen, K. 210 Pedersen, L. 75 Pedersen, L. B. H. 646 Pedersen, M. G. B. 149 Pedersen, M. L. 71 Pedersen, S. 499 Pedersen-Bjergaard, U. 136, 224, 403, 632, 633, 642, 790, 796 Peghin, M. 408 Pekkari, O. 661 Peleshok, J. 580, 600 Pellegrini, S. 305 Peltoniemi, H. 494 Pelusi, L. 733 Peña-Montero, N. 277 Pendergrast, L. A. 82, 231, 455 Penedo, J. 465 Penesova, A. 493 Peng, L. 100 Penno, G. 16, 90, 852 Penno, M. A. S. 332 Perdomo, G. 451 Perea, V. 220, 441 Pereira, M. J. 26, 30, 214, 475, 514, 524 Pereira, S. 487 Pérez-Serna, A. 398 Perfilyev, A. 265, 352 Peršić, V. 527 Perino, A. 494 Perkins, B. A. 187 Perkovic, V. 250, 545, 553 Pernemalm, M. 385 Pernow, J. 46, 268 Perrini, S. 59, 500, 814 Perrone, G. 96 Perrot, G. 775 Persaud, S. J. 177, 419, 420, 423 Perseghin, G. 95, 348 Persson, F. 87, 89, 123, 752 Pesce, F. 39 Pesce, L. 34 Pesenti, S. 619 Peter, A. 128, 258, 433 Peters, A. 379 Peters, A. 192 Peters, H. P. F. 115 Peters, V. 754, 760 Petersen, E. 53 Petersen, J. 356, 636 Petersen, J. 195 Petersen, K. F. 146 Petersen, M. H. 80, 84 Petersen, T. G. 153 Petersson, M. 561 Petkovic, M. 734 Petrazzuolo, A. 399 Petrelli, A. 293 Petrie, M. C. 594 Pettus, J. 626 Pezzolla, A. 500 Pfeffer, T. 754, 760 Pfeifer, V. 325 Pfeiffer, A. F. H. 162, 163, 165, 538 Pferschy, P. N. 430, 543 Phielix, E. 7, 8 Phillips, L. 623 Picard, A. 225, 228 Picard, P. 247, 635 Picardi, A. 96 Picconi, F. 242, 714 Pichery, E. 331 Picón, M. J. 277 Pieber, T. R. 325, 407, 543, 647 Piemonti, L. 293, 305, 418 Pieralice, S. 312 Pierrou, S. 462 Pietiläinen, K. 494 Pietrowska, K. 280 Pietrzak, I. 830 Pigeyre, M. 65 Pignatiello, S. 848 Pillai, V. 407 Pillon, N. J. 81, 82, 161, 481 Pilmark, N. 461 Pilorget, V. 247, 635 Pina, A. 253 Ping, F. 113, 607 Pinget, M. 145, 389 Pinto, S. 48, 438, 443 Pipino, C. 733 Pires, A. S. 476 Pirinen, E. 494 Pirog, A. 702 Pirola, L. 537 Piron, A. 69, 307 Pirttiniemi, A. 798, 839 Pitha, J. 497 Pitocco, D. 704 Pitt, B. 593, 618, 620 Pivovarova-Ramich, O. 162 Plaisant, M. 331 Plein, S. 795, 813 Pletsch-Borba, L. 538 Pleyerova, I. 11 Pliouta, L. 559, 810, 829 Plummer, M. P. 685 Plum-Mörschel, L. 639 Pociot, F. 210 Pohrt, A. 538 Poignard, P. 48 Poirier, P. 359 Polizzi, A. 91, 144, 774 Pollom, R. K. 688 Pollreisz, A. 722 Polomoscanik, S. 195 Pontoglio, M. 307, 310 Pontrelli, P. 39 Poon, T. 698 Pop-Busui, R. 187, 710 Porcaro, L. 693 Portal, J.-J. 443 Porter-Gill, P. 157 Porth, A.-K. 701 Porthan, K. 146 Poschet, G. 760 Pose-Utrilla, J. 202 Post, A. 358 Postic, C. 144 Poston, L. 128 Poth, T. 760 Potier, J.-B. 145 Potier, L. 101, 267, 668 Potočková, J. 370 Pott, G. B. 828 Pottegaard, A. 579 Pottier, M. 459 Pöttler, T. 628 Poulletier de Gannes, F. 702 Poulsen, C. G. 87 Poulsen, P. L. 85, 807 Pouwer, F. 170, 625, 681, 683 Pozzilli, P. 96, 312 Prasad, R. 178 Prati, B. 364 Pratley, R. E. 252, 616, 621 Pratt, E. J. 57, 564, 587 Prázný, M. 672, 723 Preissl, H. 433 Prentza, V. 810, 829 Prevenzano, I. 815 Price, J. F. 42, 877 Price, S. K. J. 677 Prietl, B. 325 Prietro-Lloret, J. 845 PRIORITY Study Group 123 Provenzano, M. 552 Provenzano, S. 56 Prud’homme, G. 285 Prunk Drmić, A. 527 Prystupa, K. 73, 128 Psaltis, P. J. 47 Psaltopoulou, T. 577 Pucci, L. 470 Puchades, M. 552 Pueyo, I. 220 Puginier, E. 702 Pugliese, N. R. 249 Pulsford, R. M. 631 Pushkarna, D. 645 Putaala, J. 68, 124, 821 Puttanna, A. 653 Puvaneswaralingam, S. 251 Puvaralingam, S. 730 Pypec, A. 820 Qadri, S. 96 Qi, B. 771 Qi, L. 547 Qian, W.-J. 32 Qian, W. 377 Qin, M. 4 Qiu, S. 74, 343, 347 Quansah, K. 666 Quaranta, D. 704 Quast, D. R. 623 Quenon, A. 459 Quinn, L. M. 406 Quiros, C. 671 Quist, J. S. 542 Qvigstad, E. 132, 436 Rabasa-Lhoret, R. 428, 705 Rabassa, M. 441 Rabbani, N. 450, 762, 825 Rabier, T. 459 Raciti, G. A. 269 Rada, P. 202, 214 Rademaker, D. 680 Rádiková, Ž. 493 Radlinger, B. 576 Radovnická, L. 672 Radulian, G. 846 Raghavan, R. 550 Raiko, J. 143 Raja, D. 235 Rajamand Ekberg, N. 19, 539 Rajas, F. 775 Rajasingam, D. 676 Rajnai, L. 787 Rakitzi, P. 299 Rakow, A. 276 Rakza, T. 131 Raleigh, D. P. 390 Ram, Y. 333 Ramadori, G. 194 Ramalheira, T. G. 215 Rambani, V. 301 Ramos, A. 278 Ramos, H. 122, 126 Randell, T. 699 Rangert, A. 315 Ranta, K. 585 Raoux, M. 392, 702 Rapattoni, W. 551 Raposo, J. F. 253, 864 Raptis, A. 559, 810, 829 Rasheed, R. 582 Rasmussen, A. 20, 23, 734 Rasmussen, D. G. K. 218, 549, 709, 822 Rasmussen, R. W. 777 Rasmussen, S. 45, 594 Raso, E. 13 Rasouli, B. 290 Rasouli, N. 566 Rastogi, A. 22 Rathmann, W. 192, 323 Ratzer, M. 407 Ratzki-Leewing, A. 629 Raverdy, V. 459 Ravi, A. 694 Ravier, M. A. 386 Rawlinson, W. D. 236 Raya, D. 555 Raychaudhury, A. 759 Raymond, C. S. S. 788 Rayner, C. K. 166, 167, 168, 505, 623 Rea, F. 348 Rea, R. 747 Rebelos, E. 464 Refsum, H. 512 Regazzi, R. 108, 480 Regeer, H. 409 Reginato, A. 215 Régnier, M. 144 Reimann, F. 216, 306, 460, 466 Reindl, W. 570 Reinhard, A. K. 679 Reinke, J. 258 Reis, F. 476 Reis, J. 710 Reis Franco, D. 598 Rella, M. 59 Remmelzwaal, S. 339, 345, 346, 834 Ren, H. 377, 378 Renard, E. 247, 635 Renaud, S. 702 Repetto, E. 665 Reshma, A. M. 788 Resi, V. 693 Ress, C. 576 Retory, Y. 668 Reusch, J. E. 828 Rewers, M. 286, 313 Rey, E. 202 Reynolds, C. 569 Reynolds, R. 724 Rey Velasco, E. 697 Rhee, M. 855 Ribeiro, R. 253 Ribeiro, R. A. 452 Riccardi, G. 2, 164 Ricci, S. 194 Richard, V. R. 257 Richardson, S. J. 388, 416, 849 Richter, E. A. 12, 601 Rickels, M. R. 379 Ricordi, C. 379 Ridgeway, J. 653 Ridker, P. M. 553 Ried-Larsen, M. 79, 117, 461 Riegel, K. D. 172 Rieusset, J. 449, 856 Rigas, G. 498 Rilstone, S. 138 Rimm, E. B. 3 Rinaldi, E. 227 Rinnov, A. R. 562 Risi, R. 526 Rist, W. 570 Rittig, N. 149 Ritzel, R. 638, 645 Riveline, J.-P. 51, 101, 668 Rivellese, A. A. 13, 164 Rives, C. 91, 774 Rizo-Roca, D. 455 Rizzi, A. 704 Rizzo, G. E. 704 Roberto, L. 59 Roberts, F. 178 Roberts, L. D. 193 Roberts, M. A. 762 Robins, D. A. 587, 592 Robinson, A. 24 Roca, D. 441 Roca Rivada, A. 206 Rocha, M. 487 Rocher, A. 845 Rodbard, H. W. 568 Rodella, A. 531 Rodemer, C. 120 Roden, M. 192, 254, 353, 576, 862 Rodriguez, A. 222 Rodríguez, Á. 565, 561, 568, 586, 598 Rodriguez-Calvo, T. 208 Rodriguez Sanchez-Archidona, A. 225, 226 Roeikjer, J. 713 Rohatgi, A. 820 Rohbeck, E. 862 Rohm, M. 33 Røikjer, J. 720, 736 Rokamp, K. Z. 633 Roland, M.-C. P. 436 Roma, L. P. 263 Romacho, T. 862 Romeo, S. 96 Romeres, D. 255 Romero, A. 862 Rončáková, M. 289 Ronci, M. 58 Rønn, P. F. 218, 367, 822 Rønningen, T. 64 Rooney, M. 181 Rorsman, P. 106, 371 Rosager, E. V. 356 Rosati, A. 546 Rosato, A. 531 Rosenbauer, J. 323 Rosendo-Silva, D. 476 Rosengaard, L. 368 Rosenkilde, M. M. 510 Rosenstock, J. 499, 560, 563, 597, 598, 613, 638 Rosenthal, N. 801 Roshandel, D. 67 Rosicky, I. 275 Rosolova, K. 11 Rosqvist, F. 146 Ross, L. 379 Rossato, S. 3 Rossetti, R. 526 Rossi, M. C. 612 Rossi, P. 90 Rossing, P. 20, 23, 45, 86, 87, 89, 123, 190, 218, 244, 367, 593, 618, 620, 709, 719, 751, 752, 799, 822, Rossner, S. 701 Rotbain Curovic, V. 123, 752, 799 Rotem, R. 273 Rötschke, J. 665 Rottiers, P. 328 Roubik, L. 628 Roumans, K. H. M. 115 Roumeliotis, A. 299 Roussel, R. 63, 70, 101, 267 Rouw, D. B. 750 Roux, P. P. 28 Rovere-Querini, P. 369 R. Owen, K. 310 Roy, A. 236 Roze, S. 102 Rozenberg, A. 610 Ruan, Y. 747 Rubæk Danielsen, E. 148 Ruban, A. 54 Rubin, K. H. 153 Rubinat, E. 283 Rubino, D. M. 563 Rubio, J. 641 Rudenko, N. M. 874 Ruether, K. 165 Rughwani, T. 590 Ruilope, L. M. 618, 620 Ruissen, M. M. 409 Ruiter, T. 851 Ruiz, P. L. D. 233 Ruiz De Adana, M. 303 Ruiz Ruiz, J. 141 Rujan, R.-M. 569 Rungby, J. 43, 783 Russell, M. A. 388 Russo, B. 242, 714 Russo, D. 848 Russo, I. 816 Russon, C. L. 631 Rustenbeck, I. 509 Rusu, E. 846 Rutter, G. A. 266, 417 Rutter, G. 616 Rutters, F. 345, 346, 834 Ruwaard, D. 652 Ryabov, V. 271 Ryan, B. 629 Rydén, L. 800, 863 Rydén, M. 82, 455 Ryder, R. E. J. 54, 550, 583 Saari, T. 143 Saarimäki-Vire, J. 179, 205 Saarinen, T. 494 Saba, A. 800 Sabater, D. 126 Sabio, G. 202, 214 Saboo, B. 698 Sabourdy, F. 774 Sacchetta, L. 241 Sacramento, J. F. 474, 845 Sacre, J. W. 811 Sadananthan, S. A. 431 Sadananthan, S. 129 Sæderup Pedersen, H. 697 Saenko, Y. A. 874 Sagar, R. C. 17, 795 Sahebekhtiari, N. 458 Saini, V. 180 Sainsbury, C. 840 Saint-Béat, C. 453 Sainz, N. 656, 678 Saito, S. 682 Sajadieh, A. 602 Sakaki, K. 60 Sakamoto, Y. 745 Sakuramoto-Tsuchida, S. 769 Sal, M. 438, 443 Salamone, D. 164 Salas, A. 126 Saldanha, S. 820 Salem, V. 230 Salim, A. 362 Salmenkari, H. 798, 839 Salö, S. 223 Salome, T. 440 Salvatore, M. 164 Salvenmoser, W. 576 Salzmann, K. 576 Samarasinghe, S. 203 Sammut-Powell, C. 727 Sampaio-Pires, D. 474 Sanchez, G. 373 Sanchez, H. 673 Sánchez-Ceinos, J. 268, 276 Sanchez-Delgado, G. 141 Sánchez-Domínguez, R. 422 Sánchez-Roncero, A. 422 Sancho, V. 212 Sandbæk, A. 336, 804 Sandbrink, J. 31 Sander, S. E. 630 Sandforth, L. 258, 433 Sandgaard, S. 584 Sandholm, N. 37, 38, 68, 244, 821 Sánez Tähtisalo, H. 37 Sang, M. 74, 347 Sanlioglu, A. D. 380 Sanna, B. 379 Sansone, A. 865 Santander, C. G. 71 Santarpino, G. 500, 814 Santhanam, R. 570 Santhiapillai Croosu, S. 713 Santo-Domingo, J. 451 Santoro, N. 868 Santos, A. C. 864 Santos, D. 157 Santos, L. B. 503 Santos, R. M. A. 215 Sapin, H. 600 Saponaro, C. 307, 310 Saras, J. 239 Sark, D. 664, 831 Sá-Rocha, M. 486 Sarsenbayeva, A. 26, 214 Sas, T. C. J. 469 Sassi, G. 328 Satake, E. 244 Sathiaseelan, R. 116 Sattar, N. 132, 174, 555, 617 Satuli-Autere, S. 156, 791 Saudek, F. 243 Saulnier, P.-J. 747 Saunder, T. 361 Savaré, L. 348 Savelberg, H. H. C. 121, 324 Savikj, M. 229, 81 Sawadogo, K. 468 Sawatani, T. 400 Saxena, A. R. 114, 588, 589 Sayers, S. 342 Sbat, N. 824 Scalise, A. 618 Scarpa, F. 155 Schaart, G. 8, 160 Schaeffer, D. F. 851 Schalkwijk, C. G. 72, 155, 227, 282, 341, 454, 512, 573 Schaper, N. 121 Schaper, N. C. 72, 324 Scharfmann, R. 240 Schaub, C. M. 376 Schauer, M. 543 Schechter, M. 250, 553, 610 Scheijen, J. L. J. 72, 454 Schenk, E. 645 Scherneck, S. 445, 509 Schimpfle, L. 717, 718, 726 Schirò, S. 364 Schlesinger, S. 1, 370 Schlögl, H. 506 Schmid, B. 613 Schmidt, A. 668 Schmitt, B. M. 263 Schmitt, C. P. 754, 760 Schmitt, H. 44 Schneck, K. B. 596 Schneider, A. 192 Schnell, O. 863 Schoelwer, M. J. 669 Schofield, J. 641 Schoiswohl, G. 144 Scholz, M. 321 Schön, M. 254 Schönfelder, T. 876 Schoonjans, K. 494 Schoonmade, L. 345 Schöppe, T. 264 Schoug, J. 741 Schousboe, K. 646 Schouten, J. 121 Schrader, S. 352 Schram, M. 121 Schram, M. T. 154, 155, 324 Schrauwen, P. 7, 8, 115, 160, 521 Schrauwen-Hinderling, V. B. 7, 8, 83, 115, 254, 521 Schreyer, A. T. H. 256 Schröder, S. 508 Schüler, R. 162 Schulte, A. 240 Schultz, J. 413 Schulze, M. B. 323 Schuppelius, B. 162, 165 Schürmann, A. 296, 353, 534 Schütt, K. 876 Schwaeble, W. J. 792 Schwettmann, L. 192 Schwingshackl, L. 1 Schwitzgebel, V. 306 Schytz, P. A. 594 Sciuto, P. 249 Scorrano, L. 515 Scotney, P. 150 Scott, C. 620, 751 Scott, C. F. 376 Scottish Diabetes Research Network Epidemiology Group 794 Scowcroft, J. A. 53 Sebastian, M. 300 Sebastiani, G. 311, 327, 328 Šebo, V. 370 Secher, N. H. 633 Sechi, L. 408 Seda, O. 61 Sedova, L. 61 Seelam, A. 262, 399 Seely, E. W. 273 Seghieri, M. 546 Segin, V. B. 708 Segovia, J. C. 422 Seguí, N. 441 Seiça, R. 476 Seidel-Jacobs, E. 323 Seidler, Y. 701 Sejling, A.-S. 136 Sekitoleko, I. 440 Self, E. J. 308 Selig, J. I. 823, 871 Sellers, A. J. 160 Selvarajah, D. 188, 189, 737, 738 Selvin, E. 181 Semple, R. K. 140 Sen, I. 81 Sen, T. 553 Sen Gupta, P. 54, 676 Senior, P. 832 Senior, P. A. 180 Sennström, M. 276 Seo, D. 833 Seppänen, W. 146 Serantoni, C. 865 Sereno, J. 536 Serés-Noriega, T. 220 Serhiyenko, A. A. 708 Serhiyenko, L. M. 708 Serhiyenko, V. A. 708 Seroussi, C. 634 Sesti, G. 259, 496 Seufert, J. 44, 54, 551, 637 Severi, I. 425 Sevillano-Collantes, C. 793 Sevostjanovs, E. 767 Shah, H. 821 Shamanna, P. 698 Shannon, R. 157 Shapiro, A. M. J. 180 Sharabiani, M. 782 Sharifi, S. 397, 424 Sharifli, S. 549 Sharma, A. 132 Sharpe, A. 24 Sharrack, N. 813 Shaw, J. A. M. 412 Shaw, J. E. 362, 811 She, R. 136 Shelestova, E. 127 Shen, S. 186 Shen, Z. 842 Shepherd, M. 174 Sherr, J. 626 Sheth, K. N. 835 Shi, J. 41 Shi, M. 739 Shi, R. 387 Shide, K. 366 Shields, B. M. 76, 169, 174, 235, 291, 292, 404, 440, 555 Shih, A. Z. L. 401 Shillo, P. R. 738 Shim, E. 703 Shimazu-Kuwahara, S. 491 Shimizu, H. 548 Shobatake, R. 769 Shoger, E. 656, 678 Shogo, S. 229 Shoyhet, H. 196 Shukla, D. 406 Shulman, G. I. 146, 258 Shumliakivska, M. 276 Siafarikas, C. 365 Sicherre, F. 447 Siddiqui, M. K. 878 Sidi, E. A. L. 359 Siegelaar, S. 680 Sieminska, J. 280 Siena, A. 711 Silecchia, G. 843 Sills, S. M. 53 Silva, G. R. 142 Silva de Carvalho, T. 818 Silva Junior, J. A. 452 Silvano, S. 331 Silverwood, R. J. 363 Silvia, R. 671 Sim, D. 872 Simati, S. 490 Simmons, K. J. 193 Simmons, K. 313 Simó, R. 122, 126, 784 Simo' Canonge, R. 714 Simon, E. 570 Simon, L. 278 Simons, P. I. H. 72 Simó-Servat, O. 784 Simpson, A. M. 180 Simpson, V. 76 Simsek, S. 92, 573 Šín, M. 723 Singh, A. 689 Singh, H. 673 Singh, L. G. 100 Singh, S. P. 410 Singh, T. 178 Sipter, E. 337 Siqueira, B. P. 215 Sisk, R. 727 Sivappriyan, S. 583 Sjöberg, F. 462 Sjöström, D. 750 Skinner, T. C. 697 Sklavounos, I. 444 Sklenar, M. 301 Sklirou, A. 577 Skopkova, M. 301 Skovgaard, T. 772 Skovsø, S. 36, 56, 257 Skriver, M. V. 804 Skytte, M. 602 Slagmolen, L. 370 Slee, A. 551 Sletner, L. 340 Slíva, M. 723 Sloan, G. 188, 189, 737, 738 Sloop, K. 587 Slovak Monogenic Diabetes Study Group 301 Smith, A. 676 Smith, C. A. 460, 466 Smith, G. J. 332 Smith, J. A. B. 81, 161, 481 Smith, U. 269 Smyth, L. J. 38 Snaith, J. R. 158 So, W. Y. 622 Soares, A. C. F. 624 Soares, G. M. 213, 452 Sobngwi, E. 404 Sochorová, K. 655 Søholm, U. 625, 681, 683 Sokooti Oskooei, S. 358 Sola-Gazagnes, A. 101 Soldatos, G. 332 Soldovieri, L. 425, 456 Solé, T. 537 Solek, J. 830 Solheim, M. H. 71 Solimena, M. 240, 314 Solini, A. 241 Solis-Herrera, C. 10 Sollid, S. 132 Solly, E. L. 47 Solomon, E. 692 Solon, C. 213 Solon-Biet, S. M. 448 Solovyova, A. 255 Šoltýs, K. 493 Somanath, P. 197, 590 Sommer, C. 132, 340 Sommi, A. 656, 678 Somodi, S. 787 Somogyi, A. 295 Son, J. 446 Son, Y. 519 Søndergaard, E. 630, 700 Søndergaard, J. 221, 579 Sone, H. 761 Song, D. 467 Song, J. 739 Song, M. 519 Song, P.-S. 854, 869 Song, S. H. 133 Sönmez, A. 240, 314 Sordi, V. 305 Sørensen, A. E. 157, 734 Sørensen, H. T. 43, 75, 184, 584, 783 Sørensen, S. S. 85 Sørgjerd, E. P. 290 Sork, H. 385 Sørland, B. A. 719 Sørrig, R. 563 Sørum, N. M. 556 Sosenko, J. 293 Sosna, T. 243 Souhami, E. 638 Soula, O. 634 Šoupal, J. 672 Sourij, C. 430, 543 Sourij, H. 54, 427, 430, 543 Sousa, D. 486, 487 Sousa de veiga, A. 331 Southekal, S. 462 Sozio, E. 408 Spallone, V. 725 Spanakis, E. 586 Spanakis, E. K. 100 Sparacino, G. 836 Sparre-Ulrich, A. H. 510 Speer, T. 263 Speight, J. 625 Spellman, C. 676 Spigoni, V. 364 Spiliopoulou, A. 67 Spiliotis, I. 310 Spinelli, A. 312 Spinelli, R. 269 Spinhoven, M. 463 Spoltore, M. 526 Spranger, J. 163, 258, 538 Sprechert, M. 535 Sridhar, A. 488 Sridhar, V. S. 621 Srivastava, A. 806 Stabilini, A. 293 Stadlbauer, V. 543 Stæger, F. F. 71 Stahl, M. 313 Stahl, R. 78 Stamm, T. 701 Stanik, J. 301 Stankute, I. 306 Starikova, J. 420 StartRight Study Group 76, 291, 292 Starup-Linde, J. 351 Stastny, J. 504 Stathi, D. 756 Staudacher, G. 576 Stauss, T. G. 53 Steck, A. K. 313 Stedman, M. P. 24, 660, 662, 692 Steen Carlsson, K. 663 Stefana, I. M. 416 Stefanakis, K. 490 Stefanowicz, M. 513 Stehouwer, C. D. A. 72, 121, 154, 155, 227, 282, 324, 341, 454, 512 Stein, A. 862 Stelling-Férez, J. 733 Stemberkova-Hubackova, S. 11 Stene, L. C. 233 Stene, L. 287 Stenlid, R. 472 Stensen, S. 510 Stentebjerg, L. 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