Noninvasive, Blood-Based Biomarkers as Screening Tools for Hepatic Fibrosis in People With Type 2 Diabetes.

Nonalcoholic fatty liver disease (NAFLD) is dramatically increasing in parallel with the pandemic of type 2 diabetes. Here, the authors aimed to assess the performance of the most commonly used noninvasive, blood-based biomarkers for liver fibrosis (FibroTest, NAFLD fibrosis score, BARD score, and FIB-4 Index) in subjects with type 2 diabetes. Liver stiffness measurement was estimated by two-dimensional shear wave elastography. Finally, the authors assessed the diagnostic role of ActiTest and NashTest 2 in liver fibrosis in the examined population.

Arterial stiffness and microvascular disease in type 2 diabetes.

BACKGROUND: The clustering of arterial stiffness with microvascular disease (MD) and their effects on the clinical outcome of patients with type 2 diabetes (T2D) remains not fully clarified. METHODS: In a prospective study of 414 patients with T2D, we investigated the prognostic value of arterial stiffness and MD for clinical outcomes. Participants were assessed for the presence of MD (ie diabetic retinopathy, nephropathy and neuropathy) and arterial stiffness by pulse wave velocity (PWV) and followed-up for a median of 30 (range 1-60) months. The primary endpoint of the study was the composite endpoint of major adverse cardiovascular events, that is, cardiovascular and non-cardiovascular mortality and non-fatal myocardial infarction/stroke. RESULTS: A total of 146 (35.3%) patients had evidence of MD at baseline. In cox regression models, MD and PWV were independently associated with the composite clinical endpoint; for MD hazard ratio (HR), 3.24, 95%CI, 1.10-9.54, P=.032, and for PWV HR, 1.20, 95%CI, 1.06-1.36, P=.004) after adjustment for traditional risk factors, and enhanced risk discrimination and reclassification. The subgroup of patients with MD and high PWV was associated with increased incidence of the composite clinical endpoint (20.9% vs 1.8% in those with no MD & low PWV, P=.001). Importantly, absence of MD at baseline was associated with no mortality events during the follow-up period. PWV at baseline was not associated with MD progression during follow-up. CONCLUSIONS: These findings support that screening for arterial stiffness and MD in the routine clinical assessment of patients with T2D may enhance prognostication and cardiovascular risk reclassification.

Combination therapy as a potential risk factor for the development of type 2 diabetes in patients with schizophrenia: the GOMAP study.

BACKGROUND: Schizophrenia (SCZ) is associated with increased risk of type 2 diabetes (T2D). The potential diabetogenic effect of concomitant application of psychotropic treatment classes in patients with SCZ has not yet been evaluated. The overarching goal of the Genetic Overlap between Metabolic and Psychiatric disease (GOMAP) study is to assess the effect of pharmacological, anthropometric, lifestyle and clinical measurements, helping elucidate the mechanisms underlying the aetiology of T2D. METHODS: The GOMAP case-control study (Genetic Overlap between Metabolic and Psychiatric disease) includes hospitalized patients with SCZ, some of whom have T2D. We enrolled 1653 patients with SCZ; 611 with T2D and 1042 patients without T2D. This is the first study of SCZ and T2D comorbidity at this scale in the Greek population. We retrieved detailed information on first- and second-generation antipsychotics (FGA, SGA), antidepressants and mood stabilizers, applied as monotherapy, 2-drug combination, or as 3- or more drug combination. We assessed the effects of psychotropic medication, body mass index, duration of schizophrenia, number of hospitalizations and physical activity on risk of T2D. Using logistic regression, we calculated crude and adjusted odds ratios (OR) to identify associations between demographic factors and the psychiatric medications. RESULTS: Patients with SCZ on a combination of at least three different classes of psychiatric drugs had a higher risk of T2D [OR 1.81 (95% CI 1.22-2.69); p = 0.003] compared to FGA alone therapy, after adjustment for age, BMI, sex, duration of SCZ and number of hospitalizations. We did not find evidence for an association of SGA use or the combination of drugs belonging to two different classes of psychiatric medications with increased risk of T2D [1.27 (0.84-1.93), p = 0.259 and 0.98 (0.71-1.35), p = 0.885, respectively] compared to FGA use. CONCLUSIONS: We find an increased risk of T2D in patients with SCZ who take a combination of at least three different psychotropic medication classes compared to patients whose medication consists only of one or two classes of drugs.

Addition of Dulaglutide or Empagliflozin to Standard-of-Care Treatment: Effect on Liver Steatosis in Patients With Type 2 Diabetes Mellitus.

Background Patients with liver steatosis and diabetes mellitus can benefit from medications like glucagon-like peptide 1 receptor agonists or sodium-glucose co-transporter 2 inhibitors, as far as both hyperglycemia and fatty liver are concerned. Studies comparing members of both these families have not yet been published. We aimed to compare the effects of Empagliflozin and Dulaglutide, focusing primarily on liver steatosis. Methodology This prospective, observational, controlled study enrolled 78 patients from two centers in Athens, Greece. Adults with type 2 diabetes mellitus (DM2) and nonalcoholic fatty liver disease were assigned to one of three groups and received either Empagliflozin or Dulaglutide or any other medical treatment deemed appropriate by their physician. The primary endpoint was the reduction in liver fat fraction, assessed using magnetic resonance imaging-proton density fat fraction. Additionally, we evaluated the proportion of patients achieving a relative reduction above 30% of their initial liver fat concentration. Results The Empagliflozin group exhibited a reduction in liver fat fraction. Furthermore, the percentage of patients with a relative reduction of liver steatosis, >30%, was significantly larger in this group, compared to the Dulaglutide and Control groups. Significant body weight reduction was observed in all three groups, but no improvement in fibrosis assessing scores was noted. Conclusions Empagliflozin is effective in improving liver steatosis, while Dulaglutide does not exhibit a similar effect. Larger studies, comparing these or related agents, are necessary, to further assess benefits in patients with DM2 and nonalcoholic fatty liver.

Plasma Amino Acids in NAFLD Patients with Obesity Are Associated with Steatosis and Fibrosis: Results from the MAST4HEALTH Study.

Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) have been linked to changes in amino acid (AA) levels. The objective of the current study was to examine the relationship between MRI parameters that reflect inflammation and fibrosis and plasma AA concentrations in NAFLD patients. Plasma AA levels of 97 NAFLD patients from the MAST4HEALTH study were quantified with liquid chromatography. Medical, anthropometric and lifestyle characteristics were collected and biochemical parameters, as well as inflammatory and oxidative stress biomarkers, were measured. In total, subjects with a higher MRI-proton density fat fraction (MRI-PDFF) exhibited higher plasma AA levels compared to subjects with lower PDFF. The concentrations of BCAAs (p-Value: 0.03), AAAs (p-Value: 0.039), L-valine (p-Value: 0.029), L-tyrosine (p-Value: 0.039) and L-isoleucine (p-Value: 0.032) were found to be significantly higher in the higher PDFF group compared to lower group. Plasma AA levels varied according to MRI-PDFF. Significant associations were also demonstrated between AAs and MRI-PDFF and MRI-cT1, showing the potential utility of circulating AAs as diagnostic markers of NAFLD.

PNPLA3 rs 738409 and Other Nongenetic Factors Associated with Hepatic Steatosis Estimated by Magnetic Resonance Imaging Proton Density Fat Fraction in Adult Greek Subjects with Type 2 Diabetes Mellitus.

Objectives: Nonalcoholic fatty liver disease is dramatically increasing in parallel with the pandemic of type 2 diabetes mellitus. We investigated factors associated with hepatic steatosis (HS) in adult Greek individuals with established type 2 diabetes mellitus. Materials and Methods: We investigated 120 consecutive people with type 2 diabetes attending the Diabetic Outpatient Clinic at an Academic Hospital in Athens, Greece. All of them had demographic, clinical, and biochemical data recorded. HS was estimated by magnetic resonance imaging determined by proton density fat fraction software and defined as the percentage of total liver fat divided by the liver volume. HS of >5% was considered abnormal. The PNPLA3 (I148M) variant was evaluated as a genetic factor by standard molecular techniques. FibroMax™ was also calculated. Results: Of the 120 participants, median age was 61.7, 46% were females, diabetes duration was 10 years, and HbA1c (glycated hemoglobin) was 6.7%. The median value of HS was 7.8. The PNPLA3 rs738409 CC/CG/GG genotype frequencies were 54.2%, 35%, and 10.8%, respectively. In multivariate analysis, PNPLA3 rs738409 (ß = 0.425, P = 0.001), waist circumference (ß = 2.448, P = 0.001), and female sex (ß = 0.419, P = 0.002) had a direct association with HS, while duration of diabetes (ß = -0.179, P = 0.011) had an inverse association with HS. Conclusions: HS in type 2 diabetes is the sum of interplay of various factors exerting a direct or an inverse association, the most prominent among them being abdominal obesity and PNPLA3 molecular variability.

The Effects of Different Quantities and Qualities of Protein Intake in People with Diabetes Mellitus.

The recommended amount and quality of protein in diets of diabetic patients are highly controversial. In order to provide evidence-based information, the Diabetes Nutrition Study Group (DNSG) used a grading procedure used for quality of evidence and strength of recommendations (GRADE). A protein intake of 10% to 20% of energy intake (E%) or about 0.8 to 1.3 g/kg body weight in people below 65 years of age, and 15% to 20% of E% in people above 65 years of age appeared safe in weight-stable conditions. There were no intervention studies addressing metabolic effects, mortality, or cardiovascular events over prolonged periods. Body weight is closely linked to metabolic control and high protein diets are often recommended. Weight-loss diets that include 23% to 32% of E% as protein for up to one year reduced blood pressure and body weight slightly but significantly more than lower protein diets, whereas blood lipids, fasting blood glucose, and HbA1c improved similarly with higher or lower protein intakes in participants with a glomerular filtration rate (GFR) >60 mL/min/1.73 m2. Patients with a GFR <60 mL/min/1.73 m2 did not show a faster decline of GFR or kidney function with protein intakes around 0.8 g/kg body weight as compared with lower intakes, thereby arguing against a restriction. The effects of protein intake on diabetic eye or nerve disease have not been reported. There are a number of studies that have compared different types of animal proteins (milk, chicken, beef, pork, and fish) or compared animal with plant protein in diabetic patients and have reported a greater reduction of serum cholesterol with plant protein. In summary, the suggested range of protein intake appears to be safe and can be adapted according to personal dietary preferences.

Eligibility and Awareness Regarding Metabolic Surgery in Patients With Type 2 Diabetes Mellitus in the Real-World Clinical Setting; Estimate of Possible Diabetes Remission.

Despite high-quality evidence highlighting metabolic surgery as an effective treatment option for type 2 diabetes mellitus (T2DM), the number of patients receiving bariatric surgery (BS) remains low. Since the introduction of the Diabetes Surgery Summit II (DSS-II) eligibility criteria, data on eligibility rates for BS in T2DM cohorts remain scarce. The aims of the present study were to examine in a real-world clinical setting: (i) what is the percentage of T2DM patients visiting diabetes outpatient clinics who meet the DSS-II eligibility criteria, (ii) how many of these have been informed about the option of BS, and (iii) what are the characteristics associated with eligibility and awareness of BS. Demographic, anthropometric, clinical and socioeconomic data were obtained for all patients with T2DM who were consecutively examined in the outpatient clinics of three large-volume university hospitals (n = 1167). A medical registry form was completed to screen for BS eligibility. Patients were considered eligible if the recommendation by DSS-II criteria was either to "consider" or "recommend" BS. Eligible patients were further inquired whether they had ever been informed about the option of BS by their physicians. The advanced DiaRem score (ADRS) was applied to eligible patients to assess their probability of achieving postoperative T2DM remission. A significant percentage of T2DM patients who are routinely assessed in outpatient clinics meet the DSS-II eligibility criteria (15.3%). Eligible patients are younger and more obese, have a shorter T2DM duration, worse glycaemic control and better renal function, compared to non-eligible ones. Among eligible patients, only 39.3% have been medically informed about the option of BS. Informed patients are younger and more severely obese than non-informed ones. A significant percentage of non-informed patients (35%) have an ADRS ≤10, indicating a considerable probability for T2DM remission after BS, and are thus deprived of this opportunity due to lack of appropriate medical counseling. Screening and awareness of BS remain an unmet need in current T2DM management. Future research should focus on intensifying screening for BS eligibility at every medical visit and promoting evidence-based clinical recommendations for patients expected to benefit the most.

Prevention of Type 2 Diabetes by Lifestyle Changes: A Systematic Review and Meta-Analysis.

Prevention of type 2 diabetes (T2D) is a great challenge worldwide. The aim of this evidence synthesis was to summarize the available evidence in order to update the European Association for the Study of Diabetes (EASD) clinical practice guidelines for nutrition therapy. We conducted a systematic review and, where appropriate, meta-analyses of randomized controlled trials (RCTs) carried out in people with impaired glucose tolerance (IGT) (six studies) or dysmetabolism (one study) to answer the following questions: What is the evidence that T2D is preventable by lifestyle changes? What is the optimal diet (with a particular focus on diet quality) for prevention, and does the prevention of T2D result in a lower risk of late complications of T2D? The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach was applied to assess the certainty of the trial evidence. Altogether seven RCTs (N = 4090) fulfilled the eligibility criteria and were included in the meta-analysis. The diagnosis of incident diabetes was based on an oral glucose tolerance test (OGTT). The overall risk reduction of T2D by the lifestyle interventions was 0.53 (95% CI 0.41; 0.67). Most of the trials aimed to reduce weight, increase physical activity, and apply a diet relatively low in saturated fat and high in fiber. The PREDIMED trial that did not meet eligibility criteria for inclusion in the meta-analysis was used in the final assessment of diet quality. We conclude that T2D is preventable by changing lifestyle and the risk reduction is sustained for many years after the active intervention (high certainty of evidence). Healthy dietary changes based on the current recommendations and the Mediterranean dietary pattern can be recommended for the long-term prevention of diabetes. There is limited or insufficient data to show that prevention of T2D by lifestyle changes results in a lower risk of cardiovascular and microvascular complications.

Influence of Supervised Disease Understanding and Diabetes Self-Management on Adherence to Oral Glucose-Lowering Treatment in Patients with Type 2 Diabetes.

INTRODUCTION: Systematic patient education has been reported to improve adherence to treatment, leading to better clinical outcomes. This cluster randomized real-world study investigated the effect of a systematic education program and telephone support on self-reported adherence to oral glucose-lowering treatment in patients with type 2 diabetes mellitus (T2DM). METHODS: Centers were randomized (1:1) to provide either standard-of-care (control group) or standard-of-care along with the education program and telephone support (empowerment group). Adherence to treatment and satisfaction with treatment were assessed using the four-item Morisky Medication Adherence Scale (MMAS-4) and the Diabetes Treatment Satisfaction Questionnaire (DTSQ). The study population included 457 patients (258/199 male/female) with T2DM and non-optimal glycemic control, on oral antidiabetic treatment (age 62.7 [11.4]; disease duration 8.5 [6.5] years). RESULTS: MMAS-4 high adherence rates for the control and empowerment groups were increased by 3.8% and 16.8% at 4 months (Breslow-Day test p = 0.04) and by 8.5% and 18.8% at 8 months of follow-up, respectively (Breslow-Day test p = 0.09), compared to baseline. Intense physical activity was increased in both control and empowerment groups by 2.3% and 13.9% at 4 months (Breslow-Day test p = 0.082) and by 4.0% and 22.5% at 8 months of follow-up (Breslow-Day test p < 0.001). Baseline mean (SD) HbA1c was significantly lower in the control group compared with the empowerment group [7.7% versus 8.0%, p = 0.001] and decreased in both groups at 4 months by 0.7% and 0.9%, respectively. The change from baseline in the mean DTSQ status score at 4 months was greater in the empowerment group, and the effect was sustained at 8 months (control group: 29.1, 30.5, and 30.9; empowerment group: 25.0, 28.7, and 29.4 at baseline, 4 and 8 months, respectively, p < 0.001). CONCLUSION: Systematic education combined with telephone support delivered by physicians might be associated with improvement in treatment adherence and treatment satisfaction in patients with T2DM. FUNDING: MSD, Greece.

Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication.

The estimation of long-term diabetes complications risk is essential in the process of medical decision making. Guidelines for the management of Type 2 Diabetes Mellitus (T2DM) advocate calculating the Cardiovascular Disease (CVD) risk to initiate appropriate treatment. The objective of this study is to investigate the use of sophisticated machine learning techniques toward the development of personalized models able to predict the risk of fatal or nonfatal CVD incidence in T2DM patients. The important challenge of handling the unbalanced nature of the available dataset is addressed by applying novel ensemble strategies. Hybrid Wavelet Neural Networks (HWNNs) and Self-Organizing Maps (SOMs) constitute the primary models for building ensembles following a subsampling approach. Different methods for combining the decisions of the primary models are applied and comparatively assessed. Data from the 5-year follow up of 560 patients with T2DM are used for development and evaluation purposes. The highest discrimination performance (Area Under the Curve (AUC): 71.48%) is achieved by taking into account both the HWNN- and SOM- based primary models' outputs. The proposed method is superior to the Binomial Linear Regression (BLR) model justifying the need to apply more sophisticated techniques in order to produce reliable CVD risk scores.

Low prevalence of rheumatoid arthritis among patients with pre-existing type 2 diabetes mellitus.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a non-autoimmune disease characterized by chronic hyperglycemia and increased non-enzymatic glycation of amino groups. Glycation occurs through a series of events eventually leading to the formation of irreversible "advanced glycation end-products" (AGEs). AGEs may affect the function of long-lived proteins, including cytokines, immunoglobulins and their receptors, resulting in a "less active" immune system. We aimed to test the hypothesis that a common inflammatory chronic disease, such as rheumatoid arthritis (RA), in which the earliest event is an inflammatory response to unknown stimulus, has a lower prevalence in these patients than in normoglycemic, non-diabetic subjects. METHODS: In this study, we compared the prevalence of RA in a prospectively followed outpatient cohort of patients with T2DM patients (n=1,630) with a control, matched, non-diabetic population (n=1,630). RESULTS: Among non-diabetic controls, 13 patients (prevalence 0.80%) with RA were identified. An almost 3-fold lower prevalence of RA (0.25%) was found in consecutive patients with T2DM (P=0.029). Most of the RA cases among participants with T2DM were diagnosed early after diabetes onset. The onset of RA in patients with T2DM occurred at significantly older age (64±15 years) as compared to the non-diabetes group (48±18 years; P=0.004). CONCLUSIONS: The prevalence of RA is lower and occurs in an older age in patients with pre-existing T2DM in comparison with people without T2DM.

Evidence for genetic contribution to the increased risk of type 2 diabetes in schizophrenia.

The epidemiologic link between schizophrenia (SCZ) and type 2 diabetes (T2D) remains poorly understood. Here, we investigate the presence and extent of a shared genetic background between SCZ and T2D using genome-wide approaches. We performed a genome-wide association study (GWAS) and polygenic risk score analysis in a Greek sample collection (GOMAP) comprising three patient groups: SCZ only (n = 924), T2D only (n = 822), comorbid SCZ and T2D (n = 505); samples from two separate Greek cohorts were used as population-based controls (n = 1,125). We used genome-wide summary statistics from two large-scale GWAS of SCZ and T2D from the PGC and DIAGRAM consortia, respectively, to perform genetic overlap analyses, including a regional colocalisation test. We show for the first time that patients with comorbid SCZ and T2D have a higher genetic predisposition to both disorders compared to controls. We identify five genomic regions with evidence of colocalising SCZ and T2D signals, three of which contain known loci for both diseases. We also observe a significant excess of shared association signals between SCZ and T2D at nine out of ten investigated p value thresholds. Finally, we identify 29 genes associated with both T2D and SCZ, several of which have been implicated in biological processes relevant to these disorders. Together our results demonstrate that the observed comorbidity between SCZ and T2D is at least in part due to shared genetic mechanisms.

The Real-Life Effectiveness and Care Patterns of Type 2 Diabetes Management in Greece.

AIM: To investigate the prevalence of hypoglycaemia during sulfonylurea (SU) treatment of type 2 diabetes mellitus (T2DM) in Greece and its influence on glycaemic control, treatment adherence and quality of life (QoL). PATIENTS AND METHODS: This was a retrospective cross-sectional study. We included 383 T2DM patients ≥30 years old on treatment with SU in monotherapy or in combination with metformin for at least 6 months. Patients were requested to fill in retrospective questionnaires on hypoglycaemia experience, adherence, weight gain and lifestyle/behavioural factors along with QoL (EQ-5D-3L), treatment satisfaction (TSQM), and fear of hypoglycaemia (HFS-II Worry scale). RESULTS: HbA1c<7% was found in 161 (42.0%) patients. In total, 165 (43.1%) patients reported hypoglycaemic symptoms during the previous 6 months: 41.6% (67/161) of those with HbA1c <7% and 44.1% (98/222) of those with HbA1c ≥7%. Glycaemic control was achieved by 43.1% (94/218) of patients without hypoglycaemia and 50.0% (41/82), 36.8% (25/68) and 6.7% (1/15) of patients with mild, moderate or severe hypoglycaemia, respectively (p=0.013). In multivariate analysis, both occurrence (none vs. mild/moderate/severe) and severity (none vs. mild vs. moderate vs. severe) of hypoglycaemia were significantly associated with impaired global treatment satisfaction (p=0.002 and p<0.0001 respectively) and HFS-II Worry scale scores (both p<0.0001), while lower QoL (EQ-5D (UK) Index) was related to hypoglycaemia severity (p=0.024) only. Finally, treatment adherence was associated with increased (none/mild vs. moderate/severe) hypoglycaemia severity in univariate analysis (p=0.019). CONCLUSION: A high prevalence of patient treated with SU reported hypoglycaemia in Greek healthcare settings with negative effects on treatment satisfaction, patient worry and adherence. Severity of hypoglycaemic symptoms was associated with reduced glycaemic control.

Effects of Newer Antidiabetic Drugs on Endothelial Function and Arterial Stiffness: A Systematic Review and Meta-Analysis.

BACKGROUND: Newer antidiabetic drugs, i.e., dipeptidyl peptidase-4 (DPP-4) inhibitors, sodium-glucose cotransporter-2 (SGLT-2) inhibitors, and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) may exert distinct cardiovascular effects. We sought to explore their impact on vascular function. METHODS: Published literature was systematically searched up to January 2018 for clinical studies assessing the effects of DPP-4 inhibitors, GLP-1 RAs, and SGLT-2 inhibitors on endothelial function and arterial stiffness, assessed by flow-mediated dilation (FMD) of the brachial artery and pulse wave velocity (PWV), respectively. For each eligible study, we used the mean difference (MD) with 95% confidence intervals (CIs) for FMD and PWV. The pooled MD for FMD and PWV were calculated by using a random-effect model. The presence of heterogeneity among studies was evaluated by the I 2 statistic. RESULTS: A total of 26 eligible studies (n = 668 patients) were included in the present meta-analysis. Among newer antidiabetic drugs, only SGLT-2 inhibitors significantly improved FMD (pooled MD 1.14%, 95% CI: 0.18 to 1.73, p = 0.016), but not DPP-4 inhibitors (pooled MD = 0.86%, 95% CI: -0.15 to 1.86, p = 0.095) or GLP-1 RA (pooled MD = 2.37%, 95% CI: -0.51 to 5.25, p = 0.107). Both GLP-1 RA (pooled MD = -1.97, 95% CI: -2.65 to -1.30, p < 0.001) and, to a lesser extent, DPP-4 inhibitors (pooled MD = -0.18, 95% CI: -0.30 to -0.07, p = 0.002) significantly decreased PWV. CONCLUSIONS: Newer antidiabetic drugs differentially affect endothelial function and arterial stiffness, as assessed by FMD and PWV, respectively. These findings could explain the distinct effects of these drugs on cardiovascular risk of patients with type 2 diabetes.

Thyroid Dysfunction among Greek Patients with Type 1 and Type 2 Diabetes Mellitus as a Disregarded Comorbidity.

INTRODUCTION: The aim of this study was to determine the prevalence of thyroid dysfunction in Greek patients with type 1 (T1DM) and type 2 (T2DM) diabetes mellitus as well as its possible relations to glycaemic control and to diabetic complications. METHODS: A total of 1015 patients, consecutively followed in the Outpatient Diabetes Center, were studied. Anthropometric and biochemical measurements, occurrence of diabetes complications, and classical comorbidities were assessed. Average HbA1c of the previous year was calculated. Wellbeing was determined, using a 10-point optimal scale. All the above parameters were compared between subjects with or without thyroid disease. RESULTS: All patients were euthyroid at the time of the study, either on thyroid medications or not. Hypothyroidism occurrence did not differ between T2DM and T1DM patients (37.1% versus 43.5%, p > 0.05). Nodular goiter was observed more frequently in T2DM patients (34.1% versus 18.8%, p < 0.05). T2DM patients with hypothyroidism compared to those without hypothyroidism had higher HbA1c (7.27% versus 6.98%, p < 0.01), TChol (184.97 mg/dl versus 168.17 mg/dl, p < 0.001), and higher HDL-Chol (51.28 mg/dl versus 46.77 mg/dl, p < 0.01). T2DM patients without hypothyroidism had a better wellness feeling (7.5 versus 5.3 points, p < 0.01). CONCLUSIONS: Screening for thyroid disease among T2DM patients should be routinely considered, as it is found to be an additional commorbidity. If it remains undiagnosed, it could aggravate the clinical course of the disease.

Evaluating the glucose raising effect of established loci via a genetic risk score.

Recent genome-wide association studies have identified several single nucleotide polymorphisms (SNPs) associated with glucose levels. We tested the hypothesis here whether the cumulative effect of glucose raising SNPs, assessed via a score, is associated with glucose levels. A total of 1,434 participants of Greek descent from the THISEAS study and 1,160 participants form the GOMAP study were included in this analysis. We developed a genetic risk score (GRS), based on the known glucose-raising loci, in order to investigate the cumulative effect of known glucose loci on glucose levels. In the THISEAS study, the GRS score was significantly associated with increased glucose levels (mmol/L) (ß ± SE: 0.024 ± 0.004, P = 8.27e-07). The effect of the genetic risk score was also significant in the GOMAP study (ß ± SE: 0.011 ± 0.005, P = 0.031). In the meta-analysis of the two studies both scores were significantly associated with higher glucose levels GRS: ß ± SE: 0.019 ± 0.003, P = 1.41e-09. Also, variants at the SLC30A8, PROX1, MTNR1B, ADRA2A, G6PC2, LPIN3 loci indicated nominal evidence for association with glucose levels (p < 0.05). We replicate associations of the established glucose raising variants in the Greek population and confirm directional consistency of effects (binomial sign test p = 6.96e-05). We also demonstrate that the cumulative effect of the established glucose loci yielded a significant association with increasing glucose levels.

Dietary fat intake as risk factor for the development of diabetes: multinational, multicenter study of the Mediterranean Group for the Study of Diabetes (MGSD).

OBJECTIVE: To investigate the role of dietary factors in the development of type 2 diabetes. RESEARCH DESIGN AND METHODS: In the context of the Multinational MGSD Nutrition Study, three groups of subjects were studied: 204 subjects with recently diagnosed diabetes (RDM), 42 subjects with undiagnosed diabetes (UDM) (American Diabetes Association criteria-fasting plasma glucose [FPG] > or =126 mg/dl), and 55 subjects with impaired fasting glucose (IFG) (FPG > or =110 and <126 mg/dl). Each group was compared with a control group of nondiabetic subjects, matched one by one for center, sex, age, and BMI. Nutritional habits were evaluated by a dietary history method, validated against the 3-day diet diary. In RDM, the questionnaire referred to the nutritional habits before the diagnosis of diabetes. Demographic data were collected, and anthropometrical and biochemical measurements were taken. RESULTS: Compared with control subjects, RDM more frequently had a family history of diabetes (49.0 vs. 14.2%; P < 0.001), exercised less (exercise index 53.5 vs. 64.4; P < 0.01), and more frequently had sedentary professions (47.5 vs. 27.4%; P < 0.001). Carbohydrates contributed less to their energy intake (53.5 vs. 55.1%; P < 0.05), whereas total fat (30.2 +/- 0.5 vs. 27.8 +/- 0.5%; P < 0.001) and animal fat (12.2 +/- 0.3 vs. 10.8 +/- 0.3%; P < 0.01) contributed more and the plant-to-animal fat ratio was lower (1.5 +/- 0.1 vs. 1.8 +/- 0.1; P < 0.01). UDM more frequently had a family history of diabetes (38.1 vs. 19.0%; P < 0.05) and sedentary professions (58.5 vs. 34.1%; P < 0.05), carbohydrates contributed less to their energy intake (47.6 +/- 1.7 vs. 52.8 +/- 1.4%; P < 0.05), total fat (34.7 +/- 1.5 vs. 30.4 +/- 1.2%; P < 0.05) and animal fat (14.2 +/- 0.9 vs. 10.6 +/- 0.7%; P < 0.05) contributed more, and the plant-to-animal fat ratio was lower (1.6 +/- 0.2 vs. 2.3 +/- 0.4; P < 0.05). IFG differed only in the prevalence of family history of diabetes (32.7 vs. 16.4%; P < 0.05). CONCLUSIONS: Our data support the view that increased animal fat intake is associated with the presence of diabetes.

Real life cancer comorbidity in Greek patients with diabetes mellitus followed up at a single diabetes center: an unappreciated new diabetes complication.

We determined cancer comorbidity in patients with diabetes followed up at a single Greek academic clinic and investigated the potential related factors. Cancer comorbidity was prospectively recorded for all patients with type 2 (T2DM, n = 759) or type 1 (T1DM, n = 134) diabetes of at least 10-year duration examined during one year. Patient characteristics, diabetes age of onset, duration, treatment, control, and complication rates were compared between subjects with and without cancer. Moreover, a retrospective collection of data from similar patients examined for the first time during the last 25 years, but lost to follow-up, after at least one-year's regular visits, was performed. In regularly followed-up T2DM patients cancer comorbidity was 12.6%. Patients with cancer were older and more frequently smokers. Prostate cancer was the most frequent (24.0%) type. In T1DM cancer comorbidity was 3.0%. Similar rates of comorbidity and types of cancer were observed in lost to follow-up patients. In conclusion, our patients with T2DM of at least 10-year' duration show high cancer comorbidity. No specific characteristics discriminate patients with cancer. Therefore presymptomatic cancer detection and prevention strategies may have to be incorporated into the annual systematic evaluation of our patients.