Tristhiolato Pseudopeptides Bind Arsenic(III) in an AsS 3 Coordination Environment Imitating Metalloid Binding Sites in Proteins

The AsIII binding of two NTA-based tripodal pseudopeptides, possessing three cysteine (ligand L1) or D- penicillamine residues (ligand L2) as potential coordinating groups for soft semimetals or metal ions, was studied by experimental (UV, CD, NMR, and ESI-MS) and theoretical (DFT) methods. All of the experimental data, obtained with the variation of the AsIII:ligand concentration ratios or pH values in some instances, evidence the exclusive formation of species with an AsS3-type coordination mode. The UV-monitored titration of the ligands with arsenous acid at pH = 7.0 provided an absorbance data set that allowed for the determination of apparent stability constants of the forming species. The obtained stabilities (logK ' = 5.26 (AsL1) and logK ' = 3.04 (AsL2)) reflect high affinities, especially for the sterically less restricted cysteine derivative. DFT calculated structures correlate well with the spectroscopic results and, in line with the 1H NMR data, indicate a preference for the all-endo conformers resembling the AsIII environment at the semimetal binding sites in various metalloproteins

A public health threat in Hungary: obesity, 2013

Background: In Hungary, the last wide-range evaluation about nutritional status of the population was completed in 1988. Since then, only limited data were available. Our aim was to collect, analyze and present updated prevalence data. Methods. Anthropometric, educational and morbidity data of persons above 18 y were registered in all geographical regions of Hungary, at primary care encounters and within community settings. Results: Data (BMI, waist circumference, educational level) of 40,331 individuals (16,544 men, 23,787 women) were analyzed. Overall prevalence for overweight was 40.4% among men, 31.3% among women, while for obesity 32.0% and 31.5%, respectively. Abdominal obesity was 37.1% in males, 60.9% in females. Among men, the prevalence of overweight-obesity was: under 35 y = 32.5%-16.2%, between 35-60 y = 40.6%-34.7%, over 60 y = 44.3%-36.7%. Among women, in the same age categories were: 17.8%-13.8%, 29.7%-29.0%, and 36.9%-39.0%. Data were presented according to age by decades as well. The highest odds ratio of overweight (OR: 1.079; 95% CI [1.026-1.135]) was registered by middle educational level, the lowest odds ratio of obesity (OR: 0.500; 95% CI [0.463-0.539]) by the highest educational level. The highest proportion of obese people lived in villages (35.4%) and in Budapest (28.9%). Distribution of overweighed persons were: Budapest (37.1%), other cities (35.8%), villages (33.8%). Registered metabolic morbidities were strongly correlated with BMIs and both were inversely related to the level of urbanization. Over the previous decades, there has been a shift in the distribution of population toward being overweight and moreover obese, it was most prominent among males, mainly in younger generation. Conclusions: Evaluation covered 0.53% of the total population over 18 y and could be very close to the proper national representativeness. The threat of obesity and related morbidities require higher public awareness and interventions

Feel4Diabetes healthy diet score: Development and evaluation of clinical validity

Background: The aim of this paper is to present the development of the Feel4Diabetes Healthy Diet Score and to evaluate its clinical validity. Methods: Study population consisted of 3268 adults (63% women) from high diabetes risk families living in 6 European countries. Participants filled in questionnaires at baseline and after 1 year, reflecting the dietary goals of the Feel4Diabetes intervention. Based on these questions the Healthy Diet Score was constructed, consisting of the following components: breakfast, vegetables, fruit and berries, sugary drinks, whole-grain cereals, nuts and seeds, low-fat dairy products, oils and fats, red meat, sweet snacks, salty snacks, and family meals. Maximum score for each component was set based on its estimated relative importance regarding T2DM risk, higher score indicating better quality of diet. Clinical measurements included height, weight, waist circumference, heart rate, blood pressure, and fasting blood sampling, with analyses of glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol, and triglycerides. Analysis of (co) variance was used to compare the Healthy Diet Score and its components between countries and sexes using baseline data, and to test differences in clinical characteristics between score categories, adjusted for age, sex and country. Pearson''s correlations were used to study the association between changes from baseline to year 1 in the Healthy Diet Score and clinical markers. To estimate reproducibility, Pearson''s correlations were studied between baseline and 1 year score, within the control group only. Results: The mean total score was 52.8 ± 12.8 among women and 46.6 ± 12.8 among men (p < 0.001). The total score and its components differed between countries. The change in the Healthy Diet Score was significantly correlated with changes in BMI, waist circumference, and total and LDL cholesterol. The Healthy Diet Score as well as its components at baseline were significantly correlated with the values at year 1, in the control group participants. Conclusion: The Feel4Diabetes Healthy Diet Score is a reproducible method to capture the dietary information collected with the Feel4Diabetes questionnaire and measure the level of and changes in the adherence to the dietary goals of the intervention. It gives a simple parameter that associates with clinical risk factors in a meaningful manner

The effect of eating habits on cardiovascular risk factors and the assessed cardiovascular risk

Study was aimed to assess the effect of eating habits on cardiovascular risk factors and the assumed cardiovascular risk among 18–60 years old individuals in Hungary. The 1320 patients were recruited who had not been treated previously because of known cardiovascular risk factors or diseases. Taking questionnaire on eating habits, physical examination, laboratory tests (total cholesterol, LDL-, HDL-cholesterol, triglyceride, fasting blood glucose, OGTT) and cardiovascular risk assessment were carried out.Proportion of involved people who tended to follow healthy diet (determined on the basis of relevant European cardiovascular primary prevention guideline, focusing on the following parameters: total daily calorie-, fat-, cholesterol intake, fruit/vegetable- and salt consumption) was 66%. In “healthy diet” group we found more patients with normal total cholesterol, LDL-cholesterol and triglyceride, blood pressure (BP) and body mass index (BMI) levels compared to “unhealthy diet” group and this difference was significant. There was no significant difference between the quality of diet and HDL-cholesterol and glucose levels. The level of cardiovascular risk changed in line with the quality of diet significantly: among those people who tended to follow a healthy diet, the proportion of low risk individuals was higher whereas among those people who did not care the quality of food, this proportion was the opposite.Intention to follow healthy diet is an important part of cardiovascular risk mitigation policy among adult Hungarian people