Background:Prevalence of Type 2 diabetes is increasing rapidly worldwide. Recent data is reprehensive of increasing diabetes prevalence from 285 millions in 2010 (6.4%) to 439 millions in 2030 in adults aged 20 to 79 in different countries. Lifestyle and particularly dietary habits play an important role in the development of diabetes. Additionally, specific individual food groups and diet components such as monounsaturated fatty acids, fruits, vegetables, whole grain cereals, dietary fiber, fish, magnesium and nuts may protect against the development of diabetes, possibly through the amelioration of insulin sensitivity and its anti-inflammatory actions, while consumption of red and processed meats and saturated fat may increase the risk of type 2 diabetes.Objectives:In this section, we studied dietary and other factors related to the effect of lifestyle in type 2 diabetes. These factors may affect the incidence of type 2 diabetes which could be corrected by lifestyle modifications.Results:Unfortunately, dietary habits in the developed and developing countries are changing towards an unhealthier direction. Consequently, emphasis should be given on encouraging at population and individual levels for adopting a healthier lifestyle, including dietary habits, to prevent the development of type 2 diabetes. Here we reviewed epidemiologic and clinical trial evidence regarding nutrients, foods and dietary patterns to diabetes risk and involved possible mechanisms.Conclusions:Type 2 diabetes is increasingly growing in young population of developing countries, which causes a large burden on individuals and the society.

The Spinacia oleracea aqueous extract can be effective in regenerating diabetic ulcers. It affects the speed and structure of the ulcer. © 2015 Society of Chemical Industry.

Background Circadian Locomotor Output Cycles Kaput (CLOCK), an essential element of the positive regulatory arm in the human biological clock, is involved in metabolic regulation. The aim was to investigate the behavioral (sleep duration, food timing, dietary intake, appetite and chronobiologic characteristics) and hormonal (plasma ghrelin and Glucagon-like peptide-1 concentrations) factors that could explain the previously reported association between the CLOCK 3111 T/C SNP and obesity. Methods This cross-sectional study included 403 subjects, overweight and/or obesity, aged 20- 50 years from Iran. The CLOCK rs1801260 data were measured by the PCR–RFLP method. Dietary intake, food timing, sleep duration, appetite and Chrono-type were assessed using validated questionnaires. Ghrelin and GLP-1 were measured by ELIZA in plasma samples. Participants were also divided into three groups based on BMI. Logistic regression models and general linear regression models were used to assess the association between CLOCK genotype and study parameters. Univariate linear regression models were used to assess the interaction between CLOCK and VAS, Food timing, chronotype and sleep on food intakes. Results After controlling for confounding factors, there was a significant difference between genotypes for physical activity (P = 0.001), waist circumference (P˂0.05), BMI (˂0.01), weight (P = 0.001), GLP-1 (P = 0.02), ghrelin (P = 0.04), appetite (P˂0.001), chronotype (P˂0.001), sleep (P˂0.001), food timing (P˂0.001), energy (P˂0.05), carbohydrate (P˂0.05) and fat intake (P˂0.001). Our findings also show that people with the minor allele C who ate lunch after 3 PM and breakfast after 9 AM are more prone to obesity (P˂0.05). furthermore, there was significant interactions between C allele carrier group and high appetite on fat intake (Pinteraction = 0.041), eat lunch after 3 PM on energy intake (Pinteraction = 0.039) and morning type on fat intake (Pinteraction = 0.021). Conclusion Sleep reduction, changes in ghrelin and GLP-1 levels, changes in eating behaviors and evening preference that characterized CLOCK 3111C can all contribute to obesity. Furthermore, the data demonstrate a clear relationship between the timing of food intake and obesity. Our results support the hypothesis that the influence of the CLOCK gene may extend to a wide range of variables related to human behaviors.

Background Recent studies have shown that obesity is largely influenced by heredity and created by the interactions between several genes and environmental and behavioral factors. This study aimed to examine association between variant rs17782313 near melanocortin-4 receptor (MC4R) gene and behavioral and hormonal factors then evaluated interactions between variant MC4R rs17782313 with behavioral and hormonal factors on obesity. Methods This cross-sectional study included 403 subjects, overweight and/or obesity, aged 20–50 years from Iran. The MC4R rs17782313 data were measured by the PCR–RFLP method. Dietary intake, physical activity, stress, anxiety, depression, appetite and emotional eating were assessed by using validated questionnaires. Ghrelin, glucagon-like peptide-1 and cortisol were measured by radioimmunoassay in plasma samples. Participants were also divided into three groups based on rs17782313 genotype and BMI. Results After adjustment for age, gender, energy intake and PA, significant associations were observed between food intake, appetite, emotional eating, stress and physical activity with MC4R rs17782313 (p ˂0.05). Also, significant interactions were observed between fat intake (p-interaction = 0.002), protein intake (p-interaction = 0.01), energy intake (p-interaction = 0.01), emotional eating (p-interaction = 0.02), appetite (p-interaction = 0.04), stress (p-interaction = 0.04), ghrelin (p-interaction = 0.03), cortisol (p-interaction = 0.04) and physical activity (p-interaction = 0.04) and MC4R rs17782313 in terms of BMI. Conclusion Interactions between the CC genotype and high intakes of fat and energy, emotional eating, high appetite, and too much stress with high levels of cortisol and ghrelin probably can have an effect on BMI in overweight/obese subjects.

High blood pressure (BP) is considered as a strong predisposing factor for cardiovascular diseases (CVD) Environmental and genetic factors may have a role in high blood pressures. Nutrition has a potential role in the prevention of hypertension and its sequelae. Effect of lowering blood pressure by modification of complex dietary patterns may be the result of synergism between the various components of certain foods or food combinations rather than of the specific effect of a particular nutrient. Vegetarian Diet, Mediterranean Diet, and Dash Diet are three food patterns which have been associated with lowering BP. Vegetarian Diet are characterized by high intake of legumes, nuts, vegetables, and fruits. A relatively high polyunsaturated to saturated fat ratio will make by this kind of diet. Low fat content and high potassium, magnesium, and fiber content of this diet, all factors possibly cooperating to the reduction of blood pressure. Mediterranean Diet has low animal and dairy products as well as saturated fatty acids and cholesterol; it is rich in plant food, legumes, fiber, and antioxidant vitamins with olive oil as the main source of fat. The dietary approaches to stop hypertension (DASH) is a success process in control of hypertension, which emphasizes vegetables and fruits and dairy foods with low-fat, it also includes more nuts, poultry, fish, and, whole grains and lower amounts of red meat, fats, sweets, and sugar-containing beverages. DASH diet is poorer in total and saturated fat and cholesterol and richer in potassium, magnesium, calcium, and fiber in comparison to the habitual Western diet. In conclusion, although multiple dietary factors can influence on BP and each factor has a modest effect; the combined effects of those factors can be substantial. In the current study, we review food patterns, lifestyle, and their relationship with hypertension and the possible mechanisms involved.