Frayling, T. M., Beaumont, R. N., Jones, S. E., Yaghootkar, H., Tuke, M. A., Ruth, K. S., & Wood, A. R. (2018). A common allele in FGF21 associated with sugar intake is the body shape, lower total body-fat percentage, and higher blood pressure. Cell Reports, 23(2), 327-336. Web.
The fibroblast strong stimulus 21 is the Insulin hormone detection (FGF21). Certain analog studies of FGF21 indicate weight and fat decrease. A recent study showed that there is little evidence to show how a common ally of the FGF21 gene affects the macronutrient intake equilibrium. The aim was to prevent possible negative and positive effects on targeted FGF21 for the warning man in 451,099 studied participants in UK Biobank studies. The correlation was replicated between A and a higher intake of carbohydrates. Thus, despite the connection to the lower total body fat percentage than BMI or Type 2 diabetes, it was found that these allies were closely correlated with elevated blood pressure and waist-hip relationship. For the purpose of this proposed research, the data highlighted in this article provide insights helpful in understanding better common alleles and how they relate to sugars and diabetes, making it necessary for the research.
Johnson, R. J., Sánchez-Lozada, L. G., Andrews, P., & Lanaspa, M. A. (2017). Perspective: A historical and scientific perspective of sugar and its relation with obesity and diabetes. Advances in Nutrition, 8(3), 412-422. Web.
In the laboratory, epidemiological and clinical studies on fructose-containing saturated fat, such as sucrose and higher-fructone maiz syrup, the global obesity and diabetes epidemic were involved. Johnson et al. (2017) further discussed the history and role of sugar intake in these epidemics. The evidence that uricase mutation was “a thrifty gene,” which increased the alleged risk of obesity due to fructose in ancient humans in the Mid-Miocene, is investigated and key lab studies established mechanisms for obesity and diabetes. Johnson et al. (2017) analyze recent evidence of obesity from non-eternal fructose sources, such as glucose metabolism, via the polyol route (from high-glycemic carbohydrates). For the purpose of this proposed research, the data highlighted in this article provide insights that will be helpful to identify the historical and scientific perspective of sugars and how they relate to diabetes.
Mozaffarian, D. (2020). Dietary and policy priorities to reduce the global crises of obesity and diabetes. Nature Food, 1(1), 38-50. Web.
Twin obesity and diabetes type 2 present the world’s most obvious global food crisis (T2DM). There is, however, some uncertainty about optimum food priorities and political reactions and debate about the situation. The paper looks at diet proofs, emerging fields and policy lessons for obesity and T2DM. This involves challenges for long-term weight control and dietary health metabolism, the need to concentrate both on increasing protective foods, such as low-processing and phytochemicals-related foods, and on reducing deleterious factors. Continuing experiments, including foods, non-nutrient sweeteners, emulsifiers and microbiomes are illustrated by emerging evidence and personal nutrition. Mozaffarian (2020) also noted that multi-sector nutrition-based, evidence-based programs cover diverse fields like health systems. The proposed research will rely on this article to emulate the policies based on the diet in reducing the crisis.
Sikalidis, A. K., & Maykish, A. (2020). The gut microbiome and type 2 diabetes mellitus: discussing a complex relationship. Biomedicines, 8(1), 8. Web.
A disorder of direct association is the second type of diabetes mellitus (T2DM) and affects more than 9 percent of the U.S. population. Just recently investigations have supported the presumption that the condition is more complex once a sedentary and extremely fat diet is expected to generate obesity. The human intestinal microbiome recently started the disease. The evidence shows that the microbiome is T2DM-like as predicted. High-fat diets contribute to the poor reputation of the microbiota, which transforms the intestine into a condition of dysbiosis. Metabolism, such as increased resistance to insulin and inflammatory effects, can contribute to dysbiosis. T2DM production is two major factors. This research will concentrate on microbiomes, such as obesity, resistance to insulin and inflammation, for T2DM. The present research will help in understanding the gut microbiome and type 2 diabetes mellitus.
Wang, Y., Xue, H., Huang, Y., Huang, L., & Zhang, D. (2017). A systematic review of the application and effectiveness of mHealth interventions for obesity and diabetes treatment and self-management. Advances in Nutrition, 8(3), 449-462. Web.
In this study, the publications on mHealth systematic reviews for the therapy of obesity and diabetes were reviewed in-depth in order to determine their efficacy. PubMed was searched systemically for health-related diabetes, obesity and management studies published between 2000 and 2016. Various inclusion criteria have been met in terms of contributing researchers’ sample sizes, ethnicity, sex, age and length. Initiatives on mHealth have been split into wearable and handheld SMS devices for mobile phones and applications. The key results were weight loss or retention and a decrease in blood glucose, with major side effects including electronic consulting for the actions and patient views. The research has been conducted thoroughly with grammatical clearness. For the purpose of this proposed research, the data highlighted in this article provide insights helpful in understanding the good well-being of mobile and wireless technologies and accessible devices which increase the health and outcome of chronically ill patients, such as obesity and diabetes.
References
Frayling, T. M., Beaumont, R. N., Jones, S. E., Yaghootkar, H., Tuke, M. A., Ruth, K. S., & Wood, A. R. (2018). A common allele in FGF21 associated with sugar intake is the body shape, lower total body-fat percentage, and higher blood pressure. Cell Reports, 23(2), 327-336. Web.
Johnson, R. J., Sánchez-Lozada, L. G., Andrews, P., & Lanaspa, M. A. (2017). Perspective: A historical and scientific perspective of sugar and its relation with obesity and diabetes. Advances in Nutrition, 8(3), 412-422. Web.
Mozaffarian, D. (2020). Dietary and policy priorities to reduce the global crises of obesity and diabetes. Nature Food, 1(1), 38-50. Web.
Sikalidis, A. K., & Maykish, A. (2020). The gut microbiome and type 2 diabetes mellitus: discussing a complex relationship. Biomedicines, 8(1), 8. Web.
Wang, Y., Xue, H., Huang, Y., Huang, L., & Zhang, D. (2017). A systematic review of the application and effectiveness of mHealth interventions for obesity and diabetes treatment and self-management. Advances in Nutrition, 8(3), 449-462. Web.