In 2021, the United Nations Committee on Development Policy adopted a resolution that Bangladesh would graduate from least developed country (LDC) status after a period of 5 years. This means that in 2026 Bangladesh would have to forego its exemption to intellectual property (IP) provisions of the World Trade Organization (WTO). Bangladesh has taken advantage of the policy space it was granted under the LDC exemption to build a generic medicines industry that not only serves Bangladesh but also other LDCs. We examine how IP provisions in the WTO will impact the price of insulin in Bangladesh and the subsequent impacts on welfare and poverty. We find that LDC graduation will trigger a significant jump in insulin prices that could cause about a 15% decline in the welfare of households in Bangladesh with one or more members living with diabetes, increasing the poverty rate of such households unless policy adjustments are carried out.
Our purpose was to investigate the effects of electroacupuncture (EA) therapy on body weight and on levels of serum insulin, c-peptide and glucose in obese women. 52 healthy women were included in this study and were allocated into three groups: 1) Placebo EA group (n = 15; mean age = 41.8 ± 4.6 and mean body mass index {BMI} = 33.2 ± 3.5); 2) EA group (n = 20; mean age = 42.1 ± 4.4 and BMI = 35.9 ± 3.6) and 3) Diet restriction group (n = 20; mean age = 42.9 ± 4.3 and BMI = 34.7 ± 2.7). EA was applied to the ear points Hunger and Shen Men on alternating days and to the body points LI 4, LI 11, St 36 and St 44 once a day for 30 minutes over 20 days. Diet restriction that entailed a 1450 kilocalorie (kcal) diet program was applied to the three groups for 20 days. An increase in weight loss was observed when weight loss in the EA group (p < 0.000) was compared to that in the diet restricted and placebo EA groups using the Tukey HSD test. There were increases in the serum insulin (p < 0.001) and c-peptide levels (p < 0.000) in the women treated with EA compared to those in the women treated with the placebo EA and diet restriction groups. A decrease was observed in the glucose levels (p < 0.01)in both the EA and diet restriction groups compared to those in the placebo EA group. Our results suggest that EA therapy is an effective method in treating obesity. EA therapy also helps serum glucose levels to decrease through the increase of serum insulin and c-peptide levels.
Alcoholic fatty liver (AFL) is a reversible condition, but it can potentiate the development of alcoholic hepatitis and even cirrhosis by increasing oxidant generation, which is one of the key pathogenic factors and could result in alcoholic liver disease (ALD). Total flavonoids from Litsea coreana (TFLC), an active component extracted from Litsea coreana leve, have been shown to have therapeutic effects on hyperlipidemia. The present study was to evaluate the protective effects of TFLC on alcoholic fatty liver (AFL) in rats, and investigate the potential mechanism. An AFL model in rats was established by intaking different doses of alcohol (concentration from 5% to 40%) over 12 weeks. Serum levels of TG, TC, LDL-C, HDL-C, TNF-α, insulin, and glucose were measured, histopathologic changes were determined, and expression of adipose differentiation-related protein (ADRP) in the liver were evaluated by Western blotting and immunohistochemistry, respectively. The results showed that treatment with TFLC resulted in decreased serum levels of TG, TC, LDL-C, TNF-α, glucose and insulin, as well as improved liver index. Morphological evaluation revealed rats in model group developed a severe steatosis, but the severities of liver steatosis were effectively ameliorated in TFLC (200 and 400 mg/kg) treated groups. Expression of hepatic ADRP were increased in model group, and suppressed in TFLC treated groups. These results suggest that TFLC had a protective effect on AFL rats; the mechanism may be involved in regulation serum lipid profiles via down-regulation of hepatic expression of ADRP in AFL rats.
Mathematical modeling is very helpful for noninvasive investigation of glucose-insulin interaction. In this paper, a new time-delay mathematical model is proposed for glucose-insulin endocrine metabolic regulatory feedback system incorporating the β-cell dynamic and function for regulating and maintaining bloodstream insulin level. The model includes the insulin degradation due to glucose interaction. The dynamical behavior of the model is analyzed and two-dimensional bifurcation diagrams with respect to two essential parameters of the model are obtained. The results show that the time-delay in insulin secretion in response to blood glucose level, and the delay in glucose drop due to increased insulin concentration, can give rise to complex dynamics, such as periodic oscillation. These dynamics are consistent with the biological findings and period doubling cascade and chaotic state which represent metabolic disorder that may lead to diabetes mellitus.
A mathematical model for Intra-Venous Glucose Tolerance Test (IVGTT) with explicit glucose–insulin interaction is presented as a system of delay differential equation with discrete time delays and its important mathematical features are analyzed. This model includes the positivity and boundedness of the solution. An unique equilibrium point is found and its local stability is investigated. Using the Lyapunov functional approach, we show the global stability of the unique equilibrium point. The length of delay that preserves the stability is estimated. Sensitivity analysis is performed on a delay differential equation model for IVGTT that suggests the parameter value has a major impact on the model dynamics. Numerical calculations are performed to support and elaborate the analytical findings.
Calcium (Ca2+) signaling is reported as a critical factor in the insulin secretion mechanism of pancreatic β-cells. Further, calcium signaling also has interactions with other similar signaling systems like adenosine triphosphate (ATP) to achieve the functions of β-cells. Disturbances in any of these two interactive signaling systems can cause disorders in the secretion mechanism of insulin, leading to the onset of type-2 diabetes. Therefore, this paper presents a one-dimensional spatio-temporal mathematical model designed to explore the dynamic interactions between ATP and Ca2+ within a pancreatic β-cell. The model under consideration comprises a set of nonlinear reaction–diffusion equations governing the behavior of Ca2+ and ATP. The formulation of the initial and boundary conditions takes into account the physical and physiological factors associated with the β-cell. Further, the model also incorporates adenosine diphosphate (ADP) production due to the hydrolysis of ATP and Ca2+-dependent insulin secretion of the β-cell. The numerical results are acquired through the utilization of the finite element method. The time derivative terms are resolved through the utilization of the Crank–Nicolson method. The various glycemic states caused by variational impacts of system parameters are demonstrated.
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