Using Viscoplastic Energy Model of GH-Method: Math-Physical Medicine to Validate Specific Glucose Dynamics in Type 2 Diabetes Pathophysiological Phenomena (No. 1045, VMT #443)

Abstract

Gerald C. Hsu

Increased body weight, particularly through the accumulation of adipose tissue like visceral fat, is strongly linked to insulin resistance. As time progresses, this insulin resistance can cause fasting plasma glucose (FPG) levels to rise due to a diminishing insulin efficiency.

The interplay between fasting plasma glucose levels and the insulin-producing capabilities of pancreatic beta-cells is crucial for blood sugar regulation and understanding the mechanisms behind diabetes, especially type 2 diabetes. Continuous high fasting plasma glucose levels may induce glucose toxicity, impairing beta-cell functionality and potentially leading to beta-cell burnout over time. Fasting Plasma Glucose reflects the equilibrium between glucose production, mainly from the liver, and its consumption by bodily tissues. The capacity to normalize fasting glucose levels post-meal is indicative of effective glucose management.

Additionally, inadequate sleep can exacerbate insulin resistance, challenging glucose control. Conversely, regular exposure to moderate variations in temperature may boost metabolic adaptability, aiding in glucose regulation across different scenarios, including postprandial periods.

The researcher compiled personal data spanning from May 1, 2015, to March 17, 2024, encompassing 10,007 meals. This data includes an average Fasting Plasma Glucose of 106 mg/dL, Postprandial Plasma Glucose (PPG) of 113 mg/ dL, 13.6 grams of carbohydrates and sugar intake, 4,180 steps walked after meals, an average of 6.4 hours of sleep, and an averaged ambient temperature of 73.8 degrees Fahrenheit. He utilized the Viscoplastic Medicine Theory (VMT) to analyze the energy levels of his PPG in relation to these five influential factors mentioned.

PDF