A Special Neuro-Communication Influences on GH.p-Modulus of Linear Elastic Glucose Theory Based on Data from 159 Liquid Egg and 126 Solid Egg Meals Using GH-Method: Math-Physical Medicine, Part 11 (No. 363)

Abstract

This article is Part 11 of the author’s linear elastic glucose behavior study. It focuses on a deeper investigation regarding the specific glucose coefficient of GH.p-modulus, which involves the influence of the neuro-communication between the stomach, brain, and liver pertaining to the postprandial plasma glucose (PPG) production amount (see Reference 6). When a person consumes a meal in a liquid state such as egg drop soup, the stomach would “trick” or “trigger” the brain to recognize the arrival of fluids, then it issues a marching order to the liver to produce a lesser amount of PPG. Due to the smaller value of carb intake and the mathematical definition of the incremental PPG, the value of GH.p-modulus must be raised to a higher value in order to achieve a high prediction accuracy for egg meals, especially for solid egg meals with the same small intake amount of carbs/sugar. This article provides the background data, observed physical phenomena, and mathematical derivations to interpret and prove these higher values of GH.p-modulus for egg meals. By using two different time periods, it also demonstrates the strong linkage between GH.p-modulus and the patient’s overall diabetes status, either it is improving (through a dropped GH.p-modulus) or worsening (through a raised GH.p-modulus). Here is the step-by-step explanation of the predicted PPG equation from the six clinical cases using linear elastic glucose theory as described in References 9 through 18: (1) Baseline PPG equals to 97% of FPG value, or 97% * (weight * GH.f-Modulus). (2) Baseline PPG plus increased amount of PPG due to food, i.e. plus (carbs/sugar intake amount * GH.p-Modulus). (3) Baseline PPG plus increased PPG due to food, and then subtracts reduction amount of PPG due to exercise, i.e. minus (post-meal walking k-steps * 5). (4) The Predicted PPG equals to Baseline PPG plus the food influences, and then subtracts the exercise influences. The linear elastic glucose equation is: Predicted PPG =(0.97 * GH.f-modulus * Weight) +(GH.p-modulus * Carbs&sugar) - (post-meal walking k-steps * 5) Where Incremental PPG =Predicted PPG - Baseline PPG + Exercise impact GH.f-modulus = FPG / Weight GH.p-modulus =ncremental PPG / Carbs intake This article uses the neuro-scientific experiment results of two physical states of egg meals to further investigate the two glucose coefficients, in particular the GH.p-modulus value and meaning. The GH.p-modulus is not only the direct result of lifestyle difference (diet and exercise) but also includes the status difference of the chronic diseases (baseline PPG via weight and FPG). It also reflects the general health state of pancreatic beta cells of a particular patient which can be described by the fasting plasma glucose (FPG) level. In addition, it further contains the neuroscience of communication model between the brain and stomach regarding the amount of glucose production or glucose release in response to a specific message of the timing of the food’s entry and the physical state of the stomach and intestine. This neurology viewpoint makes the GH.p-modulus even more complex. Nevertheless, the linear elastic glucose theory still applies to the special case of the neuro-scientific egg meals, even though it creates a much higher GH.p-modulus value that can be considered as one of the boundary cases in this linear elasticity study. With the neuro-scientific case study, it is clear that this linear elastic glucose behavior is much more complicated than the classical engineering elasticity theory because the engineering inorganic materials do not change for a long period of time. The human body is made from organic living cells. For example, blood contains millions of organic living red blood cells with an average lifespan of 115 to 120 days and liver cells that last about 300 to 500 days. In addition, the glucose production and release are controlled by the brain. The glucose level is further regulated by insulin (a type of hormone) produced by the pancreas which is also controlled by the brain. The communication between the brain and nervous system can throw a curve ball into the glucoses game making this research work not only more complicated but also more interesting.