Insights into Nutrient-stimulated Hormone Dynamics and Obesity: A Mathematical Modeling Study Using Bioinformatics Tools

Abstract

Abstract Introduction The concept of nutrient-stimulated hormone (NUSH) refers to the dynamic interaction between dietary components and the endocrine system, leading to the modulation of hormone secretion and subsequent metabolic changes. There is a notable gap in the existing literature regarding the utilization of mathematical models in studying the dynamics of NUSH levels and feedback loops related to obesity. Objective To explore the relationship between NUSH and obesity using mathematical modeling with bioinformatics tools. Method Data on obesity was collected from meta-analyses studies available on Pubmed that utilized incretin-based therapies. A mathematical model was developed using bioinformatics tools to integrate interactions between NUSH levels and body weight changes. The model accurately captured the complex dynamics and feedback loops involved in obesity-related hormone regulation using differential equations and statistical techniques. Parameter estimation was performed through optimization algorithms to minimize discrepancy between model predictions and observed data. Results This study included 10 meta-analyses on liraglutide and semaglutide for obesity treatment. A mathematical model was developed to understand the dynamics of NUSH in relation to obesity. The model incorporated a formula: NUSH(t) = N0 * (1 - e^(-kt)) + I * [1 - e^(-βt)] / β, that considered NUSH levels over time, initial levels, decay rate, impact of nutrient intake on hormone secretion, and the rate at which the effect of nutrient intake reaches its maximum. The model aimed to explain the relationship between NUSH and obesity development. Conclusion The combination of mathematical modeling and bioinformatics tools has provided insights into the complex interplay between NUSH and obesity.