System, Method and Computer Simulation Environment For In Silico Trials in Pre-Diabetes and Type 2 Diabetes

Abstract

An electronic system and method simulates a glucose-insulin metabolic system of a T2DM or prediabetic subject, wherein the system includes a subsystem that models dynamic glucose concentration in a T2DM or prediabetic subject, including an electronic module that models endogenous glucose production (EGP(t)), or meal glucose rate of appearance (Ra(t), or glucose utilization (U(t)), or renal excretion of glucose (B(t)), a subsystem that models dynamic insulin concentration in the T2DM or prediabetic subject, including an electronic module that models insulin secretion (S(t)), an electronic database containing a population of virtual T2DM or prediabetic subjects, each virtual subject having a plurality of metabolic parameters, and a processing module that calculates an effect of variation of at least one metabolic parameter value on the glucose insulin metabolic system of a virtual subject by inputting the plurality of metabolic parameter values.

What is claimed is: 
     
         1 . A computer-implemented method for simulating a glucose-insulin metabolic system of a T2DM or prediabetic subject, comprising:
 modeling, by at least one processor dynamic glucose concentration in a T2DM or prediabetic subject, by
 modeling endogenous glucose production (EGP(t)) of a T2DM or prediabetic subject, 
 modeling meal glucose rate of appearance (Ra(t)) of a T2DM or prediabetic subject, 
 modeling glucose utilization (U(t)) of a T2DM or prediabetic subject, and 
 modeling renal excretion of glucose (E(t)) of a T2DM or prediabetic subject; 
   modeling, by at least one processor, dynamic insulin concentration in said T2DM or prediabetic subject, by
 modeling insulin secretion (S(t)) of a T2DM or prediabetic subject; 
   providing an electronic database containing a population of virtual T2DM or prediabetic subjects representative of the T2DM and prediabetic population, each virtual subject having a plurality of metabolic parameters with values encompassing a distribution of parameters observed in vivo across the population of T2DM or prediabetic subjects; and   calculating, by at least one processor, an effect of variation of at least one metabolic parameter value on the glucose-insulin metabolic system of a virtual T2DM or prediabetic subject by inputting said plurality of metabolic parameter values of said T2DM or prediabetic subject into said glucose concentration and insulin concentration subsystems and varying at least one of said metabolic parameter values to determine its effect on the glucose-insulin metabolic system of said T2DM or prediabetic subject.