Arya Bhatta Journal of Mathematics and Informatics
  • Year: 2015
  • Volume: 7
  • Issue: 2

Stochastic model to estimate the insulin secretion using normal distribution

  • Author:
  • P. Senthil Kumar1, K. Balasubramanian2, A. Dinesh Kumar3
  • Total Page Count: 6
  • Page Number: 277 to 282

1Assistant Professor of Mathematics, Rajah Serfoji Government College (Autonomous), Thanjavur, Tamilnadu, India, Email: senthilscas@yahoo.com

2Assistant Professor of Mathematics, Anjalai Ammal Mahalingam Engineering College, Kovilvenni, Thiruvarur, Tamilnadu, India, Email: kpmaths@gmail.com

3Assistant Professor of Mathematics, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamilnadu, India, Email: dineshkumarmat@gmail.com

Online published on 5 December, 2015.

Abstract

Glucagon Like Peptide 1 (GLP-1) exerts beneficial antidiabetic actions via effects on pancreatic β and α cells. Previous studies have focused on the improvements in β cell function, while the inhibition of α cell secretion has received less attention. The aim of this research was to quantify the relative contribution of GLP-1 induced insulin increase and glucagon decrease, on the overall glucose lowering effect of native GLP-1 infusions in a clinical setting with the help of Painleve analysis. In some cases we find that it has only the conditional Painleve property and in other cases, just the painleve property. We also obtained special solutions of Painleve analysis. In that, one of the solution (i.e) the reduction of nonlinear diffusion equation to Riccati equation was used for the insulin secretion.

Keywords

Insulin, GLP-1, Painleve Property, Riccati Equation & Normal Distribution