Biotechnology and Biological Sciences Doctoral Training Programme

Mathematical modelling of the development of insulin resistance

Lab rotation project description

Existing models give crude descriptions of the metabolic processes in action following a meal. The initial work will concentrate on analysing how these processes vary with the proportion of fat and carbohydrate in the meal. Since carbohydrate is the major factor determining the insulin response generated by the pancreas, and insulin regulates many metabolic processes in the liver, muscles and adipose tissue, a change to the composition of the meal has a widespread influence on the fluxes in many areas of the body.

The initial study will consider the effect of varying of meal compositions on the metabolic fluxes in the during the post-prandial phase (several hours following a meal).

Fact file

Research theme

Molecules, Cells and Organisms


Mathematical Sciences


LR1, LR2, LR3


2nd supervisor

BBSRC Doctoral Training Partnerships

Linked PhD Project Outline

The stages in the progression of insulin resistance from full health to Type II diabetes is a matter of significant current interest both from a scientific perspective and in terms of public health policy.

The range of conditions from mild insulin resistance are commonly referred to under the umbrella term 'non alcoholic fatty liver disease', or NAFLD. At the extreme end of this is the more serious condition of nonalcoholic steatohepatitis (NASH). We have data available on a range of individuals at various stages along the pathway to insulin resistance, detailing their responses to a standard meal following an overnight fast.

Models of whole-body models of carbohydrate and fat metabolism are available at a range of scales and levels of detail. We aim to fit the mathematical model to the response of each individual in the study to the model, by determining the rate parameters of many processes for each individual.

We aim to determine the correlation between the known classical measures of insulin resistance for each individual and the efficiency of processes in each tissue. Hence we hope to uncover the order of progression of the disease, as insulin-resistance affects muscle, liver, adipose tissue, and as the pancreas loses glucose-sensitivity. We then propose to extend the model, to make it applicable to more severe conditions, (such as NASH), and refine the model by including detailed mathematical modelling of other relevant metabolic pathways. A classic example of such a process is the manufacture of TAG in the liver throught the DGAT-regulated processes. Recent experimental work has yielded data which will aid the construction of a detailed mathematical model useful for performing numerical simulations.

Nationally, this is an area of active work, and we have already established links with experimental groups in Reading, Leeds, and Oxford, who have made data available to us.


Biotechnology and Biological Sciences Doctoral Training Programme

The University of Nottingham
University Park
Nottingham, NG7 2RD

Tel: +44 (0) 115 8466946