Paper Information

Journal:   GOVARESH JOURNAL   FALL 2015 , Volume 20 , Number SUPPLEMENT; Page(s) 42 To 43.
 
Paper: 

NUMERICAL MODELING OF HEPATIC CARBOHYDRATE METABOLISM IN A MICROFLUIDIC CHANNEL DURING DIFFERENT METABOLIC CONDITIONS

 
 
Author(s):  SHARIFI FATEMEH*, NEJADNASROLLAH FARZAM, FIROOZABADI BAHAR, SAIDI MOHAMADSAID, FIROOZBAKHSH KEIKHOSROW
 
* MECHANICAL ENGINEERING FACULTY, SHARIF UNIVERSITY OF TECHNOLOGY
 
Abstract: 

Introduction: Liver regulate human body's glucose through preserving circulating blood sugar at constant value. Since most of the cells in the body use sugar as a source of energy, maintaining the constant level of the glucose is of great importance. In this regard, simulation of glucose metabolism which is mainly performed by hepatocytes helps better understanding of central role of the liver.
Methods: This study models glucose metabolism in a microfluidic device. Hepatocytes are cultured at the top and bottom walls of the micro channel mimicking hepatic lobules. The microchannel dimensions are chosen in a way that imitates hepatic porto central axis. To accomplish this simulation, reaction network of metabolic pathways found in liver was applied in the model in conjunction with solution of fluid flow and convection diffusion equations along the microfluidic. The fluid velocity in the microfluidic is also in accordance with average blood velocity in the liver lobule.
Interaction of fluid dynamics and metabolic reactions led to determination of glucose concentration throughout the microfluidic. Results were validated and some of them are compared with available experimental results. This model also considers hepatic heterogeneity of different essential enzymesexpression along liver lobule.
Results: Figure, shown below, depicts glucose production along length of the channel with respect to time. Glucose flux in the blood is obtained ca.9?mol/g ww /min. As a consequence of this simulation, glucose concentration along the hepatic lobule can be predicted in different metabolic state i.e. fasting, resting and high intensity exercise state.
Conclusion: The results of the presented simulation will provide a mathematical laboratory in order to help the researchers and physicians in better understanding the consequences of different factors i.e. different enzymes deficiencies, metabolic states etc. in carbohydrate metabolic activity of the liver.

 
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