Naslov
NUTRITIONAL SYSTEMS BIOLOGY APPROACH: CASE STUDY OF GLYCOLYSIS METABOLISM USING THE CELLDESIGNER SOFTWARE PACKAGE

Autori
Marić, Lucija ; Malešić, Elena ; Jurinjak Tušek, Ana ; Benković, Maja ; Jurina, Tamara ; Valinger, Davor ; Gajdoš Kljusurić, Jasenka

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of abstracts: 6th International Congress of Nutritionists / Hrvatski Savez Nutricionista - Zagreb : Hrvatski savez nutricionista, 2018, 164-164

ISBN
978-953-48183-0-5

Skup
6. međunarodni kongres nutricionista = 6th International Congress of Nutritionists

Mjesto i datum
Zagreb, Hrvatska, 26.10.2018. - 28.10.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
nutritional systems biology, glycolysis metabolism, CellDesigner

Sažetak
Introduction Practically all cellular processes can be affected by diet and lifestyle. Nutrients and non-nutrient components of food alter the metabolic functions of the cell in complex ways. The understanding of the role of nutritional compounds on the cell is still limited by the lack of information. Lately, it has been recognised that systems biology tools have potential to increase understanding of how nutrition influences metabolic pathways and homeostasis. In this work, the effect of diet on the glycolysis metabolism was analysed. Materials and methods CellDesigner 4.0 (Systems Biology Institute (SBI), Tokyo, Japan) was used for constructing and simulating the model of the glycolysis metabolism. Mathematical model in the form of ordinary differential equations describes the changes of metabolites concentrations over time. The dynamic of the glycolysis metabolism of nutrients with different glycaemic indexes was also analysed. Same food has different glycemic index as a result of different variety and/or preparation process. Different foods were tested but as an example of preparation method is potato where glycemic index of cooked potatoes average is 50, while for backed potato it raises to 111, respectively. The influence of the variety can be observed on the example of 1 cup of rice, where Basmati Rice has lower glycemic index than white rice, 83 vs. 91, respectively. Results Mathematical simulations of the glycolysis model showed that the glucose consumption from nutrients with high glycaemic indexes resulted in a fast progress of the glycolysis metabolism. Simulation results also indicated that hexokinase was the most sensitive to the changes of available glucose concentration. Conclusions Application of the computational modelling in nutrient sbased pathway ensures detail insight in metabolic process and simple control of the metabolic reaction influenced by nutrient intake.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne biotehničke znanosti

POVEZANOST RADA