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master's thesis
Analiza modela metabolizma ugljikohidrata
Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology, 2023. urn:nbn:hr:159:407598
Matos, Antonija
University of Zagreb
Faculty of Food Technology and Biotechnology
Department of Process Engineering
Laboratory for Measurement, Regulation and Automatisation

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Matos, A. (2023). Analiza modela metabolizma ugljikohidrata (Master's thesis). Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:159:407598

Matos, Antonija. "Analiza modela metabolizma ugljikohidrata." Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2023. https://urn.nsk.hr/urn:nbn:hr:159:407598

Matos, Antonija. "Analiza modela metabolizma ugljikohidrata." Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, 2023. https://urn.nsk.hr/urn:nbn:hr:159:407598

Matos, A. (2023). 'Analiza modela metabolizma ugljikohidrata', Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, accessed 04 February 2025, https://urn.nsk.hr/urn:nbn:hr:159:407598

Matos A. Analiza modela metabolizma ugljikohidrata [Master's thesis]. Zagreb: University of Zagreb, Faculty of Food Technology and Biotechnology; 2023 [cited 2025 February 04] Available at: https://urn.nsk.hr/urn:nbn:hr:159:407598

A. Matos, "Analiza modela metabolizma ugljikohidrata", Master's thesis, University of Zagreb, Faculty of Food Technology and Biotechnology, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:159:407598

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Metadata
TitleAnaliza modela metabolizma ugljikohidrata
Title (english)Analysis of the model of carbohydrate metabolism
AuthorAntonija Matos
MentorAna Jurinjak Tušek (mentor)
Committee memberJasenka Gajdoš Kljusurić (predsjednik povjerenstva)
Committee memberMaja Benković (član povjerenstva)
Committee memberIvana Rumora Samarin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Food Technology and Biotechnology
(Department of Process Engineering)
(Laboratory for Measurement, Regulation and Automatisation)
Zagreb
Defense date and country2023-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Nutrition
Abstract
Posljednje desetljeće obilježeno je znatnim napretkom u znanosti i tehnologiji. Sistemska biologija i „omike“ (engl. omics) suvremene su tehnologije koje su omogućile holistički pristup istraživanju brojnih znanstvenih područja, pa tako i područja interakcije čovjeka i hrane. Korištenjem ovih alata mogu se vrlo precizno prikazati razni sintetski biološki sustavi koji se koriste kao zamjena istraživanjima na živućim stanicama. U ovom radu istraživanje je bilo usmjereno na metabolizam ugljikohidrata u hepatocitima. Za dizajniranje modela metabolizma i su programi CellDesigner verzija 4.4.2 i WR Mathematica 10.0. Rezultati su pokazali veliku učinkovitost računalne simulacije za analizu metabolizma glukoze. Matematički model ne samo da daje uvid u ponašanje metabolita pod različitim uvjetima, već omogućava razvijanje personalizirane prehrane za prevenciju i remisiju dijabetesa tipa 2, te razvijanje lijekova s ciljanim djelovanjem. Upravo su mediteranska i ketogena dijeta obrasci prehrane koji predstavljaju dobre podloge za optimiranje prehrane u svrhu regulacije glikemije. Nadalje, analiza globalne parametarske osjetljivosti omogućava detekciju i analizu ključnih točaka modela.
Abstract (english)
The last decade has been marked by significant progress in science and technology. Systems biology and "omics" are modern technologies that have enabled a holistic approach to research in numerous scientific fields, including the field of human-food interaction. By using these tools, various synthetic biological systems can be displayed very precisely, which are used as a substitute for research on living cells. In this thesis, the research was focused on carbohydrate metabolism in hepatocytes. CellDesigner version 4.4.2 and WR Mathematica 10.0 were used to design the metabolism model. The results showed the high efficiency of the computer simulation for the analysis of glucose metabolism. The mathematical model not only provides insight into the behavior of metabolites under different conditions, but also enables the development of personalized nutrition for the prevention and remission of type 2 diabetes, as well as the development of drugs with targeted action. It is precisely the Mediterranean and ketogenic diets that represent good bases for optimizing nutrition for the purpose of glycemic regulation. Furthermore, the analysis of global parametric sensitivity enables the detection and analysis of the key points of the model.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:159:407598
Study programmeTitle: Nutrition
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra nutricionizma (magistar/magistra nutricionizma)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) icon
RepositoryRepository of the Faculty of Food Technology and Biotechnology
Created on2024-12-12 12:52:58

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