ANALYSIS OF AGEING METABOLISM IN MICE: SYSTEMS IDENTIFICATION FOR KINETIC MODELS OF FATTY-ACID METABOLIC NETWORKS

• Main Author: Christsandya Arivian Kumara, Fx
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/49983
• Institution: Institut Teknologi Bandung

It is widely accepted that a good lifestyle leads to healthy aging. However, hitherto there is still a large obscure over the subject. Many inter-discipline research had tried to elucidate the underlying mechanisms, given a multitude of health problems associated with the increasing life expectancy. Control theory via system identification method could contribute by analyzing the perturbation on the systems taking part in the aging process. One of them is beta-oxidation, a catabolic process that has an important role in fat metabolism. In this research, we done system identification for beta-oxidation reaction networks by fitting the data for various different mice group, to see whether some conditions, exercise or diet, had influenced the metabolic functioning in the mitochondria. In doing that we made use of the data collected by the research team from Ageing Research Group, University of Groningen, as well as the model that they developed. This study successfully mimics the perturbation of the system dynamics of the conditioned mice’s metabolism by estimating the parameters. Hybrid optimization provides the best results among the other identification variations. Further steady-state simulation using the results showed that lifestyle conditioning does affect the betaoxidation system. Observed perturbation included a change in fatty acid molecules and enzyme activities, which gave insight about the role of lifestyle on the senescence process. The analysis suggested that both high calorie and working out and low calorie without working out lifestyles are more dangerous for humans' overall wellbeing than the other.