ANALYSIS OF AGEING METABOLISM IN MICE: SYSTEMS IDENTIFICATION FOR KINETIC MODELS OF FATTY-ACID METABOLIC NETWORKS
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 expectan...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/49983 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | 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.
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