University of Groningen
Mathematical modeling of senescence in metabolic networks Ivanov, Oleksandr
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Publication date: 2018
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Ivanov, O. (2018). Mathematical modeling of senescence in metabolic networks. University of Groningen.
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Propositions with the thesis
“Mathematical modeling of senescence in metabolic networks”
by Oleksandr Ivanov
1. Ultimately all life processes depend crucially on metabolism and its regulation. Therefore, senescence is ultimately manifested in metabolic networks functioning.
2. The dynamics of complex metabolic networks can be surprisingly simple. In networks without internal regulation, the metabolite concentration converges (under mild assumptions) to a set of steady states (Chapters 2 and 3).
3. The dynamics of simple metabolic networks can be very complex. In networks with internal regulation, feedback loops can induce bifurcations, oscillations, and chaos (Chapter 4).
4. Control of flux of metabolites evolves to be distributed among multiple enzymes in metabolic pathways. The manifestation of senescence in the form of degradation of enzyme activity of metabolic regulation may have an effect on the evolution of the architecture underlying metabolic flux control. (Chapter 5).
5. There may be a trade-off between the short-term and the long-term robustness of metabolism. Regulatory feedbacks increase the short-term robustness of a metabolic network to the daily
fluctuations in substrate concentrations at the cost of potential metabolism destabilization at a later age (Chapter 6).
6. The view that senescence is linked to metabolic regulation leads to the testable prediction that the probabiity of emergence of complex dynamics of metabolite concentrations increases with age (Chapter 6).
7. The public media discuss all kinds of recipes promising an extreme extension of longevity by a radical change in life style. A simpler method for achieving the same goal might be the discovery of a universal law of nature or the storage of one’s consciousness in the cloud.
