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Stochasticity, Entropy and Neurodegeneration.
1Neurodegenerative Disorders Research Pty Ltd., Perth 6005, Australia.
Brain Sciences
|February 25, 2022
Summary
Stochastic processes drive sporadic adult neurodegenerative disorders. This theoretical framework explains how random molecular changes at protein, DNA, and RNA levels contribute to disease progression and multiple proteinopathies.
Area of Science:
- Neuroscience
- Biophysics
- Genetics
Background:
- Sporadic adult-onset neurodegenerative disorders are complex and their underlying mechanisms are not fully understood.
- Previous work suggested a role for stochastic processes in disease development.
Purpose of the Study:
- To develop a theoretical framework explaining stochastic processes at molecular levels (protein, DNA, RNA).
- To elucidate the role of probability in random sequencing changes leading to neurodegeneration.
- To explain the simultaneous involvement of multiple proteins in sporadic neurodegenerative diseases.
Main Methods:
- Theoretical modeling of stochastic processes.
- Application of principles from thermodynamics and the N-body problem.
- Analysis of protein interactions in a space-time continuum.
Main Results:
- A framework is proposed where probability governs random molecular changes favoring neurodegeneration.
- Stochastic protein changes are modeled as vectors in space-time, influenced by physiological variables.
- The model incorporates the second law of thermodynamics and protein network disorder to explain disease progression.
Conclusions:
- This theoretical model provides insight into the development of sporadic adult-onset neurodegenerative disorders.
- It helps explain the co-occurrence of multiple misfolded proteinopathies.
- The framework highlights the fundamental role of stochasticity in neurodegeneration.
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