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Membrane Na+-K+ ATPase inhibition mediated quantal model for brain evolution
Ravi Kumar Kurup1, Parameswara Achutha Kurup
1Department of Neurology, Medical College Hospital, Trivandrum, Kerala, India.
The International Journal of Neuroscience
|May 15, 2003
Summary
The hypothalamus produces a digoxin inhibitor, proposing a quantal perception model for life's origin. This model suggests macromolecules evolved into organisms and cells, with human consciousness potentially linked to bacterial networks.
Area of Science:
- Origin of Life Research
- Astrobiology
- Neuroscience
- Cell Biology
Background:
- The hypothalamus produces an endogenous Na+-K+ ATPase inhibitor, digoxin.
- Existing models do not fully explain the origin of self-replicating molecular organisms.
- The role of consciousness in the origin of matter remains a significant question.
Purpose of the Study:
- To propose a digoxin-mediated model for quantal perception and the origin of life.
- To elucidate the evolutionary pathway from macromolecules to complex organisms like the human brain.
- To explore the potential role of consciousness and intergalactic bacterial networks in universal evolution.
Main Methods:
- Theoretical modeling based on digoxin's inhibitory action.
- Postulation of a 'quantal state' enabling macromolecular self-replication.
- Evolutionary hypothesis tracing the development from molecular organisms to cellular structures and neuronal networks.
Main Results:
- A model where self-organized macromolecules replicate in a quantal state, forming molecular organisms (e.g., prions).
- Macromolecules aggregate into organelles, akin to independent bacteria, which then symbiotically cluster into cells.
- The human organism, including the brain, is conceptualized as a colony of symbiotic, flagellated bacteria forming neuronal networks.
Conclusions:
- The proposed model offers a novel perspective on the origin of life and biological complexity.
- Quantal perception and consciousness may play a fundamental role in the origin of matter.
- Intergalactic bacterial networks could be significant drivers of universal evolution.