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Neuroendocrine-immune interaction: Evolutionarily conserved mechanisms that maintain allostasis in an ever-changing
B M Lidy Verburg-van Kemenade1, Nicholas Cohen2, Magdalena Chadzinska3
1Cell Biology and Immunology Group, Dept. of Animal Sciences, Wageningen University, P.O. Box 338, 6700 AH Wageningen, The Netherlands.
The immune and neuroendocrine systems communicate bidirectionally, sharing molecular pathways. Understanding this neuroendocrine-immune communication reveals conserved mechanisms vital for physiological adaptation and defense.
Area of Science:
- Neuroendocrinology
- Immunology
- Physiology
- Evolutionary Biology
Background:
- The immune and neuroendocrine systems are recognized as integrated physiological components.
- These systems interact with processes like growth, reproduction, metabolism, and neuronal development.
- Communication extends to psychological and environmental stressors, influencing immune responses.
Purpose of the Study:
- To review the principal mechanisms of bidirectional neuroendocrine-immune communication.
- To explore the evolutionary history of these communication pathways.
- To identify shared molecular pathways and receptors between the neuroendocrine and immune systems.
Main Methods:
- Literature review focusing on neuroendocrine-immune interactions.
- Analysis of evolutionary conservation of communication mechanisms.
- Examination of shared molecular pathways and receptor usage.
Main Results:
- Evidence of a conserved "common vocabulary" of information pathways, molecules, and receptors.
- Identification of evolutionarily ancient and recently acquired communication mechanisms.
- Demonstration of bidirectional communication influencing adaptive responses like fever and sickness behavior.
Conclusions:
- Neuroendocrine-immune communication is a fundamental, evolutionarily conserved physiological process.
- Understanding this interaction is crucial for comprehending adaptation to pathogens and stressors.
- Shared molecular mechanisms highlight the deep integration of these systems throughout evolution.
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