Selection for Function in Complex Distributed Pathological Systems

Area of Science:

• Evolutionary Medicine
• Pathology
• Systems Biology

Background:

• Traditional views of disease focus on localized origins.
• Emerging evidence suggests many diseases function as interconnected, multi-site systems.
• This perspective is crucial for understanding disease persistence and progression.

Purpose of the Study:

• To propose a new framework for understanding diseases as complex, evolving pathological systems.
• To apply the principle of 'selection for function' to explain the persistence of various diseases.
• To reframe pathology beyond isolated breakdowns to emergent system properties.

Main Methods:

• Conceptual framework integrating selection for function with systems biology.
• Analysis of diseases like metastases, amyloidoses, fibroses, and autoimmune syndromes.
• Examination of local-systemic interactions and feedback loops in disease persistence.

Main Results:

• Diseases can be understood as complex evolving pathological systems where local units interact systemically.
• Local lesions can trigger systemic changes, creating self-reinforcing cycles of disease persistence.
• This systemic view unifies disparate conditions under the principle of 'system persistence'.

Conclusions:

• Pathology can be viewed as an emergent property of pathological systems, not just localized failures.
• This reframing has implications for disease classification and therapeutic strategies in evolutionary medicine.
• Future research should focus on disrupting pathological connectivity and monitoring systemic biomarkers.