Reinterpreting Disease: An Integrated Bio-Environmental-Microbial Phase Network Model

Abstract

Recent advances in chronobiology and environmental biophysics suggest that biological, microbial, and planetary systems form interconnected oscillatory networks. This paper proposes a unified phase-network framework, in which cardiac, neural, immune, and endocrine subsystems interact with microbiota and environmental oscillations—including geomagnetic and atmospheric charge cycles. By analyzing clinical and observational data across four disease categories (cancer, autoimmune disorders, infections, and metabolic syndromes), we identify three characteristic failure modes: phase collapse, over-synchronization, and abrupt switching. Each condition displays a distinct phase signature, with infections showing rapid microbial shifts tied to phase dynamics. These findings support an interpretation of disease as a breakdown in cross-domain phase coherence, reframing pathology as emergent from disrupted informational alignment. This perspective offers a novel theoretical grounding for diagnostics and intervention, rooted in long-term, planetary-scale observation—the only viable path to causal inference in coupled Earth–life systems.