Regensburg 2022 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 12: Networks: From Topology to Dynamics (joint session SOE/BP/DY)

SOE 12.1: Talk

Wednesday, September 7, 2022, 10:15–10:45, H11

Modeling tumor disease and sepsis by networks of adaptively coupled phase oscillators — Eckehard Schöll^1,2,3, •Jakub Sawicki², Rico Berner^1,4, and Thomas Löser⁵ — ¹Institut für Theoretische Physik, TU Berlin, Germany — ²Potsdam Institute for Climate Impact Research — ³Bernstein Center for Computational Neuroscience Berlin — ⁴Institut für Physik, HU Berlin — ⁵Institut LOESER, Wettiner Straße 6, 04105 Leipzig

In this study, we provide a dynamical systems perspective to the modelling of pathological states induced by tumors or infection. A unified disease model is established using the innate immune system as the reference point. We propose a two-layer network model for carcinogenesis and sepsis based upon the interaction of parenchymal cells (organ tissue) and immune cells via cytokines, and the co-evolutionary dynamics of parenchymal, immune cells, and cytokines [1]. Our aim is to show that the complex cellular cooperation between parenchyma and stroma (immune layer) in the physiological and pathological case can be functionally described by a simple paradigmatic model of phase oscillators. By this, we explain carcinogenesis, tumor progression, and sepsis by destabilization of the healthy state (frequency synchronized), and emergence of a pathological state (multifrequency cluster). The coupled dynamics of parenchymal cells (metabolism) and nonspecific immune cells (reaction of innate immune system) are represented by nodes of a duplex layer. The cytokine interaction is modeled by adaptive coupling weights. [1] Sawicki, J., Berner, R., Löser, T., and Schöll, E., Frontiers Netw. Physiology 1,730385 (2022), arXiv:2106.13325v2.