Critical parameters in dynamic network modeling of sepsis
Rico Berner, Jakub Sawicki, Max Thiele, Thomas L\"oser, Eckehard, Sch\"oll

TL;DR
This paper introduces a dynamical network model of sepsis, illustrating how immune-parenchymal interactions can lead to pathological states, providing insights into organ dysfunction and sepsis progression.
Contribution
It develops a novel two-layer network model using phase oscillators to analyze immune and parenchymal cell interactions in sepsis.
Findings
Dysregulation leads to desynchronized cellular states
Critical interaction parameters determine stability
Model explains organ dysfunction in sepsis
Abstract
In this work, we propose a dynamical systems perspective on the modeling of sepsis and its organ-damaging consequences. We develop a functional two-layer network model for sepsis based upon the interaction of parenchymal cells and immune cells via cytokines, and the coevolutionary dynamics of parenchymal, immune cells, and cytokines. By means of the simple paradigmatic model of phase oscillators in a two-layer system, we analyze the emergence of organ threatening interactions between the dysregulated immune system and the parenchyma. We demonstrate that the complex cellular cooperation between parenchyma and stroma (immune layer) either in the physiological or in the pathological case can be related to dynamical patterns of the network. In this way we explain sepsis by the dysregulation of the healthy homeostatic state (frequency synchronized) leading to a pathological state…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
