In Silico Simulation of Corticosteroids Effect on an NFkB- Dependent Physicochemical Model of Systemic Inflammation

A reversed engineered inflammation model is proposed that seeks to describe how the system responds to a multitude of external signals and lies in qualitative agreement with in vivo human studies exposed both to LPS and corticosteroids under various time intervals thus improving understanding of how interacting modules generate a behavior.

Abstract

We propose a reversed engineered inflammation model that seeks to describe how the system responds to a multitude of external signals. Timing of intervention and dosage regimes appears to be key determinants for the protective or symptomatic effect of exogenous corticosteroids. Such results lie in qualitative agreement with in vivo human studies exposed both to LPS and corticosteroids under various time intervals thus improving our understanding of how interacting modules generate a behavior.