A mathematical model of Familial Mediterranean Fever predicts mechanisms controlling inflammation

Maëva Veyssiere1, Sara Sadat Aghamiri2, Arturo Hernandez Cervantes1

  • 1Université Paris Cité, INSERM U976, Paris, France.

PubMed
Abstract

Insights

This study developed a computational model for Familial Mediterranean Fever (FMF), revealing key inflammatory pathways and monocyte dynamics. The model aids in understanding FMF and testing therapeutic strategies computationally.

Area of Science:

  • Computational biology
  • Systems biology
  • Immunology

Background:

  • Familial Mediterranean Fever (FMF) is a monogenic autoinflammatory disease.
  • Gain-of-function mutations in the Mediterranean Fever (MEFV) gene underlie FMF.
  • The precise molecular mechanisms driving FMF pathogenesis remain complex.

Purpose of the Study:

  • To develop a computational model of FMF.
  • To capture mechanistic details of FMF-related biological pathways.
  • To study immune cell dynamics in FMF patients.

Main Methods:

  • Conducted a literature survey (2000-2020).
  • Integrated findings into a molecular map and mathematical model.
  • Analyzed molecular interaction networks and monocyte dynamics.

Main Results:

  • Constructed a molecular map of FMF pathophysiology.
  • The mathematical model replicated FMF patient monocyte behavior and pro-inflammatory role.
  • Identified NF-κB and JAK1/TYK2 as key modulators of IL-1β and IL-18 inflammation.

Conclusions:

  • The in silico FMF monocyte model accurately reproduces in vitro observations.
  • This computational approach can reduce the need for extensive in vitro experiments.
  • The model offers a valuable tool for testing complex hypotheses in FMF research.