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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.
Background:
Familial Mediterranean Fever (FMF) is a monogenic disease caused by gain-of-function mutations in the MEditerranean FeVer (MEFV) gene. The molecular dysregulations induced by these mutations and the associated causal mechanisms are complex and intricate.
Objective:
We sought to provide a computational model capturing the mechanistic details of biological pathways involved in FMF physiopathology and enabling the study of the patient's immune cell dynamics.
Methods:
We carried out a literature survey to identify experimental studies published from January 2000 to December 2020, and integrated its results into a molecular map and a mathematical model. Then, we studied the network of molecular interactions and the dynamic of monocytes to identify key players for inflammation phenotype in FMF patients.
Results:
We built a molecular map of FMF integrating in a structured manner the current knowledge regarding pathophysiological processes participating in the triggering and perpetuation of the disease flares. The mathematical model derived from the map reproduced patient's monocyte behavior, in particular its proinflammatory role via the Pyrin inflammasome activation. Network analysis and in silico experiments identified NF-κB and JAK1/TYK2 as critical to modulate IL-1β- and IL-18-mediated inflammation.
Conclusion:
The in silico model of FMF monocyte proved its ability to reproduce in vitro observations. Considering the difficulties related to experimental settings and financial investments to test combinations of stimuli/perturbation in vitro, this model could be used to test complex hypotheses in silico, thus narrowing down the number of in vitro and ex vivo experiments to perform.
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.
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