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Large-scale computational modelling of the M1 and M2 synovial macrophages in Rheumatoid Arthritis by Naouel Zerrouk; Rachel Alcraft; Benjamin A. Hall; Franck Augé; Anna Niarakis is a scholarly article available to read on EtoBox.

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## Abstract Macrophages play an essential role in rheumatoid arthritis (RA). Depending on their phenotype (M1 or M2), they can play a role in the initiation or resolution of inflammation. The M1/M2 ratio in RA is higher than in healthy controls. Despite this, no treatment targeting specifically macrophages is currently used in clinics. Thus, devising strategies to selectively deplete proinflammatory macrophages and promote anti-inflammatory macrophages could be a promising therapeutic approach in RA. State-of-the-art molecular interaction maps of M1 and M2 macrophages in rheumatoid arthritis are available and represent a dense source of knowledge; however, these maps remain limited by their static nature. Discrete dynamic modelling can be employed to study the emergent behaviours of these systems. Nevertheless, handling such large-scale models is challenging. Due to their massive size, it is computationally demanding to identify biologically relevant states in a cell- and disease-specific context. In this work, we developed an efficient computational framework that converts molecular interaction maps into Boolean models using the CaSQ tool. Next, we use a newly developed BMA tool v

Author

Naouel Zerrouk; Rachel Alcraft; Benjamin A. Hall; Franck Augé; Anna Niarakis

Publisher

Cold Spring Harbor Laboratory

Published

2023

Language

EN