A stimulus‐contingent positive feedback loop enables IFN‐β dose‐dependent activation of pro‐inflammatory genes

Author:

Wilder Catera L1,Lefaudeux Diane1,Mathenge Raisa1,Kishimoto Kensei1,Zuniga Munoz Alma1,Nguyen Minh A1,Meyer Aaron S2,Cheng Quen J13ORCID,Hoffmann Alexander1ORCID

Affiliation:

1. Department of Microbiology, Immunology, and Molecular Genetics University of California Los Angeles CA USA

2. Department of Bioengineering University of California Los Angeles CA USA

3. Division of Infectious Diseases, Department of Medicine University of California Los Angeles CA USA

Abstract

AbstractType I interferons (IFN) induce powerful antiviral and innate immune responses via the transcription factor, IFN‐stimulated gene factor (ISGF3). However, in some pathological contexts, type I IFNs are responsible for exacerbating inflammation. Here, we show that a high dose of IFN‐β also activates an inflammatory gene expression program in contrast to IFN‐λ3, a type III IFN, which elicits only the common antiviral gene program. We show that the inflammatory gene program depends on a second, potentiated phase in ISGF3 activation. Iterating between mathematical modeling and experimental analysis, we show that the ISGF3 activation network may engage a positive feedback loop with its subunits IRF9 and STAT2. This network motif mediates stimulus‐specific ISGF3 dynamics that are dependent on ligand, dose, and duration of exposure, and when engaged activates the inflammatory gene expression program. Our results reveal a previously underappreciated dynamical control of the JAK–STAT/IRF signaling network that may produce distinct biological responses and suggest that studies of type I IFN dysregulation, and in turn therapeutic remedies, may focus on feedback regulators within it.

Funder

National Institute of Allergy and Infectious Diseases

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

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