Amplification cycles through innate lymphoid cells at the onset of lupus nephritis

Disease progression in autoimmune conditions such as systemic lupus erythematosus (SLE) is highly heterogeneous, and the cellular and molecular mechanisms driving disease-onset dynamics remain incompletely understood. Here, based on single-cell transcriptomics data on lupus-prone NZB/W F1 mice, we derived a mathematical cell-cell interaction model recapitulating early dynamics of innate immune cells in lupus nephritis. We identified a diverse landscape of tissue-associated ILC and vessel-associated NK cell populations. We conceived a scalable mathematical framework for analysis of immune-cell interaction dynamics. A specific model formulation considers ILC as amplifiers of inflammatory processes in the presence of autoantibodies in lupus-prone individuals. Systematic model analyses highlight the impact of positive feedback loops and spontaneous inflammatory events or environmental stimuli, and the timing-dependent effectiveness of depletion therapies. Additionally, our model links the critical role of ILC populations to hallmarks of SLE such as highly heterogeneous disease dynamics. Overall, our findings lay the groundwork towards a mathematical model of immune-tissue cellular crosstalk, enabling quantification of disease severity and prediction of responses to biologic treatments in autoimmune diseases.

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Publication Details

Journal
Frontiers in Immunology
Published
2026-03-12
DOI
https://doi.org/10.3389/fimmu.2026.1756560
Primary Topic
IL-33, ST2, and ILC Pathways
Type
article
Field-Weighted Citation Impact
0.00

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article

Amplification cycles through innate lymphoid cells at the onset of lupus nephritis

Antigoni Triantafyllopoulou, Lisa Maria Steinheuer, Stylianos-Iason Biniaris-Georgallis, Bastian Grothey et al.
Frontiers in Immunology
IL-33, ST2, and ILC Pathways
article

Amplification cycles through innate lymphoid cells at the onset of lupus nephritis

Antigoni Triantafyllopoulou, Lisa Maria Steinheuer, Stylianos-Iason Biniaris-Georgallis, Bastian Grothey, K Thurley, Rosa L. Kreider
article en

Abstract

Disease progression in autoimmune conditions such as systemic lupus erythematosus (SLE) is highly heterogeneous, and the cellular and molecular mechanisms driving disease-onset dynamics remain incompletely understood. Here, based on single-cell transcriptomics data on lupus-prone NZB/W F1 mice, we derived a mathematical cell-cell interaction model recapitulating early dynamics of innate immune cells in lupus nephritis. We identified a diverse landscape of tissue-associated ILC and vessel-associated NK cell populations. We conceived a scalable mathematical framework for analysis of immune-cell interaction dynamics. A specific model formulation considers ILC as amplifiers of inflammatory processes in the presence of autoantibodies in lupus-prone individuals. Systematic model analyses highlight the impact of positive feedback loops and spontaneous inflammatory events or environmental stimuli, and the timing-dependent effectiveness of depletion therapies. Additionally, our model links the critical role of ILC populations to hallmarks of SLE such as highly heterogeneous disease dynamics. Overall, our findings lay the groundwork towards a mathematical model of immune-tissue cellular crosstalk, enabling quantification of disease severity and prediction of responses to biologic treatments in autoimmune diseases.

Frontiers in ImmunologyVol. 17
University of Bonn (DE), University Hospital Bonn (DE), German Rheumatism Research Centre (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Life & Brain (Germany) (DE), Charité - Universitätsmedizin Berlin (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 24%
IL-33, ST2, and ILC Pathways
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