Multiscale Kinetic Model for Immune Reaction in Coeliac Disease

This paper presents a multiscale model that captures the complex dynamics of coeliac disease, a chronic T-cell-mediated autoimmune disorder triggered by gluten ingestion in genetically susceptible individuals. Grounded in the mathematical kinetic theory of active particles, the model captures the intricate dynamics of the immunological cascade that leads to small intestinal damage, involving complex interactions across molecular, cellular, and tissue scales. This approach explicitly models the different functional subsystems involved and examines the role of molecular messengers in shaping these dynamics, focusing on gluten recognition and immune system activation. Simulations demonstrate that the model can reproduce significant clinical and biological observations of coeliac disease, suggesting its potential to inform therapeutic strategies.

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Publication Details

Journal
Mathematics
Published
2026-04-16
DOI
https://doi.org/10.3390/math14081333
Primary Topic
Celiac Disease Research and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Multiscale Kinetic Model for Immune Reaction in Coeliac Disease

Damián Knopoff, Diletta Burini, Lídia Serrano
Mathematics
Celiac Disease Research and Management
article

Multiscale Kinetic Model for Immune Reaction in Coeliac Disease

Damián Knopoff, Diletta Burini, Lídia Serrano
article en

Abstract

This paper presents a multiscale model that captures the complex dynamics of coeliac disease, a chronic T-cell-mediated autoimmune disorder triggered by gluten ingestion in genetically susceptible individuals. Grounded in the mathematical kinetic theory of active particles, the model captures the intricate dynamics of the immunological cascade that leads to small intestinal damage, involving complex interactions across molecular, cellular, and tissue scales. This approach explicitly models the different functional subsystems involved and examines the role of molecular messengers in shaping these dynamics, focusing on gluten recognition and immune system activation. Simulations demonstrate that the model can reproduce significant clinical and biological observations of coeliac disease, suggesting its potential to inform therapeutic strategies.

MathematicsVol. 14(8)
Universidad de Deusto (ES), University of Perugia (IT)
Ministerio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación
Openalex Percentile: Top 39%
Celiac Disease Research and Management
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