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Updated: Jun 23, 2025

Induction of Murine Intestinal Inflammation by Adoptive Transfer of Effector CD4+CD45RBhigh T Cells into Immunodeficient Mice
Published on: April 21, 2015
Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease
Christoph Kilian1, Hanna Ulrich1, Viktor A Zouboulis1
1I. Department of Medicine, University Medical Center Hamburg-Eppendorf (UKE), D-20246, Hamburg, Germany.
Mathematical modeling of immune cell dynamics using longitudinal single-cell data offers insights into inflammatory bowel disease (IBD). This approach predicts cellular turnover and identifies potential therapeutic targets like neutrophil depletion for IBD remission.
Area of Science:
- Immunology
- Computational Biology
- Systems Biology
Background:
- Single-cell technologies like flow cytometry and single-cell mRNA sequencing (scRNA-seq) provide detailed cellular and molecular profiles.
- These methods offer a snapshot in time, limiting the understanding of dynamic biological processes.
- Immune system dynamics are complex and crucial for understanding diseases like inflammatory bowel disease (IBD).
Purpose of the Study:
- To explore the utility of longitudinal single-cell data for deterministic ordinary differential equation (ODE)-based modeling of immune dynamics.
- To mechanistically describe immune cell population changes during IBD using mathematical modeling.
- To validate model predictions and assess translational relevance in human IBD patients.
Main Methods:
- Utilized longitudinal flow cytometry and scRNA-seq data from murine colitis models to derive ODE-based models of colonic cell type dynamics.
- Validated predicted cellular turnover rates using KI-67 staining and independent scRNA-seq gene expression data.
- Applied deconvolution of longitudinal bulk mRNA sequencing data from human IBD patients treated with olamkicept.
Main Results:
- Developed an ODE-based mathematical model that accurately described longitudinal changes in colonic cell numbers during murine colitis.
- The model demonstrated generalizability across different experimental protocols and techniques.
- Model parameter estimations for cellular turnover rates were validated, and neutrophil depletion was identified as a potential contributor to remission in human IBD patients.
Conclusions:
- Longitudinal single-cell data, when integrated with ODE-based modeling, can mechanistically elucidate immune dynamics.
- The developed mathematical model shows predictive power and potential for understanding immune responses in health and disease.
- This approach offers a promising avenue for identifying therapeutic strategies, such as targeting neutrophil populations, for IBD treatment.
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