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Related Concept Videos

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Various diagnostic tests are employed in the diagnostic process for Inflammatory Bowel Disease (IBD), particularly to differentiate between Crohn's disease and ulcerative colitis.
Diagnostic studies
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Introduction
Inflammatory bowel disease, commonly known as IBD, refers to a collection of disorders that lead to persistent inflammation of the gastrointestinal tract. The two types of IBD are ulcerative colitis, which impacts the colon, and Crohn's disease, which can involve any part of the gastrointestinal segment.
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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.

NPJ Systems Biology and Applications
|June 24, 2024
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Summary

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.

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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.