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Myeloid Cell Adhesion Molecule 1 (CADM1) promotes pro-inflammatory signaling in human Inflammatory Bowel Diseases

ABSTRACT: Cytotoxic T cells have been postulated to facilitate the destruction of intestinal epithelium in inflammatory bowel diseases (IBDs). CADM1, which encodes a membrane adhesion protein that can bind the T cell receptor CRTAM, was markedly up regulated in colon of IBD patients compared to non-IBD (NIBD) patients. We then identified CADM1 enrichment in multiple immune cell clusters including macrophages and dendritic cells in the colons of IBD patients. Increased numbers of CADM1+ myeloid cells were measured adjacent to CD8+ T cells within colons of ulcerative colitis patients compared to NIBD patients. Conditional deletion of Cadm1 in myeloid cells resulted in reduced numbers of activated T cell populations and protected mice from chemical-induced colitis. Similarly, administration of a Cadm1 ‘neutralizing’ antibody which binds its extracellular domain reduced tissue inflammation and breakdown of the intestinal epithelium and crypts after induction of colitis in mice. Lastly, serum levels of sCADM1 were elevated in IBD patients compared to NIBD controls and treatment of LPMCs with recombinant sCADM1 enhanced inflammatory STAT3 phosphorylation. Therefore, we concluded that CADM1 is a mediator of pro-inflammatory signaling cascades in the colon and a potential therapeutic target for the IBDs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE304649 | GEO | 2025/10/11

REPOSITORIES: GEO

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Project description:Kilian2024 - Immune cell dynamics in Cue-Induced Extended Human Colitis Model Single-cell technologies such as scRNA-seq and flow cytometry provide critical insights into immune cell behavior in inflammatory bowel disease (IBD). However, integrating these datasets into computational models for dynamic analysis remains challenging. Here, Kilian et al., (2024) developed a deterministic ODE-based model that incorporates these technologies to study immune cell population changes in murine colitis. The model parameters were optimized to fit experimental data, ensuring an accurate representation of immune cell behavior over time. It was then validated by comparing simulations with experimental data using Pearson’s correlation and further tested on independent datasets to confirm its robustness. Additionally, the model was applied to clinical bulk RNA-seq data from human IBD patients, providing valuable insights into immune system dynamics and potential therapeutic strategies. Figure 4c, obtained from the simulation of human colitis model is highlighted here. This model is described in the article: Kilian, C., Ulrich, H., Zouboulis, V.A. et al. Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease. npj Syst Biol Appl 10, 69 (2024). https://doi.org/10.1038/s41540-024-00395-9 Abstract: Single-cell-based methods such as flow cytometry or single-cell mRNA sequencing (scRNA-seq) allow deep molecular and cellular profiling of immunological processes. Despite their high throughput, however, these measurements represent only a snapshot in time. Here, we explore how longitudinal single-cell-based datasets can be used for deterministic ordinary differential equation (ODE)-based modelling to mechanistically describe immune dynamics. We derived longitudinal changes in cell numbers of colonic cell types during inflammatory bowel disease (IBD) from flow cytometry and scRNA-seq data of murine colitis using ODE-based models. Our mathematical model generalised well across different protocols and experimental techniques, and we hypothesised that the estimated model parameters reflect biological processes. We validated this prediction of cellular turnover rates with KI-67 staining and with gene expression information from the scRNA-seq data not used for model fitting. Finally, we tested the translational relevance of the mathematical model by deconvolution of longitudinal bulk mRNA-sequencing data from a cohort of human IBD patients treated with olamkicept. We found that neutrophil depletion may contribute to IBD patients entering remission. The predictive power of IBD deterministic modelling highlights its potential to advance our understanding of immune dynamics in health and disease. This model was curated during the Hackathon hosted by BioMed X GmbH in 2024.

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Myeloid Cell Adhesion Molecule 1 (CADM1) promotes pro-inflammatory signaling in human Inflammatory Bowel Diseases

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