OP27 High-dimensional mass cytometry reveals the immune cell landscape in inflammatory bowel disease. (25th January 2019)

• Record Type: Journal Article
• Authors: van Unen, V; Li, N; Abdelaal, T; Kooy-Winkelaar, Y; Ouboter, L; Beyrend, G; Höllt, T; Mearin, L; Witte, A; Escher, H; Lelieveldt, B; van der Meulen - de Jong, A; Koning, F
• Is Part Of: Journal of Crohn's and colitis. Volume 13(2019)Supplement 1
• Page Start: S020
• Page End: S020
• Publication Date: 2019-01-25
• Subjects: Inflammatory bowel diseases -- Periodicals; 616.344005
• DOI: 10.1093/ecco-jcc/jjy222.026
• Languages: English
• ISSNs: 1873-9946

Abstract

Abstract: Background: Inflammatory bowel disease (IBD) is characterised by chronic inflammation of the intestine. Studies on individual immune lineages have shown alterations in the innate and adaptive intestinal immune system implicated in IBD. However, a comprehensive analysis of the cell composition in intestinal biopsies from IBD patients across all major immune lineages simultaneously was lacking. Methods: In patients aged 10–40 years with a clinical suspicion of IBD, we took paired biopsies ( N = 104) from ileum and colon (both inflamed and uninflamed mucosa if available) and blood samples in 23 IBD patients and in 15 controls with a normal colonoscopy. Single-cell suspensions were stained with a 36-antibody panel and analysed with mass cytometry. The generated dataset was analysed with Hierarchical t-SNE (HSNE) in the Cytosplore analysis and visualisation tool. Results: In total, we identified 309 distinct cell clusters from the collective intestinal dataset containing 3.4 million cells in a data-driven manner. Here, controls clustered separate from patients, ileum samples separate from colon samples, and affected segments separate from unaffected segments (Figure 1A). However, affected samples from the different subgroups of IBD (Crohn's disease, ulcerative colitis, undeterminate colitis) were mostly intermixed, suggesting similarities in the immune profiles. Moreover, we observed a large interindividual variation in the immune cell composition, indicative of unique individual 'immune fingerprints' in the intestinal tract. In addition, 19 subsets were significantly different between affected-IBD samples and unaffected-IBD samples/controls. Finally, in a correlation analysis, several CD4+ T-cell clusters correlated with ILC and myeloid cell clusters and were up-regulated in IBD-affected segments (Figure 1B, top-left network), while in particular TCRgd cell clusters (Figure 1B, top-right network) and a group of ILC clusters (Figure 1B, bottom network) were up-regulated in unaffected samples of patients and controls. Conclusions: Our study provides evidence that a coordinated cellular network of both innate and adaptive immune cell types are implicated in IBD. Together with the evidence for the unique individual-specific composition of the intestinal immune system, this may aid in the development of more (cost-)effective and personalised patient care.