Journal of Crohn's & colitis · 2025
Spatial transcriptomics reveals unique inflammatory signatures across all anatomic locations in postoperative Crohn's disease.
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Battat Robert, Sangiorgi Bruno, Linggi Bryan, Gui Xianyong, Smith Michelle I, Mehandru Saurabh, Longman Randy, Lukin Dana J, Scherl Ellen J, Qin Lihui, Ma Christopher, Teft Wendy, Vande Casteele Niels
Аннотация
BACKGROUND AND AIMS: Most patients with Crohn's disease (CD) who have undergone ileocolonic resection experience recurrent inflammation within 1 year after surgery. We examined the molecular basis underlying gastrointestinal inflammation in postoperative CD across 3 common anatomic locations of recurrence.
METHODS: To characterize spatial transcriptomic signatures, this study utilized biopsies from the colon, neo-terminal ileum, and anastomosis of patients with postoperative CD in the PREDICT-OR study. Sample analyses were performed with 10X Genomics Visium CytAssist system V2.0, and data analyses with R.
RESULTS: Histologically inflamed biopsies from all locations shared transcriptional signatures across 3 cellular niches (myeloid, B, T cells) and a specialized epithelial cell type expressing inflammation-associated genes. Differentially expressed genes overexpressed inflammatory pathway activity across the 3 locations, whereas hypoxic pathways were less apparent. In addition to genes for known treatment targets, epidermal growth factor receptor and mitogen-activated protein kinase pathways were upregulated. Cellular niches shaped inflammatory microenvironments through endoplasmic reticulum stress and extracellular matrix remodeling signaling.
CONCLUSIONS: Application of spatial transcriptomics revealed a common disease signature for postoperative CD across the colon, neo-terminal ileum, and anastomosis. Inflamed biopsies from all locations demonstrated similar immune cell and inflammatory gene expression patterns as opposed to hypoxic pathways, and unique inflammatory pathways were revealed.
METHODS: To characterize spatial transcriptomic signatures, this study utilized biopsies from the colon, neo-terminal ileum, and anastomosis of patients with postoperative CD in the PREDICT-OR study. Sample analyses were performed with 10X Genomics Visium CytAssist system V2.0, and data analyses with R.
RESULTS: Histologically inflamed biopsies from all locations shared transcriptional signatures across 3 cellular niches (myeloid, B, T cells) and a specialized epithelial cell type expressing inflammation-associated genes. Differentially expressed genes overexpressed inflammatory pathway activity across the 3 locations, whereas hypoxic pathways were less apparent. In addition to genes for known treatment targets, epidermal growth factor receptor and mitogen-activated protein kinase pathways were upregulated. Cellular niches shaped inflammatory microenvironments through endoplasmic reticulum stress and extracellular matrix remodeling signaling.
CONCLUSIONS: Application of spatial transcriptomics revealed a common disease signature for postoperative CD across the colon, neo-terminal ileum, and anastomosis. Inflamed biopsies from all locations demonstrated similar immune cell and inflammatory gene expression patterns as opposed to hypoxic pathways, and unique inflammatory pathways were revealed.