Dataset Information

Antigen-driven colonic inflammation is associated with development of dysplasia in primary sclerosing cholangitis [scData]

ABSTRACT: Primary sclerosing cholangitis (PSC) is an autoimmune-like disease of the bile ducts that co-occurs with inflammatory bowel disease (IBD) in almost 90% of cases. Colorectal cancer is a major complication of patients with both PSC and IBD, and these patients are at a much greater risk compared to patients with IBD without concomitant PSC. Combining flow cytometry, bulk and single cell transcriptomics, and T- and B-cell receptor repertoire analysis of right colon tissue from PSC, IBD, and healthy controls we identified a unique adaptive inflammatory transcriptional signature associated with greater risk and shorter time to dysplasia specifically in patients with PSC. This inflammatory signature is characterized by antigen-driven IL-17A+ Foxp3+ CD4 T-cell and an expansion of IgG-secreting B-cell responses. These data results suggest that the mechanisms that drive the emergence of dysplasia in of PSC and IBD dysplasia are distinct and provide molecular insights to guide prevention of colorectal cancer in PSC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE230568 | GEO | 2023/04/30

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: Patients suffering from primary sclerosing cholangitis (PSC) often also have ulcerative colitis (UC). Cross-disease genetic and microbiome studies across PSC und UC patients indicated that UC in PSC is a separate disease entity from primary UC, but expression studies for PSC are lacking. In this study, we performed a molecular comparison of whole blood expression levels in PSC only, PSC patients with additional UC diagnosis (PSC/UC), and UC, using a large collection of whole blood transcriptome data. Methods: We conducted whole blood RNA-Seq experiments for 495 UC patients, 220 PSC patients (of whom 177 have also a UC diagnosis), and 320 healthy controls from Germany and Norway. Differential expression analyses, gene ontology and coexpression analyses and random forest machine learning were performed to identify genes, ontologies and transcriptional features that discriminate diagnoses. Results: The blood transcriptome in UC and PSC is dominated by neutrophil activation genes. In UC, but not in PSC (neither PSC alone nor PSC/UC), there is upregulation of genes for ribosomes, mitochondria and energy metabolism genes in conjunction with antibody transcript expression. In PSC, there is an increase in modules related to apoptosis and expression of genes of interferon-I-related ontologies. Random forest analysis could poorly discriminate PSC alone from PSC/UC (AUROC 0.56), but could discriminate PSC, UC, and controls with high accuracy (AUROC UC vs controls 0.95, PSC vs controls 0.88, UC vs PSC 0.986). The main coexpression modules are enriched in neutrophil degranulation and antibody production genes relevant for distinguishing PSC, UC, and controls. Conclusions: PSC and UC share neutrophil-related transcriptional upregulation in whole blood (e.g. S100A12). UC is characterised by upregulation of modules involved in antibody production (MZB1, IGJ) and increased metabolic activity (PDK4, ribosomal genes), while PSC differs from UC by interferon (IFIT1) and apoptosis upregulation (G0S2). Supported by machine learning results, PSC and UC are interpreted as molecularly separate entities, while PSC/UC and PSC are indistinguishable.

Dataset Information

Antigen-driven colonic inflammation is associated with development of dysplasia in primary sclerosing cholangitis [scData]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets