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dc.contributor.authorWacker, Eike Matthias
dc.contributor.authorUellendahl-Werth, Florian
dc.contributor.authorBej, Saptarshi
dc.contributor.authorWolkenhauer, Olaf
dc.contributor.authorVesterhus, Mette Nåmdal
dc.contributor.authorLieb, Wolfgang
dc.contributor.authorFranke, Andre
dc.contributor.authorKarlsen, Tom Hemming
dc.contributor.authorFolseraas, Trine
dc.contributor.authorEllinghaus, David
dc.date.accessioned2024-09-11T13:49:46Z
dc.date.available2024-09-11T13:49:46Z
dc.date.created2024-02-14T13:02:49Z
dc.date.issued2024
dc.identifier.issn2589-5559
dc.identifier.urihttps://hdl.handle.net/11250/3151476
dc.description.abstractBackground & Aims: Genetic and microbiome studies across patients with primary sclerosing cholangitis (PSC) and ulcerative colitis (UC) have indicated that UC in PSC is a separate disease entity to primary UC, but expression studies for PSC are lacking. Methods: We conducted whole blood RNA sequencing experiments for 495 patients with UC, 220 patients with PSC (including 177 with UC), 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 (e.g. S100A12). In UC, but not in PSC (neither PSC alone nor patients with an additional diagnosis of UC [PSC/UC]), ribosomal, mitochondrial, and energy metabolism genes are upregulated in conjunction with antibody transcript expression (MZB1, IGJ). 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 relevant for distinguishing PSC, UC, and controls are enriched in neutrophil degranulation and antibody production genes. Conclusions: Supported by machine learning results, PSC and UC appear to be separate entities on a molecular level, while PSC/UC and PSC are indistinguishable. Impact and implications: Clinical and genetic studies suggest that the colitis-like symptoms in primary sclerosing cholangitis (PSC) represent a different disease entity from primary ulcerative colitis (UC). The present study supports this assumption with transcriptomic data from whole blood and describes notable differences in gene expression between primary UC and PSC, providing insights into the still unclear pathophysiology of both diseases. These findings are of interest to scientists seeking to decipher the molecular pathophysiology of both diseases and provide evidence that a redefinition of the PSC-UC phenotype should be considered. The study practically supports future molecular research by providing a large transcriptomic whole blood reference cohort.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleWhole blood RNA sequencing identifies transcriptional differences between primary sclerosing cholangitis and ulcerative colitisen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2024 the authorsen_US
dc.source.articlenumber100988en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1016/j.jhepr.2023.100988
dc.identifier.cristin2245954
dc.source.journalJHEP Reportsen_US
dc.identifier.citationJHEP Reports. 2024, 6 (2), 100988.en_US
dc.source.volume6en_US
dc.source.issue2en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal