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Mucosal expression of PI3, ANXA1, and VDR discriminates Crohn’s disease from ulcerative colitis

Differential diagnosis of inflammatory bowel disease (IBD) to Crohn’s disease (CD) or ulcerative colitis (UC) is crucial for treatment decision making. With the aim of generating a clinically applicable molecular-based tool to classify IBD patients, we assessed whole transcriptome analysis on endosc...

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Detalles Bibliográficos
Autores principales: James, Jaslin Pallikkunnath, Nielsen, Boye Schnack, Christensen, Ib Jarle, Langholz, Ebbe, Malham, Mikkel, Poulsen, Tim Svenstrup, Holmstrøm, Kim, Riis, Lene Buhl, Høgdall, Estrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611705/
https://www.ncbi.nlm.nih.gov/pubmed/37891214
http://dx.doi.org/10.1038/s41598-023-45569-3
Descripción
Sumario:Differential diagnosis of inflammatory bowel disease (IBD) to Crohn’s disease (CD) or ulcerative colitis (UC) is crucial for treatment decision making. With the aim of generating a clinically applicable molecular-based tool to classify IBD patients, we assessed whole transcriptome analysis on endoscopy samples. A total of 408 patient samples were included covering both internal and external samples cohorts. Whole transcriptome analysis was performed on an internal cohort of FFPE IBD samples (CD, n = 16 and UC, n = 17). The 100 most significantly differentially expressed genes (DEG) were tested in two external cohorts. Ten of the DEG were further processed by functional enrichment analysis from which seven were found to show consistent significant performance in discriminating CD from UC: PI3, ANXA1, VDR, MTCL1, SH3PXD2A-AS1, CLCF1, and CD180. Differential expression of PI3, ANXA1, and VDR was reproduced by RT-qPCR, which was performed on an independent sample cohort of 97 patient samples (CD, n = 44 and UC, n = 53). Gene expression levels of the three-gene profile, resulted in an area under the curve of 0.84 (P = 0.02) in discriminating CD from UC, and therefore appear as an attractive molecular-based diagnostic tool for clinicians to distinguish CD from UC.