ArticleScientific reports2023
Mucosal expression of PI3, ANXA1, and VDR discriminates Crohn's disease from ulcerative colitis.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Aimed at Subtype Discrimination but Yielding a Shared Marker: Integrative Analysis of Blood Transcriptomes Reveals UpregulatedClinical and experimental gastroenterology · 2026Article
- Exploring the therapeutic potential of annexin A1-derived peptide AcMolecular and cellular biochemistry · 2025Article
- Gene expression regulation and polyadenylation in ulcerative colitis via long-chain RNA sequencing.BMC genomics · 2025Article
- Annexin A1 and A2 in inflammatory bowel disease pathogenesis: exploring new avenues for diagnosis and treatment.Frontiers in immunology · 2025Review
- Revealing Fibrosis Genes as Biomarkers of Ulcerative Colitis: A Bioinformatics Study Based on ScRNA and Bulk RNA Datasets.Endocrine, metabolic & immune disorders drug targets · 2025Article
- Artificial intelligence in inflammatory bowel disease: innovations in diagnosis, monitoring, and personalized care.Therapeutic advances in gastroenterology · 2025Review
- PI3 as a Common Hub Gene Linking Atopic Dermatitis and Ulcerative Colitis Through Immune Cell Recruitment Mechanisms.Journal of inflammation research · 2025Article
- Proof of Concept Study: Comparison of Semi-Automated RNA Isolation Methods from Archived Formalin-Fixed, Paraffin-Embedded Tissues with Clinical Routine RNA Isolation Methods.Methods and protocols · 2024Article
- Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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