Concordance between gene expression in peripheral whole blood and colonic tissue in children with inflammatory bowel disease.

Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America. Division of Gastroenterology and Nutrition, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America. Center for Evidence Based Imaging, Brigham and Women's Hospital, Harvard Medical School, Massachusetts, United States of America. Division of Genetics and Genomics, Boston Children's Hospital, Departments of Genetics and Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America. Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.

PloS one. 2019;(10):e0222952

Abstract

BACKGROUND Presenting features of inflammatory bowel disease (IBD) are non-specific. We hypothesized that mRNA profiles could (1) identify genes and pathways involved in disease pathogenesis; (2) identify a molecular signature that differentiates IBD from other conditions; (3) provide insight into systemic and colon-specific dysregulation through study of the concordance of the gene expression. METHODS Children (8-18 years) were prospectively recruited at the time of diagnostic colonoscopy for possible IBD. We used transcriptome-wide mRNA profiling to study gene expression in colon biopsies and paired whole blood samples. Using blood mRNA measurements, we fit a regression model for disease state prediction that was validated in an independent test set of adult subjects (GSE3365). RESULTS Ninety-eight children were recruited [39 Crohn's disease, 18 ulcerative colitis, 2 IBDU, 39 non-IBD]. There were 1,118 significantly differentially (IBD vs non-IBD) expressed genes in colon tissue, and 880 in blood. The direction of relative change in expression was concordant for 106/112 genes differentially expressed in both tissue types. The regression model from the blood mRNA measurements distinguished IBD vs non-IBD disease status in the independent test set with 80% accuracy using only 6 genes. The overlap of 5 immune and metabolic pathways in the two tissue types was significant (p<0.001). CONCLUSIONS Blood and colon tissue from patients with IBD share a common transcriptional profile dominated by immune and metabolic pathways. Our results suggest that peripheral blood expression levels of as few as 6 genes (IL7R, UBB, TXNIP, S100A8, ALAS2, and SLC2A3) may distinguish patients with IBD from non-IBD.

Methodological quality

Publication Type : Observational Study

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