Dataset Information

Genome-Wide Transcriptomic Analysis of Intestinal Mucosa in Celiac Disease Patients on a Gluten-Free Diet and Postgluten Challenge.

ABSTRACT: BACKGROUND & AIMS:Gluten challenge studies are instrumental in understanding the pathophysiology of celiac disease. Our aims in this study were to reveal early gluten-induced transcriptomic changes in duodenal biopsies and to find tools for clinics. METHODS:Duodenal biopsies were collected from 15 celiac disease patients on a strict long-term gluten-free diet (GFD) prior to and post a gluten challenge (PGC) and from 6 healthy control individuals (DC). Biopsy RNA was subjected to genome-wide 3' RNA-Seq. Sequencing data was used to determine the differences between the three groups and was compared to sequencing data from the public repositories. The biopsies underwent morphometric analyses. RESULTS:In DC vs. GFD group comparisons, 167 differentially expressed genes were identified with 117 genes downregulated and 50 genes upregulated. In PGC vs. GFD group comparisons, 417 differentially expressed genes were identified with 195 genes downregulated and 222 genes upregulated. Celiac disease patients on a GFD were not "healthy". In particular, genes encoding proteins for transporting small molecules were expressed less. In addition to the activation of immune response genes, a gluten challenge induced hyperactive intestinal wnt-signaling and consequent immature crypt gene expression resulting in less differentiated epithelium. Biopsy gene expression in response to a gluten challenge correlated with the extent of the histological damage. Regression models using only four gene transcripts described 97.2% of the mucosal morphology and 98.0% of the inflammatory changes observed. CONCLUSIONS:Our gluten challenge trial design provided an opportunity to study the transition from health to disease. The results show that even on a strict GFD, despite being deemed healthy, patients reveal patterns of ongoing disease. Here, a transcriptomic regression model estimating the extent of gluten-induced duodenal mucosal injury is presented.

SUBMITTER: Dotsenko V

PROVIDER: S-EPMC7593586 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Genome-Wide Transcriptomic Analysis of Intestinal Mucosa in Celiac Disease Patients on a Gluten-Free Diet and Postgluten Challenge.

Dotsenko Valeriia V Oittinen Mikko M Taavela Juha J Popp Alina A Peräaho Markku M Staff Synnöve S Sarin Jani J Leon Francisco F Isola Jorma J Mäki Markku M Viiri Keijo K

Cellular and molecular gastroenterology and hepatology 20200731 1

<h4>Background & aims</h4>Gluten challenge studies are instrumental in understanding the pathophysiology of celiac disease. Our aims in this study were to reveal early gluten-induced transcriptomic changes in duodenal biopsies and to find tools for clinics.<h4>Methods</h4>Duodenal biopsies were collected from 15 celiac disease patients on a strict long-term gluten-free diet (GFD) prior to and post a gluten challenge (PGC) and from 6 healthy control individuals (DC). Biopsy RNA was subjected to g ...[more]

PMID: 32745639

Similar Datasets

Project description:Background & Aims: Traditional celiac disease diagnostics based on histomorphometric evaluations are liable to misinterpretations due to the common technical flaws e.g. wrong orientation of the biopsy and subjective errors are relatively common e.g. interobserver errors. We envisioned that there is a need for molecular histomorphometric tool that obviates these error sources yielding an objective ratio instead. Gene expression determine the state of a tissue, so the changes in expression may be associated with the severity of lesions during CD and can be used to classify it. Methods: 15 CD patients, who have been at least one year on gluten-free diet, were enrolled. All participants were biopsied before and after the gluten challenge (10 weeks, 4 grams of gluten daily). 6 healthy non-CD individuals were included as controls. Biopsies were taken on PAXgene biological fixative and embedded in paraffin and Vh/Cd ratio was assessed. RNA was extracted from the same sections and subjected to genome-wide 3’RNA-sequencing. Sequencing data was used to determine differentially expressed genes and regression model, that successfully describes the mucosal damage, was created and tested in independent material. Results: 167 differentially expressed genes were identified in healthy vs. treated CD comparisons with 117 genes downregulated and 50 genes upregulated. 415 differentially expressed genes were identified in Post gluten challenge to Treated CD comparisons with 195 genes downregulated and 220 genes upregulated. 119 genes whose expression highly correlates to Vh/Cd ratio (Spearman’s rank correlation coefficient, |rho|>0.7) were identified. Gene ontology analyses show that genes involved in cellular response to cytokines, including interferons, were over-represented. Stepwise regression allowed us computationally cut down the number of genes, that describe Vh/Cd ratio changes, to 7 and IELs number to 5. Created models describe 98.9% of observed Vh/Cd and 97.5% of IELs number variabilities; there is a strong correlation between the model’s predicted and observed ratios. Conclusions: Adoption of molecular histomorphometry, with our selected set of target genes, is quantitative and reliable way of estimating gluten-induced mucosal injury and inflammation. By including this technology one can overcome the typical shortcomings common in celiac disease diagnostics based on traditional histomorphometry analyses alone. Likewise, molecular histomorphometry is a promising instrument when incorporated in clinical trials where assessing drug efficacy on mucosal health is paramount. In addition, despite deemed healthy, based on traditional histomorphometric analyses, celiac patients on gluten free diet have significantly distinctive molecular histomorphometric pattern when compared to healthy controls.

Dataset Information

Genome-Wide Transcriptomic Analysis of Intestinal Mucosa in Celiac Disease Patients on a Gluten-Free Diet and Postgluten Challenge.

Publications

Genome-Wide Transcriptomic Analysis of Intestinal Mucosa in Celiac Disease Patients on a Gluten-Free Diet and Postgluten Challenge.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets