Background: As a result of technological and analytical advances, genome-wide characterization of key epigenetic alterations is now feasible in complex diseases. We hypothesized that this may provide important insights into gene-environmental interactions in Crohn's disease (CD) and is especially pertinent to early onset disease.
Methods: The Illumina 450K platform was applied to assess epigenome-wide methylation profiles in circulating leukocyte DNA in discovery and replication pediatric CD cohorts and controls. Data were corrected for differential leukocyte proportions. Targeted replication was performed in adults using pyrosequencing. Methylation changes were correlated with gene expression in blood and intestinal mucosa.
Results: We identified 65 individual CpG sites with methylation alterations achieving epigenome-wide significance after Bonferroni correction (P < 1.1 × 10(-7)), and 19 differently methylated regions displaying unidirectional methylation change. There was a highly significant enrichment of methylation changes around GWAS single nucleotide polymorphisms (P = 3.7 × 10(-7)), notably the HLA region and MIR21. Two-locus discriminant analysis in the discovery cohort predicted disease in the pediatric replication cohort with high accuracy (area under the curve, 0.98). The findings strongly implicate the transcriptional start site of MIR21 as a region of extended epigenetic alteration, containing the most significant individual probes (P = 1.97 × 10(-15)) within a GWAS risk locus. In extension studies, we confirmed hypomethylation of MIR21 in adults (P = 6.6 × 10(-5), n = 172) and show increased mRNA expression in leukocytes (P < 0.005, n = 66) and in the inflamed intestine (P = 1.4 × 10(-6), n = 99).
Conclusions: We demonstrate highly significant and replicable differences in DNA methylation in CD, defining the disease-associated epigenome. The data strongly implicate known GWAS loci, with compelling evidence implicating MIR21 and the HLA region.
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http://dx.doi.org/10.1097/MIB.0000000000000179 | DOI Listing |
Nan Fang Yi Ke Da Xue Xue Bao
December 2024
Department of Immunology, School of Laboratory Medicine, Bengbu Medical University, Bengbu 233030, China.
Objectives: To investigate the effects of asperosaponin VI (AVI) on intestinal epithelial cell apoptosis and intestinal barrier function in a mouse model of Crohn's disease (CD)-like colitis and explore its mechanisms.
Methods: Male C57BL/6 mice with TNBS-induced CD-like colitis were treated with saline or AVI (daily dose 150 mg/kg) by gavage for 6 days. The changes in body weight, colon length, DAI scores, and colon pathologies of the mice were observed, and the expressions of inflammatory factors and tight injunction proteins were detected using ELISA and RT-qPCR.
Gastroenterology
December 2024
Guangdong Provincial Key Laboratory of Gastroenterology Institute of Gastroenterology of Guangdong Province Department of Gastroenterology, Nanfang Hospital Southern Medical University, Guangzhou, China.
Dig Dis Sci
December 2024
OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Background And Aims: Observational healthcare data are an important tool for delineating patients' inflammatory bowel disease (IBD) journey in real-world settings. However, studies that characterize IBD cohorts typically rely on a single resource, apply diverse eligibility criteria, and extract variable sets of attributes, making comparison between cohorts challenging. We aim to longitudinally describe and compare IBD patient cohorts across multiple geographic regions, employing unified data and analysis framework.
View Article and Find Full Text PDFJ Am Med Inform Assoc
December 2024
Statistical Modeling, Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riβ 88400, Germany.
Background: Machine learning and deep learning are powerful tools for analyzing electronic health records (EHRs) in healthcare research. Although family health history has been recognized as a major predictor for a wide spectrum of diseases, research has so far adopted a limited view of family relations, essentially treating patients as independent samples in the analysis.
Methods: To address this gap, we present ALIGATEHR, which models inferred family relations in a graph attention network augmented with an attention-based medical ontology representation, thus accounting for the complex influence of genetics, shared environmental exposures, and disease dependencies.
Gastroenterol Rep (Oxf)
December 2024
[This corrects the article DOI: 10.1093/gastro/goad072.].
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