Reveal the key mediators of inflammation in Crohn's disease undergoing biological treatments
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ABSTRACT: Crohn’s disease (CD) is a major subtype of life-long Inflammatory Bowel Disease (IBD) affecting a growing population in United States. To advance the knowledge in pathology, our study investigates into the common inflammatory feature in CD across different inflammation statuses by single-cell transcriptomics. First, we provided a detailed mucosal cellular landscape of terminal ileum (TI) and ascending colon (AC), with endoscopic diagnosis (CD inflamed, adjacent-to-inflamed, non-inflamed and non-IBD control), including a cohort of patients undergoing biological treatments. Differences between regions (TI and AC), and features of mucosal inflammation status in cellular composition are captured within the cellular landscapes. Second, we identified an inflammation cascade that include follicle-associated enterocytes and macrophages via molecules like CCL20 and S100As, as key mediators of CD inflammation. These key mediators serve as hubs in imputed cell-cell interactions under CD inflammation, expanding the interplay network with increasing disease severity. Finally, we demonstrate a scoring method by surveying the mucosa, using GWAS loci, and transcriptome features including differentially expressed genes (DEGs), and genes from a novel singular value decomposition (SVD)-based co-expression network analysis framework. Applying independently to the epithelial and immune lineage, we identify inflammation signatures that reflect disease severity. Furthermore, we report a short, robust list of epithelial and immune transcript makers whose expressions harmonize with endoscopic diagnosis and histological assessment. These markers are merely within known IBD GWAS loci. Collectively, this study narrates a shared inflammation pattern involving cells and cytokines for active CD and present a short list of markers for metrical inflammation assessment.
Project description:Microarrays were used to analyze the gene expression in endoscopic-derived intestinal mucosal biopsies from patients with inflammatory bowel disease (IBD) and controls Mucosal biopsies were obtained at endoscopy from the colon of 97 ulcerative colitis (UC), 8 Crohn's disease (CD) patients and 11 controls. The biopsies were taken at the most affected sites but at a distance of ulcerations. Disease activity was endoscopically assessed. Total RNA extracted from mucosal biopsies was used to analyze mRNA expression via Affymetrix Human Gene 1.0 ST arrays
Project description:We used microarrays to identify mucosal gene signatures predictive of response to infliximab (IFX) in patients with inflammatory bowel disease (IBD) and to gain more insight into the pathogenesis of IBD. Keywords: drug response and treatment effect Mucosal biopsies were obtained at endoscopy in actively inflamed mucosa from 61 IBD patients (24 ulcerative colitis (UC), 19 Crohnâs colitis (CDc) and 18 Crohnâs ileitis (CDi)), refractory to corticosteroids and/or immunosuppression, before and 4-6 weeks after (except for 1 CDc patient) their first infliximab infusion and in normal mucosa from 12 control patients (6 colon and 6 ileum). The patients were classified for response to infliximab based on endoscopic and histologic findings at 4-6 weeks after first infliximab treatment. Total RNA was isolated from intestinal mucosal biopsies, labelled and hybridized to Affymetrix Human Genome U133 Plus 2.0 Arrays.
Project description:Colon gene expression in human IBD. The three major clinical subsets of Inflammatory Bowel Disease (IBD) include colon-only Crohn's Disease (CD), ileo-colonic CD, and Ulcerative Colitis (UC). These experiments tested differential colon gene expression in these three types of IBD, relative to healthy control samples, and the local degree of mucosal inflammation as measured by the CD Histological Index of Severity (CDHIS). Colon biopsy samples were obtained from IBD patients at diagnosis and during therapy, and healthy controls. The global pattern of gene expression was determined using GeneSpring software, with a focus upon candidate genes identified in a recent genome wide association study in pediatric onset IBD. Data suggested that two of these candidate genes are up regulated in pediatric IBD, partially influenced by local mucosal inflammation. These experiments tested differential colon gene expression in healthy, CD, and UC samples for candidate genes identified in a recent pediatric onset IBD genome wide association study. Keywords: Single time point in CD and UC and healthy controls.
Project description:Colon gene expression in human IBD. The three major clinical subsets of Inflammatory Bowel Disease (IBD) include colon-only Crohn's Disease (CD), ileo-colonic CD, and Ulcerative Colitis (UC). These experiments tested differential colon gene expression in these three types of IBD, relative to healthy control samples, and the local degree of mucosal inflammation as measured by the CD Histological Index of Severity (CDHIS). Colon biopsy samples were obtained from IBD patients at diagnosis and during therapy, and healthy controls. The global pattern of gene expression was determined using GeneSpring software, with a focus upon candidate genes identified in a recent genome wide association study in pediatric onset IBD. Data suggested that two of these candidate genes are up regulated in pediatric IBD, partially influenced by local mucosal inflammation. These experiments tested differential colon gene expression in healthy, CD, and UC samples for candidate genes identified in a recent pediatric onset IBD genome wide association study. Keywords: Single time point in CD and UC and healthy controls. Colon RNA was isolated from biopsies obtained from CD and UC at diagnosis and during therapy and healthy controls. Samples were obtained from the most proximal affected segment of colon. Microarray experiments were performed as described in the CCHMC microarray core, and data was analyzed as described above in the summary. The '107' internal control CEL files (for batches 1,2,3,4,5) used for normalization of the Sample VALUEs are also contained within this data set.
Project description:Patient-derived intestinal organoids provide an excellent tool to unravel mechanisms underlying ulcerative colitis (UC). Fresh biopsies, to isolate crypts and culture organoids, were obtained from both inflamed and non-inflamed regions from eight patients with active UC (Mayo endoscopic subscore ≥2), and from eight non-IBD controls.To address the inflammatory character of ex vivo organoids, we compared the transcriptome of biopsies, crypts and organoids derived from inflamed, and non-inflamed regions and aimed to (re-)induce inflammation ex vivo.
Project description:Inflammatory bowel disease (IBD) is a complex multi-factorial inflammatory disease with Crohn’s disease (CD) and ulcerative colitis (UC) being the two most common forms. A number of transcriptional profiling studies have provided compelling evidence that describe the role of protein-coding genes and microRNAs in modulating the immune responses in IBD. In the present study, we performed a genome-wide transcriptome profiling of lncRNAs and protein-coding genes in inflamed and non-inflamed colon pinch biopsies from the IBD patients using expression microarrays platform. In this study, we identified widespread dysregulation of lncRNAs and protein-coding genes in both inflamed and non-inflamed CD and UC compared to the healthy controls. In case of inflamed CD and UC (iCD and iUC), we identified 438 and 745 differentially expressed lncRNAs, respectively, while in case of the non-inflamed CD and UC (niCD and niUC), we identified 12 and 19 differentially expressed lncRNAs, respectively. We also observed significant enrichment (p-value < 0.001, Pearson’s Chi-squared test) for 96 differentially expressed lncRNAs and 154 protein-coding genes within the IBD susceptibility loci. Furthermore, we found strong positive expression correlations for the intersecting and cis-neighboring differentially expressed IBD loci-associated lncRNA-protein-coding gene pairs. The functional annotation analysis of differentially expressed genes revealed that they are involved in immune response, pro-inflammatory cytokine activity and MHC protein complex. The lncRNA expression profiling in both inflamed and non-inflamed CD and UC, successfully stratified IBD patients from the healthy controls. Taken together, the identified lncRNA transcriptional signature along with clinically relevant parameters suggests their potential as biomarkers in IBD. A total of 96 biopsy samples (including 6 samples used as technical replicates) extracted from different colonic locations from 45 patients (CD=13, UC=20, Controls=12) were profiled using Agilent Custom 8x60K format lncRNA expression microarray. In Gencode v15 lncRNA microarray design, each lncRNA transcript is targeted by two probes covering 22,001 lncRNA transcripts corresponding to 12,963 lncRNA genes. In addition, each array contains 17,535 randomly-selected protein-coding targets, of which 15,182 (unique 12,787) correspond to protein-coding genes.
Project description:Biopsies from six individuals of each of the categories active CD (CDA), inactive CD (CD) and healthy controls (N) were analyzed for gene expression using microarray. The biopsies were obtained by ileo-colonoscopy and snap-frozen in nitrogen before RNA-isolation. A gastrointestinal pathologist classified the biopsies into normal, chronic active or chronic inactive inflammation based on Hematoxylin-Eosin stain of tissue sections from adjacent biopsies. Samples with discrepancy between endoscopic and histologic diagnoses were excluded from the final analysis, and uploaded with "NaN". The patients with chronic inactive inflammation all previously had verified CD of the terminal ileum. Patients coming to endoscopy for other reasons than IBD and with normal endoscopic and histological findings served as controls.
Project description:Microarrays were used to analyze the gene expression in endoscopic-derived intestinal mucosal biopsies from patients with inflammatory bowel disease (IBD) and controls
Project description:We sought to identify proteins that enable differentiation between CD and UC in children with new onset IBD. Mucosal biopsies were obtained from children undergoing baseline diagnostic endoscopy prior to therapeutic interventions. Using a super-stable isotope labeling with amino acids in cell culture (SILAC)-based approach, the proteomes of 99 paediatric control and biopsies of patients with CD and UC were compared. Multivariate analysis of a subset of these (n=50) was applied to identify novel biomarkers, which were validated in a second subset (n=49). In the discovery cohort, a panel of five proteins was sufficient to distinguish control from IBD-affected tissue biopsies with an AUC of 1.0 (95% CI 0.99 to 1.0); a second panel of 12 proteins segregated inflamed CD from UC within an AUC of 0.95 (95% CI 0.86 to 1.0). Application of the two panels to the validation cohort resulted in accurate classification of 95.9% (IBD from control) and 80% (CD from UC) of patients. 116 proteins were identified to have correlation with the severity of disease, four of which were components of the two panels, including visfatin and metallothionein-2. This study has identified two panels of candidate biomarkers for the diagnosis of IBD and the differentiation of IBD subtypes to guide appropriate therapeutic interventions in paediatric patients.
Project description:Inflammatory bowel disease (IBD) is a complex multi-factorial inflammatory disease with Crohn’s disease (CD) and ulcerative colitis (UC) being the two most common forms. A number of transcriptional profiling studies have provided compelling evidence that describe the role of protein-coding genes and microRNAs in modulating the immune responses in IBD. In the present study, we performed a genome-wide transcriptome profiling of lncRNAs and protein-coding genes in inflamed and non-inflamed colon pinch biopsies from the IBD patients using expression microarrays platform. In this study, we identified widespread dysregulation of lncRNAs and protein-coding genes in both inflamed and non-inflamed CD and UC compared to the healthy controls. In case of inflamed CD and UC (iCD and iUC), we identified 438 and 745 differentially expressed lncRNAs, respectively, while in case of the non-inflamed CD and UC (niCD and niUC), we identified 12 and 19 differentially expressed lncRNAs, respectively. We also observed significant enrichment (p-value < 0.001, Pearson’s Chi-squared test) for 96 differentially expressed lncRNAs and 154 protein-coding genes within the IBD susceptibility loci. Furthermore, we found strong positive expression correlations for the intersecting and cis-neighboring differentially expressed IBD loci-associated lncRNA-protein-coding gene pairs. The functional annotation analysis of differentially expressed genes revealed that they are involved in immune response, pro-inflammatory cytokine activity and MHC protein complex. The lncRNA expression profiling in both inflamed and non-inflamed CD and UC, successfully stratified IBD patients from the healthy controls. Taken together, the identified lncRNA transcriptional signature along with clinically relevant parameters suggests their potential as biomarkers in IBD.