EGAS00001000513-sc-20150331 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001001316 | EGA |
REPOSITORIES: EGA
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Project description:Exome sequence analysis of individuals with severe early onset inflammatory bowel disease, and their families. Individuals are ascertained through the COLORS in IBD study, which includes centres throughout UK and Europe.
| EGAS00001000513 | EGA
Project description:Abstract: Inflammatory bowel disease (IBD) is a chronic inflammatory condition driven by diverse genetic and nongenetic programs that converge to disrupt immune homeostasis in the intestine. We have reported that, in murine intestinal epithelium with telomere dysfunction, DNA damage-induced activation of ataxia-telangiectasia mutated (ATM) results in ATM-mediated phosphorylation and activation of the YAP1 transcriptional coactivator, which in turn up-regulates pro-IL-18, a pivotal immune regulator in IBD pathogenesis. Moreover, individuals with germline defects in telomere maintenance genes experience increased occurrence of intestinal inflammation and show activation of the ATM/YAP1/pro-IL-18 pathway in the intestinal epithelium. Here, we sought to determine the relevance of the ATM/YAP1/pro-IL-18 pathway as a potential driver of IBD, particularly older-onset IBD. Analysis of intestinal biopsy specimens and organoids from older-onset IBD patients documented the presence of telomere dysfunction and activation of the ATM/YAP1/ precursor of interleukin 18 (pro-IL-18) pathway in the intestinal epithelium. Employing intestinal organoids from healthy individuals, we demonstrated that experimental induction of telomere dysfunction activates this inflammatory pathway.
2021-10-30 | GSE182424 | GEO
Project description:Kilian2024 - Immune cell dynamics in Cue-Induced Extended Human Colitis Model
Single-cell technologies such as scRNA-seq and flow cytometry provide critical insights into immune cell behavior in inflammatory bowel disease (IBD). However, integrating these datasets into computational models for dynamic analysis remains challenging. Here, Kilian et al., (2024) developed a deterministic ODE-based model that incorporates these technologies to study immune cell population changes in murine colitis. The model parameters were optimized to fit experimental data, ensuring an accurate representation of immune cell behavior over time. It was then validated by comparing simulations with experimental data using Pearson’s correlation and further tested on independent datasets to confirm its robustness. Additionally, the model was applied to clinical bulk RNA-seq data from human IBD patients, providing valuable insights into immune system dynamics and potential therapeutic strategies.
Figure 4c, obtained from the simulation of human colitis model is highlighted here.
This model is described in the article:
Kilian, C., Ulrich, H., Zouboulis, V.A. et al. Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease. npj Syst Biol Appl 10, 69 (2024). https://doi.org/10.1038/s41540-024-00395-9
Abstract:
Single-cell-based methods such as flow cytometry or single-cell mRNA sequencing (scRNA-seq) allow deep molecular and cellular profiling of immunological processes. Despite their high throughput, however, these measurements represent only a snapshot in time. Here, we explore how longitudinal single-cell-based datasets can be used for deterministic ordinary differential equation (ODE)-based modelling to mechanistically describe immune dynamics. We derived longitudinal changes in cell numbers of colonic cell types during inflammatory bowel disease (IBD) from flow cytometry and scRNA-seq data of murine colitis using ODE-based models. Our mathematical model generalised well across different protocols and experimental techniques, and we hypothesised that the estimated model parameters reflect biological processes. We validated this prediction of cellular turnover rates with KI-67 staining and with gene expression information from the scRNA-seq data not used for model fitting. Finally, we tested the translational relevance of the mathematical model by deconvolution of longitudinal bulk mRNA-sequencing data from a cohort of human IBD patients treated with olamkicept. We found that neutrophil depletion may contribute to IBD patients entering remission. The predictive power of IBD deterministic modelling highlights its potential to advance our understanding of immune dynamics in health and disease.
This model was curated during the Hackathon hosted by BioMed X GmbH in 2024.
2025-03-07 | MODEL2502180001 | BioModels
Project description:Aim of this study was to explore the effect of 12-week pomegranate-juice consumption on the global transcriptional profile in individuals with inflammatory bowel disease (IBD) in clinical remission.
2025-05-05 | GSE242140 | GEO
Project description:Colon cancer (CRC) and chronic inflammatory bowel disease (IBD) are two common gastrointestinal diseases that have a high impact on the quality of life of the affected individuals and their families as well as on the society. The aim of the present study was to contribute to the understanding of the underlying biological mechanisms of how abcb1 affects the development of colitis and potential environmental interactions. Additionally, we want to form a basis for future studies using the abcb1/mdr1a knockout model. Therefore, we characterized the model using quantitative mass spectrometry based proteomics of colon, ileum and urine as well and gut microbiota by Next-Genome-Sequencing (16SRNA). Additionally, we evaluated the effect of an environmental factor, intake of red meat, using this model.
2023-10-24 | PXD016223 | Pride
Project description:Background and Aims: The diagnosis of Inflammatory Bowel Diseases (IBD), ulcerative colitis (UC), and Crohn's disease (CD), relies on clinical and pathologic criteria. Non-invasive precision medicine tools to diagnose IBD and discriminate between UC and CD are needed to personalize management. Serum proteomics identified protein biomarkers capable of diagnosing IBD and differentiating Crohn’s disease from ulcerative colitis subtypes. Methods: We obtained serum samples from 47 IBD and non-IBD patients seen in a tertiary care pediatric gastroenterology clinic and applied SomaScan proteomics to measure 1,305 proteins to discriminate between IBD and non-IBD and UC and CD. Four proteins were further validated by immunoassays in two cohorts of 295 and 105 individuals and multi-protein predictors were developed using Support Vector Machines (SVM). Findings: The SomaScan discovery phase identified 95 serum protein biomarkers (BH p<0.01) that differentiated IBD from non-IBD and 70 proteins (p<0.01) that distinguished UC from CD. Pathway analysis linked specific inflammatory processes and vascular functions to IBD and UC versus CD. An 8-protein classifier achieved an AUC of 0.95 for identifying IBD. Significant elevation of four key predictor proteins (MMP1, MMP3, Resistin, Haptoglobin) in IBD was validated by ELISA in the expanded cohort (N=295). The 4-protein SVM predictor achieved an AUC of 0.86 and 0.90 for IBD discrimination in two independent cohorts. A separate 4-protein SVM predictor for differentiating UC from CD achieved an AUC of 0.93 in independent validation. Interpretation: Patients with pediatric-onset IBD have a unique serum protein signature associated with pro-inflammatory and vascular pathways. Additional studies are needed to determine whether these dysregulated proteins can be used in conjunction with traditional risk factors to support non-invasive biomarkers that identify IBD and discriminate between its subtypes. The diagnosis of Inflammatory Bowel Diseases (IBD), ulcerative colitis (UC), and Crohn's disease (CD), relies on clinical and pathologic criteria. Non-invasive precision medicine tools to diagnose IBD and discriminate between UC and CD are needed to personalize management. Serum proteomics identified protein biomarkers capable of diagnosing IBD and differentiating Crohn’s disease from ulcerative colitis subtypes. Methods We obtained serum samples from 47 IBD and non-IBD patients seen in a tertiary care pediatric gastroenterology clinic and applied SomaScan proteomics to measure 1,305 proteins to discriminate between IBD and non-IBD and UC and CD. Four proteins were further validated by immunoassays in two cohorts of 295 and 105 individuals and multi-protein predictors were developed using Support Vector Machines (SVM). Findings Som The SomaScan discovery phase identified 95 serum protein biomarkers (BH p<0.01) that differentiated IBD from non-IBD and 70 proteins (p<0.01) that distinguished UC from CD. Pathway analysis linked specific inflammatory processes and vascular functions to IBD and UC versus CD. An 8-protein classifier achieved an AUC of 0.95 for identifying IBD. Significant elevation of four key predictor proteins (MMP1, MMP3, Resistin, Haptoglobin) in IBD was validated by ELISA in the expanded cohort (N=295). The 4-protein SVM predictor achieved an AUC of 0.86 and 0.90 for IBD discrimination in two independent cohorts. A separate 4-protein SVM predictor for differentiating UC from CD achieved an AUC of 0.93 in independent validation. Interpretation Patients with pediatric-onset IBD have a unique serum protein signature associated with pro-inflammatory and vascular pathways. Additional studies are needed to determine whether these dysregulated proteins can be used in conjunction with traditional risk factors to support non-invasive biomarkers that identify IBD and discriminate between its subtypes.
2026-05-01 | GSE317366 | GEO
Project description:The IBD-Character cohort (Edinburgh, Oslo, Örebro, Linköping, Zaragoza, Maastricht) included patients with inflammatory bowel diseases (IBD: Crohn's disease, ulcerative colitis) recruited at diagnosis and non-IBD controls. Paired-end RNA sequencing was used for whole blood expression profiling. Raw and normalized counts tables are provided.
2022-03-01 | E-MTAB-11349 | biostudies-arrayexpress
Project description:Fecal microbiome profiles in multiplex inflammatory bowel disease (IBD) and control Ashkenazi Jewish families
| PRJNA1053656 | ENA
Project description:The intestinal mucosa of inflammatory bowel disease (IBD) patients is enriched with Enterobacteriaceae members. Concurrently, there is elevated bile acid (BA) bioavailability in the colons of IBD patients. Whether enhanced BA levels contribute to the bloom of Enterobacteriaceae members in IBD patients remains unexplored.
2025-10-07 | PXD041934 | Pride
Project description:Studying differences in responders and non-responders to therapy in inflammatory bowel disease (IBD) patients (crohn's disease and ulcerative colitis)
2019-01-24 | E-MTAB-7604 | biostudies-arrayexpress