The inflammatory bowel disease (IBD) is a condition that afflects approximately 5 million people worldwide, with 1.4 million in the US and 2.2 million in Europe. By 2030, it is predicted that up to 1% of the entire Western population will have this disease. Notably, IBD encompasses conditions like Crohn's disease (CD) and Ulcerative colitis (UC). The emergence of this disease in non-Western countries is attributed to the rapid urbanization and industrialization which has led to the adoption of Westernized diets, an increase in the use of antibiotics early in life, and air pollution. These factors are suspected to induce changes in the gut microbiome, contributing to the rise of IBD. However, as an immune-mediated chronic intestinal disease, it is a multifactorial condition triggered by genetic mutations, gut microbial features, and environmental factors. Despite numerous studies, the exact causes remain insufficiently understood, emphasizing the importance of research and development to significantly benefit the health of the rapidly increasing patients. The study aims to construct a multi-omics analysis platform, including gut microbiome analysis, using biosamples collected from Korean patients with inflammatory bowel disease (IBD) and their families. Through this platform, comparative clinical research will be conducted to elucidate the pathophysiology of the disease and develop potential biomarkers.
This study aims to construct a multi-omics analysis platform using biosamples collected from patients with inflammatory bowel diseases (IBD) and their families. Through this platform, comparative clinical research will be performed to elucidate the pathophysiology of the disease and develop potential biomarkers. The specific research objectives are as follows: 1. To identify clinical risk factors, genotype-genome variations, microbiome, and metabolomic markers that can predict high-risk groups prone to poor therapeutic outcomes and complications. 2. To elucidate differences in genotype, gut microbiome distribution, and metabolomics between non-responders to biological agents and small molecule drugs versus those with good therapeutic responses. Using this information, the aim is to develop multi-omics biomarkers that can predict responders and non-responders. 3. To develop a multi-omics biomarker-based algorithm that can prioritize the choice of various biological agents or small molecule drugs for individual patients. 4. To construct guidelines for precision treatment by identifying multi-omics markers associated with the onset of IBD, disease exacerbation, and complications and by clarifying the role of multi-omics in the pathophysiological mechanism. 5. Using familial IBD patients and family control groups, the study aims to elucidate environmental and genetic factors associated with the onset of IBD. 6. By comparing with the data of healthy intestines (non-blood-related disease control group), the role of gut microbiota in the pathogenesis of IBD and associated diseases in Koreans will be clarified. 7. By comparing with data from other target disease patients (e.g., AS, HIV), the role of gut microbiota in the onset of immune-mediated inflammatory diseases and associated conditions will be elucidated. 8. An integrated analysis of prior genomic data, current project genomic data (from the gut, oral-respiratory, skin, urogenital tracts), other domestic and international cohorts, and overseas genomic data will clarify regional and ethnic differences and roles of gut microbiota in the pathogenesis of IBD and associated diseases in Koreans. 9. To elucidate the interrelationship between human host genetic traits, microbiome, and environmental influences in the pathogenesis of IBD.
Study Type
OBSERVATIONAL
Enrollment
900
Kyunghee University Medical Center
Seoul, South Korea
RECRUITINGConstruction of a gut microbiome data platform by obtaining samples and clinical-related data from inflammatory bowel disease patients and control groups
Verify the input of clinical information for collected microbiome data. Confirm the number of collected microbiome biospecimens. Verify whether the collected microbiome biospecimens align with the research proposal objectives. Ensure the production and management of microbiome data collected.
Time frame: 5 years
Production and measurement of multi-omics data
Host genomics, transcriptomics, metabolomics, proteomics, isolated bacterial strain
Time frame: 5 years
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