Gut Microbiome in Inflammatory Bowel Disease
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Inflammatory Bowel Diseases, Ulcerative Colitis, Crohn Disease. Basic parameters: No limits · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- South Korea
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Discovery of Gut Microbial Signatures in Inflammatory Bowel Disease
Overview
Inflammatory bowel disease (IBD) is a chronic inflammatory condition for gastrointestinal tract. There have been numerous studies to reveal dysbiosis of fecal/mucosal microbiome composition in IBD patients but actual trend of dysbiosis is strikingly different among patient's ethnicity. In this background, the investigators have composed a prospective cohort of Korean IBD patients in a large academic referral IBD center. Using an integrated multi-omics bioinformatic analysis, the investigators aim to explore gut microbial signatures along with distinct clinical/genetic features, and their potential interplay in patients with IBD.
Detailed description
This prospective cohort study aims to build a gut microbiome library for Korean IBD patients, and also aims to explore gut microbial signatures along with distinct clinical/genetic features and their potential interplay using the investigator's multi-omics analysis platform.
After signing the informed consent, various biological samples (fecal, mucosal and blood samples) as well as comprehensive clinical data (including psychometric evaluations using patient survey) will be obtained from patients periodically.
The multi-omics investigations will comprise: metagenomics (16s RNA sequencing and whole metagenomic sequecing), metabolomics, human genomics (genome-wide SNP data, whole exome and genome sequencing), transcriptomics, proteomics, epigenetics and single-cell multi-omics analysis. In vitro and in vivo study using fecal samples will be conducted.
In brief, after extracting the DNA from blood samples, whole genome sequencing will be performed and data will be compared with the previously reported variances. Novel variances or incidence of specific variances will be measured. Fecal sample will be collected and microbiome composition of each study subjects will be analyzed. Fecal microbial diversity will be measured from sequencing data of 16S ribosomal RNA which is highly preserved area of genetic information amongst microorganisms. Colonic mucosal sample will be collected when routine endoscopic surveillance is planned. Sample will be collected from diseased and normal mucosal altogether for analysis. Microbial diversity will be measured from 16S RNA sequencing data of the samples.
The multi-omics data will be analyzed with comprehensive clinical metadata using an integrated bioinformatics analysis platform. Clinical data include demographics, disease characteristics and variouis patient-reported outomes data (including health-related quality of life, anxiety, depression and others). Patient-reported outcomes data will be collected using validated questionnaires periodically.
Data from basic analysis will be re-explore in terms of inter-individual difference, difference between disease characteristics (such as disease phenotype, type of medical treatment and serologic markers), difference between psychosocial characteristics (such as the presence of anxiety or depression and quality of life) and etc. In addition, data from basic analysis will be used as the reference for the Korean IBD patient and it will be compared with other data obtained from the "different ethnicity" or "healthy" Korean population.
In conclusion, this long term, large-scale prospective study will provide a platform for studying a field of translational medicine to reveal hidden signatures of gut microbiome underlying IBD and to identify potential biological markers in IBD.
Primary outcome measures
- Composition and diversity of gut microbiome [Time frame: Up to 10 years]
Secondary outcome measures (5)
- Taxonomic profiling of gut microbiome [Time frame: Up to 10 years]
- Finding of single nucleotide polymorphisms (SNPs) [Time frame: Up to 10 years]
- Finding of serologic biomarkers [Time frame: Up to 10 years]
- Correlation between host genotyping and gut microbiome [Time frame: Up to 10 years]
- Liquid biopsy biosignatures assessed by single cell RNA-Seq [Time frame: Up to 10 years]
Eligibility criteria
Inclusion criteria
- Patients with established diagnosis of inflammatory bowel disease, including ulcerative colitis and Crohn disease
Exclusion criteria
- Person with history of using antibiotics or probiotics within previous 2 weeks.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
South Korea · 1 center
- Kyung Hee University Hospital — Seoul
Publications
- Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature. 2007 Jun 7;447(7145):661-78. doi: 10.1038/nature05911. PMID 17554300
- Thia KT, Loftus EV Jr, Sandborn WJ, Yang SK. An update on the epidemiology of inflammatory bowel disease in Asia. Am J Gastroenterol. 2008 Dec;103(12):3167-82. doi: 10.1111/j.1572-0241.2008.02158.x. PMID 19086963
- Nishida A, Inoue R, Inatomi O, Bamba S, Naito Y, Andoh A. Gut microbiota in the pathogenesis of inflammatory bowel disease. Clin J Gastroenterol. 2018 Feb;11(1):1-10. doi: 10.1007/s12328-017-0813-5. Epub 2017 Dec 29. PMID 29285689
- Huang H, Vangay P, McKinlay CE, Knights D. Multi-omics analysis of inflammatory bowel disease. Immunol Lett. 2014 Dec;162(2 Pt A):62-8. doi: 10.1016/j.imlet.2014.07.014. Epub 2014 Aug 15. PMID 25131220
Identifiers
NCT: NCT03589183 · IBD library_2018