Barrett Esophagus, Celiac Sprue, Colon Polyp, Crohn Disease, Duodenal Ulcer, Eosinophilic Esophagitis, Esophageal Cancer, Gallstone Disease, Gastric Cancer, Gastric Ulcer, Gastritis, Gastro Esophageal Reflux, GERD, IBS, Intestinal Metaplasia, Irritable Bowel Syndrome, Lymphocytic Colitis, Microscopic Colitis, NAFLD, Obesity, SIBO, Ulcerative Colitis
Conditions
Keywords
gastrointestinal disease, gastric upset
Brief summary
This is a longitudinal observational study on patients with gastrointestinal and related disease. The study will be conducted for at least 10 years, following each participant over time, as they either go through relapses and remissions, or progression of their disease.
Detailed description
This is a longitudinal, observational study whose main goal is to identify the human and microbial determinants of gastrointestinal diseases. Molecular and metadata will be collected from a large study population at multiple time points. Machine learning will be applied to all data, and models will be evaluated for development of novel diagnostic and therapeutic tools.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Any patient 18 years old or older that schedules a visit to WAGI clinics or endoscopy center * Able to use electronic communications * Able to communicate in English * Consent to participate in the study
Exclusion criteria
* None
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Identification of human determinants of gastrointestinal diseases. | Up to 10 years | Identification of biomarkers that indicate gastrointestinal diseases. |
| Identification of microbial determinants of gastrointestinal diseases. | Up to 10 years | Identification of microbial species that indicate gastrointestinal disease. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Development of a molecular test for C. difficile infection (CDI) | Up to 10 years. | Development of a molecular test for C. difficile infection (CDI) |
| Prediction of efficacy of biologics in treating IBD. | Up to 10 years. | Prediction of the efficacy of a biologic medication against IBD based on molecular data and metadata. |
| Quantify change in microbial species over time post colonoscopy | Up to 10 years. | Quantification of changes observed in the microbiome post colonoscopy. |
Countries
United States