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No accrual
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| Name | Class |
|---|---|
| Massachusetts Institute of Technology | OTHER |
| University Medical Center Groningen | OTHER |
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Inflammatory Bowel Diseases are incurable, life-long conditions that significantly impact a patient's quality of life. Crohn's Disease and ulcerative colitis are the most prevalent inflammatory bowel diseases in the United States; both are characterized by chronic, relapsing inflammation of the intestinal tract, which manifests as symptoms of diarrhea, fecal urgency, fecal incontinence, fever, fatigue, abdominal pain and cramping. These severely debilitating periods of illness or "flare" alternate with times of remission when patients have few or no symptoms, and feel healthy. Despite periodic respite, many patients with IBD experience severe stress and anxiety even when they are well, because of the likely occurrence of episodes of disease in their future. This is exacerbated by the unpredictable frequency and inconsistent duration of flares that may last as long as several weeks or months.
The goal for this study is to use non-invasive monitoring techniques to identify biomarkers that emerge, or change predictably, when a patient begins to relapse from remission to enter a period of disease - to find the earliest signs of an active flare. If the investigators identify a pattern of biomarkers that could alert a patient and their clinician to a flare as soon as it begins, it may be possible to intervene before symptoms present by changing medication and/or diet and lifestyle to lessen the severity of the disease flare. The biomarker fingerprint may also reveal new targets for therapeutics that could control IBD.
Inflammatory Bowel Disease (IBD) is a chronic, incurable, life-long condition that significantly negatively impacts a patient's quality of life, and increases their risk of developing colorectal cancer. The causes of IBD are currently unknown, but are thought to be a combination of factors related to an individual's genetics, environment and immune system. A common characteristic of ulcerative colitis and Crohn's Disease, the most prevalent forms of IBDs in the United States, are chronic, relapsing inflammation of the intestinal tract. When patients are in remission they are healthy with no or few symptoms, and can lead normal and productive lives. However, these periods of health alternate with periods of illness (flares) with an unpredictable frequency, during which patients suffer from an array of symptoms including diarrhea, fecal urgency, fecal incontinence, fever, fatigue, abdominal pain and cramping. Inflammation in the colon and rectum often causes ulcers that bleed resulting in bloody stools; as inflammation continues, ulcers can get larger, and even join together increasing the volume of blood lost, leading to anemia in some cases. During episodes of active disease, patients experience a reduced appetite and unintended weight loss. Flares do not have a consistent duration, and can last from weeks to months. Symptoms can range from mild to severe, and can change over time.
According to the Centers for Disease Control and Prevention, there are currently an estimated 1-1.3 million people with IBD in the United States, and most of these patients are diagnosed with the disease before age 30. The burden of living with these lifelong conditions is obviously severe, however the financial burden should also be considered. In 2008, the total annual financial burden for direct treatments costs for patients with IBD in the United States was estimated to be $6.3 billion. Costs includes expenses such as physician services, prescription and over-the-counter drugs, hospitalization, and other direct medical expenses. Indirect costs (including lost earnings or productivity, and lost leisure time) were estimated to amount to an additional $5.5 billion.
Although the study is not targeted at finding a cure for IBD, the goal is to vastly improve the patient's quality of life by identifying biomarkers that emerge, or change predictably in a period leading up to the very beginning of a flare.
The investigators will identify biomarkers that predict an episode of disease is imminent. The investigators will target biomarkers that can be tracked non-invasively, by monitoring changes in the stool microbiome, metabolites in stool and urine, as well as physiological and lifestyle changes by asking patients to wear a wearable device (the Fitbit Charge 3). The investigators will collect blood samples regularly (blood draws are minimally invasive) to monitor additional biomarkers. By intensively monitoring patients in this way for a period of time that encompasses health (remission) and disease (flare), as well as the transition period in between, the investigators hope to amass enough data to tease out such a biomarker, or fingerprint of biomarkers, that benchmark the earliest stages of a flare. The investigators will conduct this study in collaboration with researchers at the Center for Microbiome Informatics and Therapeutics at Massachusetts Institute of Technology.
The ability to non-invasively track biomarkers, to monitor a patient for such an early disease fingerprint, may give that patient the power to manage their lives and their disease with greater precision than they can today. In particular, if that early disease fingerprint appears at a time when the patient still feels well, it is possible they could intervene to block progression of the flare by changing medications, and/or making lifestyle changes thus minimizing the impact of the flare, and the symptoms they experience.
Furthermore, pinpointing the molecular changes that occur systemically, throughout the patients during this transition period, from health (remission) to disease (flare) will give researchers the knowledge and tools with which to begin to develop therapies that can block progression of the disease state, preventing the flare, and perhaps "reset" the body to a state of health. Therapies, like these would greatly relieve the burdens of disease and financial costs for this patient population.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with inflammatory bowel disease | Patients who have...
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Fitbit Charge 3 | Device | Smart watch monitoring activity and movement, heart rate, sleep, and more |
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| Measure | Description | Time Frame |
|---|---|---|
| Simple Clinical Colitis Activity Index | Patient-reported measure for ulcerative colitis referring to disease symptoms occurring over the last week. The point value from each answer is added up for a total score.
| 1 week |
| Harvey-Bradshaw Index | Patient-reported measure for Crohn's disease referring to disease symptoms occurring over the last week. The point value from each answer is added up for a total score.
| 1 week |
| Stress and Wellbeing | Patient-reported measure of current stress level measured on a scale of 1 (1 = no stress) to 5 (5 = highest stress possible) | Current moment in time |
| 24-hour dietary recall survey |
| Measure | Description | Time Frame |
|---|---|---|
| Biospecimen association - microbiome timeseries and blood and stool metabolites | Investigators will measure any existing correlations between the microbiome timeseries and the identified blood and stool metabolites over the 12-month study period to determine if there are any associations between the two variables. | 12 months |
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Inclusion Criteria:
Exclusion Criteria:
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Adults with established inflammatory bowel disease who have had quiescent disease for at least 3 months but have experienced a flare within the last 24 months
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| ID | Term |
|---|---|
| D015212 | Inflammatory Bowel Diseases |
| D003093 | Colitis, Ulcerative |
| D003424 | Crohn Disease |
| ID | Term |
|---|---|
| D005759 | Gastroenteritis |
| D005767 | Gastrointestinal Diseases |
| D004066 | Digestive System Diseases |
| D007410 | Intestinal Diseases |
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Optional blood, stool, and urine samples will be requested at various time points throughout the 12-month follow-up period. Optional biopsy samples can be collected at a standard-of-care endoscopic procedure.
Patient-reported measure of diet over the last 24 hours. The survey can be found here: https://asa24.nci.nih.gov/demo/ |
| 24 hours |
| Blood biomarkers - metabolite content | Metabolite content will be determined by monitoring patients via regular blood draws over the 12-month study period. By analyzing metabolite content in periods of health (remission), disease (flare), and the transition period in between, investigators hope to identify unique biomarkers that indicate the earliest stages of a flare. The investigators do not know each specific metabolite that will be measured. The objective of this outcome is to identify any and all possible biomarkers and metabolites that may be present in these samples. | 12 months |
| Blood biomarkers - cytokine profile | Cytokine profile will be determined by monitoring patients via regular blood draws over the 12-month study period. By analyzing cytokine profile in periods of health (remission), disease (flare), and the transition period in between, investigators hope to identify unique biomarkers that indicate the earliest stages of a flare. The investigators do not know each specific biomarker and cytokine that will be measured. The objective of this outcome is to identify any and all cytokines that may be present in these samples. | 12 months |
| Blood biomarkers - T-cell receptor sequence profile | T-cell receptor sequence profiles will be determined by monitoring patients via regular blood draws over the 12-month study period. By analyzing T-cell receptor sequence profiles in periods of health (remission), disease (flare), and the transition period in between, investigators hope to identify unique biomarkers that indicate the earliest stages of a flare. | 12 months |
| Stool biomarkers - microbial DNA content in microbiome | Patients will submit weekly stool samples for analysis and monitoring. The investigators will analyze the gut microbiome composition by characterizing the microbial DNA content and tracking changes throughout the 12-month study period. The investigators do not know each microbe that will be assessed. The objective of this outcome is to identify any and all microbes that may be present in these samples. | 12 months |
| Stool biomarkers - overall microbiome content | The investigators will analyze the bacterial, fungal, and viral constituents at enrollment and and track changes throughout the 12-month study period to identify biomarkers of importance. These will be assessed with stool wipe samples, glycerol-preserved stool, and fresh and ethanol-preserved stool samples. Stool samples will either collected by patients at home or collected in-clinic and flash frozen. | 12 months |
| Stool biomarkers - degree of intestinal inflammation via Fecal Calprotectin | The investigators will measure the degree of intestinal inflammation by quantifying Fecal Calprotectin (a biomarker) levels in patients' weekly stool samples and tracking changes throughout the 12-month study period. This will be measured using stool wipe samples and fresh stool samples. | 12 months |
| Urine biomarkers - metabolite content | The investigators will use urine samples collected throughout the study to analyze each subject's urine metabolite content and track changes throughout the 12-month study period in an attempt to identify biomarkers potentially indicative of a flare. The investigators do not know each specific metabolite that will be measured. The objective of this outcome is to identify any and all possible biomarkers and metabolites that may be present in these samples. | 12 months |
| Biospecimen association - microbiome composition and fecal calprotectin levels |
Investigators will measure any existing correlations between the microbiome composition and fecal calprotectin levels identified in the primary outcomes over the 12-month study period to determine if there are any associations between the two variables. |
| 12 months |
| Biospecimen association - blood and stool metabolites and microbiome composition | Investigators will measure any existing correlations between the identified blood and stool metabolites and the microbiome composition over the 12-month study period to determine if there are any associations between the two variables. | 12 months |
| Biospecimen association - stool metabolites and blood metabolites | Investigators will measure any existing correlations between the identified blood metabolites and the identified stool metabolites and the microbiome composition over the 12-month study period to determine if there are any associations between the two variables. | 12 months |
| D003092 | Colitis |
| D003108 | Colonic Diseases |