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Set-up of Mass Spectrometry-based Stool Tests for Improving the Diagnosis and Management of Inflammatory Bowel Disease
Part of the success of the treatment of people living with inflammatory bowel diseases (IBD) depends on the information that the doctor can obtain from the different clinical tests. Some of these tests are invasive such as the colonoscopy but other such the fecal calprotectin test, which measures intestinal inflammation, are non-invasive and useful to evaluate the success of the treatments. Unfortunately, the results from the non-invasive tests are not always clear and need to be complete with invasive tests for the right diagnosis. The aim of this research is to test new stool markers for assisting the gastroenterologist to diagnose inflammatory bowel conditions including Crohn's disease (CD) and ulcerative colitis (UC) and to carefully monitoring the effects of medications on remission. We are using applications based on the use of mass spectrometry for identifying the proteins that are released by the host in the stools. We have identified more than 400 proteins in total. Based on informatics, we have been able to produce lists of unique stool proteins that can rapidly inform the doctor if the person has an IBD, whether it is a CD or an UC and, more importantly for the treatment, if the IBD is active or in remission. The purpose of this study is to validate these protein markers in a blind test, where the real diagnosis will only be revealed after the analysis of the samples. This study will bring a new power tool to assist the gastroenterologist in the treatment of people living with IBD.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Centre de recherche of the CIUSSS de l'Estrie-CHUS
Sherbrooke, Quebec, Canada
Start Date
May 30, 2024
Primary Completion Date
June 30, 2025
Completion Date
December 15, 2025
Last Updated
December 9, 2024
120
ESTIMATED participants
Analysis of protein signatures in stool samples
DIAGNOSTIC_TEST
Lead Sponsor
Jean-François Beaulieu
NCT07271069
NCT07245394
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT07089420