- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05640583
Assessing Uniqueness of Inflammatory Bowel Disease Related Microbiome-derived Biomarkers
Assessing the Uniqueness of Inflammatory Bowel Disease Related Microbiome-derived Biomarkers Found in the Lumen of the Human Large Intestine in Comparison to Those Found in Spontaneously Excreted Stool Samples
To assess the differential expression of IBD-related microbiome-derived biomarkers including bacterial strains and peptides such as antimicrobial peptides (AMP) found in inner-colonic samples (HygiSample™) in comparison to home collected stool samples in patients with active IBD colonic disease.
The HygiSample will be collected during a defecation-inducing high-volume (>40 L) colon irrigation bowel prep (HygiPrepⓇ).
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This study is a preliminary study aimed to assess the ability to differentially detect IBD-related microbiome-derived biomarkers in colon effluent samples collected using the Hygieacare System. The proposed sample size of 20 patients (10 in the control arm, 10 in the IBD arm), where each patient provides both stool and three inner-colonic samples is sufficient to provide preliminary results for such an assessment.
Categorical variables will be summarized by frequencies and percentages, while quantitative variables will be summarized by descriptive statistics (mean, median, standard deviation, minimum, and maximum).
The investigators will compare taxonomy and phylogeny biodiversity between the control and the IBD arms and between stool and colon effluent samples.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Virginia
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Norfolk, Virginia, United States, 23502
- HyGIeaCare Center
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- The patient's age is between 18 and 80 years old
- For study arm - patients with known colonic IBD based on colonoscopic findings - diagnosed with either Ulcerative Colitis or Crohn's Disease scheduled for surveillance colonoscopy.
- For control arm - patients scheduled for routine colonoscopy without active IBD symptoms or IBD diagnosis
Exclusion Criteria:
- The patient has an underlying condition that in the opinion of the investigator may adversely affect the patient's ability to understand, comply with, or follow protocol instructions
- History of intestinal resection (appendectomy allowed)
- Active Clostridium difficile colitis
- Antibiotic use for 2 months prior to colonoscopy
- The patient has any of the contraindications listed below:
congestive heart failure, intestinal perforation, carcinoma of the rectum, fissures or fistula, severe hemorrhoids, abdominal hernia, renal insufficiency, cirrhosis, pregnancy, or recent colon, rectal, or abdominal surgery
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: IBD
10 patients diagnosed with colonic IBD (5 diagnosed with Ulcerative Colitis and 5 diagnosed with Crohn's Disease) scheduled for a surveillance colonoscopy
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The device is an FDA cleared colon irrigation device, it will be used according to clearance.
The sampling of the colon effluent sampled is the are of study.
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Active Comparator: Control
10 patients scheduled for a routine screening colonoscopy who do not have a history of IBD symptoms or IBD diagnosis
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The device is an FDA cleared colon irrigation device, it will be used according to clearance.
The sampling of the colon effluent sampled is the are of study.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Detection of IBD-related microbiome-derived biomarkers in stool samples
Time Frame: analysis end of study enrollment
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Each patient provides both stool (when possible) and inner-colonic samples. The samples will be analyzed to identify microorganisms' presence and abundance, diversity, and functional genomics. Specifically, we will look at the alpha and beta diversity of the microbiota (% of prediction on the most dominant vectors of the system) and the taxonomic differences between the samples - represented by percentages over taxonomic groups. If the data allows (based on our omics results), we will look at the potential abundance of calprotectin (IBD biomarker, % from control). We will analyze the data for the study participants by age, gender, BMI (average, median, standard deviation), and prevalence of underlying diseases. The questionnaires will be used to find correlations between the patient's overall health, exercise routine, nutritional habits, and diet. Results will be presented using R^2 when applies. |
analysis end of study enrollment
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unpaired T-test
Time Frame: analysis end of study enrollment
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We will track the patients demographic and physiological parameters - age (years), gender (male/female), height (feet inches), weight (lbs), BMI.
We will collect information about the patients eating, heath, and exercise habits using a questionnaire.
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analysis end of study enrollment
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cox wilcoxon test
Time Frame: through study completion, an average of 1 year
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We will track the patients demographic and physiological parameters - age (years), gender (male/female), height (feet inches), weight (lbs), BMI.
We will collect information about the patients eating, heath, and exercise habits using a questionnaire
|
through study completion, an average of 1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Differential abundance analysis
Time Frame: through study completion, an average of 1 year
|
For our comparative analyses, we will carry out clustering and differential abundance. we will qualify the bacteria abundance using 16S and meta genomics analysis and provide information of the available species using Alpha diversity and Shannon index and beta diversity using PCoA analysis. analysis with correction for multiple comparisons by false discovery rate. |
through study completion, an average of 1 year
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Alpha diversity
Time Frame: through study completion, an average of 1 year
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16S and meta genomics analysis
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through study completion, an average of 1 year
|
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Shannon index
Time Frame: through study completion, an average of 1 year
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16S and meta genomics analysis
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through study completion, an average of 1 year
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beta diversity
Time Frame: through study completion, an average of 1 year
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PCoA analysis
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through study completion, an average of 1 year
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Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- HGP-0011
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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