Irritable Bowel Disease
Conditions
Brief summary
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Ⓡ).
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.
Interventions
DEVICEHygieacare System
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.
Sponsors
HyGIeaCare, Inc.
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Intervention model description
Study Arm = 10 patients diagnosed with colonic IBD (5 diagnosed with Ulcerative Colitis and 5 diagnosed with Crohn's Disease) scheduled for a surveillance colonoscopy Control Arm = 10 patients scheduled for a routine screening colonoscopy who do not have a history of IBD symptoms or IBD diagnosis
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Detection of IBD-related microbiome-derived biomarkers in stool samples | analysis end of study enrollment | 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. |
| unpaired T-test | analysis end of study enrollment | 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. |
| cox wilcoxon test | through study completion, an average of 1 year | 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 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Alpha diversity | through study completion, an average of 1 year | 16S and meta genomics analysis |
| beta diversity | through study completion, an average of 1 year | PCoA analysis |
| Differential abundance analysis | 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. |
| Shannon index | through study completion, an average of 1 year | 16S and meta genomics analysis |
Countries
United States
Outcome results
None listed