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Fecal Microbiota Transplantation will be offered to eligible Crohn's disease patient as Investigational New Drug treatment
The following hypothesis will be tested in this study:
Primary objectives:
1. To determine the short term safety and tolerability of fecal microbiota transplantation up to 12 weeks post-transplant in patients with Crohn's disease.
Secondary objectives:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Fecal Microbial transplantation | Experimental | Fecal Microbial Transplantation will be offered to patients eligible to be part of the study. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Fecal Microbial Transplantation | Biological | Fecal Microbial Transplantation via will be offered to eligible Crohn's patient |
|
| Measure | Description | Time Frame |
|---|---|---|
| Number of participants with treatment-related adverse events as assessed by CTCAE v4.0. | Number of participants with treatment-related adverse events with grade greater than 2 within one year after FMT will be reported. | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| To measure the effect of fecal microbial transplantation on microbial diversity in healthy donor stools compared to pre-FMT, 1 week post FMT, and 12 weeks post-FMT recipient stools. | Fecal DNA samples will undergo V3-V4 16S rRNA sequencing. Operational taxonomic units (OTUs) will be produced by clustering sequences with identical taxonomic assignments. Alpha diversity indices (e.g. Chao1, Shannon complexity H, Shannon Evenness H/Hmax) will be calculated inferred through 1000 replicate resamplings using Explicet. Beta diversity (Bray-Curtis and Jaccard distances) will be calculated for the recipient Pre-FMT, 1 week post-FMT and 12 weeks post-FMT as compared to their pared donor using the adonis function in the R vegan package at the phyla, family and genus level. A linear mixed model will be used to compare alpha-diversity (ShannonH) and beta-diversity (Bray-Curtis and Jaccard distance) between each timepoint (FMT) and each disease group (Group). P-values less than 0.05 were considered as statistically significant. |
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Inclusion Criteria for initial Fecal Microbial Transplant for Crohn's disease:
All patients age ≥7 years of age with established diagnosis of Crohn's disease made by a primary gastroenterologist based on history, physical examination, laboratory/radiological studies, and gastrointestinal histology, with one or more of the following criteria:
All patients or legal guardians of patients less than 18 years of age will have to give consent. The consent form will outline that although fecal microbiota transplantation appears safe based on past studies, a theoretical risk of transmission of an unrecognized infectious agent or substance exists and could result in an unexpected disease. All patients aged ≥7 and <18 years will have to give assent
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Ellen Li, MD, PhD | Stony Brook University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stony Brook University Hospital | Stony Brook | New York | 11794 | United States |
No plans to share IPD
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_ICF | Yes | No | Yes | Study Protocol and Informed Consent Form | Jul 24, 2019 | Aug 30, 2019 | Prot_ICF_002.pdf |
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| ID | Term |
|---|---|
| D003424 | Crohn Disease |
| ID | Term |
|---|---|
| D015212 | Inflammatory Bowel Diseases |
| D005759 | Gastroenteritis |
| D005767 | Gastrointestinal Diseases |
| D004066 | Digestive System Diseases |
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| 6 years |
| To measure the effect of fecal microbial transplantation on microbial composition in healthy donor stools compared to pre-FMT, 1 week post FMT, and 12 weeks post-FMT recipient stools. | Fecal DNA samples will undergo V3-V4 16S rRNA sequencing. . Operational taxonomic units (OTUs) will be produced by clustering sequences with identical taxonomic assignments. Linear mixed models analyses on individual OTUs at the genus level will be conducted on 105 OTUs after eliminating OTUs with an average relative abundance of < 0.001% in the donor and recipient pre-FMT samples, and after discarding OTUs where more than 75% of the samples had a zero count. To compare the relative abundance of each OTU between timepoints before and after FMT [pre-transplant recipient, 1-wk. post-FMT recipient, 3-mos. post-FMT recipient] and each disease group, a generalized linear mixed model (GLMM) or generalized estimating equation (GEE) will be used by taking the actual counts of each OTU as the outcomes that were assumed to follow a negative binomial distribution. The p-values will be adjusted for multiple comparisons by the Bonferroni correction or by the Benjamin-Hochberg method (FDR < 0.05). | 6 years |
| To measure the effect of fecal microbial transplantation on microbial function using shotgun DNA metagenomic in healthy donor stools compared to pre-FMT, 1 week post FMT, and 12 weeks post-FMT recipient stools. | Fecal DNA samples will undergo shotgun DNA metagenomics sequencing. After removing human sequences, the Reads per kilobase gene length (RKP) will be calculated using HUMANN2 software for individual bacterial proteins/enzymes and pathways. . A linear mixed model will be used to compare RPK associated with pathways and individual proteins between each timepoint (FMT) and each disease group (Group). P-values less than 0.05 were considered as statistically significant.Linear mixed models analyses on the RPK associated with individual genes and pathways will be analyzed using linear mixed models between timepoints before and after FMT [pre-transplant recipient, 1-wk. post-FMT recipient, 3-mos. post-FMT recipient] and each disease group, a generalized linear mixed model (GLMM) or generalized estimating equation (GEE) were used by taking the actual RPK as the outcomes that will be assumed to follow a negative binomial distribution. | 6 years |
| To measure the effect of fecal microbial transplantation on microbial function using bacterial metatranscriptomic sequencing | Fecal RNA samples will undergo bacterial metatranscriptomic RNA sequencing. After removing human sequences, the Reads per kilobase transcript (RKP) will be calculated for individual bacterial proteins/enzymes and pathways. A linear mixed model will be used to compare RPK associated with pathways and individual proteins between each timepoint (FMT) and each disease group (Group). P-values less than 0.05 were considered as statistically significant. | 6 years |
| To measure the effect of fecal microbial transplantation on microbial function using targeted metabolomic assays. | Fecal samples will undergo extraction for targeted metabolomics analysis of short chain fatty acids (micrograms/gram stool) using gas chromatography-mass spectrometry, and of bile acids (microgram/gram stool) using liquid chromatography-mass spectrometry. A linear mixed model will be used to compare respectively short chain fatty acid and bile acid metabolites between each timepoint (FMT) and each disease group (Group). P-values less than 0.05 were considered as statistically significant. | 6 years |
| Determine if FMT causes a statistically significant change in recipient fecal calprotectin levels | Fecal calprotectin (microgram/gram stool) levels will be measured as in the recipient at baseline pre-FMT, 1 week, and 12 weeks post FMT. A linear mixed model will be used to compare fecal calprotectin levels between each timepoint (FMT) and each disease group (Group). P-values less than 0.05 were considered as statistically significant. | 6 years |
| D007410 | Intestinal Diseases |