Cystic Fibrosis, Dysbiosis
Conditions
Keywords
Cystic Fibrosis, Gastrointestinal Dysbiosis, Vitamin D, Prebiotic, Inulin, Gut microbiome, Intestinal inflammation, Intestinal absorption
Brief summary
The study will assess if administration of high-dose vitamin D and a commonly used prebiotic (inulin) is effective to reduce gastrointestinal dysbiosis and to improve critical intestinal functions in Cystic Fibrosis with the additive or synergistic effects of the combination of vitamin D + inulin.
Detailed description
Cystic fibrosis (CF) is the most common life-shortening genetic condition among Caucasians in the United States. Individuals with CF have an altered gastrointestinal (GI) microbiota, which may be a result of chronic systemic inflammation and infection, frequent use of antibiotics, and/or medically prescribed and habitual high-fat/high-calorie diets. The study will assess if administration of high-dose vitamin D and a commonly used prebiotic (inulin) is effective to reduce gastrointestinal dysbiosis and to improve critical intestinal functions in Cystic Fibrosis.
Interventions
Matching to Vitamin D3 placebo capsules for 12 weeks
High-dose vitamin D3 50,000 IU /week for 12 weeks
Chicory-derived prebiotic inulin 12 g/day for 12 weeks
Corn-derived maltodextrin 12g/day as the prebiotic placebo for 12 weeks
Sponsors
Study design
Eligibility
Inclusion criteria
1. male and female patients (age \> 18 years) with confirmed CF by genetic mutation and/or sweat chloride testing, 2. not currently on oral or systemic antibiotics for pulmonary exacerbation, 3. vitamin D deficient/insufficient (25(OH)D, 6 - 30 ng/mL) with most recent 25(OH)D in the past 12 months, 4. use of CFTR modulator therapy is allowed
Exclusion criteria
1. severe vitamin D deficiency 25(OH)D ≤ 5 ng/mL or hypocalcemia or hypercalcemia, 2. active GI disease, abdominal pain and/or diarrhea, 3. chronic kidney disease worse than stage 3 (eGFR \< ml/min per 1.73 m2), 4. any vitamin D supplement use \>2,000 IU or vitamin D analogue (patients who are taking more than 2,000 IU of vitamin D must agree to stop the vitamin D for 6 weeks and take less than 2,000 IU of vitamin D during the study), 5. use of immunosuppressants or history of organ transplantation, 6. current use of probiotics or prebiotics
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in Species Richness Index From Baseline | Baseline, 12 weeks post-intervention | Stool microbiota analysis will be measured using this ecological diversity measure. Stool samples will be collected using a stool kit provided to the participant. |
| Shannon Index | Baseline, 12 weeks post-intervention | The Shannon Index is a measure of diversity of microbial species that takes into account both abundance (the number of species present) and evenness (how close the numbers for each species are). The Shannon index can be calculated using the following equation: H= -∑(i=1)\^s pi ln(pi). A value of zero for H indicates that a community has only one species. The higher the value of H, the higher the diversity of species in a particular community. Sputum microbiota analysis was measured using this ecological diversity measure. Sputum samples were collected via a sputum kit. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in GI Microbiota Diversity | Baseline, 12 weeks post-intervention | Changes in GI microbiota diversity will be determined using 16S rRNA gene sequencing and microbiome-dependent metabolites pathways in stool and plasma using high-resolution metabolomics analysis.Changes in GI microbiota diversity will be reported as the Shannon Index. |
| Change in GI Microbiota Richness | Baseline, 12 weeks post-intervention | Changes in GI microbiota richness will be determined using 16S rRNA gene sequencing and microbiome-dependent metabolites pathways in stool and plasma using high-resolution metabolomics analysis.Changes in GI microbiota richness will be reported as a number of populations of microorganisms. |
| Change in GI Microbiota Composition | Baseline, 12 weeks post-intervention | Changes in GI microbiota composition will be determined using 16S rRNA gene sequencing and microbiome-dependent metabolites pathways in stool and plasma using high-resolution metabolomics analysis.Changes in GI microbiota composition will be reported as a percentage of bacteria. |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Vitamin D3 and Inulin Vitamin D3 50,000 IU/week and 12 g/day chicory-derived prebiotic inulin for 12 weeks
Vitamin D3: High-dose vitamin D3 50,000 IU /week for 12 weeks
Inulin: Chicory-derived prebiotic inulin 12 g/day for 12 weeks | 7 |
| Vitamin D3 and Placebo Inulin Vitamin D3 50,000 IU/week and 12 g/day corn-derived maltodextrin/day as the prebiotic placebo for 12 weeks
Vitamin D3: High-dose vitamin D3 50,000 IU /week for 12 weeks
Placebo Inulin: Corn-derived maltodextrin 12g/day as the prebiotic placebo for 12 weeks | 8 |
| Placebo Vitamin D3 and Inulin Matching to Vitamin D3 placebo capsules, and 12 g/day chicory-derived prebiotic inulin for 12 weeks
Placebo vitamin D3: Matching to Vitamin D3 placebo capsules for 12 weeks
Inulin: Chicory-derived prebiotic inulin 12 g/day for 12 weeks | 7 |
| Placebo Vitamin D3 and Placebo Inulin Matching to Vitamin D3 placebo capsules, and 12 g/day corn-derived maltodextrin/day as the prebiotic placebo for 12 weeks
Placebo vitamin D3: Matching to Vitamin D3 placebo capsules for 12 weeks
Placebo Inulin: Corn-derived maltodextrin 12g/day as the prebiotic placebo for 12 weeks | 9 |
| Total | 31 |
Baseline characteristics
| Characteristic | Vitamin D3 and Inulin | Total | Placebo Vitamin D3 and Placebo Inulin | Placebo Vitamin D3 and Inulin | Vitamin D3 and Placebo Inulin |
|---|---|---|---|---|---|
| Age, Continuous | 29.3 years STANDARD_DEVIATION 5.4 | 33.1 years STANDARD_DEVIATION 11.9 | 34.4 years STANDARD_DEVIATION 14.2 | 39.6 years STANDARD_DEVIATION 15.6 | 29.3 years STANDARD_DEVIATION 7.9 |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Asian | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Black or African American | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) More than one race | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 0 Participants | 2 Participants | 2 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) White | 7 Participants | 29 Participants | 7 Participants | 7 Participants | 8 Participants |
| Region of Enrollment United States | 7 participants | 31 participants | 9 participants | 7 participants | 8 participants |
| Sex: Female, Male Female | 1 Participants | 13 Participants | 4 Participants | 5 Participants | 3 Participants |
| Sex: Female, Male Male | 6 Participants | 18 Participants | 5 Participants | 2 Participants | 5 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk | EG002 affected / at risk | EG003 affected / at risk |
|---|---|---|---|---|
| deaths Total, all-cause mortality | 0 / 7 | 0 / 8 | 0 / 7 | 0 / 9 |
| other Total, other adverse events | 0 / 7 | 0 / 8 | 0 / 7 | 0 / 9 |
| serious Total, serious adverse events | 0 / 7 | 0 / 8 | 0 / 7 | 0 / 9 |
Outcome results
Change in Species Richness Index From Baseline
Stool microbiota analysis will be measured using this ecological diversity measure. Stool samples will be collected using a stool kit provided to the participant.
Time frame: Baseline, 12 weeks post-intervention
Population: Stool and serum samples were not collected due to Emory operations being disrupted due to COVID pandemic.
Shannon Index
The Shannon Index is a measure of diversity of microbial species that takes into account both abundance (the number of species present) and evenness (how close the numbers for each species are). The Shannon index can be calculated using the following equation: H= -∑(i=1)\^s pi ln(pi). A value of zero for H indicates that a community has only one species. The higher the value of H, the higher the diversity of species in a particular community. Sputum microbiota analysis was measured using this ecological diversity measure. Sputum samples were collected via a sputum kit.
Time frame: Baseline, 12 weeks post-intervention
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Vitamin D3 and Inulin | Shannon Index | 12 weeks post-intervention | 5.02 Shannon index | Standard Deviation 0.392 |
| Vitamin D3 and Inulin | Shannon Index | Baseline | 5.02 Shannon index | Standard Deviation 0.392 |
| Vitamin D3 and Placebo Inulin | Shannon Index | Baseline | 4.96 Shannon index | Standard Deviation 0.165 |
| Vitamin D3 and Placebo Inulin | Shannon Index | 12 weeks post-intervention | 5.05 Shannon index | Standard Deviation 0.169 |
| Placebo Vitamin D3 and Inulin | Shannon Index | 12 weeks post-intervention | 5.24 Shannon index | Standard Deviation 0.229 |
| Placebo Vitamin D3 and Inulin | Shannon Index | Baseline | 5.28 Shannon index | Standard Deviation 0.196 |
| Placebo Vitamin D3 and Placebo Inulin | Shannon Index | 12 weeks post-intervention | 5.41 Shannon index | Standard Deviation 0.097 |
| Placebo Vitamin D3 and Placebo Inulin | Shannon Index | Baseline | 5.73 Shannon index | Standard Deviation 0.081 |
Change in GI Microbiota Composition
Changes in GI microbiota composition will be determined using 16S rRNA gene sequencing and microbiome-dependent metabolites pathways in stool and plasma using high-resolution metabolomics analysis.Changes in GI microbiota composition will be reported as a percentage of bacteria.
Time frame: Baseline, 12 weeks post-intervention
Population: Stool and serum samples were not collected due to Emory operations being disrupted due to COVID pandemic.
Change in GI Microbiota Diversity
Changes in GI microbiota diversity will be determined using 16S rRNA gene sequencing and microbiome-dependent metabolites pathways in stool and plasma using high-resolution metabolomics analysis.Changes in GI microbiota diversity will be reported as the Shannon Index.
Time frame: Baseline, 12 weeks post-intervention
Population: Stool and serum samples were not collected due to Emory operations being disrupted due to COVID pandemic.
Change in GI Microbiota Richness
Changes in GI microbiota richness will be determined using 16S rRNA gene sequencing and microbiome-dependent metabolites pathways in stool and plasma using high-resolution metabolomics analysis.Changes in GI microbiota richness will be reported as a number of populations of microorganisms.
Time frame: Baseline, 12 weeks post-intervention
Population: Stool and serum samples were not collected due to Emory operations being disrupted due to COVID pandemic.