Diabetes Clinical Trial
Official title:
Influence of Cannabidiol on Glucose Tolerance and The Gut Microbiota
Verified date | May 2024 |
Source | Colorado State University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
While many empirical projects have described multiple potential health benefits of CBD, the potential for CBD to provide protection against the development of diabetes via favorable modification of the gut microbiota has received relatively less attention. We hope to learn if CBD can improve glucose tolerance and the gut microbiota, and if these two improvements might be related.
Status | Active, not recruiting |
Enrollment | 30 |
Est. completion date | May 31, 2024 |
Est. primary completion date | March 9, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - 18 years of age and older - Weight more than 110 pounds - Have a Body Mass Index greater than or equal to 25 kilograms/squared meters - Free of gastrointestinal or metabolic diseases - Sedentary (less than 150 minutes of moderate-intensity exercise per week during the previous 3 months) Exclusion Criteria: - Less than 18 years of age - Pregnant or breastfeeding - Have known food allergies - Have been diagnosed with any autoimmune disorders or with compromised immune function - Celiac disease - Inflammatory bowel diseases - Gastrointestinal cancers - Diabetes - Human Immunodeficiency Virus - Adverse reaction to ingesting CBD oils, or CBD containing food products - Taking any of the following medications will be excluded as these may have negative interactions with CBD: - steroids, - 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors, - calcium channel blockers, - antihistamines, - human immunodeficiency virus antivirals - immune modulators, - benzodiazepines, - antiarrythmics, - antibiotics, - anesthetics, - antipsychotics, - antidepressants, - anti-epileptics, - beta blockers, - coumadin (warfarin), - proton pump inhibitors, - non-steroidal anti-inflammatory drugs, - angiotension II blockers, - oral hypoglycemic agents, - sulfonylureas. |
Country | Name | City | State |
---|---|---|---|
United States | Colorado State University, Dept. of Health and Exercise Science | Fort Collins | Colorado |
Lead Sponsor | Collaborator |
---|---|
Christopher Bell | Caliper Foods |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Circulating blood glucose | Measurements of circulating blood glucose during an Oral Glucose Tolerance Tests via a blood analyzer | Compared to baseline after 4 weeks of the intervention | |
Primary | Circulating blood insulin | Measurements of circulating insulin during an Oral Glucose Tolerance Tests via a blood analyzer | Compared to baseline after 4 weeks of the intervention | |
Primary | Hepatic Insulin Extraction | Measurements of C-Peptide concentration via ELISA Assays | Compared to baseline after 4 weeks of the intervention | |
Primary | Tissue oxygenation | Measurement of tissue oxygenation via Near-Infrared Spectroscopy (NIRS) | Compared to baseline after 4 weeks of the intervention | |
Primary | Reactive hyperemia | Measurement of reactive hyperemia via doppler ultrasound | Compared to baseline after 4 weeks of the intervention | |
Primary | Shannon and Faith's microbiota diversity scores in feces | Assessed via 16s ribosomal ribonucleic acid microbial profiling | Compared to baseline after 4 weeks of the intervention | |
Primary | B-diversity scores for all fecal samples to assess clustering | Assessed via 16s ribosomal ribonucleic acid microbial profiling | Compared to baseline after 4 weeks of the intervention | |
Primary | Differentially abundant microbiota in feces of collected during treatment | Assessed via 16s ribosomal ribonucleic acid microbial profiling | Compared to baseline after 4 weeks of the intervention | |
Primary | Abundant microbiota to markers in feces | Assessed via Linear discriminant analysis Effect Size algorithm | Compared to baseline after 4 weeks of the intervention | |
Primary | Human Granulocyte Macrophage Colony-Stimulating Factor | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interferon gamma | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 1 beta | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 2 | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 4 | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 5 | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 6 | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 7 | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 8 | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 10 | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 12 (p70) | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Interleukin 13 | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | Tumor Necrosis Factor alpha | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention | |
Primary | High-sensitivity C-reactive protein | Assessed via 13-plex human T-cell cytokine panel | Compared to baseline after 4 weeks of the intervention |
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