Cardiovascular Diseases Clinical Trial
Official title:
Response of Cardiometabolic Biomarkers and Gut Microbiota to Walnut Consumption
| Verified date | June 2024 |
| Source | University of California, Davis |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
The purpose of this research is to test if eating walnuts will cause any changes in blood lipids (like good and bad cholesterol, for example) and levels of inflammation in the blood, as well as changes in the bacteria living in the gut.
| Status | Active, not recruiting |
| Enrollment | 30 |
| Est. completion date | December 2024 |
| Est. primary completion date | June 11, 2024 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 45 Years to 70 Years |
| Eligibility | Inclusion Criteria: - Overweight and obese men and postmenopausal women between 45-70 years of age, BMI range of 25.0-39.9 kg/m2 and elevated LDL-C levels (130-189 mg/dL). Exclusion Criteria: - Adults unable to consent, individuals who are not yet adults (infants, children, teenagers), pregnant or lactating women, women planning to become pregnant in the next four months and prisoners will be specifically excluded. Additional exclusion criteria are listed below: - Allergy to walnuts or other nuts - Eating more than 25 grams of fiber per day, assessed by the Block Dietary-Fruit-Vegetable-Fiber Screener© - Taking medications or supplements known to affect metabolism or gut microbiota composition (i.e. Metformin, statins, antibiotics within the past 3 months, fiber supplements, probiotics, and others) - Documented chronic diseases including diabetes, renal or liver disease, metabolic syndrome, active cancer, MI or stroke, history of gastric bypass or GI disease (e.g. Crohn's Disease, Irritable Bowel Disease, diverticulosis, diverticulitis, etc.) - Smoker or living with a smoker, including vaporizer and/or electronic cigarettes. - Illicit drug use, cannabis usage, or consuming >1 alcoholic drink/day - Extreme dietary or exercise patterns - Recent weight fluctuations (>10% in the last 6 months) - Taking prescription lipid medications or supplements that may affect lipoprotein metabolism (i.e. >1 g of fish oil/day, antioxidant supplements) - Taking exogenous hormones - Poor venous access - Unwillingness to comply with study protocols |
| Country | Name | City | State |
|---|---|---|---|
| United States | Ragle Human Nutrition Center | Davis | California |
| Lead Sponsor | Collaborator |
|---|---|
| University of California, Davis |
United States,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Other | Food record analysis | Use a computer program to check for study dietary requirements. Subjects are to avoid olives and olive containing products during study protocol periods. This will be done using a subject self-recorded 3-day food record submitted to study personnel. | Through study completion, an average of 10 weeks | |
| Other | Anthropometric measurements | Measure waist (cm) and hip circumference (cm) before the start of drawing blood on study day protocols. | Through study completion, an average of 10 weeks | |
| Other | Measure of changes in weight | Measure weight (kg) before the start of drawing blood on study day protocols. | Through study completion, an average of 10 weeks | |
| Primary | Assessing the influence of walnut consumption on blood lipid measurements. | Measure for changes in the levels of HDL and LDL in separated plasma; measured in units of mg/dL. Blood will be assessed for the fasting (baseline) sample at each of the 4 study visits. | Through study completion, an average of 10 weeks | |
| Primary | Assessing the influence of walnut consumption on circulating inflammatory markers: PAI-1, VCAM-1 and ICAM-1. | Measure circulating inflammatory markers in separated plasma at each of the 4 study visits. Commercially available ELISA kits will be used: PAI-1, VCAM-1, ICAM-1. | Through study completion, an average of 10 weeks | |
| Primary | Assessing the influence of walnut consumption on blood pressure. | Measure blood pressure (mmHg) before the start of drawing blood on study day protocols. | Through study completion, an average of 10 weeks | |
| Secondary | Assessing the influence of walnut consumption on fecal pH. | Measure fecal pH via pH meter at each of the 4 study visits. | Through study completion, an average of 10 weeks | |
| Secondary | Assessing the influence of walnut consumption on stool consistency. | Assess fecal consistency using Bristol Stool Scale at each of the 4 study visits. The scale runs from Type 1 (the lowest) to Type 7 (the highest). The desirable Type is either 3 or 4. Types 1 and 2 may be indicative of constipation, while Types 5, 6, and 7 may indicative diarrhea. | Through study completion, an average of 10 weeks | |
| Secondary | Assessing the influence of walnut consumption on fecal moisture. | Measure fecal moisture by weighing wt and vacuum dried feces in grams at each of the 4 study visits. | Through study completion, an average of 10 weeks | |
| Secondary | Assessing the influence of walnut consumption on the levels of gut inflammatory markers: Lipocalin-2 and calprotectin. | Measure fecal levels of Lipocalin-2 and calprotectin at each of the 4 study visits. Commercially available ELISA kits will be used: lipocalin-2, calprotectin. | Through study completion, an average of 10 weeks | |
| Secondary | Assessing the influence of walnut consumption on plasma and urine levels of walnut-derived metabolites - urolithins. | Measure urolithin levels in separated plasma and urine via metabolomics analysis at each of the 4 study visits. | Through study completion, an average of 10 weeks |
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