Cardiovascular Diseases Clinical Trial
Official title:
Cardio-vascular Protective Effects of Wolfberry in Middle-aged and Older Adults
NCT number | NCT03535844 |
Other study ID # | S2 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | August 6, 2018 |
Est. completion date | September 26, 2019 |
Verified date | April 2020 |
Source | National University, Singapore |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This purpose of this study is to assess the impact of consuming wolfberry on cardiovascular risk in Singapore's middle-aged and older adults. The investigators hypothesize that consuming wolfberry with a healthy eating pattern diet will contribute to improvements in cardiovascular health when compared to a similar diet without wolfberry.
Status | Completed |
Enrollment | 41 |
Est. completion date | September 26, 2019 |
Est. primary completion date | September 26, 2019 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 50 Years to 75 Years |
Eligibility |
Inclusion Criteria: 1. Ability to give an informed consent 2. Age 50 to 75 years 3. Willing to follow the study procedures Exclusion Criteria: 1. Significant change in weight (± 5% body weight) during the past 3 months 2. Allergy to wolfberry 3. Acute illness at the study baseline 4. Exercising vigorously over the past 3 months 5. Consistently following healthy eating pattern diet in the past 3 months 6. Smoking 7. Have an average weekly alcohol intake that above 21 units per week (males) and 14 units per week (females): 1 unit = 360 mL of beer; 150 mL of wine; 45 mL of distilled spirits) 8. Pregnant, lactating, or planning pregnancy in the next 6 months 9. Taking dietary supplements which may impact the outcome of interests (e.g. vitamin supplements, antioxidant supplement etc.) 10. Prescribed and taking antihypertensive/cholesterol-lowering/ type-2 diabetic medication which started less than 5 years prior to the intervention participation 11. Insufficient venous access to allow the blood collection |
Country | Name | City | State |
---|---|---|---|
Singapore | National University Hospital | Singapore | |
Singapore | National University of Singapaore | Singapore |
Lead Sponsor | Collaborator |
---|---|
National University, Singapore | Ministry of Education, Singapore, National University Hospital, Singapore |
Singapore,
Cheng CY, Chung WY, Szeto YT, Benzie IF. Fasting plasma zeaxanthin response to Fructus barbarum L. (wolfberry; Kei Tze) in a food-based human supplementation trial. Br J Nutr. 2005 Jan;93(1):123-30. — View Citation
de Souza Zanchet MZ, Nardi GM, de Oliveira Souza Bratti L, Filippin-Monteiro FB, Locatelli C. Lycium barbarum Reduces Abdominal Fat and Improves Lipid Profile and Antioxidant Status in Patients with Metabolic Syndrome. Oxid Med Cell Longev. 2017;2017:9763210. doi: 10.1155/2017/9763210. Epub 2017 Jun 8. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in Lipidomic Profiles | The main classes of lipids in the cell membrane | Pre- and post-intervention (Week 16) | |
Primary | Change in Carotid Intima Media Thickness | Carotid intima media thickness measured using high-frequency ultrasonographic imaging | Pre- and post-intervention (Week 16) | |
Primary | Change in Endothelial Progenitor Cells | Quantity and quality of circulating endothelial progenitor cells | Pre- and post-intervention (Week 16) | |
Primary | Change in Flow Mediated Dilation | Brachial artery flow mediated dilation measured using high-frequency ultrasonographic imaging | Pre- and post-intervention (Week 16) | |
Primary | Change in Plasma Nitric Oxide | Concentrations of plasma total nitrate/nitrite using commercially available ELISA assay kits. | Pre- and post-intervention (Week 16) | |
Primary | Change in Blood Carotenoid Status | Fasting state plasma carotenoids using high performance liquid chromatography. | Pre- and post-intervention (Week 16) | |
Primary | Change in Plasma Endothelin-1 | Concentrations of plasma endothelin-1 using commercially available ELISA assay kits. | Pre- and post-intervention (Week 16) | |
Primary | Change in Plasma ICAM-1 | Concentrations of plasma intercellular adhesion molecule-1 using commercially available ELISA assay kits. | Pre- and post-intervention (Week 16) | |
Secondary | Change in Blood Lipid-lipoprotein Concentrations | Total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and total triglyceride | Assessed at week 0, week 4, week 8, week 12 and week 16, week 0 and 16 reported | |
Secondary | Change in Blood Pressure | Both systolic and diastolic blood pressure | Assessed at week 0, week 4, week 8, week 12 and week 16, week 0 and 16 reported | |
Secondary | Change in Oxidative Stress-related Biomarkers | Concentrations of plasma biomarkers of oxidative stress. | Pre- and post-intervention (Week 16) | |
Secondary | Change in Body Composition | Dual-energy X-ray absorptiometry | Pre- and post-intervention (Week 16) | |
Secondary | Change in Skin Carotenoid Status | Measured using resonance Raman spectroscopy to obtain a skin carotenoid status, a score which ranges from 10000 to 89000. Higher score represents higher concentration of carotenoids in skin, hence, an improved outcome | Assessed at week 0, week 4, week 8, week 12 and week 16, week 0 and 16 reported | |
Secondary | Body Mass Index | (body mass) divided by (height x height) | Assessed at week 0, week 4, week 8, week 12 and week 16, week 0 and 16 reported | |
Secondary | Change in Waist Circumference | Measurement of waist circumference using World Health Organization guidelines | Assessed at week 0, week 4, week 8, week 12 and week 16, week 0 and 16 reported | |
Secondary | Change in Appetite | A subjective visual analogue scale consisting of a 100 mm line for each term (1) hunger; (2) fullness; (3) desire to eat; (4) prospective food consumption. Subjects respond by placing a mark on the line that is anchored with an extreme answer at either end (e.g. "not felt at all" and "felt the greatest") A composite appetite score is computed by: (hunger + desire to eat + (100 - fullness) + prospective food consumption) divided by 4. With a maximum score of 400 for the greatest possible appetite (represented by hunger = 100; desire to eat = 100; fullness = 0 and prospective food consumption = 100) and a minimum score of 0 (represented by hunger = 0; desire to eat = 0; fullness = 100 and prospective food consumption = 0) |
Assessed at week 0, week 4, week 8, week 12 and week 16, week 0 and 16 reported | |
Secondary | Dietary Carotenoids | Analysis of dietary carotenoids using 3-day food records | Pre- and post-intervention (Week 16) | |
Secondary | Change in Sleep Quality | Measured using The Pittsburgh Sleep Quality Index (PSQI) and sleep evaluation questionnaire | Pre- and post-intervention (Week 16) | |
Secondary | Change in Cognitive Function | Measured using Montreal cognitive assessment (MOCA) | Pre- and post-intervention (Week 16) |
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