Stanford University
Stanford, California, 94305, United States
NCT Number: NCT05297825
This study is designed to investigate the health impact of a vegan diet compared to a usual, omnivorous diet. The investigators plan to study these diets in twins, where one twin follows a vegan diet and the other twin follows an omnivorous diet, thus the investigators control for genetic differences that might impact the effect of the diet.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Stanford, California, 94305, United States
During this study, the investigators will evaluate the nutrient intake in both the vegan and the omnivorous diet. The investigators will also measure physiologic markers of health such as lipid levels, HbA1C, heart rate, and weight, and they will also look at the effect of the diets on the microbiota. In addition to measuring the effect of the diet, the investigators will monitor adherence to the diet, and survey participants on the ease/difficulty in following a vegan diet as well as their energy levels and sense of wellbeing. Thus, this study will help us better understand the health impact and feasibility of following a vegan diet. These results will be of much interest to the general public and the health care professionals.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Healthy vegan diet.
Healthy omnivore diet.
Time frame: Baseline and 8 weeks
Difference in the 8-week change-from-baseline in LDL cholesterol between the vegan vs. omnivore diet groups
Time frame: Baseline and 8 weeks
Difference in the 8-week change-from-baseline in triglycerides between the vegan vs. omnivore diet groups
Time frame: Baseline and 8 weeks
Difference in the 8-week change-from-baseline in inflammatory markers detected in blood samples between the vegan vs. omnivore diet groups.
Time frame: Baseline and 8 weeks
Change from baseline in alpha diversity at 8 weeks in the vegan and omnivore diet groups. We will be using the number of observed sequence variants ("species") determined by standard 16S rRNA amplicon sequencing (V3-V5 region followed by DADA2 to define error-corrected sequence variants) as our primary metric of alpha diversity. We will also determine whether there is a change in observed sequence variants between the two groups. Higher alpha diversity is better. The units are the number of sequence variants.
Stanford University
Other
Acronym: TwiNS
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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