This study aims to investigate the impact of replacing meat consumption with plant-based meat alternative consumption on cardiovascular health, the gut microbiome, and metabolic status.
Plant-based meat alternatives that closely emulate animal protein provide a new opportunity to decrease meat consumption worldwide. Decreasing meat consumption and shifting to a plant-based diet has been linked to improvements in physical health, including decreased risk of cardiovascular disease, metabolic syndrome, and type 2 diabetes (Kahleova, Levin, \& Barnard, 2017). However, the extent to which plant-based meat alternatives specifically can modulate biomarkers of physical health, particularly TMAO and IGF-1, and the gut microbiome remain relatively unexplored. It is also largely unknown to what extent consumers can feasibly and sustainably exchange meat products for plant-based meat alternatives for extended periods of time. Plant-based meat alternatives offer a promising way to support consumers' shift to a plant-based diet, and in turn, to potentially improve levels of TMAO and IGF-1 and decrease cardiovascular risk. Thus, the investigators hypothesize that consumer levels of TMAO and IGF-1 will be improved after 8 weeks of consuming plant-based meat alternative products, as compared to 8 weeks of consuming traditional meat products.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
DOUBLE
Enrollment
38
Traditional meat products (beef burger patties, pork sausage, etc.)
Plant-based alternatives (The Beyond Burger, Beyond Sausage, etc.)
Stanford University
Stanford, California, United States
Trimethylamine N-oxide (TMAO).
Change from baseline in TMAO at 8 weeks.
Time frame: Baseline and 8 weeks
Insulin-like Growth Factor-1 (IGF-1)
Change from baseline in IGF-1 at 8 weeks.
Time frame: Baseline and 8 weeks
Microbiota composition
Change from baseline in alpha diversity at 8 weeks of each phase. We will be using 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. Higher alpha diversity is better. The units are the # of sequence variants.
Time frame: Baseline and 8 weeks
Microbiota function
Change from baseline in composite of short-chain fatty acids (SCFA) concentration (ug/g stool: acetate + propionate + butyrate) at 8 weeks of each phase.
Time frame: Baseline and 8 weeks
Total Cholesterol
Change from baseline in total cholesterol at 8 weeks of each phase.
Time frame: Baseline and 8 weeks
LDL Cholesterol
Change from baseline in LDL cholesterol at 8 weeks of each phase.
Time frame: Baseline and 8 weeks
HDL Cholesterol
Change from baseline in HDL cholesterol at 8 weeks of each phase.
Time frame: Baseline and 8 weeks
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Triglycerides
Change from baseline in triglycerides at 8 weeks of each phase.
Time frame: Baseline and 8 weeks
Fasting glucose
Change from baseline in fasting glucose at 8 weeks of each phase.
Time frame: Baseline and 8 weeks
Fasting insulin
Change from baseline in fasting insulin at 8 weeks of each phase.
Time frame: Baseline and 8 weeks
Weight
Change from baseline in weight at 8 weeks of each phase.
Time frame: Baseline and 8 weeks
Waist circumference
Change from baseline in weight at 8 weeks of each phase.
Time frame: Baseline and 8 weeks
Blood pressure
Change from baseline in blood pressure at 8 weeks of each phase.
Time frame: Baseline and 8 weeks