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SWAP-MEAT: Study With Appetizing Plant Food - Meat Eating Alternatives Trial

Not Applicable
Completed
Conditions
Immune Function
Microbiome
Cardiovascular Diseases
Registration Number
NCT03718988
Lead Sponsor
Stanford University
Brief Summary

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.

Detailed Description

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.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
38
Inclusion Criteria
  • Age ≥18
  • Meat consumption (beef, pork/sausage, chicken) on average ≥ once a day
  • Willing to consume meat (beef, pork/sausage, chicken) ≥ 2 times a day
Exclusion Criteria
  • Weight < 110 lb

  • BMI ≥ 40

  • LDL-C >190 mg/dL

  • Systolic blood pressure (SBP) > 160 mmHg OR Diastolic blood pressure (DBP) > 90 mmHg

  • Use of any of the following drugs/supplements within the last 2 months:

    • systemic antibiotics, antifungals, antivirals or antiparasitics (intravenous, intramuscular, or oral);
    • corticosteroids (intravenous, intramuscular, oral, nasal or inhaled);
    • cytokines;
    • methotrexate or immunosuppressive cytotoxic agents;
  • Chronic, clinically significant, or unstable (unresolved, requiring on-going changes to medical management or medication) pulmonary, cardiovascular, gastrointestinal, hepatic or renal functional abnormality, as determined by medical history, Type 1 diabetes, dialysis.

  • History of active cancer in the past 3 years except for squamous or basal cell carcinomas of the skin that have been medically managed by local excision.

  • Unstable dietary history as defined by major changes in diet during the previous month, where the subject has eliminated or significantly increased a major food group in the diet.

  • Recent history of chronic excessive alcohol consumption defined as more than five 1.5-ounce servings of 80 proof distilled spirits, five 12-ounce servings of beer or five 5-ounce servings of wine per day; or > 14 drinks/week.

  • Any confirmed or suspected condition/state of immunosuppression or immunodeficiency (primary or acquired) including HIV infection, multiple sclerosis and Graves' disease.

  • Regular/frequent use of smoking or chewing tobacco, e-cigarettes, cigars or other nicotine-containing products.

  • Regular use of prescription opiate pain medication

Study & Design

Study Type
INTERVENTIONAL
Study Design
CROSSOVER
Primary Outcome Measures
NameTimeMethod
Trimethylamine N-oxide (TMAO).Baseline and 8 weeks

Change from baseline in TMAO at 8 weeks.

Secondary Outcome Measures
NameTimeMethod
Microbiota compositionBaseline and 8 weeks

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.

LDL CholesterolBaseline and 8 weeks

Change from baseline in LDL cholesterol at 8 weeks of each phase.

Fasting glucoseBaseline and 8 weeks

Change from baseline in fasting glucose at 8 weeks of each phase.

Fasting insulinBaseline and 8 weeks

Change from baseline in fasting insulin at 8 weeks of each phase.

Total CholesterolBaseline and 8 weeks

Change from baseline in total cholesterol at 8 weeks of each phase.

WeightBaseline and 8 weeks

Change from baseline in weight at 8 weeks of each phase.

Blood pressureBaseline and 8 weeks

Change from baseline in blood pressure at 8 weeks of each phase.

Waist circumferenceBaseline and 8 weeks

Change from baseline in weight at 8 weeks of each phase.

Insulin-like Growth Factor-1 (IGF-1)Baseline and 8 weeks

Change from baseline in IGF-1 at 8 weeks.

Microbiota functionBaseline and 8 weeks

Change from baseline in composite of short-chain fatty acids (SCFA) concentration (ug/g stool: acetate + propionate + butyrate) at 8 weeks of each phase.

TriglyceridesBaseline and 8 weeks

Change from baseline in triglycerides at 8 weeks of each phase.

HDL CholesterolBaseline and 8 weeks

Change from baseline in HDL cholesterol at 8 weeks of each phase.

Trial Locations

Locations (1)

Stanford University

🇺🇸

Stanford, California, United States

Stanford University
🇺🇸Stanford, California, United States

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