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N/A N=22 Triple-blind Prevention

PREMIER: PREvention of Metabolic Illness Through prEcision nutRition

Obesity · Type 2 Diabetes · Metabolic Syndrome · Diet Habit · Nutritional and Metabolic Disease

Enrolled (actual)
22
Serious AEs
0.0%
Results posted
Jun 2025
Primary outcome: Primary: Glucose at Times 30min, 60min, 120min, 180min — 112.9; 119.8; 94.5; 118.4 mg/dL

Study Design & Population

Study type
Interventional
Phase
N/A
Interventions
Dietary intervention (Other)
Age
Adult, Older Adult · 21+ yrs
Sex
All
Sponsor
Massachusetts General Hospital
Primary completion
Sep 2024

Outcome Measures

OutcomeResultp-value
PRIMARY
Glucose at Times 30min, 60min, 120min, 180min
112.9; 119.8; 94.5; 118.4; 84.1; 94.1
PRIMARY
High-fat Meal Preference
8; 3
SECONDARY
Metabolomics by Mass Spectrometry Analysis (Reported as Fold Change in Metabolites From Baseline)
10.4; 4.2; 6.7; 3.9

Summary

Dietary intake is a major driving force behind the escalating obesity and type 2 diabetes epidemics. Large, high-quality clinical trials have shown that close adherence to healthy dietary recommendations significantly reduce the incidence of obesity and type 2 diabetes, especially among people at increased risk. However, large inter-individual variability exists in response to dietary interventions. To inform more effective obesity and type 2 diabetes prevention strategies, it is crucial to better understand the biological, environmental, and social factors that influence how people interact and respond to specific foods. In a recent large-scale genome-wide association study, our research team has identified 96 genomic regions associated with overall variation in dietary intake. This study provided evidence that inherited molecular differences are likely to impact on food intake (i.e., preference for certain foods) and metabolic homeostasis (i.e., glucose regulation). Connecting knowledge about human genetic variants with information from circulating metabolites can be particularly useful in understanding the mechanisms by which some people experience a detrimental response to specific foods. The specific objective of the PREMIER study is to carry out an interventional dietary study to measure the response of blood glucose and other biomarkers to a standardized meal, and evaluate the extent to which food choices differ among individuals with distinct genetic susceptibility.

Eligibility Criteria

Inclusion Criteria

  • Male or female.
  • 21-65 years of age.
  • Body mass index (BMI) between 18.5 and 30.0 kg/m2.
  • Healthy (free of diagnosed diseases listed in the exclusion criteria).
  • Willing to comply with the study intervention.
  • Able to provide informed consent

Exclusion Criteria

  • Refuse or are unable to give informed consent to participate in the study.
  • Have type I or type II diabetes mellitus or are taking medications for type II diabetes mellitus. Those not on medications but having a capillary glucose level of >126 mg/dL based on fingertip glucose measurements will be excluded.
  • Are obese (BMI>30.0kg/m2) or underweight (BMI<18.5kg/m2).
  • Have had a heart attack (myocardial infarction) or stroke
  • Have had cancer in the last 3 years, excluding skin cancer.
  • Have an ongoing inflammatory disease i.e. Rheumatoid arthritis, systemic lupus erythematosus, polymyalgia and other connective tissue diseases.
  • History of cirrhosis and/or aspartate aminotransferase (AST) or alanine aminotransferase (ALT) more than 3 times the upper limit of normal (ULN).
  • Are currently suffering from acute clinically diagnosed depression.
  • Currently taking or intending to take during the study duration any medication known to affect glycemic parameters, such as glucocorticoids or fluoroquinolones.
  • Are unable to fast from 9pm the night before the clinic visit until 9am on the clinic day
  • Are pregnant or breastfeeding.
  • Are participating in another clinical study.
  • Are vegan, suffering from an eating disorder or unwilling to eat foods that are part of the study.
View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT04148482). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.

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