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PREMIER: PREvention of Metabolic Illness Through prEcision nutRition

PREMIER: PREvention of Metabolic Illness Through prEcision nutRition

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04148482
Acronym
PREMIER
Enrollment
22
Registered
2019-11-01
Start date
2021-06-17
Completion date
2024-09-19
Last updated
2025-07-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diet Habit, Food Preferences, Metabolic Syndrome, Nutritional and Metabolic Disease, Obesity, Type 2 Diabetes

Brief 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.

Interventions

OTHERDietary intervention

To investigate whether individuals with divergent genetic susceptibility have different food preferences and have differential post-prandial glycemic and metabolomics responses to a standardized or an election meal.

Sponsors

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
CollaboratorNIH
NORCH (Nutrition Obesity Research Center at Harvard)
CollaboratorUNKNOWN
Boston Area Diabetes Endocrinology Research Center
CollaboratorUNKNOWN
Massachusetts General Hospital
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
FACTORIAL
Primary purpose
PREVENTION
Masking
TRIPLE (Subject, Caregiver, Outcomes Assessor)

Intervention model description

This is a recall-by-genotype study

Eligibility

Sex/Gender
ALL
Age
21 Years to 65 Years
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Glucose at Times 30min, 60min, 120min, 180minDay 1Measurement of blood glucose at regular intervals.
High-fat Meal PreferenceDay 1Number of participants with preference for a high-fat meal.

Secondary

MeasureTime frameDescription
Metabolomics by Mass Spectrometry Analysis (Reported as Fold Change in Metabolites From Baseline)Day 1Investigators will perform metabolomic profiling of plasma samples at regular intervals by using both targeted and untargeted approaches on an existing platform that measures \ 10,000 metabolites (both polar and non-polar); they will compare their relative concentrations (fold change) by genotype at selected loci before and after the interventions. Metabolomics will be performed using LC-MS techniques in the Clish Laboratory of the Broad Institute of MIT and Harvard (Cambridge, MA). Fold-change in metabolite values (from 0-\>120, 0-\>240, and 240-\>360 minutes) will be statistically analyzed to identify distinct patterns of metabolite change in response to mixed meals by genotype. Examples of metabolomic fold-change readouts are provided below, by genotype - limited examples are provided as fold-change reporting for \ 10,000 metabolites, identified and unidentified, at 3 time points would be impracticable.

Other

MeasureTime frameDescription
Previously Proposed Outcomes: Hunger Perception, Incretin Levels by Immunoassay Kit, Satiety Hormonesbaseline, 120min, 240min, 360minAlthough these outcomes were initially proposed/intended, insufficient funds were available to collect or analyze these measures, and they were not ultimately collected.

Countries

United States

Participant flow

Participants by arm

ArmCount
Genotype of Interest Group
Individuals with desired genetic susceptibility will receive a standardized and an election meal in a full-day clinic visit. Dietary intervention: To investigate whether individuals with divergent genetic susceptibility have different food preferences and have differential post-prandial glycemic and metabolomics responses to a standardized or an election meal.
12
Control
Individuals without genotype of interest (i.e., carrying the opposite genotype) will receive a standardized and an election meal in a full-day clinic visit. Dietary intervention: To investigate whether individuals with divergent genetic susceptibility have different food preferences and have differential post-prandial glycemic and metabolomics responses to a standardized or an election meal.
10
Total22

Baseline characteristics

CharacteristicGenotype of Interest GroupTotalControl
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
1 Participants4 Participants3 Participants
Age, Categorical
Between 18 and 65 years
11 Participants18 Participants7 Participants
Age, Continuous55.2 years
STANDARD_DEVIATION 8.9
56.2 years
STANDARD_DEVIATION 8.5
57.5 years
STANDARD_DEVIATION 8.3
Ethnicity (NIH/OMB)
Hispanic or Latino
1 Participants1 Participants0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
11 Participants21 Participants10 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Glucose at time 081.9 mg/dL
STANDARD_DEVIATION 11.7
83.6 mg/dL
STANDARD_DEVIATION 10.2
85.6 mg/dL
STANDARD_DEVIATION 8.3
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Black or African American
0 Participants1 Participants1 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants1 Participants1 Participants
Race (NIH/OMB)
White
12 Participants20 Participants8 Participants
Region of Enrollment
United States
12 participants22 participants10 participants
Sex: Female, Male
Female
7 Participants14 Participants7 Participants
Sex: Female, Male
Male
5 Participants8 Participants3 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 120 / 10
other
Total, other adverse events
0 / 120 / 10
serious
Total, serious adverse events
0 / 120 / 10

Outcome results

Primary

Glucose at Times 30min, 60min, 120min, 180min

Measurement of blood glucose at regular intervals.

Time frame: Day 1

ArmMeasureGroupValue (MEAN)Dispersion
Genotype of Interest GroupGlucose at Times 30min, 60min, 120min, 180min120min84.1 mg/dLStandard Deviation 22.5
Genotype of Interest GroupGlucose at Times 30min, 60min, 120min, 180min180min80.8 mg/dLStandard Deviation 12.5
Genotype of Interest GroupGlucose at Times 30min, 60min, 120min, 180min30min112.9 mg/dLStandard Deviation 19.3
Genotype of Interest GroupGlucose at Times 30min, 60min, 120min, 180min60min94.5 mg/dLStandard Deviation 24.1
ControlGlucose at Times 30min, 60min, 120min, 180min60min118.4 mg/dLStandard Deviation 34.3
ControlGlucose at Times 30min, 60min, 120min, 180min120min94.1 mg/dLStandard Deviation 10.9
ControlGlucose at Times 30min, 60min, 120min, 180min30min119.8 mg/dLStandard Deviation 15.6
ControlGlucose at Times 30min, 60min, 120min, 180min180min81.9 mg/dLStandard Deviation 9.4
Primary

High-fat Meal Preference

Number of participants with preference for a high-fat meal.

Time frame: Day 1

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Genotype of Interest GroupHigh-fat Meal Preference8 Participants
ControlHigh-fat Meal Preference3 Participants
Secondary

Metabolomics by Mass Spectrometry Analysis (Reported as Fold Change in Metabolites From Baseline)

Investigators will perform metabolomic profiling of plasma samples at regular intervals by using both targeted and untargeted approaches on an existing platform that measures \ 10,000 metabolites (both polar and non-polar); they will compare their relative concentrations (fold change) by genotype at selected loci before and after the interventions. Metabolomics will be performed using LC-MS techniques in the Clish Laboratory of the Broad Institute of MIT and Harvard (Cambridge, MA). Fold-change in metabolite values (from 0-\>120, 0-\>240, and 240-\>360 minutes) will be statistically analyzed to identify distinct patterns of metabolite change in response to mixed meals by genotype. Examples of metabolomic fold-change readouts are provided below, by genotype - limited examples are provided as fold-change reporting for \ 10,000 metabolites, identified and unidentified, at 3 time points would be impracticable.

Time frame: Day 1

ArmMeasureGroupValue (MEAN)Dispersion
Genotype of Interest GroupMetabolomics by Mass Spectrometry Analysis (Reported as Fold Change in Metabolites From Baseline)taurodeoxycholic acid at 120 minutes10.4 fold-change from baselineStandard Deviation 8.8
Genotype of Interest GroupMetabolomics by Mass Spectrometry Analysis (Reported as Fold Change in Metabolites From Baseline)glycochenodeoxycholic acid at 120 minutes6.7 fold-change from baselineStandard Deviation 5.3
ControlMetabolomics by Mass Spectrometry Analysis (Reported as Fold Change in Metabolites From Baseline)taurodeoxycholic acid at 120 minutes4.2 fold-change from baselineStandard Deviation 4
ControlMetabolomics by Mass Spectrometry Analysis (Reported as Fold Change in Metabolites From Baseline)glycochenodeoxycholic acid at 120 minutes3.9 fold-change from baselineStandard Deviation 4.5
Other Pre-specified

Previously Proposed Outcomes: Hunger Perception, Incretin Levels by Immunoassay Kit, Satiety Hormones

Although these outcomes were initially proposed/intended, insufficient funds were available to collect or analyze these measures, and they were not ultimately collected.

Time frame: baseline, 120min, 240min, 360min

Population: Although these outcomes were initially proposed/intended, insufficient funds were available to collect or analyze these measures, and they were not ultimately collected.

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026