- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05402085
N=1 Trials of Individual Variability in Post-prandial Glycemic Responses to Diets of Varying Macronutrient Composition
November 13, 2024 updated by: Mei Hui Liu, National University of Singapore
Physiological, Biochemical and Gut Microbial Determinants of Individual Variability in Post-prandial Glycemic Response to Diets of Varying Macronutrient Composition- Towards Personalized Nutrition Through Aggregated N=1 Trials
The key objective of this study is to identify the most suitable diet (i.e.
high protein, high fat, low GI, high GI) for an individual.
Importantly, we further seek to identify the biological determinants of inter-individual variability and to understand how these determinants affect blood glucose.
The deep metabolic phenotyping, multi-omics profiling of each subject and fine-mapping of their glycemic responses to different diets will allow us to obtain preliminary data on the mechanistic basis underlying inter-individual dietary glycemic response.
Data from this study will form the basis of large clinical trials, the development of novel foods, and/or novel technologies to alter the gut micro-biome for optimal blood glucose control.
Study Overview
Status
Active, not recruiting
Conditions
Detailed Description
Diet plays a large role in determining our blood glucose levels, which in turn, can affect our risk of diabetes mellitus and heart disease.
Traditionally, dietary recommendations are made for populations or groups of people.
There is increasing recognition that each of us is an individual, with our own genetic background, physiology, and lifestyle.
Each of these affects the way we digest and use the nutrients in foods that we consume.
Recent studies have shown that different individuals consuming the same meal have very different glycaemic responses.
The optimal diet for one person may not be the optimal diet for another.
This could explain the controversies around our attempts to define the best diet for the population - there simply isn't one diet that is optimal for everybody.
In our study, we will utilize an n-of-1 study design where each person receives all 3 diets one after another in a random sequence.
We will measure blood glucose using a device that measures the interstitial blood glucose every 15 minutes for 2 weeks.
The glycaemic effects of each diet will then be compared with the control diet in the same individual such that each person serves as his/her own control.
The response is thus individualized.
Study Type
Interventional
Enrollment (Actual)
120
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
-
Singapore, Singapore, 118177
- National University of Singapore
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
21 years to 60 years (Adult)
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria:
- Ability to give informed consent
- 21 to 60 years of age (inclusive) at screening
- Race must be Chinese or Indian or Malay
- Overtly healthy males, as determined by medical history, physical examination and laboratory results within normal reference range for the population or investigator site, or results with acceptable deviations that are judged to be not clinically significant by the investigator
- Males with stable medical problems that, in the investigator's opinion, will not significantly alter the performance of the biomarker panel, will not place the subject at increased risk by participating in the study, and will not interfere with interpretation of the data.
- Not on any regular medications (western / traditional medicine)
- Nutritional supplements with established chemical composition that can be ascertained and clearly recorded is acceptable. Participants have to stop taking nutritional supplements at least 2 weeks before the start of study period.
- Reliable and willing to make themselves available for the duration of the study and are willing to follow study procedures.
Exclusion Criteria:
- Female
- A current smoker, or has smoked in the past 2 years
- History or presence of current lipid and cardiovascular disorders, respiratory, hepatic, renal, gastrointestinal, endocrine, lipid disorder, haematological, malignancy or neurological disorders capable of significantly altering the performance of the biomarker panel; or of interfering with the interpretation of data
- History of food allergies to test foods
- Regular use of medication that may affect glucose metabolism (e.g. steroids)
- History of type 1/type 2 diabetes and use of anti-diabetic medications in the past
- History of regular use of aspirin or vitamin C (both can affect glucose readings on CGM)
- Regularly use known drugs or abuse within 3 years
- Known or ongoing psychiatric disorders within 3 years
- Have donated blood of more than 500 mL within 4 weeks of study enrolment
Have an average weekly alcohol intake that exceeds 21 units per week (males) and 14 units per week (females):
- 1 unit = 12 oz or 360 mL of beer;
- 5 oz or 150 mL of wine;
- 1.5 oz or 45 mL of distilled spirits
- Uncontrolled hypertension (blood pressure [BP] >160/100mmHg)
- Active infection requiring systemic antiviral or antimicrobial therapy that will not be completed prior to Study Day 1
- Treatment with any investigational drug, or biological agent within one (1) month of screening or plans to enter into an investigational drug/ biological agent study during the duration of this study
- Treatment with any investigational drug, or biological agent within one (1) month of screening or plans to enter into an investigational drug/ biological agent study during the duration of this study
- History of bleeding diathesis or coagulopathy
- Any of the following laboratory values at screening:
Fasting glucose >=126mg/dL(>=7mmol/L) or 2 hour post-prandial glucose >=200mg/dL (>=11.1mmol/L)
- Clinically significant (as determined by investigator) abnormalities on laboratory examination that will increase risk to the patient or interfere with data integrity
- Have any other conditions, which, in the opinion of the Investigator would make the subject unsuitable for inclusion, or could interfere with the subject participating in or completing the study
- Significant change in weight (+/- 5%) during the past month
- Any hospitalization or surgery during the 6 months before enrolment in study
- Participants with antibiotic use in past 2 months
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: High Protein Diet
Diet consisting of 40% carbohydrate, 40% protein, 20% fat, with Glycemic Index ~55-65.
|
Subjects will be provided with high protein diet meals for breakfast, lunch, and dinner.
A continuous glucose monitoring device will be used to measure post-prandial glycemic responses.
|
|
Experimental: High Fat Diet
Diet consisting of 40% carbohydrate, 40% fat (25% monounsaturated fatty acids), 20% protein, with Glycemic Index ~55-65.
|
Subjects will be provided with high fat diet meals for breakfast, lunch, and dinner.
A continuous glucose monitoring device will be used to measure post-prandial glycemic responses.
|
|
Experimental: High Carbohydrate-Low Glycemic Index Diet
Diet consisting of 60% carbohydrate, 20% fat, 20% protein, with Glycemic Index ~45-50.
|
Subjects will be provided with high carbohydrate-low glycemic index diet meals for breakfast, lunch, and dinner.
A continuous glucose monitoring device will be used to measure post-prandial glycemic responses.
|
|
Placebo Comparator: High Carbohydrate-High Glycemic Index Diet
Diet consisting of 60% carbohydrate, 20% fat, 20% protein.
|
Subjects will be provided with high carbohydrate-high glycemic index diet meals for breakfast, lunch, and dinner.
A continuous glucose monitoring device will be used to measure post-prandial glycemic responses.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Inter-individual differences in glycemic response to various meal types.
Time Frame: 14 days
|
To quantify inter-individual differences in glycemic response to high carbohydrate-high glycemic index, high carbohydrate-low glycemic index, high-protein and high-fat diets using continuous glucose monitoring.
|
14 days
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Correlation of metagenomic profile to inter-individual glycemic response differences from various meal types.
Time Frame: 14 days
|
Correlation of metagenomic profile from shotgun sequencing of DNA to differences in inter-individual glycemic response of individuals from various meal types (primary outcome).
|
14 days
|
|
Correlation of metabolome profile to inter-individual glycemic response differences from various meal types.
Time Frame: 14 days
|
Correlation of metabolome profile from blood samples to differences in inter-individual glycemic response of individuals from various meal types (primary outcome).
|
14 days
|
|
Correlation of sleep score quality to different glycemic responses from various meal types.
Time Frame: 14 days
|
Correlation of sleep score quality derived from Fitbit active watch to different glycemic responses from various meal types (primary outcome).
|
14 days
|
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Correlation of number of step counts from physical activity to different glycemic responses from various meal types.
Time Frame: 14 days
|
Correlation of number of step counts from physical activity derived from Fitbit active watch to different glycemic responses from various meal types (primary outcome).
|
14 days
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Mei Hui Liu, National University of Singapore
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
September 3, 2020
Primary Completion (Actual)
October 11, 2022
Study Completion (Estimated)
December 31, 2024
Study Registration Dates
First Submitted
May 23, 2022
First Submitted That Met QC Criteria
May 27, 2022
First Posted (Actual)
June 2, 2022
Study Record Updates
Last Update Posted (Actual)
November 15, 2024
Last Update Submitted That Met QC Criteria
November 13, 2024
Last Verified
November 1, 2024
More Information
Terms related to this study
Other Study ID Numbers
- 2019/00638
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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